Custom LLM Features
Chatbots, copilots, semantic search, and content generation wired directly into your product.
LLM features, agents, retrieval systems, and ML — built with evaluation harnesses, latency budgets, and cost guardrails from day one. Not demos.
Notebooks, hallucinating pipelines, and prompt hacks duct-taped together. We engineer for reliability before the first line of model code is written.
Every feature ships with an eval harness. Success metrics are defined up front, then iterated against — not against vibes. Retrieval is benchmarked, not hoped.
Prompt version control, drift monitoring, and A/B rollout built in. Your AI gets measurably smarter in production — and we stay on until the metrics prove it.
Chatbots, copilots, semantic search, and content generation wired directly into your product.
Autonomous, tool-using agents that execute multi-step workflows and automate operations end to end.
Retrieval pipelines and vector search that ground models in your private data — no hallucinations.
Custom predictive, recommendation, forecasting, and computer-vision models trained on your data.
Drop intelligence into the tools you already run — APIs, CRMs, support desks, and internal apps.
Eval harnesses, monitoring, drift detection, and CI/CD so your AI stays reliable in production.
We map the problem, your data, and success metrics before touching a model.
A working proof-of-concept in weeks, tested against real inputs — not slideware.
Every output measured against an eval harness: accuracy, latency, and cost.
Hardened, integrated, and deployed into your production stack with guardrails.
Drift detection and continuous evals keep it improving long after launch.
From a discovery call to a fully deployed intelligent product — we move fast and build things that last.