Verified AI Launch Intelligence
See what launched, what changed, and what it costs.
Track AI product launches, model updates, pricing changes and tested workflows. Each record separates official sources, company claims, Kingy testing and third-party evidence so you can see what is known and what remains unverified.
Daily radar
Today's AI Launches
A Radar edition publishes only when the day has enough source-ready signal; the tracker continues to show the newest verified records.
Daily AI Launch Radar: July 24, 2026
Daily Kingy AI Launch Radar for 2026-07-24: source-checked AI launches, product updates, pricing notes, use cases, and risks worth watching.
No source-ready records are tagged for today yet, so this section is showing the latest public launch records available in the tracker.
Microsoft Project Perception
Summary: Microsoft announced Project Perception, an agentic security system that coordinates specialized red, blue, and green agents inside Microsoft Defender.
Why it matters: The launch brings attack simulation, defense testing, and threat-scenario planning into one Microsoft Defender workflow. Its practical effectiveness and cost remain unproven until security…
- Pricing
- Microsoft says Project Perception uses consumption-based, pay-as-you-go pricing measured in Security Compute Units (SCUs). Different agents consume SCUs at different rates; Microsoft did not publish numeric SCU rates in the checked launch sources.
- Verification
- Verified; 3 sources
Anthropic deprecates non-default sampling controls on newer Claude models
Summary: Anthropic deprecated non-default temperature, top_p and top_k values on Claude Opus 4.7 and later models. Requests that set them now return HTTP 400; Anthropic says to…
Why it matters: This is a request-compatibility break for teams that carry sampling overrides forward between Claude versions. Remove non-default temperature, top_p and top_k values before moving…
- Pricing
- The parameter deprecation has no separate charge. Claude API usage is billed per token at model-specific rates; Anthropic currently lists Claude Opus 4.7 at $5 per million base input tokens and $25 per million output tokens. New users receive a small amount of free API credits.
- Verification
- Verified; 2 sources
kausable raises €12 million for adaptive causal AI
Summary: Heidelberg-based kausable raised a verified €12 million seed round to develop causal AI models intended to adapt to new contexts with minimal data.
Why it matters: kausable seed round addresses a concrete need: The funding backs a technically different approach to adaptive AI, but claims about eliminating retraining and handling…
- Pricing
- No public pricing was verified in this run.
- Verification
- Verified; 1 source
Google opens Gemini Startup Forum Winter 2026 applications
Summary: Google opened applications for a two-day Gemini Startup Forum for seed-to-Series-A companies building with AI.
Why it matters: 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…
- Pricing
- No application fee or program price was stated in the official announcement.
- Verification
- Verified; 2 sources
Health in ChatGPT connects U.S. health and wellness data
Summary: OpenAI launched a U.S. rollout that lets eligible ChatGPT users connect health records and supported wellness data for more contextual health conversations.
Why it matters: Health in ChatGPT addresses a concrete need: Connected records make health conversations more personally relevant, but the launch also raises practical questions about rollout…
- Pricing
- Health in ChatGPT is included within ChatGPT access rather than listed as a separate paid product. OpenAI says GPT-5.5 Instant is available on the Free plan and GPT-5.6 Sol is available to paid users; current ChatGPT plan pricing should be checked separately.
- Verification
- Verified; 3 sources
GitHub Issues adds agent automation controls
Summary: GitHub added public-preview approval, confidence, and rationale controls for agent-driven changes to issue labels, fields, types, status, and assignees.
Why it matters: Agent automation controls in GitHub Issues addresses a concrete need: The controls make issue automation more observable and reviewable, but GitHub explicitly says approvals…
- Pricing
- GitHub did not publish a separate price for the public-preview controls. Availability depends on eligible GitHub and Copilot plans and organization settings.
- Verification
- Verified; 4 sources
Kingy Launch Brief
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Weekly awards
This Week's Strongest AI Launches
The weekly awards edition is editorial, source-aware, and designed to separate useful launch signal from announcement noise.
