Phase 1 success rate for AI-discovered molecules vs 40–65% traditional pipelines.
Prior-auth letter drafting with LLMs — down from 30–60 minutes of clinician + staff time.
Of first-time claim denials are preventable with pre-submission ML classifiers.
Achieve immediate, organization-wide results
Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.
Ambient Clinical Documentation
LLMs draft notes from the conversation in the exam room. Clinicians get hours back per day; coders get cleaner structured data.
Prior Authorization Automation
Auth letters drafted in under 5 minutes vs 30–60. Approval rates up 5–15% with payer-policy-aware drafting.
Medical Imaging Triage
FDA-cleared radiology AI for stroke CT, chest X-ray, ECG arrhythmia, and fundus. Plug into your PACS to prioritize the worklist and surface critical findings minutes faster.
Claims Denial Prevention
Pre-submission classifiers catch the 85% of denials that are preventable — before the claim leaves your billing system.
AI-Native Drug Discovery
Target ID through clinical candidate in 18 months at six-figure outlay — not 5–6 years and tens of millions.
Pharma R&D Research AI
RAG-grounded research-AI over PubMed + ClinicalTrials.gov + your private R&D corpus. Custom alternative to Elicit / Consensus / Scite for IP-sensitive pharma and biotech R&D.
Capabilities across the healthcare & life sciences value chain
Clinical Decision Support & Ambient Care
- Ambient clinical documentation with EHR write-back
- Patient flow, ED throughput, and discharge-prediction modeling
- Imaging triage (stroke CT, fundus, ECG arrhythmia)
- Drug-interaction and dosing recommendation engines
Claims & Revenue Cycle Automation
- Prior-authorization letter drafting per payer policy
- Denial-prevention classifiers at the claim level
- Code-assignment and chart-audit LLMs
- Patient financial-clearance and assistance routing
Drug Discovery & Trial Acceleration
- Target identification and validation with multi-omics
- Generative chemistry for lead optimization
- Toxicity and ADMET prediction
- Trial-site feasibility and cohort enrichment
Population Health & Payer Intelligence
- Risk-stratification and high-cost-claimant prediction
- Care-gap detection and outreach prioritization
- HCC coding and risk-adjustment audit
- Fraud, waste, and abuse detection in claims data
How a regional health system cut prior-auth time 60% and recovered $1.8M annually
A 6-hospital regional system was processing 4,800 prior authorizations per month, with each one consuming 35–45 minutes of clinician + staff time. We built a prior-auth letter-drafting LLM trained on their approved-letter corpus plus payer-specific policy ingestion. Auth letters now take 6–8 minutes end-to-end with clinician review, denial rates dropped from 22% to 14%, and annual recovered staff time hit $1.8M. The same data pipeline now powers downstream denial-prevention classifiers that catch incomplete submissions before they leave the EHR.
Speak with a healthcare AI expert
A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.
Ask us about
- Ambient clinical documentation with EHR integration
- Prior-authorization automation per payer policy
- Medical imaging triage and PACS integration
- Drug-discovery, trial-feasibility, and pharma R&D research-AI
- HCC coding audit and risk-adjustment optimization
- HIPAA-grade ML platform deployment in your environment
Frequently asked questions
How do you handle HIPAA and PHI in training data?
Explore AI/ML solutions for healthcare & life sciences
Ready to talk healthcare AI?
Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.