We build autonomous agents that take multi-step actions across your tools - drafting, approving, monitoring, and booking. Think of them as a junior teammate for the tasks your team doesn't have time for, with guardrails, logs, and a human in the loop when it matters. Built with LangGraph, Temporal, and the Anthropic and OpenAI SDKs.
From conversational assistants to domain-specific copilots, we design and ship products where a large language model is the core experience. Claude, GPT, Gemini, or open models, we pick the model that fits your accuracy, latency, and cost budget, then wrap it in an interface users actually want to use.
Retrieval-Augmented Generation lets a language model answer questions using your private documents, databases, or product catalog, without retraining or leaking your data. We handle embedding, chunking, vector storage, and the evaluation layer that keeps responses grounded and up to date.
through an evaluation pipeline, including accuracy, bias, jailbreak resistance, and cost, before launch and on every update. Our Responsible AI work with Equality AI, a fairness framework for healthcare ML, won the 2024 Webby in the Responsible AI category.