DEEPSTONE builds autonomous AI agents and retrieval infrastructure for organizations that treat intelligence as core infrastructure — not a feature.
Agents that act and search that understands — built on shared infrastructure, deployable together or apart.
Custom autonomous agents that plan, execute, and verify multi-step work across your systems — from operations workflows to customer-facing automation.
A retrieval engine that understands intent, not just keywords — grounding answers in your organization's own knowledge with verifiable citations.
Planning, tool routing, and self-verification loops that keep long-running agents reliable — with human checkpoints where they matter.
Continuously-updated indexes over heterogeneous data, tuned for both precision and recall — the memory layer every agent depends on.
Every deployment ships with automated evals, regression gates, and guardrails — so behavior is measured, not assumed.
DEEPSTONE is an applied AI company. We don't publish demos — we deliver systems that hold up under real traffic, real data, and real accountability.
Our team spans ML research, search infrastructure, and enterprise engineering — one group, end to end, from model to deployment.
Tell us what you're building. We'll show you what agents and search can do on your own data.