Most AI Projects Fail. Ours Don't.
Industry research shows that AI initiatives frequently underdeliver—not because the technology doesn't work, but because deployments lack systematic validation, scientific rigor, and production-grade engineering. BioInfo AI solves this with a multi-stage development and testing framework.
The Validated Agent Development Framework
A systematic approach that ensures every agent we deploy is ready for production.
Requirements Engineering
We begin with structured discovery to ensure complete specification before any development starts. Ambiguity is the enemy of reliable AI.
Research & Context Gathering
Automated aggregation of documentation, best practices, and dependency validation ensures our solutions are built on current, accurate foundations.
Architecture Design
Security-first, scalability-focused system structure. We design for enterprise deployment from day one—not as an afterthought.
Progressive Development with Continuous Testing
Each component is validated before proceeding. We catch errors early, when they're cheap to fix.
Comprehensive End-to-End Validation
We target 95%+ test coverage and validate against real-world scenarios, not just happy paths.
Scientific Review Gate
Our CSO reviews every deployment for scientific validity. This is where the 49% rejection rate happens—and why our production agents achieve sub-1% error rates.
The Numbers Behind the Methodology
In December 2025, we produced 76 agentic implementations totaling 214,000 lines of code. Only 37 passed our scientific validation gates—a 49% rejection rate.
This isn't inefficiency. It's quality control.
Every rejected agent taught us something. Every approved agent earned its place in production. The result: systems that perform reliably at scale, with error rates that enterprise healthcare demands.
Addressing the Hard Questions
Questions we hear from enterprise buyers—and our honest answers.
"How can you compete so effectively on cost?"
We've invested heavily in AI-augmented development tooling that multiplies our productivity without sacrificing quality. We're Anthropic Certified at the Advanced level and use Claude Code to achieve development velocity that traditional consultancies can't match.
"How do we know your agents actually perform?"
Every agent ships with defined performance metrics. We establish targets during requirements (e.g., 'Agent correctly annotates 85% of samples') and validate against those targets before deployment. Post-deployment, we measure ROI, scalability, and target metric achievement.
"Do your agents scale?"
Yes. We architect for enterprise scale from the start—not as a later optimization. Our clinical intelligence platforms are designed to serve thousands of physicians simultaneously.
See the Methodology in Action
Our biomarker discovery case study shows how the Validated Agent Development Framework delivered 9 validated targets in 30 days.