AI Agents & Copilots
We build specialized, tool-using agents that act as a force multiplier for your team, securely interacting with your internal systems.
Autonomous agents with firm guardrails.
Support agents
Agents that can read docs, check order status, and issue refunds autonomously.
Sales & outreach copilots
Researching leads, drafting highly personalized emails, and updating the CRM.
Research & analysis
Agents that can scour the web, synthesize reports, and extract key insights.
Internal copilots
Chat over your own knowledge base with strict access controls.
MCP integrations
Building the tools and servers that let agents interact with your product.
Human-in-the-loop
Seamless handoffs to human operators when confidence scores drop.
What changes
in eight weeks.
Indicative ranges from past engagements. We scope a target number with you before we start.
Built for this domain.
Research Agent
An autonomous research system that forms hypotheses, investigates them in parallel, and preserves evidence so previous work can be reused.
Read the case →- Shortlists a set of plausible hypotheses for a research question before beginning deeper investigation.
- Runs parallel sub-agents that independently gather evidence and attempt to accept or reject each hypothesis.
- Stores useful findings and experiment results so later runs can reuse previous work instead of repeating the same investigation.
- Maintains provenance across each run, connecting conclusions to supporting evidence, executed steps, code, metrics, and intermediate results.
- Uses execution logs and evaluation feedback to identify failure patterns and improve subsequent agent behavior.
Customer Support Chatbot
An agentic customer-support assistant grounded in company-specific information and validated against a dedicated evaluation suite.
Read the case →- Grounds responses in company-specific knowledge rather than relying solely on the model's pretrained knowledge.
- Uses retrieval to identify relevant information before generating an answer, keeping responses connected to available source material.
- Supports agentic workflows where requests can be routed through different retrieval or reasoning paths depending on the question.
- Includes evaluation datasets and automated graders to repeatedly test answer quality, retrieval performance and failure cases.
- Adds telemetry and execution traces so incorrect responses can be inspected, reproduced and improved instead of treated as isolated chatbot failures.
Things people ask
about this work.
Let's build something
that works.
Tell us where you're trying to go. One of the founders replies within 48 hours with an honest view on how we can help.