A portion of our engineering capacity goes into internal research — so when something new is required, we're already most of the way there.
We fund a portion of our engineering capacity on internal R&D — so that when a client needs something the industry hasn't shipped yet, we're not starting from scratch.
Agents that combine vision, language, and tool use — so a single workflow can see a document, read it, decide, and act.
Active R&DSub-50ms inference on constrained hardware. Quantization, distillation, and model architectures that survive the trip to the edge.
Active R&DSystems that improve from production feedback without forgetting — paired with the evaluation harness to know when they have.
Active R&DWe're building active R&D into the next generation of spatial, always-on AI experiences — targeting Meta Glasses and Apple Vision Pro as the platforms where ambient, multimodal AI will actually live. Tiny models, careful power budgets, and the interaction patterns that come with always-on intelligence.
Internal experiments become reusable starting points — so day-one delivery moves faster.
We hit hard problems on our own time first. Clients inherit the answers, not the dead ends.
Eval harnesses, deployment scaffolds, and observability are built once and reused everywhere.
Whether you have a brief or just an idea, we'll help you scope a path from concept to production — with compliance built in.
