Agents that do real work — and hold up in production.
We design and build AI agents that plan, retrieve knowledge, call your systems and hand off to people when they should. Built on AWS, measured with evaluations, and secure by design.
Services
Use-case discovery
Find the workflows where an agent pays off — and the ones where it shouldn't be used.
- Workflow and data-readiness review
- ROI and risk scoring per use case
- Build-vs-buy recommendation
Agent engineering
Single- and multi-agent systems with clear plans, tools and guardrails.
- Amazon Bedrock Agents and AgentCore
- Open frameworks such as LangGraph and Strands
- Human-in-the-loop checkpoints
Tools & integrations
Connect agents to the systems where work happens, with the right permissions.
- Model Context Protocol (MCP) servers
- APIs for CRM, ITSM, ERP and internal apps
- Identity-aware, on-behalf-of access
Knowledge & retrieval
Ground answers in your own content without leaking what users shouldn't see.
- Bedrock Knowledge Bases and OpenSearch
- Document-level access control in retrieval
- Citations and source traceability
Evaluation & LLMOps
Know an agent works before and after it ships.
- Task-level evaluation suites and regression gates
- Tracing, cost and latency dashboards
- Model and prompt versioning
What you walk away with
Not a demo — deployed on your AWS account with CI/CD and monitoring.
An evaluation suite that tells you when a change makes the agent better or worse.
Agent identity, scoped tool access and audit logging from the first release.
Have an agent idea — or a stalled pilot?
We'll help you decide what to build, then build it properly.