AI Company Profile
OpenAI
OpenAI is an AI research and deployment company. Its products include ChatGPT and tools for developers.
Company Overview
OpenAI is tracked in the Kingy AI company directory because it is connected to public AI launch and tool records. OpenAI is an AI research and deployment company. Its products include ChatGPT and tools for developers.
The current public graph connects 35 launches and 18 tools to OpenAI. 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 Enterprise Platform Teams, the useful question is not only what OpenAI 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
OpenAI describes itself as an AI research and deployment company. Its company website links to ChatGPT, Codex and its API platform. These official sources establish company and product identity; they do not establish independent product performance.
Research Notes
When reviewing OpenAI, 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 OpenAI around AI Productivity 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 Enterprise Platform Teams. 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 OpenAI is OpenAI Assistants API was sunset on August 26, 2026 from August 26, 2026. OpenAI’s Assistants API reaches its shutdown deadline on August 26, 2026. OpenAI recommends Responses API and Conversations API, with documented mappings from Assistants to configuration or prompt structures, Threads to Conversations, Runs to Responses and Run Steps to Items.
Product Surface
One linked tool profile is AgentKit. OpenAI launched AgentKit with Agent Builder, Connector Registry, ChatKit, and Evals capabilities for agent development; OpenAI later said Agent Builder and Evals are winding down and will be unavailable after November 30, 2026. 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 OpenAI 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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OpenAI’s Assistants API reaches its shutdown deadline on August 26, 2026. OpenAI recommends Responses API and Conversations API, with documented mappings from Assistants to configuration or prompt structures, Threads to Conversations, Runs to Responses and Run…
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OpenAI published the Codex Security command-line client and TypeScript SDK. The CLI supports repository and change review, bulk scans, history, CI workflows, SARIF output and false-positive feedback. The SDK exposes typed findings, preflight checks, progress events…
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OpenAI began rolling GPT-Live-1 and GPT-Live-1 mini into ChatGPT Voice for users globally. The voice model uses full-duplex audio for simultaneous listening and speaking, and it can delegate search, reasoning or longer work to a separate…
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OpenAI release notes list Codex Remote general availability and a DigitalOcean plugin update for Codex workflows.
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OpenAI introduced expanded ChatGPT Enterprise credit analytics and spend controls, including user, product and model breakdowns, a unified Cost API, workspace defaults, group limits, user overrides and increase requests.
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OpenAI added a dedicated Scheduled page and improved one-time, recurring, and monitoring tasks in ChatGPT.
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OpenAI launched a global program for firms that build, sell and deliver AI solutions, with Select, Advanced and Elite tiers, a public partner directory, planned specializations and a stated $150 million ecosystem investment.
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OpenAI announced an agreement to acquire Ona, subject to customary closing conditions, with the stated intent to bring Ona’s secure, persistent, customer-controlled cloud execution and orchestration technology into Codex.
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OpenAI announced Dreaming, a ChatGPT memory update that refreshes memories over time so ChatGPT can keep remembered context more useful.
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OpenAI introduced new GPT-Rosalind capabilities aimed at improving biological reasoning, bioinformatics, and autonomous scientific workflows.
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OpenAI announced the Agent Builder lifecycle deadline: the visual workflow builder is deprecated and scheduled to shut down on November 30, 2026. OpenAI documents two migration directions—rebuild equivalent behavior with the Agents SDK or move suitable…
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OpenAI expanded Codex across roles, tools, and workflows, positioning it as a broader professional agent for software-adjacent and knowledge-work tasks.
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OpenAI launched ChatGPT Sites in preview for eligible ChatGPT Business workspaces, allowing teams to create, host, refine, deploy, and share lightweight websites and web apps through ChatGPT and Codex.
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OpenAI announced an API lifecycle deadline for gpt-image-1-mini, gpt-image-1.5 and chatgpt-image-latest. Those model IDs are scheduled to shut down on December 1, 2026, with gpt-image-2 listed as their replacement.
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OpenAI announced that frontier models and Codex are available on AWS, expanding enterprise deployment options for OpenAI-powered agentic workflows.
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OpenAI released GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper for realtime voice reasoning, translation, and streaming transcription in the API.
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OpenAI released GPT-5.5, a frontier model for agentic coding, computer use, knowledge work, and research workflows across ChatGPT, Codex, and the API.
