R&D
The Lab
Research that ships to production.
Our R&D pipeline focuses on making multi-agent AI systems reliable enough for enterprise use. Every technique we develop is tested against real workloads and deployed to production.
ACTIVE RESEARCH
What We're Building
Anti-Hallucination Pipeline
65+ verification components in production. Entropy production rate analysis, constitutional self-critique, claim-level retrieval loops, semantic entropy clustering, and 5-judge heterogeneous evaluation.
Autonomous Agent Workflows
Self-orchestrating teams of specialized agents that decompose tasks, delegate to domain experts, verify intermediate results, and synthesize outputs — with human oversight at decision boundaries.
Vision-Augmented Intelligence
Domain-specific image analysis that converts visual inputs to structured data before agent activation. Medical imaging, product photography, document extraction — each with purpose-built prompting.
Resilient Model Infrastructure
Weighted round-robin load balancing with progressive circuit breakers across multiple AI deployments. Automatic failover, graceful degradation, and real-time deployment health metrics.
OUR APPROACH
Research to Production
Hypothesis
We identify limitations in current AI systems — hallucination patterns, reliability gaps, orchestration failures — and design targeted countermeasures.
Validation
Every technique is benchmarked against real client workloads. 7,800+ automated tests ensure nothing breaks when we ship. No theoretical research — only practical results.
Deployment
Validated techniques go live in our production pipeline. Every client project benefits from the latest research. Continuous improvement, zero downtime.
Interested in our research?
Go to Contact and chat with Vito, our AI VP — for free. See what an AI agent team can do for your business in 48 hours, not 3 months.
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