AI Company Profile
Google announced Gemini 3.5 Live Translate for more fluid, natural voice translation across Gemini-related products and developer surfaces.
Company Overview
Google is tracked in the Kingy AI company directory because it is connected to public AI launch and tool records. Google announced Gemini 3.5 Live Translate for more fluid, natural voice translation across Gemini-related products and developer surfaces.
The current public graph connects 26 launches and 14 tools to Google. That turns this profile into a working research hub: use it to move from the company to its product surface, then into dated launch records with source checks, verification status, and related Kingy AI context.
For AI builders, buyers, creators, founders, researchers, and operators, the useful question is not only what Google says about itself. The useful question is what the launch pattern shows: which categories the company is active in, which tools have durable profiles, whether pricing and demos are clear, and whether the source trail is strong enough for deeper editorial or creator coverage.
AI Product Evidence
This company profile is backed by the linked AI launch record "Gemini 3.5 Live Translate": Google announced Gemini 3.5 Live Translate for more fluid, natural voice translation across Gemini-related products and developer surfaces.
Research Notes
When reviewing Google, check the official product surface, docs, demos, pricing, model or API pages, and linked Kingy AI launch records before relying on claims for buying, writing, comparison, or creator-coverage decisions.
Source-Backed Profile Notes
This profile is checked against public source links where available. Official product pages, documentation, model pages, pricing pages, launch announcements, and verified company pages should carry more weight than social posts or unsourced summaries.
Market Position
Kingy AI currently classifies Google around AI Developer Tools, AI Models, AI Voice/Audio Tools. Those categories are not meant to be a marketing slogan; they are a practical way to understand where the company shows up in the launch database and how it may intersect with product strategy, adoption, search demand, and creator education.
Audience Fit
This profile is especially useful for teams comparing AI products and launch signals. A complete read should start with the company snapshot, continue through the linked tools and launch timeline, and end with the source panel so claims can be checked before a buying decision, article, comparison, or video brief.
Latest Tracked Move
The most recent linked launch for Google is Gemini 4 Argon from September 30, 2026. Gemini 4 Argon is rolling out to trusted cyber defenders in the Fairwind Program. Wider developer, enterprise and consumer access is still planned. Access: Trusted cyber-defender rollout; not public API GA.
Product Surface
One linked tool profile is BigQuery Agent Analytics. Google Cloud introduced BigQuery Agent Analytics, an ADK plugin for streaming agent interaction data into BigQuery for analysis, dashboards, and optimization. The tool profile is where Kingy AI keeps product-level details such as what it does, pricing clarity, API availability, alternatives, related launches, and source-backed evaluation notes.
Launch Graph And Timeline
The launch graph is the most important part of this page. It shows how Google appears through dated AI product events instead of a generic company description. Each launch record can include category, audience, source links, pricing notes, demo signals, scoring, and a best-next-link path for deeper research.
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Gemini 4 Argon is rolling out to trusted cyber defenders in the Fairwind Program. Wider developer, enterprise and consumer access is still planned. Access: Trusted cyber-defender rollout; not public API GA.
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Gemini 3.8 Live gains Live Avatar for Gemini Enterprise. Custom avatar access is allowlisted. Access: Gemini Enterprise; custom avatars allowlisted.
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Google opened applications for a two-day Gemini Startup Forum for seed-to-Series-A companies building with AI.
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Google currently lists no shutdown date or recommended replacement for the stable gemini-2.5-pro model. Kingy has withdrawn its earlier October 16 retirement claim.
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Google deprecated temperature, top_p and top_k for Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and later Gemini models. The named models ignore those parameters; future generations will return HTTP 400, while requests ending in a non-empty model…
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Google published an end-to-end elastic-training workflow for MaxText, Pathways, GKE, and Cloud TPUs on July 6, 2026.
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Google introduced the Genkit Agents API in preview for TypeScript and Go, with a shared chat interface, streaming, server- or client-managed state, snapshots, human interrupts, detached tasks and agent delegation.