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OpenAI introduced Workspace Agents in research preview for ChatGPT Business, Enterprise, Edu and Teachers. Teams can build and share Codex-powered agents with instructions, tools, apps and skills, invoke them in ChatGPT or Slack and run eligible…
Company Links
Tool Portfolio
The tool portfolio section turns the company profile into a navigable product map. For OpenAI, Kingy AI currently links 18 tools that can be reviewed separately for pricing, demos, use cases, alternatives, related launches, and source-backed notes.
AgentKit
OpenAI launched AgentKit with Agent Builder, Connector Registry, ChatKit, and Evals capabilities for agent development; OpenAI later said Agent Builder and Evals are winding down and will be unavailable after November 30, 2026.
- Pricing
- AgentKit components were included with standard OpenAI API model pricing at launch. OpenAI now says Agent Builder and Evals are winding down and recommends Agents SDK for code-based workflows and Workspace Agents for natural-language workflows.
- API
- yes
ChatGPT agent
OpenAI introduced ChatGPT agent as a unified agentic system combining research, browser action, code execution, and connected app workflows.
- Pricing
- Available for eligible ChatGPT Pro, Plus, and Team plans at launch, with plan-based access and limits.
- API
- no
ChatGPT deep research
OpenAI launched deep research in ChatGPT as an agentic research capability that plans, searches the public web, analyzes sources, and synthesizes cited reports for complex questions.
- Pricing
- At launch, deep research started in ChatGPT Pro with usage limits and later expanded across ChatGPT plans; current limits vary by plan.
- API
- no
ChatGPT image generation
OpenAI added advanced image generation to GPT-4o, emphasizing prompt following, text rendering, photorealism, visual editing, and image creation from chat context.
- Pricing
- Available through ChatGPT image generation access and OpenAI product rules; limits and availability vary by plan and product surface.
- API
- yes
ChatGPT Passport: Plans, Privacy & Data Boundaries
ChatGPT is OpenAI's general-purpose AI assistant for writing, research, coding, image creation and analysis, voice, and everyday work.
- Pricing
- Free and paid plans are available; plan features, limits, and current prices are listed on ChatGPT's official pricing page.
- API
- yes
ChatGPT Sites
ChatGPT Sites is a Codex-desktop build-and-deploy product. Its useful boundary is that deployments are production URLs and capability or account claims must stay inside official documentation.
- Pricing
- ChatGPT Sites launched for eligible ChatGPT Business workspaces with Codex access. Current availability and cost follow the applicable ChatGPT workspace plan, region, workspace settings, and usage terms.
- API
- no
Codex
Codex is OpenAI's coding agent for writing, reviewing, and shipping code across local projects, editors, terminals, cloud tasks, and automated workflows.
- Pricing
- Codex access and usage limits vary by ChatGPT plan and account; current eligibility and prices are listed on OpenAI's Codex and ChatGPT pricing pages.
- API
- no
Codex on AWS
OpenAI announced that frontier models and Codex are available on AWS, expanding enterprise deployment options for OpenAI-powered agentic workflows.
- Pricing
- AWS/OpenAI commercial pricing and service availability depend on AWS product, region, model, and account eligibility.
- API
- yes
GPT-5.3-Codex
OpenAI introduced GPT-5.3-Codex, describing it as a more capable agentic coding model for Codex, long-running tasks, and broader professional computer work.
- Pricing
- Available through paid ChatGPT/Codex plans and Codex surfaces; API/plan details depend on access tier.
- API
- yes
GPT-5.3-Codex-Spark
OpenAI released GPT-5.3-Codex-Spark, a smaller ultra-fast Codex model designed for real-time coding collaboration and low-latency edits.
- Pricing
- Research preview availability for ChatGPT Pro users at launch, with separate rate limits and limited API partner access.
- API
- yes
GPT-5.5
OpenAI released GPT-5.5, a frontier model for agentic coding, computer use, knowledge work, and research workflows across ChatGPT, Codex, and the API.
- Pricing
- Available in ChatGPT and Codex through paid plans; API pricing for gpt-5.5 is listed at $5 per 1M input tokens and $30 per 1M output tokens, with gpt-5.5-pro priced higher.
- API
- yes
GPT-Live: ChatGPT Voice capabilities, limits and API status
GPT-Live powers ChatGPT Voice with full-duplex listening and speaking and can delegate search, reasoning and longer tasks to a separate frontier model while the conversation continues. GPT-Live API access has not launched.
- Pricing
- OpenAI did not announce a standalone GPT-Live price. Its July 8 release assigns GPT-Live-1 to ChatGPT Go, Plus and Pro and GPT-Live-1 mini to Free. Current ChatGPT Voice documentation lists separate desktop allowances by plan and states that Desktop Voice is not available via API key; verify the live plan page because limits and surfaces can change.
