We design the harness around the models: roles, memory, tools, evaluation, and human checkpoints so multi-agent systems can run real projects without going off the rails.

Prompting is not a product. We design retrieval, tool use, structured output, and evaluation so large language models behave like reliable production software.

We stand up a practical agent assistant for a real office: scheduling, mail, notes, files, and follow-ups. That includes buying and arranging hardware, creating accounts, installing on-site, and — when the work cannot leave the building — local LLMs that run offline with no data sent to the public internet.

We build research agents that can sit with a question for hours or weeks: gather sources, compare claims, keep a trail, and write a brief a human can defend. Built for labs, studios, legal-adjacent review, and anyone whose job is to know before they decide.

We customize how an LLM behaves: tone, judgment, refusal lines, and the writing it produces. Then we give it skills — procedures, tools, and environment-specific tasks — so it can actually do the job in your stack, not a generic demo.

We build image generation systems for production: character and environment consistency, art direction, and review — the same discipline used in film and games, applied to generative models.

We generate and clean 3D assets for games, XR, and visualization — topology, scale, materials, and export that a technical artist would actually accept.

We design video generation workflows for narrative, product, and spatial work — shot language, continuity, and editorial control instead of one-shot clips.

We build real-time and spatial experiences — AR, VR, XR, and interactive visualization — with the technical art and engineering needed to run on device, not just in a deck.

We build web applications that operate AI systems: consoles, review tools, production dashboards, and client-facing products with clear information architecture.

We build language systems for legal work: drafting from your own templates and clause library, redline review against a playbook, obligation and deadline extraction, and matter research with citations — on local models when privilege means the document cannot travel.

We install language systems for medical and dental offices: intake and form population, visit-note drafting, referral and prior-authorization letters, and chart search — running on local models so protected health information stays inside the building.

We build research systems for labs and R&D teams: a durable map of the topics you work on, source-backed reading across the literature, notes tied to real experiments, and cross-links that surface where two unrelated lines of work are pointing at the same mechanism.

We build math-capable systems that route each step to the right instrument: symbolic algebra and numerical solvers for the computation, proof checkers for verification, and the language model for reading, explaining, and connecting results across a long program of work.