We build production-grade AI agents that complete enterprise workflows end-to-end. Founded in 2024 in San Francisco, operated by Future Intelligence LLC.
FuturOne exists to make production-grade AI agents accessible to every enterprise team. We believe the future of work isn't about replacing people with AI — it's about giving teams AI agents that handle the repetitive, high-volume work so humans can focus on judgment, creativity, and strategy.
We build the execution layer that makes this possible: an AI agent platform with workflow planning, automatic recovery, and zero data retention. Our agents do not just answer questions — they complete multi-step workflows end-to-end, from strategy analysis to code engineering to content production and research.
Every design decision we make optimizes for reliability over novelty, transparency over autonomy, and production readiness over demo impressiveness. We ship infrastructure that teams bet their operations on. If you want to see what that looks like in practice, the live demo walks through the same orchestration engine our customers run in production.
Three principles that guide everything we build.
AI should complete tasks, not just answer questions. Our agents handle multi-step workflows end-to-end — from research to deliverable — so teams get outcomes, not conversations.
80% of the problem is reliability, not intelligence. We obsess over uptime, failover, latency, and observability — the unglamorous work that makes AI actually usable in production.
Agents should flag uncertainty, not hide it. Every output includes confidence scores and citation trails so teams can trust the work and know exactly where to verify.
What we have shipped, in order. The full record lives in the changelog.
Future Intelligence LLC incorporated in San Francisco. The first year went into the orchestration runtime — scheduling, retries, failover, and the zero-retention data path — built alongside a small group of design partners before anything was public.
First customer workflows in production: PR review for an engineering team and due-diligence research for an investment team. Zero-retention architecture in place from the first request.
Coding, strategy, content, and research agents generally available, with the public API and SDKs for Python and Node.
The code review agent gained security pattern detection and began generating auto-fix pull requests for confirmed issues.
Enterprise single sign-on and SCIM provisioning shipped, cutting average enterprise compliance approval to roughly two weeks.
Independent workflow steps now execute concurrently — a 2.4x throughput improvement on multi-step runs.
Multi-step research agent released with source verification and confidence scoring on every claim it makes.
Dashboard for per-workflow latency, run volume, error rates, and cost attribution by agent and team.
The operating model behind the product.
We are deliberately small. Most of the team has spent years running cloud-native and distributed systems in production, and it shows in what we prioritize: failover paths, queue behavior under load, and observability before features.
Enterprise rollouts are led by forward-deployed engineers who sit with your team, map the actual workflow, and get the first agent into production — not a slide deck and a sandbox login.
Nothing ships without SLOs, runbooks, and a rollback path. We run FuturOne agents on our own operations daily, and every release lands in the changelog and on the status page.
The infrastructure behind FuturOne agents.
Write to nancy-sl@futurmix.one with what you have shipped.
Questions, partnerships, or enterprise inquiries — we'd love to hear from you.
nancy-sl@futurmix.one
Replies within one business day.
San Francisco, CA
United States
The live demo walks through real agent runs — coding, strategy, content, and research — step by step.
Start with the free tier. Scale to enterprise when you're ready.