- API
- no
GPT-Rosalind
GPT-Rosalind is OpenAI's purpose-built model for life-sciences research, designed to reason across biology, scientific evidence, data, and approved research tools.
- Pricing
- Access is limited to qualified customers and public-benefit programs through OpenAI's trusted-access process; commercial terms are provided during access review.
- API
- yes
OpenAI API
The OpenAI API gives developers programmatic access to OpenAI models and tools for text generation, reasoning, coding, vision, audio, image generation, and agentic workflows.
- Pricing
- Usage is billed by model and feature; current rates are listed on OpenAI's official API pricing page.
- API
- yes
OpenAI o1
OpenAI released the first o1 reasoning model preview, designed to spend more time on hard problems in science, coding, and math.
- Pricing
- Available through eligible ChatGPT plans and OpenAI API access; pricing and limits are set by OpenAI plan and API pages.
- API
- yes
OpenAI reasoning models
OpenAI released o3 and o4-mini, reasoning models designed to solve harder multi-step tasks and use tools such as web search, Python, file analysis, vision, and image generation.
- Pricing
- Available across eligible ChatGPT and API surfaces with model-specific limits and usage-based API pricing documented by OpenAI.
- API
- yes
Sora
OpenAI moved Sora out of research preview as a standalone video generation product powered by Sora Turbo.
- Pricing
- Released for ChatGPT Plus and Pro users at launch, with plan-based generation limits and feature access.
- API
- no
Workspace Agents: Research-Preview Capabilities, Governance, and Evaluation
Workspace Agents lets eligible ChatGPT workspaces build, share and operate Codex-powered agents with instructions, tools, apps and skills, including ChatGPT or Slack invocation, schedules and API-triggered runs under organization controls.
- Pricing
- Workspace Agents remains a research preview. The initial free-use period ended May 6, 2026; current usage follows workspace credit terms, with included and additional credits depending on the eligible plan.
- API
- yes
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.
OpenAI Assistants API was sunset on August 26, 2026
OpenAI’s Assistants API reaches its shutdown deadline on August 26, 2026. OpenAI recommends Responses API and Conversations API, with documented mappings from Assistants to configuration or prompt structures,…
Treat August 26 as an operational deadline, not a feature launch or a find-and-replace exercise. OpenAI documents object and orchestration changes, including explicit tool-loop…
OpenAI releases Codex Security CLI and TypeScript SDK in limited beta
OpenAI published the Codex Security command-line client and TypeScript SDK. The CLI supports repository and change review, bulk scans, history, CI workflows, SARIF output and false-positive feedback. The…
The CLI and SDK make Codex Security easier to insert into repeatable engineering workflows and expose useful integration primitives such as typed findings, SARIF,…
GPT-Live launches in ChatGPT Voice; API access remains pending
OpenAI began rolling GPT-Live-1 and GPT-Live-1 mini into ChatGPT Voice for users globally. The voice model uses full-duplex audio for simultaneous listening and speaking, and it can delegate…
GPT-Live’s important change is architectural and experiential: continuous interaction is separated from deeper task execution. That could make voice useful for steering work rather…
OpenAI Codex Remote GA and DigitalOcean Plugin
OpenAI release notes list Codex Remote general availability and a DigitalOcean plugin update for Codex workflows.
- 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: 2026-07-09.
- 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.
OpenAI's release notes list Codex Remote reaching general availability alongside a DigitalOcean plugin update for Codex workflows (developers.openai.com). AI Engineers and Developers running coding-agent…
ChatGPT Enterprise Usage Analytics and Spend Controls
OpenAI introduced expanded ChatGPT Enterprise credit analytics and spend controls, including user, product and model breakdowns, a unified Cost API, workspace defaults, group limits, user overrides and increase…
The release gives enterprise administrators a more useful operating loop: observe usage, set layered limits, review exceptions and reconcile against billing. It does not…
ChatGPT Scheduled Tasks
OpenAI added a dedicated Scheduled page and improved one-time, recurring, and monitoring tasks in ChatGPT.
- 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: 2026-07-10.
- 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.