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Google announced Google Ads API v24.2 on June 24, 2026, including AI Transparency: Synthetic Content Labeling.
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Google made Gemini Enterprise Workflow Agents generally available with an allowlist, enabling authorized users to create, import, update and run triggered sequences that mix AI automation, connected actions and human intervention.
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Google opened preorders for Google Home Speaker, its first audio device built for the Gemini for Home voice assistant.
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Google's June Pixel Drop added Gemini Omni video creation and editing, Gemini music generation, and additional AI-assisted creator features to supported Pixel devices.
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Google announced that imagen-4.0-generate-001, imagen-4.0-ultra-generate-001 and imagen-4.0-fast-generate-001 are deprecated. Its deprecations table lists August 17, 2026 as the earliest possible shutdown date and recommends gemini-nano-banana-2.1.
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The Go Team launched a public GET-only v1beta pkg.go.dev API for structured search and package ecosystem metadata, including packages, modules, symbols, versions, known vulnerabilities and imported-by relationships, with an OpenAPI contract.
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Google announced that it had joined the Eclipse Foundation as a Strategic Member effective April 2026. Google says it will sponsor Open VSX, use the Open VSX Managed Registry and participate in the Foundation’s Board of…
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Google expanded Gemini in Chrome to desktop and iOS users in Latin America, Africa, the Middle East, and additional markets.
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Google announced Gemini 3.5 Live Translate for more fluid, natural voice translation across Gemini-related products and developer surfaces.
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Google launched Managed Agents in the Gemini API, allowing developers to run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and skills.
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Google introduced Gemini Spark as a 24/7 personal AI agent alongside a more agentic Gemini app, Daily Brief, and other I/O 2026 Gemini updates.
Company Links
Tool Portfolio
The tool portfolio section turns the company profile into a navigable product map. For Google, Kingy AI currently links 14 tools that can be reviewed separately for pricing, demos, use cases, alternatives, related launches, and source-backed notes.
BigQuery Agent Analytics
Google Cloud introduced BigQuery Agent Analytics, an ADK plugin for streaming agent interaction data into BigQuery for analysis, dashboards, and optimization.
- Pricing
- BigQuery and model consumption; no flat agent fee verified
- API
- yes
Gemini API
Google’s developer inference API with separately priced models and tools.
- Pricing
- US/USD: Flash 3.8 US$0.75 input / US$3.75 output per million tokens
- API
- yes
Gemini API Managed Agents
Google launched Managed Agents in the Gemini API, allowing developers to run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and skills.
- Pricing
- Preview free quota; paid tokens and tools beyond limits
- API
- yes
Gemini Deep Research
Gemini Deep Research is an agentic research feature that plans multi-step investigations, browses web and selected Workspace sources, synthesizes findings, and produces detailed reports.
- Pricing
- Limited consumer access; paid Google plans raise limits
- API
- yes
Gemini Enterprise Agent Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for building, scaling, governing, and optimizing enterprise AI agents. It is the evolution of Vertex AI and includes the capabilities previously grouped under Vertex AI…
- Pricing
- Google Cloud regional usage; quote complete deployment
- API
- yes
Gemini Enterprise Workflow Agents: Access, Pricing, and Evaluation
Gemini Enterprise Workflow Agents run configured sequences of AI automation, connected actions and human intervention in response to a trigger inside the Gemini Enterprise web app.
- Pricing
- Business from $21/seat/month; confirm currency and entitlement
- API
- Unknown
Gemini in Chrome Market Expansion: What It Does, Pricing, Use Cases, and Alternatives
Google expanded Gemini in Chrome to desktop and iOS users in Latin America, Africa, the Middle East, and additional markets.
- Pricing
- Eligible Google account; paid personalization depends on plan
- API
- no
Gemini Spark
Gemini Spark is Google’s personal agent for tasks across connected apps. The May 19, 2026 launch described trusted testers and a planned U.S. Ultra beta. The current FAQ lists Google AI Pro and Ultra…
- Pricing
- Eligible Google AI Pro/Ultra; region and age restrictions
- API
- no
Genkit Agents API: State, Pricing, Risks, and Evaluation
Genkit Agents API provides a full-stack agent primitive with a shared chat interface, streaming, server- or client-managed state, snapshots, human interrupts, detached tasks and delegation.
