AI Company Profile
Microsoft
Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
Company Overview
Microsoft is tracked in the Kingy AI company directory because it is connected to public AI launch and tool records. Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
The current public graph connects 10 launches and 10 tools to Microsoft. 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 Microsoft 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 "Microsoft Scout launches as an always-on personal Autopilot agent": Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
Research Notes
When reviewing Microsoft, 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 Microsoft around AI Agents, AI Automation Tools, 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 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 Microsoft is MAI-Code-1-Flash for Copilot Business and Enterprise from June 26, 2026. GitHub made Microsoft's MAI-Code-1-Flash coding model generally available to Copilot Business and Copilot Enterprise on June 26, 2026.
Product Surface
One linked tool profile is Azure AI Foundry. Microsoft unveiled Azure AI Foundry as a unified application platform for designing, customizing, managing, and governing AI solutions. 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 Microsoft 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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GitHub made Microsoft's MAI-Code-1-Flash coding model generally available to Copilot Business and Copilot Enterprise on June 26, 2026.
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Microsoft announced a new wave of AI-powered education capabilities on June 24, 2026, tied to its third AI in Education Report and ISTELive 26.
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Microsoft made Work IQ APIs generally available for agents that need permission-aware Microsoft 365 context, tools, and actions.
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Microsoft made Copilot Cowork generally available worldwide inside Microsoft 365 Copilot for complex, multi-step work.
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Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
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Microsoft announced general availability of agentic Copilot capabilities in Word, Excel, and PowerPoint, enabling multi-step, app-native actions inside documents, spreadsheets, and presentations.
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Microsoft announced Microsoft Agent 365, a control plane for observing, governing, managing, and securing AI agents across organizations, with GA planned for May 1, 2026.
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Microsoft unveiled Azure AI Foundry as a unified application platform for designing, customizing, managing, and governing AI solutions.
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Microsoft announced public-preview plans for autonomous agents in Copilot Studio and introduced new Dynamics 365 autonomous agents.
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Microsoft introduced Phi-3, a family of small language models aimed at efficient, capable AI on constrained hardware and lower-cost deployments.
Company Links
Tool Portfolio
The tool portfolio section turns the company profile into a navigable product map. For Microsoft, Kingy AI currently links 10 tools that can be reviewed separately for pricing, demos, use cases, alternatives, related launches, and source-backed notes.
Azure AI Foundry
Microsoft unveiled Azure AI Foundry as a unified application platform for designing, customizing, managing, and governing AI solutions.
- Pricing
- Azure usage-based pricing applies across the services and models used inside Azure AI Foundry.
- API
- yes
MAI-Code-1-Flash
GitHub made Microsoft's MAI-Code-1-Flash coding model generally available to Copilot Business and Copilot Enterprise on June 26, 2026.
- Pricing
- The model is generally available for Copilot Business and Enterprise and is billed at provider list pricing under GitHub's usage-based billing. Access depends on plan, administrator policy, supported Copilot surfaces, and current model availability; GitHub's model and pricing documentation should be checked before rollout.
- API
- no
Microsoft 365 Copilot Cowork
Microsoft 365 Copilot Cowork executes multi-step tasks across Microsoft 365 services while retaining enterprise permissions and action approvals.
- Pricing
- Cowork requires Microsoft 365 Copilot and uses Copilot Credits for usage-based tasks; confirm current pay-as-you-go and committed-volume terms with Microsoft.
- API
- Unknown
Microsoft 365 Copilot Passport: Price & Privacy
Microsoft 365 Copilot is Microsoft's AI assistant and agent platform across Microsoft 365 applications, work data, and enterprise controls.
- Pricing
- Access depends on current Microsoft 365 and Copilot licensing, capacity, and organizational rollout terms.
- API
- yes
Microsoft 365 Education AI Teaching Capabilities: Access, Controls, and QA
Microsoft 365 Education bundles educator planning, classroom AI guidance, differentiated grouping, live learning activities, notebooks and guided study capabilities under institution-controlled identity and licensing.
- Pricing
- The documented capabilities may require no separate paid Microsoft 365 Copilot license, but they depend on eligible education licensing and tenant configuration. A1 can be donated to eligible institutions; A3 and A5 pricing varies.
- API
- no
Microsoft Agent 365
Microsoft announced Microsoft Agent 365, a control plane for observing, governing, managing, and securing AI agents across organizations, with GA planned for May 1, 2026.
- Pricing
- Announced at $15 per user for Agent 365, with availability also tied to Microsoft 365 E7 according to Microsoft’s announcement.
- API
- yes
Microsoft Copilot Studio
Microsoft Copilot Studio is a managed low-code platform for creating, connecting, governing, and deploying agents across Microsoft and external systems.
- Pricing
- Licensing and usage depend on current Copilot Studio plans, capacity, connected services, and Microsoft enterprise terms.
