Services
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Autonomous agents and workflow automation.
Right now, somewhere: an agent is answering support tickets at 2am.
Under the hood
Everything an agent needs, built in.
Agent orchestration
Tasks routed across a graph of agents, each handling the part it is best at.
Cost & token monitoring
Every model call metered, so the cost per run is a number you watch, not a surprise.
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Live activity feed
A running log of what each agent did, which tools it called, and what it retrieved.
Decomposed task into 4 sub-goals
Grounded knowledge
Agents answer from your docs, codebase, and conversations, not from guesses.
Namespaces
Retrieval Log
vector embeddings auth module
Claude tool-use schema
Q3 roadmap — agent features
deployment discussion #eng
Tool-call inspector
Every tool call tracked for latency and success, across all of your agents.
How it works
From first call to live, in four steps.
Find the workflow
We pick the repetitive, high volume task where an agent pays for itself the fastest.
Design the guardrails
Tools, prompts, and escalation paths are defined before the agent ever touches real data.
Build and evaluate
We build the agent and score it against real cases until it is genuinely reliable.
Deploy and monitor
Live in your stack with logging, evals, and a human in the loop where it actually matters.
Integrations
Connect agents to the tools you already use
Agents reach into the apps your work already lives in, from your inbox and calendar to your CRM and knowledge base. Hover a tool to trace the connection.
Software that does the work instead of waiting for someone to do it. Agents that qualify leads at 2am, answer the same support question for the thousandth time, and move data between the tools that refuse to talk to each other.
Customer support agents trained on your knowledge base
Lead qualification and enrichment pipelines
Workflow automation across your existing stack
Document and data processing at volume
Guardrails, evaluation, and human-in-the-loop escalation
FAQ
Questions, answered.
It handles the repetitive work: qualifying leads, answering the same support questions, and moving data between tools that do not talk to each other.