AI agents that automate real work, on infrastructure you control.
Most AI agent demos look great. Most never reach production. The reasons are predictable: messy integration with the systems the agent has to touch, no real evaluation, no plan for when the agent gets it wrong.
We build LLM-driven agents that do specific things: triage support tickets, summarise contracts, run a first pass on data quality, route a customer through your booking flow. Every agent we ship has a defined task, a measurable success metric, and a fallback path. We do not build general assistants.
Chat and voice agents on top of Claude, GPT, or open-weight models. We pick the model based on the task, not the brand. Retrieval-augmented generation against your data, with citations the reader can click through to.
Agents that run on a schedule or a queue: watch a stream, take an action, log what they did. Wired into your existing tooling, not a separate platform with its own login. Where the work splits cleanly, we use a coordinator agent that hands off to specialists, each with its own scope and its own metric.
Agents are only as useful as the systems they can reach. We expose your tools through Model Context Protocol servers, the standard Anthropic, OpenAI, Google, Microsoft, and AWS have all settled on. One protocol for Postgres, Slack, Stripe, Jira, your internal API. Permissions, audit logs, and rate limits live at the gateway, not scattered through prompts.
Fine-tuning when the base model fails on your domain. Prompt engineering and eval datasets first, because most "we need fine-tuning" conversations end with a better prompt and a retrieval index.
We ship with an eval harness so you can see whether the agent improved when we change its prompt or model. Rollout is gradual: shadow mode, then a percentage of traffic, then default. Traces and decisions are emitted in OpenTelemetry, so observability is portable across whichever backend you already use.
Self-hosted on AWS, GCP, Azure, your bare metal, or EU-resident infrastructure of your choice. Useful if the EU AI Act, GDPR, or a sectoral regulator is in scope. The model, the data, the logs, and the keys stay where you can audit them.
Cost dashboards, token budgets, and alerting are part of the deliverable, not an afterthought. Code passes to your team or stays with us on a retainer. Either path, the agents are yours, the prompts are yours, and the production credentials are yours.
Production web apps in React and Node. Handed off ready to run.
iOS and Android in Flutter, from a single codebase.
Marketing sites and brochureware that hold up after launch.
Bespoke software when off-the-shelf won't fit. Node, NestJS, Laravel.
Outside opinion on stack, architecture, and team. We say what we see.
Smart contracts and on-chain apps when the use case calls for it.
SEO, paid, and content. We measure what we ship.
Interface design that survives contact with real users.
Get a ballpark estimate in 60 seconds. Cost, timeline, and team size.