- API
- yes
Microsoft Scout
Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
- Pricing
- Private preview/experimental Frontier access at launch; access required Frontier enrollment, Intune policy configuration, opt-in attestation, and eligible licensing.
- API
- no
Microsoft Work IQ APIs: What It Does, Pricing, Use Cases, and Alternatives
Microsoft made Work IQ APIs generally available for agents that need permission-aware Microsoft 365 context, tools, and actions.
- Pricing
- Microsoft announced general availability for June 16, 2026. Work IQ API usage is consumption-based through Copilot Credits, with variable Chat and Context consumption and static tool-call consumption; customers should verify current licensing, tenant setup, and pricing guidance.
- API
- yes
Phi
Phi is Microsoft's evolving family of small language and multimodal models designed for efficient reasoning and deployment across local and hosted environments.
- Pricing
- Open-model use and hosted inference costs depend on the selected Phi model, license, and deployment platform.
- 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.
MAI-Code-1-Flash for Copilot Business and Enterprise
GitHub made Microsoft's MAI-Code-1-Flash coding model generally available to Copilot Business and Copilot Enterprise on June 26, 2026.
- 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.
GitHub made Microsoft's MAI-Code-1-Flash generally available to Copilot Business and Enterprise — a coding model tuned for fast iterative work, with reasoning length adapting…
Microsoft 365 Education AI Teaching Capabilities
Microsoft announced a new wave of AI-powered education capabilities on June 24, 2026, tied to its third AI in Education Report and ISTELive 26.
- Launch readiness
- 6.4 / 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.
Microsoft announced a wave of AI-powered education capabilities on June 24, 2026, tied to its third AI in Education Report and ISTELive 26 (news.microsoft.com).…
Microsoft Work IQ APIs
Microsoft made Work IQ APIs generally available for agents that need permission-aware Microsoft 365 context, tools, and actions.
- 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: 2026-07-09.
- 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.
Microsoft made Work IQ APIs generally available on June 16, 2026, giving agents permission-aware Microsoft 365 context, tools, and actions with consumption-based Copilot Credits…
Microsoft Copilot Cowork
Microsoft made Copilot Cowork generally available worldwide inside Microsoft 365 Copilot for complex, multi-step work.
- Launch readiness
- 7.8 / 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: 2026-07-10.
- 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.
Microsoft made Copilot Cowork generally available worldwide inside Microsoft 365 Copilot, moving the assistant toward delegated multi-step work across documents, communications, and organizational context…
Microsoft Scout launches as an always-on personal Autopilot agent
Microsoft introduced Scout, its first Autopilot agent, designed to stay active in the background, connect across Microsoft 365 apps, and help coordinate work under enterprise controls.
- Launch readiness
- 5.9 / 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: 2026-06-08.
- 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.
Microsoft introduced Scout, its first Autopilot agent — designed to stay active in the background, connect across Microsoft 365 apps, and coordinate work under…
Microsoft makes Copilot’s agentic capabilities in Word, Excel, and PowerPoint generally available
Microsoft announced general availability of agentic Copilot capabilities in Word, Excel, and PowerPoint, enabling multi-step, app-native actions inside documents, spreadsheets, and presentations.
This is a major mainstream agent launch because it brings agentic behavior into Office apps used by billions of people.
Microsoft announces Agent 365 general availability as an AI agent control plane
Microsoft announced Microsoft Agent 365, a control plane for observing, governing, managing, and securing AI agents across organizations, with GA planned for May 1, 2026.
This is one of the clearest signs that agent governance is becoming a standalone enterprise software category.
Introducing Microsoft Azure AI Foundry
Microsoft unveiled Azure AI Foundry as a unified application platform for designing, customizing, managing, and governing AI solutions.
- 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: 2026-06-08.
- 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.
Microsoft unveiled Azure AI Foundry, a unified platform for designing, customizing, managing, and governing AI applications, live at ai.azure.com (azure.microsoft.com). AI Engineers, Developers, and…
New autonomous agents scale your team like never before
Microsoft announced public-preview plans for autonomous agents in Copilot Studio and introduced new Dynamics 365 autonomous agents.
- Launch readiness
- 6.3 / 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.
Microsoft announced public-preview plans for autonomous agents in Copilot Studio and introduced new Dynamics 365 autonomous agents, putting enterprise agents inside its business-software distribution…
Introducing Phi-3
Microsoft introduced Phi-3, a family of small language models aimed at efficient, capable AI on constrained hardware and lower-cost deployments.
- 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: 2026-06-08.
- 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.
Microsoft introduced Phi-3, a family of small language models aimed at efficient, capable AI on constrained hardware and lower-cost deployments (azure.microsoft.com). Developers and Edge…
How To Evaluate This Company
A useful Microsoft 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, Microsoft 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
- 2
- Freshness
- Needs recheck: checked June 8, 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.