Lexenne builds AI-powered systems that eliminate the high-stakes, time-consuming information work — in careers, homes, spending, and markets. You set the direction. The agents handle the rest.
AI handles the tedious, high-stakes information work. Humans make the final calls. That principle scales from individual careers to boardroom strategy.
Eight specialized agents collaborate daily to scrape target company career pages, score opportunities against your profile with vector similarity and LLM reasoning, and surface only the matches worth your attention — with full reasoning. You review and apply. Agents never submit on your behalf.
A privacy-first hub that unifies home assets, family logistics, maintenance schedules, documents, and subscriptions. AI surfaces what needs attention before problems occur — and handles what doesn't require your judgment. Runs locally; no cloud vendor lock-in.
Tracks what you own, prevents duplicate purchases before they happen, surfaces zombie subscriptions you're no longer using, and provides buy-vs-own economics with real data. The deduplication engine that powers Strata — applied to your household.
Continuous intelligence on competitive dynamics, market signals, emerging threats, and strategic opportunities — synthesized for executive decision-making. Built on the same governed multi-agent architecture as Strata, tuned for market analysis at enterprise scale. Delivers structured weekly and real-time strategic digests, not dashboards nobody reads.
Four principles that apply equally to a job seeker's daily dashboard and a CEO's weekly market brief.
High-stakes decisions always have a human gate. Agents prepare — they scrape, score, synthesize, and recommend. Humans decide. This isn't a limitation; it's the architecture. Systems that remove human judgment in consequential domains create liability, not leverage.
Each product learns your profile, preferences, and patterns. The longer you use it, the more precisely it models what matters — and the less you need to explain. Value is not static at signup. It grows with the relationship.
Lexenne products handle personal and proprietary data — career history, home details, spending patterns, competitive strategy. We treat that as a privilege. Local inference where possible. No data resold. Transparent about what we store and why.
AI inference costs are explicit and bounded in every product. Strata runs for $10–36/month. Hearth's LLM budget scales automatically with subscription revenue. Enterprise pricing is transparent and proportional. No surprise bills — for you, or for us.
Andrew Crenshaw founded Lexenne after 25 years building enterprise technology systems — customer data platforms, CRM ecosystems, AI orchestration frameworks. Most recently as Head of GTM Engineering at Macmillan Learning, where he designed and deployed a production multi-agent AI framework used daily.
Lexenne is the application of that thinking at both the human and organizational scale: governed multi-agent architecture, precision cost modeling, and human-in-the-loop discipline — applied to the decisions that shape your life and your strategy.
andrewcrenshaw.devLexenne products are in active development. Join the list to get early access, product updates, and the occasional note from Andrew on what we're learning as we build.
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