I architect AI that moves the P&L.

Write models in plain, English-like syntax and instantly get interactive, comparable scenarios — forecasts, optimization, and automatic equation discovery from your data. A spreadsheet crossed with a proof engine.

• Neurosymbolic solver: an LLM turns intent into a formal model, then a rigorous engine finds provably-optimal decisions.
• One codebase ships as both a collaborative web app and a native offline desktop app.
• Automatic symbolic regression discovers candidate equations and ranks them by fit.

A Chrome side-panel agent you talk to. It reads the active page, performs deterministic actions, saves successful workflows as reusable recipes, and replays them on demand or on a schedule — RPA without the enterprise weight.

• Deterministic action spine: every step carries pre/post-condition contracts and resumes from the exact point of failure.
• Adaptive model routing beat Opus on a hard benchmark at a fraction of the cost.
• Self-repairing recipes survive UI changes by relocating moved controls and re-validating intent.

A deterministic policy engine that sits between AI coding agents and dangerous operations — blocking risky shell commands and file actions before they run, with signed, tamper-proof receipts. Published as an open framework and SDK.

• 39 paired chaos tests: zero incidents with Enact vs. 8 critical failures without it.
• Every block maps 1:1 to a documented real-world agent disaster.
• Non-repudiable HMAC-signed receipts — an agent can't claim it ran what was blocked.

An AI workspace that ends the tab-juggling between ChatGPT, Docs, and email. It unifies Gmail, Drive, Calendar, and CRM, learns your writing style from sent mail, researches prospects, and drops ready-to-send drafts straight into Gmail.

• Multi-agent research: a conductor decomposes a query into parallel tasks and triangulates sources.
• Style personalization drafts replies that sound like you, not a robot.
• Unified inbox ties drafts to live HubSpot deal status and calendar context.

A local-first knowledge engine that watches your files, web pages, AI chats, Drive, and Gmail, then injects cited facts straight into Claude.ai and ChatGPT — so the AI already knows your stuff. Runs entirely on your machine, no cloud required.

• One ingest spine unifies local folders, web, chats, Drive, and Gmail into typed facts.
• Hybrid search: BM25 + local vectors + a knowledge graph for exact and relationship-aware recall.
• Chrome extension and MCP server feed grounded, cited context into your AI tools.

An operating system for AI coding agents: deterministic guardrails that block the wrong move before it lands, plus a memory layer that forces lessons to be written down so the same mistake can't recur. Turns advice the agent ignores into rules it can't skip.

• Guardrails enforce engineering judgment — TDD-first, root-cause, no silent fallbacks — deterministically, not the ~80% compliance of written advice.
• A compounding memory loop: every real mistake forces a logged lesson, auto-injected next session, so it can't happen twice.
• Session continuity lets a fresh — or cheaper — agent resume without re-deriving state.

Walkthrough of a managed agents platform for production rollout, including a live Box document extractor: reads a document, extracts key fields, and uploads them back securely with permissions already handled.

A short walkthrough recorded live.