Enterprise AI Agents
We build AI agents that handle real tasks — processing documents, coordinating between systems, making routine decisions at scale. Built for production, not for demos. So your team can focus on the work that actually needs a human.
AI Agents — Task-specific agents built for production. We design agents with the right tools, memory architecture, and decision logic to handle real workflows reliably at scale — with human oversight integrated where it matters, not added as an afterthought.
Graph RAG — When your data is too interconnected for flat retrieval. We build knowledge graph-augmented RAG systems that navigate entity relationships, surface precise answers from complex enterprise data structures, and dramatically reduce hallucination risk.
Task Automation — End-to-end workflow automation across your existing systems. Document ingestion, routing decisions, multi-system coordination — designed to handle volume and edge cases without requiring constant human intervention to stay on track.
- DiscoveryWe map your workflows in detail, identify which tasks are strong automation candidates, and define scope, success criteria, and safety boundaries before writing any code. Poorly scoped automation causes more problems than it solves.
- DesignAgent architecture, tool selection, memory design, and constraint definition. We specify the system completely before building — including how it fails gracefully and what happens when it encounters something outside its operating envelope.
- Build & TestDevelopment, integration with your systems, red-team evaluation, and adversarial testing. We deliberately try to break agents before deployment. An agent we haven’t stress-tested doesn’t go to production.
- DeployProduction rollout with monitoring dashboards, alert configuration, and human-in-the-loop controls designed from the start — not bolted on after. Ongoing visibility into what the agent is doing and why.
Every agent system ships with the architecture documentation and production code, a full integration layer with API documentation, and a monitoring dashboard with alert configuration — built to run reliably without requiring constant human oversight. Teams that want us to continue running and evolving the system can extend into an ongoing operations retainer.