- Pricing
- C$0 Apache-2.0 framework; hosting and model usage extra
- API
- Unknown
Google Home Speaker
A Google smart speaker with voice assistance and smart-home controls.
- Pricing
- Canada/CAD: C$139.99 hardware
- API
- Unknown
Jules
Google launched Jules in public beta as an asynchronous coding agent that reads code, plans tasks, makes changes, and integrates with GitHub workflows.
- Pricing
- Free tier; paid quota follows eligible Google AI plan
- API
- yes
MaxText Elastic Training
Google published an end-to-end elastic-training workflow for MaxText, Pathways, GKE, and Cloud TPUs on July 6, 2026.
- Pricing
- Open-source code; GKE, TPU and storage charges separate
- API
- yes
NotebookLM
NotebookLM is Google's source-grounded AI research assistant for organizing material, asking cited questions, and turning sources into study guides, briefings, Audio Overviews, mind maps, and other formats.
- Pricing
- Free access; paid Google-plan upgrades vary by region
- API
- no
pkg.go.dev API: Endpoints, Limits, Risks, and Evaluation
The pkg.go.dev v1 API provides GET-only JSON access to search, package, module, symbol, version, vulnerability and imported-by metadata for the Go ecosystem.
- Pricing
- Public API; no separate subscription identified
- API
- Unknown
Launch Record Cards
Use these cards when you want the shorter scan view: category, launch date, scores, open/API/free-plan signals, and the path into the full launch profile.
Gemini 4 Argon
Gemini 4 Argon is rolling out to trusted cyber defenders in the Fairwind Program. Wider developer, enterprise and consumer access is still planned. Access: Trusted cyber-defender rollout; not…
Argon requires confirmed Fairwind access before deployment planning. Announced future API prices do not establish public API access.
Gemini 3.8 Live with Live Avatar
Gemini 3.8 Live gains Live Avatar for Gemini Enterprise. Custom avatar access is allowlisted. Access: Gemini Enterprise; custom avatars allowlisted.
Confirm Gemini Enterprise access and Live Avatar approval. Those checks come before promising a customer-facing integration.
Google opens Gemini Startup Forum Winter 2026 applications
Google opened applications for a two-day Gemini Startup Forum for seed-to-Series-A companies building with AI.
Gemini Startup Forum Winter 2026 addresses a concrete need: The program is a practical access point for early-stage AI startups that need technical guidance…
Google currently lists no Gemini 2.5 Pro shutdown date
Google currently lists no shutdown date or recommended replacement for the stable gemini-2.5-pro model. Kingy has withdrawn its earlier October 16 retirement claim.
Remove October 16 from plans that treated it as an official Gemini 2.5 Pro cutoff. Monitor Google’s deprecation table, and evaluate any voluntary model…
Gemini changes sampling and turn-validation rules for new models
Google deprecated temperature, top_p and top_k for Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and later Gemini models. The named models ignore those parameters; future generations will return HTTP…
Google’s July 21 announcement deprecated sampling parameters for the new models released then. The moving latest-model guide now covers Gemini 3.8 Flash and its…
Elastic Training with MaxText
Google published an end-to-end elastic-training workflow for MaxText, Pathways, GKE, and Cloud TPUs on July 6, 2026.
- Launch readiness
- 7.1 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google published an end-to-end elastic-training workflow for MaxText across Pathways, GKE, and Cloud TPUs, turning a mid-training slice failure into a recoverable event (developers.googleblog.com).…
Genkit Agents API
Google introduced the Genkit Agents API in preview for TypeScript and Go, with a shared chat interface, streaming, server- or client-managed state, snapshots, human interrupts, detached tasks and…
- Launch readiness
- 7.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-28.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Genkit Agents API removes repeated full-stack agent plumbing while leaving teams in control of runtime and state ownership. The preview can introduce breaking changes…
Google Ads API v24.2 AI Transparency Features
Google announced Google Ads API v24.2 on June 24, 2026, including AI Transparency: Synthetic Content Labeling.
