Talking Agents

    AI Engineering
    & Agent Infrastructure

    We help companies move from ad-hoc AI adoption to production-grade agent infrastructure — coordination layers, ML pipelines, and the engineering to make it all work in your environment.

    What We Do

    From Agent Chaos
    to Agent Infrastructure

    Engineering and consulting for teams that use AI agents seriously.

    01

    Agent Infrastructure

    Deploy AgentPlanner as your coordination backbone. Connect your agents to shared plans, dependencies, and a persistent knowledge graph.

    02

    AI Engineering & MLOps

    Custom AI agents, predictive models, recommendation systems, and data pipelines — from proof of concept through production deployment and monitoring.

    03

    Advisory & Architecture

    Evaluate where agents add value and where they create risk. Architecture design, integration planning, and honest scoping.

    04

    Training & Enablement

    Hands-on training so your team can build and operate AI agent systems independently. Tools, patterns, and operational practices.

    How We Work

    Embedded With Your Team

    Forward deployed engineering — we embed with your team, ship working infrastructure, and transfer ownership.

    1

    Discover

    Understand how your team uses AI agents today — where context lives, where it gets lost

    2

    Embed

    Our engineers join your team, on-site or remote

    3

    Build

    Deploy agent infrastructure and encode your workflows

    4

    Transfer

    Hand over a running system your team owns completely

    Selected Work

    What We've Built

    Recent projects across ML and AI agent engineering.

    Predictive Maintenance

    ML

    Built predictive maintenance models for an industrial company. Sensor data pipelines, anomaly detection, and failure prediction deployed to production.

    Recommendation Systems

    ML

    Designed and deployed recommendation systems for a gaming company. Real-time personalization improving player engagement and retention.

    Agent Development

    SaaS

    Developed custom AI agents for a SaaS company's internal operations. Automated QA, code review, and operational workflows using Claude and MCP.

    AI Strategy

    Enterprise

    Consulting engagement with a software provider on integrating AI agents into their product. Use case evaluation, architecture design, and implementation roadmap.

    Let's Talk

    Book a call to discuss your agent infrastructure needs. We'll give you an honest assessment of where we can help.