From a single agent to a coordinated workforce.
Every agent we ship is scoped to a real job, wired into your systems, and measured against outcomes, not demos.
Autonomous agents
Goal-driven agents that plan, use tools, and complete multi-step tasks with minimal supervision.
Workflow automation
End-to-end automation of repetitive processes across your CRM, docs, email, and internal tools.
Multi-agent systems
Orchestrated teams of specialized agents that hand off work and collaborate toward a shared goal.
RAG & knowledge assistants
Agents grounded in your documents and databases so answers are accurate, sourced, and current.
Tool & API integration
We give agents safe, typed access to the exact tools and APIs they need to actually take action.
Evals & guardrails
Automated evaluations, safety rails, and human-in-the-loop controls so quality holds in production.
Put agents where the busywork is.
Customer support
Resolve tickets, draft replies, and escalate the edge cases to humans.
Sales & lead ops
Enrich leads, personalize outreach, and keep the CRM clean automatically.
Document processing
Extract, classify, and route contracts, invoices, and forms at scale.
Internal copilots
Give teams an assistant that knows your docs, tools, and playbooks.
Data analysis agents
Query, summarize, and surface insights from your data on demand.
Back-office ops
Automate scheduling, reconciliation, and repetitive admin end to end.
A path from use-case to production.
De-risked in stages. You see a working agent early and we harden it before it touches customers.
Discover & scope
We map the highest-ROI use-cases and define what "good" looks like with measurable success criteria.
Design architecture
Agent design, tool access, memory, and data grounding, plus a proof-of-concept to de-risk it.
Build & integrate
We wire the agent into your stack with typed tools, RAG, and secure access to real systems.
Evaluate & deploy
Automated evals, guardrails, and monitoring, then a staged rollout with humans in the loop.
Built on the best tool for the job.
We're not locked to one vendor. We choose the model, framework, and datastore that fit your accuracy, latency, and cost targets, and swap them as the frontier moves.
AI that survives contact with production.
- Evals from day one. We measure agent quality with real test sets, not vibes, so you can trust the output.
- Your data stays yours. We architect for privacy and can keep everything inside your environment.
- Senior engineers only. The people who scope your agent are the ones who build and ship it.
- Built to hand over. Clean code, docs, and monitoring in your repos: no black boxes, no lock-in.
AI agents, answered.
What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An agent takes action. It plans, uses tools and APIs, and completes multi-step tasks toward a goal. We build both, but agents are where the real operational leverage is.
How long does it take to ship an agent?
A scoped proof-of-concept typically lands in 2–3 weeks, and a production-ready agent in around six. Timelines depend on how many systems it integrates with and your compliance requirements.
How do you stop agents from making things up?
We ground agents in your data with retrieval, constrain them with typed tools, and gate risky actions behind guardrails and human approval. Automated evals catch regressions before they reach users.
Which model do you use?
We're model-agnostic: OpenAI, Anthropic, Gemini, or open models like Llama. We pick per use-case based on accuracy, latency, and cost, and keep the option to switch as better models ship.
Can you integrate with our existing tools?
Yes. Agents connect to your CRM, help desk, databases, and internal APIs through secure, typed tool interfaces, so they act inside the systems your team already uses.
Ready to put an agent to work?
Tell us the process you'd love to automate. We'll come back with a scoped plan, a timeline, and the team to ship it.