Kingy AI Launches of the Week: June 15-19, 2026
Kingy AI Launches of the Week for June 15-19, 2026: editorial awards for GitHub Agent Finder, Microsoft Copilot Cowork, GitHub Copilot App, Gemini Omni, MolmoMotion, ChatGPT Scheduled Tasks, and the…
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Launch tracker
Browse the AI Launch Tracker
Search source-backed launch records, then use common filters first and advanced filters only when you need a narrower view.
kausable raises €12 million for adaptive causal AI
Heidelberg-based kausable raised a verified €12 million seed round to develop causal AI models intended to adapt to new contexts with minimal data.
kausable seed round addresses a concrete need: The funding backs a technically different approach to adaptive AI, but claims about eliminating retraining and handling…
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…
Kastra runtime authorization for AI agents
Kastra applies policies to tools, prompts, inputs, and outputs across several agent environments. Its product pages describe local enforcement, centralized policy management, audit trails, and integrations spanning coding…
Kastra addresses a concrete need: As agents gain access to files, credentials, and operational systems, authorization must happen at action time. The main limitation…
Buzzy agentic canvas for multi-scene AI video
Buzzy organizes characters, objects, locations, shots, and model outputs on a visual canvas. Makers say users can revise individual scenes, change camera angle or lighting, reuse references across…
Buzzy addresses a concrete need: The launch focuses on continuity and shot-level control, two practical constraints that become more important when AI video work…
OpenAI Presence managed enterprise agents
Each deployment begins with a defined job and limited access to the knowledge and systems required for that job. Companies set policies, approved actions, and escalation conditions. Simulations…
OpenAI Presence addresses a concrete need: The launch packages agent design, deployment controls, operational evaluation, and post-launch improvement into one managed enterprise offering rather…
box by ASCII persistent virtual machines for coding agents
A box is a persistent Ubuntu machine with SSH and SCP access, Docker, a dedicated IPv4 address, a virtual desktop, snapshots, and disk-level forking. The official docs provide…
box by ASCII addresses a concrete need: Long-running and parallel coding agents need isolated computers with persistent state. The main limitation is this: The…
Rex governed agents for order-to-cash work
Rex launched a set of governed AI agents for collections, customer-portal work, accounts-receivable inboxes, cash application, and dispute handling.
Rex addresses a concrete need: Order-to-cash work crosses inboxes, finance systems, and customer portals, making it a useful test of whether agentic software can…
Creed portable Markdown context for AI agents
Creed launched a portable Markdown-based context file that gives supported AI agents a user-controlled record of preferences, projects, and working style.
Creed addresses a concrete need: Users increasingly move among several assistants, while the context each one learns usually stays trapped in a product. The…
Deck AI chief of staff with a delegated inbox
Deck launched an AI chief of staff with its own inbox, letting a user copy selected email threads, assign follow-up work, and schedule recurring routines without granting full…
Deck addresses a concrete need: Giving an assistant its own inbox offers a narrower permission model than granting access to an entire mailbox, while…
Lunen enterprise agent orchestration layer
Lunen.ai launched an early-access enterprise orchestration layer for defining agents in plain language and governing their tools, data access, approvals, schedules, and audit trails.
Lunen.ai addresses a concrete need: Enterprises experimenting with agents need controls at the action layer, not only prompt guidelines. The main limitation is this:…
Fuzzy AI relationship-first sales workspace
Fuzzy AI launched a relationship-first sales workspace that combines prospect research, LinkedIn engagement, personalized outreach, sequencing, and human-reviewed replies.
Fuzzy AI addresses a concrete need: Fuzzy reflects a shift from high-volume AI prospecting toward systems that try to coordinate research, public engagement, and…
Replay QA autonomous web application testing loop
Replay QA launched an autonomous web-app testing loop that explores a URL or connected repository, records browser execution, finds bugs, and returns root-cause analysis with suggested fixes.
Replay QA addresses a concrete need: AI-assisted development has shortened build cycles without eliminating QA work; Replay QA packages browser execution evidence and debugging…
Nautis AI-native operating system for startups
Nautis launched an AI-native operating system that brings a startup's planning, fundraising, finance, contacts, documents, hiring, and operating context into one workspace.