- Launch readiness
- 6.7 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-25.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google announced Google Ads API v24.2 on June 24, 2026, adding AI Transparency synthetic-content labeling with release notes, samples, and updated client libraries (developers.google.com).…
Gemini Enterprise Workflow Agents
Google made Gemini Enterprise Workflow Agents generally available with an allowlist, enabling authorized users to create, import, update and run triggered sequences that mix AI automation, connected actions…
- Launch readiness
- 6.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-28.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Gemini Enterprise Workflow Agents offer a more governable structure than an improvised multi-step chat, but GA does not mean open access: the Cloud project…
Google Home Speaker with Gemini
Google opened preorders for Google Home Speaker, its first audio device built for the Gemini for Home voice assistant.
- Launch readiness
- 6.9 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-10.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google opened preorders for Google Home Speaker at a listed $99.99, its first audio device built for the Gemini for Home assistant (blog.google). Google…
Gemini Omni in June Pixel Drop
Google's June Pixel Drop added Gemini Omni video creation and editing, Gemini music generation, and additional AI-assisted creator features to supported Pixel devices.
- Launch readiness
- 6.5 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google's June 2026 Pixel Drop added Gemini Omni video creation and editing plus Gemini music generation to supported Pixel devices (blog.google). Pixel Owners, Mobile…
Google Imagen 4 API shutdown date passed on August 17, 2026
Google announced that imagen-4.0-generate-001, imagen-4.0-ultra-generate-001 and imagen-4.0-fast-generate-001 are deprecated. Its deprecations table lists August 17, 2026 as the earliest possible shutdown date and recommends gemini-nano-banana-2.1.
Google’s current lifecycle table retains August 17, 2026 as the shutdown date for three Imagen 4 API model IDs and now recommends gemini-nano-banana-2.1. Preserve…
pkg.go.dev API
The Go Team launched a public GET-only v1beta pkg.go.dev API for structured search and package ecosystem metadata, including packages, modules, symbols, versions, known vulnerabilities and imported-by relationships, with…
The pkg.go.dev API replaces brittle HTML scraping with an official structured interface and gives AI coding tools a cleaner evidence source. It remains v1beta,…
Google announces Eclipse Foundation strategic membership
Google announced that it had joined the Eclipse Foundation as a Strategic Member effective April 2026. Google says it will sponsor Open VSX, use the Open VSX Managed…
The membership matters less as a brand announcement than as governance and infrastructure support for Open VSX, which is used by multiple AI-integrated developer…
Gemini in Chrome Market Expansion
Google expanded Gemini in Chrome to desktop and iOS users in Latin America, Africa, the Middle East, and additional markets.
- Launch readiness
- 6.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-09.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google expanded Gemini in Chrome to desktop and iOS users across Latin America, Africa, the Middle East, and additional markets (blog.google). Consumers, Students, and…
Gemini 3.5 Live Translate
Google announced Gemini 3.5 Live Translate for more fluid, natural voice translation across Gemini-related products and developer surfaces.
- Launch readiness
- 6.8 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-12.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google announced Gemini 3.5 Live Translate for more natural live voice translation across Gemini products, with the Live API documented for builders (blog.google). Developers,…
Google launches Managed Agents in the Gemini API
Google launched Managed Agents in the Gemini API, allowing developers to run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and skills.
- Launch readiness
- 6.7 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google launched Managed Agents in the Gemini API, letting developers run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and…
Google introduces Gemini Spark as a 24/7 personal AI agent
Google introduced Gemini Spark as a 24/7 personal AI agent alongside a more agentic Gemini app, Daily Brief, and other I/O 2026 Gemini updates.
