Research
Bridging the gap between research and reality.
Frontier research directly informs the production systems we ship. We read the papers, prototype the approach, and benchmark it on your data — so the latest methods actually reach your product.
Active Research Areas
What we're working on
Computer Vision
- Real-time pose estimation & on-device deployment
- Sports biomechanics analysis from video
- Medical imaging — X-ray, MRI interpretation assistance
- Object detection for manufacturing quality control
Language & Reasoning
- Domain-adaptive RAG for low-resource domains
- Citation-grounded decoding for hallucination-free AI
- Multi-step reasoning in agentic workflows
- Clinical NLP and medical document understanding
Efficient AI
- Model quantization — INT8/INT4 with minimal accuracy loss
- Knowledge distillation for edge deployment
- On-device inference optimization (CoreML, TFLite, ONNX)
- Neural architecture search for resource-constrained hardware
Embodied AI
- Voice AI agents for real-world task execution
- Multimodal perception for physical therapy robotics
- Sensor fusion for human movement understanding
- Feedback-loop systems for interactive coaching
Our Approach
How we turn research into product
We're an early-stage team — so instead of publishing papers, we put frontier research to work in the systems we ship. We read the literature, prototype the approach, and benchmark it against your real data.
Read & track the frontier
We stay current with the latest models and methods across CV, speech, LLMs, and efficient AI — and pick what actually fits the problem.
Prototype fast
We reproduce the promising approach on your data quickly, validating feasibility before committing to a full build.
Benchmark honestly
Accuracy, latency, and cost on real samples — we measure against your constraints, not a leaderboard.
Ship to production
Quantization, edge deployment, and guardrails are built in from day one, so the research result survives contact with reality.