Nautis addresses a concrete need: Startup operations are often fragmented across documents, spreadsheets, CRMs, and chat tools; Nautis is a current example of products…
Skippr embeddable real-time product agent
Skippr AI launched an embeddable real-time agent that can speak with users, understand an application's context, demonstrate workflows, and operate the product with approval controls.
Skippr AI addresses a concrete need: Skippr represents a product-interface trend in which software companies embed an agent that can demonstrate and operate the…
Loova Ads Studio unified AI ad workflow
Loova Ads Studio launched a unified workflow for generating UGC-style videos, product commercials, avatar videos, and static advertising creatives from prompts, products, or product URLs.
Loova Ads Studio addresses a concrete need: Ad teams increasingly need many platform-specific creative variants; Loova Ads Studio bundles product ingestion, generative video, image…
Muse Image launched publicly; Muse Video was previewed rather than fully launched
Muse Image launched publicly in Meta AI; Muse Video was previewed as a coming-soon video generation experience rather than a fully available public launch.
- Kingy
- 7.2 / 10
- Demo
- Not scored yet
- YouTube
- Not scored yet
Meta launched Muse Image publicly in Meta AI — free for everyday creation with subscription paths for more — while previewing Muse Video as…
GitHub Copilot Cost Centers AI Credit Pools
GitHub added AI credit pools to cost centers on July 2, 2026 so eligible enterprises can cap how much included Copilot AI credit usage a group draws from…
- Kingy
- 6.8 / 10
- Demo
- Not scored yet
- YouTube
- Not scored yet
GitHub added AI credit pools to cost centers, letting eligible enterprises cap how much included Copilot usage a group draws from the shared pool…
Bluerails Discovery
Bluerails launched Discovery, a free per-domain report that repeats prompts across ChatGPT, Perplexity, Gemini and Claude and presents AI-visibility metrics with uncertainty ranges.
- Kingy
- 7.3 / 10
- Demo
- Not scored yet
- YouTube
- Not scored yet
Repeated sampling and published confidence intervals make Discovery more useful than a one-answer snapshot. The remaining risk is outcome validity: Kingy did not reproduce…
The Kingy AI Referral Index
AI assistants sent 1.3% of kingy.ai's own traffic. Published studies put the web-wide figure anywhere from under 1% to 25%. The index reconciles them, catalogued by method.
Methodology
How Kingy AI Scores Launches
Kingy AI scoring is designed for launch discovery, editorial review, creator planning, and buyer trust checks.
Kingy score
A directional editorial score for launch clarity, source quality, audience fit, pricing visibility, demo usefulness, and practical buyer or creator value.
Demo score
A signal for whether the product can be shown, tested, explained, or compared without relying on vague announcement copy.
YouTube potential
A creator-fit signal for demos, tutorials, before-and-after workflows, explainers, reviews, and audience-specific product education.
Source verification
Records distinguish verified, needs verification, and founder submitted status using official URLs, source links, last-verified dates, and correction paths.
Pricing clarity
Pricing signals favor launches with visible pricing, free-plan status, pricing pages, API access notes, or clear uncertainty when pricing is not public.
Use-case clarity
Launches are easier to evaluate when the audience, workflow, category, demo, and alternative comparison are obvious from public sources.
Founder and sponsor fit
Founder submissions and sponsor interest are routing signals only; editorial review still checks source quality, public claims, demo clarity, and usefulness.
Verification labels
Verified means enough public source evidence is present, needs verification means the record needs more checking, and founder submitted means the entry came through the submission path.
Scores are editorial signals, not scientific benchmarks, paid placements, or guarantees.
Founder submission
Submit Your AI Launch
Founders can send a launch for editorial review when the public source trail is ready to verify.
What to include
- Product name
- Website
- Launch date
- What launched
- Official source links
- Pricing page
- Demo/video
- Company info
- Category
- Public funding info
- Screenshots/media
Privacy note
Do not submit secrets, unreleased financials, private customer data, or regulated personal data.
Submit only public product, company, source, pricing, demo, and media details that Kingy AI can review without logging into private systems.
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