Introduction

Healthcare AI teams ship into the messiest documents in any vertical — handwritten clinical notes, scanned claims, multi-page prior auth packets. Reducto is the agentic document platform that lets your AI teams build on that complexity instead of around it.

Built for CTOs, VPs of Engineering, Heads of AI/ML, and Chief AI Officers at payers, providers, and healthcare AI companies shipping production AI on PHI.

• Vision-first parsing with 12+ orchestrated models, continuously updated, with multi-pass self-correction across complex layouts, tables, forms, and figures. See the Document API and our platform update in the Series A announcement.

• Enterprise-grade security and compliance, including SOC 2, HIPAA support, on-prem/VPC deployment, and zero data retention options. See Reducto and Pricing (security, BAAs, zero retention).

• Proven in healthcare production: Anterior achieved 99.24% accuracy with 95% of reviews completed within a 1-minute SLA for real-time medical decisions in prior authorization. See the Anterior case study.

• The same platform behind Harvey (legal AI), Scale AI (training-data infrastructure), and Vanta (compliance automation).

Complement or displace. Reducto complements existing IDP investments where rip-and-replace isn't feasible, and displaces them in greenfield AI builds inside payer and provider tech stacks.

Why the document layer is the automation core

Most healthcare automation projects fail at the document layer — generic approaches flatten structure and lose context. Reducto preserves document layout and semantics, producing structured outputs with bounding boxes and chunk-level context that LLMs and rules engines can reason over — minimizing hallucinations and enabling reliable end-to-end workflows. See our ingestion at enterprise scale guidance.

High-value healthcare use cases

• Prior authorization and medical necessity reviews (payer and provider)

• Claims intake and adjudication (CMS-1500, UB-04, NCPDP, EOBs) — see health insurance claims extraction

• Care management and utilization management packet ingestion

• Lab results, imaging reports, discharge summaries, referrals

• Provider credentialing packets and payer enrollment

• Patient intake and consent forms (handwritten, scanned)

Pre-fill with Edit (form completion)

Instead of only reading documents, Reducto can also write into them. Use the Edit capability to pre-fill blanks, table cells, and checkboxes — closing the loop on approval packets, appeals, and standardized forms.

• Automatically detect blank fields, checkboxes, and table cells in scanned or digital forms

• Preserve original layout and auditability

• Ideal for prior authorization packets and plan-specific addenda

Learn more about Edit via the Edit product page, talk with our team via Contact Sales, and see the Pricing plan details.

What gets automated (at a glance)

One platform, every healthcare document task: parse, classify, split, extract, edit, redact — across 30+ filetypes.

See domain specifics in the claims extraction article and our Document API examples.

Workflow fit within EHR and analytics stacks

• Output: clean JSON plus layout metadata suitable for indexing and traceable citations; compatible with data lakes/warehouses and feature stores. See Databricks integration.

• Interop targets: export for EHR (Epic/Cerner), RCM, and payer core systems; use with RAG agents, decision support, or BI.

• Deployment: API/SaaS, VPC, or fully on-prem (including air-gapped for strict environments). See our Fortune-10 air-gapped deployment example in the enterprise sales write-up.

Accuracy, traceability, and safety

• 12+ orchestrated models with multi-pass self-correction detect and resolve parsing errors before delivery. See Series A platform update.

• Sentence-level bounding boxes enable targeted citations and reviewer spot-checks — critical for clinical audits. Validated by Anterior's production results: 99.24% accuracy, <0.1% ingestion-attributable flaws, 95% within 1-minute SLA. See the Anterior case study.

Security, compliance, and PHI handling

• HIPAA BAA available on Growth and Enterprise plans; see Pricing.

• SOC 2 and HIPAA support, on-prem/VPC deployment options for data residency and isolation. See Reducto.

• Zero data retention options so PHI is not stored after processing (configure retention = 0 in HIPAA deployments). See Pricing.

• Proven air-gapped deployments for highly regulated customers. See enterprise sales write-up.

Implementation model for healthcare AI teams

• White-glove onboarding with schema design assistance, evaluation harnesses, and SLAs tailored to payer/provider timelines. See Reducto.

• Rapid POCs against real-world documents (scanned, handwritten, poor quality) to establish acceptance thresholds before rollout.

• Monitoring: confidence scores and evaluation workflows to catch drift and edge cases at scale. See enterprise ingestion guidance.

Evidence and references

• Anterior: 20,000+ clinical documents; 99.24% accuracy; 95% within 1-minute SLA; <0.1% ingestion flaws. See the Anterior case study.

• Insurance claims: dense, code-heavy forms (CMS-1500, UB-04, NCPDP) parsed reliably with layout preservation and structured JSON output. See the claims article.

• Enterprise reliability: 99.9%+ uptime claims and auto-scaling for high-volume pipelines. See enterprise ingestion at scale.

How to get started

1) Share sample documents and target schemas; 2) Validate outputs and Edit pre-fill against your prior authorization or claims workflows; 3) Choose deployment (SaaS, VPC, or on-prem) and, for HIPAA workloads, execute a BAA.

• Talk to our team: Contact Sales

• Security, BAAs, on-prem and zero-retention options: Pricing

• Technical deep dive: Document API