AI Research
AI agents at scale
We build production-grade AI agentic systems that research at scale—parsing millions of documents, synthesizing findings, and delivering actionable intelligence in hours, not weeks. Our systems combine frontier language models with proprietary retrieval architectures to maintain coherent, multi-turn research across vast knowledge bases.
What we build
Concrete systems, not concepts.
Competitive Intelligence
Monitor thousands of sources automatically, surface threats and opportunities before they hit mainstream.
Due Diligence
Automated document review across regulatory filings, contracts, and news for comprehensive due diligence.
Scientific Literature Review
Synthesize state-of-the-art research across millions of papers with verifiable citations.
The challenge
- Information overload across fragmented sources
- Slow manual research processes taking weeks
- Inability to scale human analyst capacity
- Inconsistent quality across research outputs
What we deliver
- Multi-agent research pipelines with autonomous planning
- Deep document understanding with RAG at scale
- Real-time synthesis with source chain-of-thought
- Custom knowledge graphs for domain-specific reasoning
- Evaluation frameworks for research quality assurance
Technologies
Real example
Real-Time Market Intelligence for a $2B Quant Fund
The fund's analysts were manually monitoring 80 companies—missing critical signals and burning out. Competitive pressure demanded full sector coverage with sub-hour alert latency.
"We now have full sector visibility. The ROI on this system paid back in the first two earnings seasons."
— Head of Quantitative Research, Confidential — Tier 1 Quant Fund
Build in AI Research
Talk to our team about your specific use case. We'll scope the project and give you a realistic timeline.