Post-training lab engineered for real world healthcare, specializing in medical-device use cases where precision truly matters.
Foundation models ace medical licensing exams but miss critical diagnoses in practice. Current benchmarks reward memorization over clinical reasoning, creating a false sense of readiness that collapses in real-world deployment.
"We don't just annotate data or run benchmarks. We architect the entire post-training stack that makes AI clinically viable."
/ ABOUT US
Empowering ASI with Trusted Research Excellence
We build what's missing: proper evaluation frameworks and the post-training infrastructure to act on them. Our team's published breakthroughs in 3D medical imaging and multimodal AI give us the technical depth to design specialized benchmarks and make models truly learn from them.
50+ Clinical Domain Experts
6M+ Proprietary Medical Datasets
Proven Collaboration with Global Institutions
Open Positions
Medical Data Curation Platform for Post Training
/ 02
We analyze your data landscape and curate high-quality training sets optimized for your task .Comprehensive data assessment and preparation tailored to your specific use case requirements and business objectives.
Clinician Verified Datasets
Specialized Benchmarks
Key Capabilities:
6M+ proprietary medical datasets that capture clinical edge cases.
Expert annotation by practicing physicians across oncology, radiology, pathology, and nuclear medicine.
Fast turnaround on specialized datasets.
On-demand verification of custom models & datasets through our physician network.
Delivery
Available as dataset licensing and custom benchmark development. Scope ranges from one-time evaluations to ongoing model optimization cycles.
Outcome
Achieve clinical-grade performance on real-world tasks. Pass physician scrutiny, handle edge cases reliably, and meet the validation standards required for healthcare deployment.
/ Process
A Proven Path to Scientific Results
We don't follow cookie-cutter timelines. Every engagement adapts to your technical requirements and deployment constraints—but the core methodology remains rigorous.
/ 01
Discovery & Scoping
We figure out what you're actually trying to solve. —the real problem. What's failing, what constraints you're working with, and what "success" means beyond sounding good in a deck.
/ 02
Proposal & Planning
You get a plan with honest timelines and deliverables we can actually hit. For larger projects, we start with a quick validation test on a small dataset—proof of concept before full commitment.
/ 03
Testing, Analysis & Iteration
The messy middle where the work happens. We build, test, break things, fix them, and loop in experts who tell us when we're wrong. Progress over perfection, but both eventually.
/ 04
Deployment (and possibly more iteration)
You get what we agreed on: datasets that work, benchmarks that matter, or models ready to deploy. Plus documentation written for humans and support when reality inevitably differs from the plan.
/ CASE studies
Where Technical Rigor Meets Clinical Impact
AI labs improving model performance. Healthcare organizations deploying custom solutions. Real projects, measurable outcomes, physician-validated results.
Support From
Angels From
/ Publications
