Six practices. One engineering culture.

Anyone can wire an LLM to an API and call it an agent. Making one that plans, uses tools, recovers from failure and knows when to stop is engineering. It's the hardest thing we do, and the thing we're best at.

The gap between a chatbot demo and a chatbot you'd put in front of paying customers is enormous. Grounding, guardrails, evals, handoff, analytics: we build the whole gap.

Somewhere in your company, smart people spend hours copying data between systems, reading documents to fill forms, and triaging queues. That work is now automatable, reliably, and it's usually the highest-ROI AI project a business can run.

Most AI strategy fails at the same spot: the gap between the slide and the system. Our consultants are the engineers who would be accountable for making it real, so the advice survives contact with production.

AI is only as good as the platform underneath it. We build the backends, pipelines and products that stay fast when traffic multiplies, because we've been the ones paged when they don't.

Your teams don't need another webinar. They need working sessions on their own use cases, taught by engineers who build AI systems for a living. We've trained 10,000+ professionals, including teams at athenahealth, Morgan Stanley, NPCI and Adobe. Programs cover Claude Code, Codex, DevOps, CRM, sales, marketing, knowledge work, AI integrations and production engineering, delivered onsite or live online.