AI Agents & Voice Agents

We build custom AI agents directly on the model providers’ SDKs and APIs — engineered software, not an off-the-shelf wrapper. Agents that answer phones, work calendars, update CRMs, and answer from your own documents.

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What We Build

Voice Agents

AI agents that answer the phone, hold a natural conversation, capture the caller and the reason they called, and hand off to a human when it matters.

Tool-Using Agents

Agents wired into calendars, CRMs, and internal systems — they don't just chat, they book the appointment, update the record, and act.

RAG & Knowledge Agents

Retrieval-augmented agents that answer from your documents and data — grounded in your sources, not the model's imagination.

MCP & API Integration

Model Context Protocol servers and direct API integrations that connect agents to the tools your business already runs on.

How It Works

Evaluate

An initial conversation — a straightforward look at your problem and whether an agent actually fits it.

Design

Pick the model and stack for the job, define the tools the agent may use — and the lines it may never cross.

Build

Develop against agent SDKs and direct APIs, with guardrails and evaluation on real scenarios before anything touches a customer.

Run

Deploy to production with monitoring and transcripts you can review — then iterate on what the agent actually encounters.

Built and Running

Case Study

Voice-Agent Platform

A complete voice-AI platform built end to end: a Ruby on Rails application with LLM integration, Stripe billing, Twilio telephony, and OAuth, running real-time voice on a LiveKit stack with Grok Voice, Deepgram, and ElevenLabs. Not a demo — a working platform for building and running phone-answering agents.

Case Study

Hermes Agent

A custom agent with xAI integration and Microsoft Teams connectivity — an AI assistant that lives where the team already works, instead of one more tab nobody opens.

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Reach out and tell us what you're working on. You'll get a straight answer on whether an agent fits your problem — no pitch, no obligation.

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