OpenAI added a dedicated Scheduled page and improved one-time, recurring, and monitoring tasks in ChatGPT, documented on its help-center pages (help.openai.com). ChatGPT Users who…
OpenAI Partner Network
OpenAI launched a global program for firms that build, sell and deliver AI solutions, with Select, Advanced and Elite tiers, a public partner directory, planned specializations and a…
The Partner Network gives enterprises a more structured way to discover OpenAI-focused delivery firms and gives partners clearer tiers and program infrastructure. A directory…
OpenAI Ona Acquisition for Codex
OpenAI announced an agreement to acquire Ona, subject to customary closing conditions, with the stated intent to bring Ona’s secure, persistent, customer-controlled cloud execution and orchestration technology into…
Ona gives OpenAI a credible route toward persistent, governed execution for Codex, but the announcement is a transaction and product-direction statement, not proof that…
ChatGPT Dreaming memory update
OpenAI announced Dreaming, a ChatGPT memory update that refreshes memories over time so ChatGPT can keep remembered context more useful.
- Launch readiness
- 6.2 / 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.
OpenAI announced Dreaming, a ChatGPT memory update that refreshes remembered context over time so long-lived memories stay useful (openai.com). ChatGPT Users and Teams with…
OpenAI updates GPT-Rosalind with new agentic scientific capabilities
OpenAI introduced new GPT-Rosalind capabilities aimed at improving biological reasoning, bioinformatics, and autonomous scientific workflows.
- Launch readiness
- 5.7 / 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.
OpenAI introduced new GPT-Rosalind capabilities aimed at biological reasoning, bioinformatics, and autonomous scientific workflows (openai.com). Biology Researchers and Bioinformatics Teams tracking AI-assisted discovery should…
OpenAI Agent Builder shutdown deadline: November 30, 2026
OpenAI announced the Agent Builder lifecycle deadline: the visual workflow builder is deprecated and scheduled to shut down on November 30, 2026. OpenAI documents two migration directions—rebuild equivalent…
Treat November 30 as a workflow migration deadline, not a new product launch and not a one-line model swap. Export each workflow, inventory nodes,…
OpenAI expands Codex for every role, tool, and workflow
OpenAI expanded Codex across roles, tools, and workflows, positioning it as a broader professional agent for software-adjacent and knowledge-work tasks.
- Launch readiness
- 6.1 / 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: 2026-06-08.
- 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.
OpenAI expanded Codex across roles, tools, and workflows, positioning it as a broader professional agent for software-adjacent knowledge work (openai.com). Developers, Product Managers, Data…
ChatGPT Sites
OpenAI launched ChatGPT Sites in preview for eligible ChatGPT Business workspaces, allowing teams to create, host, refine, deploy, and share lightweight websites and web apps through ChatGPT and…
- 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: 2026-07-09.
- 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.
OpenAI launched ChatGPT Sites in preview for eligible ChatGPT Business workspaces — teams create, host, refine, and share lightweight websites and web apps through…
OpenAI GPT Image API shutdown deadline: December 1, 2026
OpenAI announced an API lifecycle deadline for gpt-image-1-mini, gpt-image-1.5 and chatgpt-image-latest. Those model IDs are scheduled to shut down on December 1, 2026, with gpt-image-2 listed as their…
Treat December 1 as a production migration deadline, not an image-model launch. Change the pinned model ID in a test environment, then compare output…
OpenAI frontier models and Codex become available on AWS
OpenAI announced that frontier models and Codex are available on AWS, expanding enterprise deployment options for OpenAI-powered agentic workflows.
- Launch readiness
- 6.2 / 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.
OpenAI announced that its frontier models and Codex are available on AWS, confirmed by both companies' posts (openai.com). Enterprise Platform Teams standardized on AWS…
Advancing voice intelligence with new models in the API
OpenAI released GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper for realtime voice reasoning, translation, and streaming transcription in the API.
A high-signal API launch because it moves voice AI toward realtime agents that can reason, translate, transcribe, and act during a conversation.
Introducing GPT-5.5
OpenAI released GPT-5.5, a frontier model for agentic coding, computer use, knowledge work, and research workflows across ChatGPT, Codex, and the API.
- Launch readiness
- 8.0 / 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.
OpenAI released GPT-5.5, a frontier model for agentic coding, computer use, and research workflows, shipping across ChatGPT, Codex, and the API with documented rates…
OpenAI launches Workspace Agents as a governed research preview
OpenAI introduced Workspace Agents in research preview for ChatGPT Business, Enterprise, Edu and Teachers. Teams can build and share Codex-powered agents with instructions, tools, apps and skills, invoke…
Workspace Agents matters because it couples repeatable team agents with workspace ownership, permissions and approval controls instead of leaving automation in one employee’s chat.…
How To Evaluate This Company
A useful OpenAI 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, OpenAI 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
- 7
- 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.
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.