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Falcon

Sanoki provides AI agents that detect medical cost errors across contracting, authorizations, and billing before claims become payments. The platform reviews every case end to end, returning findings with the rule applied and evidence cited, and learns from reviewer verdicts to improve future assessments. In deployment, Sanoki has identified findings in 60% of reviewed bills, with 40% of those never spotted in manual review.

HQ unknown
Founded 2025210+ followers
  • Artificial Intelligence
  • AI Agents
  • Financial Technology
  • Healthcare Technology
  • Software Only
Updated yesterday

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Medical billing errors and improper costs frequently pass through payer and provider operations undetected, leading to significant financial waste. Manual review of complex claims is slow and often skipped for lower-value accounts, allowing errors to become payments before they are caught.

Solution

Sanoki deploys AI agents that evaluate activity across contracting, authorizations, and medical bills, investigating each case from start to finish. The platform ingests documents, databases, regulations, and client-specific rules as-is, then structures each record with its context to run traceable workflows. Agents read entire bills against clinical records, guidelines, and contracts, returning findings with the rule applied and evidence cited for reviewer validation. Reviewer verdicts are written back into the model, so the system continuously learns and improves on subsequent cases, delivering 10x faster reviews than manual processes.

Target Audience

Primary customers are health insurance payers, clinical review teams, and hospital providers who need to reduce improper medical spending and validate billing accuracy at scale.

Features

  • AI agents that connect to structured and unstructured data sources including bills, clinical records, guidelines, regulations, and client rules
  • End-to-end case review that traces each finding back to the rule and evidence behind it
  • Continuous learning from reviewer verdicts, improving accuracy on every subsequent case
  • Parallel bill processing that scales review capacity based on confirmed findings
  • Contract intelligence and rate benchmarking capabilities for pricing and network analysis
  • Complete coverage across contracting, authorization, and billing workflows for both payers and providers
This profile is AI-generated and may contain inaccuracies.