- Launch readiness
- 6.6 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-07-10.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Google introduced Gemini Spark on May 19, 2026 as a personal agent that works across connected apps under the user’s direction. The launch described…
Kingy coverage
Kingy AI articles about Google and its products, newest first.
- NewsGoogle AI Edge Foresight Brings Offline Meeting Notes to the Mac
- BlogGoogle’s Gemini Work Agent Supports Claude. The AI Coworker Race Gets More Interesting
- BlogGoogle Playground’s real test: games worth playing twice
- BlogGoogle Playground: The Complete Guide to AI Game Creation, Pricing, Specs and Benchmarks
- BlogOpenAI vs Google DeepMind in Mathematics: Proofs, People and Compute
- BlogNano Banana 2.1 Launches: Specs, Pricing, Benchmarks and Comparisons
- BlogGemini 4 Argon vs GPT-6 Astra, GPT-6.1 Sol and Claude 5.5: Frontier AI Models Compared
- BlogGemini 4 Argon: Specs, Benchmarks, Pricing and Model Comparisons
More coverage (12)
- NewsGoogle Tests Buying Flipkart Products Inside Gemini in India
- NewsGoogle’s Gemini Hacked Three Real Companies — And the Story Is Bigger Than the Breaches
- NewsGoogle Opens the Door to Claude for All Engineers—and the AI Coding Race Just Got More Interesting
- NewsOpenAI, Google and Anthropic Put Rivalry Aside to Explore a Joint AI Standards Body
- NewsGoogle Brings Mechanize’s AI Coding Talent to DeepMind. What Happened to the Reported $1.5 Billion Deal?
- BlogChatGPT Images 2.5 vs Nano Banana 2: Specs, Pricing, and the Tests That Matter
- BlogGemini 3.8 Flash Cyber Benchmarks Explained: CyberGym, CWE-Bench, Fairwind Access & What Google Hasn’t Disclosed
- BlogGemini 3.8 Flash Review: Benchmarks, Specs, Pricing & Verdict
- GuideGemini 3.7 Flash Migration Guide: Sampling Controls, Thinking Levels and Turn Validation
- NewsGemini Robotics 2 Brings Whole-Body Intelligence to Robots
- NewsGemini 3.5 Flash Just Learned How to Use a Computer — and Yes, That Means Clicking Buttons Too
- NewsAI Launch Tracker: Gemma 4 QAT Leads the June 6 Shift Toward Smaller, Harder-Working AI Systems
How To Evaluate This Company
A useful Google review should combine company-level context with product-level evidence. Start with the official site, then inspect the linked tools and launch records for source quality, pricing clarity, demo availability, audience fit, and how recently the profile was verified.
- Check whether the company has a clear official product path, documentation, demo, pricing page, or public launch announcement.
- Compare the linked tool profiles against the launch timeline to see whether the product story is current or stale.
- Use the category and audience tags as discovery aids, then verify claims through the source links before making a buying, writing, or creator-coverage decision.
- Treat unknown funding, founder, or contact fields as research gaps, not negative signals. They identify where the profile needs more public evidence.
- When a launch or tool looks important but under-documented, submit a correction or related launch so the graph can be improved.
Editorial And Creator Coverage Notes
For Kingy AI, Google is most interesting when the company has a clear product change, a useful demo surface, a founder or team story, a strong comparison angle, or a launch that helps buyers understand where the AI market is moving. The current graph gives editors and creators a starting point without pretending that every profile is already complete.
Good coverage candidates usually have a specific workflow, visible product proof, a concrete audience, and enough official or high-quality public sources to avoid thin summaries. If those pieces are missing, this page should be read as a research queue as much as a company profile.
Verification And Source Notes
The verification panel below summarizes profile freshness and key source checks. It is intentionally visible because AI company pages become low-trust quickly when dates, product claims, funding notes, or source links are not kept current.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 4
- Freshness
- Needs recheck: checked June 12, 2026
- Last updated
- June 8, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Creator Coverage Next Steps
This company has launch, tool, or audience signals that may support demos, reviews, creator education, founder storytelling, or practical product explainers.