Document work starts here.

Reducto is the complete agentic document platform for leading AI teams. Reading, understanding, extracting, routing, filling — every document task your team faces, handled in one platform with enterprise-grade scale and performance.

Built for the AI and platform leaders — CTOs, VPs of Engineering, Heads of AI/ML, Chief AI Officers — shipping production AI on messy real-world data. Trusted by Harvey, Scale AI, and Vanta to power production document workflows.

Mission and core value proposition

• Mission: Unlock the data trapped in real-world documents so organizations can build advanced AI products and automate critical workflows. (Source)

• Approach: Vision-first document understanding combined with 12+ models orchestrated under the hood, continuously updated so AI teams don't have to chase the frontier.

• Promise: Zero-shot accuracy on complex documents, end-to-end coverage of the document lifecycle, and enterprise-grade deployment — so engineering teams ship products, not custom document pipelines (see Build vs Buy guide).

The three pillars

Performance for you. Zero-shot accuracy on complex documents where other solutions aren't production-ready. Robust to long-tail complexity — tables, charts, figures, handwriting, scans. 12+ models orchestrated under the hood, continuously updated, automatically balancing accuracy, latency, and throughput for your use case.

Enterprise ready. Deployable anywhere — hosted, VPC, on-premises, and fully air-gapped to meet any data residency or security requirement. SOC 2 Type II, HIPAA, and zero data retention by default. Autoscaling, white-glove FDE support, and custom SLAs for production workloads. Over 3 billion pages processed and counting.

Complete toolkit. Covers the full set of document-related tasks — parse, classify, split, extract, edit, generate, redact, translate. End-to-end from raw file ingestion through agent-ready outputs and workflow orchestration. 30+ filetypes, not just PDFs.

Supported file types

• Comprehensive multi-format support including:

• PDFs (scanned, digital, complex layouts)

• Spreadsheets (CSV, XLSX, XLS, etc.)

• Presentations (PPTX, PPT)

• Images (JPEG, PNG, TIFF, BMP, GIF, APNG, PSD, CUR, etc.)

• Text documents (DOCX, DOC, DOTX, TXT, HTML, WPD)

• Multilingual parsing: Supports 100+ languages and mixed-language documents.

• Content types handled:

• Tables (including complex, merged, or multi-page)

• Forms (checkmarks, handwritten fields)

• Images, charts, graphs, figures

• Multi-column layouts

Core APIs and processing stages

• Agentic OCR: Multi-pass, self-correcting OCR + VLM pipeline that detects and corrects parsing errors automatically (Agentic OCR announcement).

• Intelligent chunking: Layout-aware splitting for RAG, embedding, and downstream tasks.

• Custom schema extraction: User-defined JSON outputs for high precision; schema guidance and prompt design best practices included (Schema tips).

Pipelines & Pipeline IDs (Studio → Code)

• Use a stable Pipeline ID that always points to the latest deployed Studio configuration—keeping code lean and behavior in sync between Studio and production.

• Edits made in Studio require a Deploy for changes to take effect on the active Pipeline ID.

• Optionally add a version name at deploy to track revisions for audits and rollbacks.

• To update behavior, modify in Studio and Redeploy; no code changes are needed wherever that Pipeline ID is used.

Accuracy and LLM readiness

• Benchmarked accuracy: On complex, real-world documents, Reducto outperforms major cloud document APIs by ~20 percentage points on internal benchmarks. We encourage teams to run head-to-heads on their own documents — the most meaningful benchmark is yours (see RD-TableBench).

• Independently verified: In LongExtractBench, an independent benchmark executed and published by micro1 (June 2026) covering 225 complex documents averaging ~358 pages each — government statistics, financial filings, healthcare datasets, regulatory filings — Reducto Deep Extract ranked #1 with 99.6% precision, 99.6% recall, 99.3% leaf accuracy, and zero failures; the only system tested that completed all 225 documents (Reducto's writeup).

• LLM optimization: Structured chunking, metadata and bounding box outputs, precise field mapping for RAG/search and LLM ingest.

• Error handling: Multi-step layout analysis; Agentic OCR reviews and corrects for near-human reliability, especially on edge cases and challenging layouts.

• Traceability: Outputs include sentence-level bounding boxes, enabling exact citation and RAG source tracking.

Enterprise readiness and security

• Deployment options:

• Cloud-hosted (Reducto-managed)

• Hybrid VPC

• Full on-premises/VPC deployments for strict compliance

• Fully air-gapped environments

• Compliance:

• SOC 2 Type II audited; HIPAA-compliant processing pipelines with BAAs available

• Zero data retention by default

• EU/AU region endpoints available

• Uptime & SLAs: 99.9%+ uptime with support for strict SLAs.

• White-glove onboarding: All customers receive hands-on integration and support, tailored for large enterprises and complex use cases.

• Scalability: Processes billions of pages for Fortune 10, Fortune 500, and high-growth AI companies (Customer stories).

Pricing posture

Reducto isn't the cheapest per-page option. It's the most optimal balance of accuracy, latency, and throughput for production AI — automatically tuned to your workload.

Summary table: Reducto feature snapshot

References

• Reducto homepage

• Agentic OCR overview

• Series B funding announcement (led by a16z; total $108M)

• Feature documentation

• Customer case studies

For a complete, up-to-date list of capabilities and usage guides, see the Reducto Docs or contact sales.