Task-specific models.
We fine-tune models around specific tasks, with testing to guide improvements in quality and usefulness.
MODEL DEVELOPMENTAgentic AI software
We build agentic AI products that turn speech, intent, and information into useful work.
Our Windows dictation prototype is being tested by users. Planned products include agentic code review, application testing, and security testing.
Explore our productsFrom spoken thoughts to the tools you use every day.
01 / What we’re building
Speech is our starting point. We’re exploring how the same foundation can power communication, content, software development, and security.
Our first product turns speech into usable text in the applications people already use. A working Windows prototype brings together models we fine-tune and inference infrastructure we operate.
The same speech foundation can support captions, transcripts, and meeting summaries. We plan to turn recordings and conversations into content people can read, search, and put to use.
Our speech models and inference infrastructure can support applications such as automated customer service and conversational assistants. These are examples of how we could extend the technology, rather than announced products.
We plan to build agents that examine code changes for bugs and security vulnerabilities, investigate findings, and give developers actionable feedback. The workflow will be designed to carry security checks through to completion without unnecessary interruptions.
Our planned testing tools will use agents to exercise application workflows and report what they find. The goal is repeatable testing that helps teams catch regressions and spend less time repeating manual checks.
We plan to build fully agentic security tools that test live websites and examine source code for vulnerabilities. Agents will coordinate checks, investigate findings, and produce reports with evidence and suggested fixes.
Development status is shown for each product. Additional applications illustrate what our technology could support.
02 / Our approach
We connect model fine-tuning, inference infrastructure, and application development so we can improve quality, performance, and cost together.
We fine-tune models around specific tasks, with testing to guide improvements in quality and usefulness.
MODEL DEVELOPMENTWe operate inference infrastructure so we can work directly on performance, cost, and how our applications behave.
SYSTEMS & INFERENCEWe’re building toward a useful free tier, with paid features for people and teams who make our products part of their day.
PRODUCT & EXPERIENCEDevelopment priorities: accuracy, responsiveness, and operating cost.
03 / Start a conversation
Get in touch about early product access, feedback, or potential partnerships.