Circle Bit Labs
Applied AI research engineered for dependable operations
We explore the frontier of intelligent tooling so our clients can operationalize breakthroughs with the same rigor as leading labs like Landing AI, OpenAI Research, and DeepMind Research.
Focus Areas
Research translated into production-grade systems
Research in AI & Academia
We collaborate with academic partners to push applied machine learning, evaluation, and human-AI tooling forward across priority industries.
Solving AI Problems Using AI
We leverage agentic design patterns, synthetic data, and automated experimentation to let AI improve its own workflows with human guidance.
Reliability & Reputability
Every experiment is grounded in rigorous benchmarking, transparent documentation, and deployment criteria that keep trust at the center.
Use Cases
Partnering with teams to solve domain-grade AI challenges
Product Matching
Product intelligence that enhances catalog accuracy and improves search relevance.
Price Checks
Continuous competitive pricing verification using high-recall retrieval pipelines and model governance tuned for compliance teams.
Automation Stack
Agentic systems that shorten the path from insight to action
- Agentic report generation using large language models to translate raw signals into executive insights.
- Automated agent data entry that reconciles systems of record with conversational handoffs.
- Projects focused on structured document capture, including automated bill of lading ingestion.
Publishing & Partnerships
Sharing what we learn to raise the floor for reliable AI
Circle Bit Labs publishes technical briefs, evaluation playbooks, and reproducible assets so our community can validate and extend our work. We believe that open, peer-reviewable findings accelerate trustworthy innovation across the AI ecosystem.