Company Performance Metrics
Ambharii Labs builds production-grade agentic AI platforms for regulated industries — healthcare, energy, and financial services. Flagship Platform: ARIA RCM (Agentic Revenue Intelligence Architecture) 11 autonomous AI agents running the full healthcare revenue cycle workflow end-to-end. Not a copilot. Not a dashboard. Agents that perceive, plan,
execute, and self-correct across eligibility verification, prior authorization, charge capture, claims submission, denial prediction, payment posting, appeal generation, and revenue leakage detection. Proprietary innovations: — G-ARVIS: 6-dimension real-time AI observability framework (Groundedness, Accuracy, Reliability, Variance, Inference Cost, Safety). Live composite: 93.9%. — ARGUS: Autonomous self-correction engine. 87.3% error recovery rate. Open-core SDK: pip install argus-ai. — PHI Tokenization Pipeline: Architecture-level HIPAA enforcement. Production Safety score: 100%. Patent pending. — Three novel agentic metrics: Action Sequence Fidelity (91.4%), Error Recovery Rate (87.3%), Cost Per Correct Sequence ($0.023/claim). Live production results: 38% denial rate reduction. Sub-24 hour multi-tenant deployment. $0.023 cost per correct claim sequence. Additional platforms:
GenomixIQ - First agentic AI platform purpose-built for clinical genomics. 12 autonomous agents classifying genetic variants in 8 seconds with zero hallucinations enforced at the architecture level via the G-ARVIS Safety Gate. FHIR R4 native. Epic and Cerner ready. Covers hereditary cancer (BRCA1/2, Lynch, 80+ genes), pharmacogenomics (300+ CPIC pairs), somatic oncology (TMB, MSI-H, OncoKB), rare disease, and drug discovery. G-ARVIS composite: 0.937. API live at api.genomixiq.com/docs.
AI Aether - Enterprise AI readiness and capability assessment SaaS platform. Five-dimension scoring across data, model governance, talent, infrastructure, and strategy.