We build AI-powered products and internal tools on modern large language models — the useful kind that solve a real problem, not a demo that never leaves the lab.
Everyone wants AI in their product. The hard part is building something genuinely useful and reliable instead of an impressive demo that falls apart in production. We build practical, AI-powered applications and tools on modern large language models (LLMs) — designed around a real workflow and shipped to real users.
Practical AI is more than an API call. We handle the parts that make it reliable: grounding answers in your data, guarding against hallucination, sensible fallbacks when the model is wrong, cost control, and evaluation so you know it actually works. We pick the model that fits the job rather than chasing hype.
AI shines at language-shaped work: summarizing, extracting, classifying, drafting, and conversing over natural language. It's the wrong tool for tasks that need exactness and auditability. Part of our job is telling you which is which — so you spend on AI where it pays off and skip it where it doesn't.
Founders building an AI-first product, and businesses that want to fold AI into an existing product or internal process without betting the company on a black box.
Which AI models do you use?
We choose the model per task — the latest Claude, GPT, and open models all have strengths. We optimize for reliability and cost, not hype.
How much does an AI app cost to build and run?
Build cost depends on scope like any software; running cost adds per-use model API fees. We design for cost control and give you a realistic estimate of both.
Tell us what you're trying to build and we'll give you an honest, jargon-free scope and estimate. No obligation.