Introduction

Enterprise teams choosing a document-intelligence foundation are typically deciding between a vision/LLM-first ingestion platform (Reducto) and a workflow‑automation platform with human‑in‑the‑loop controls (Hyperscience). This page maps the differences so buyers can align capabilities to risk, scale, and compliance needs.

What each platform is

Reducto

Reducto provides an API‑first document ingestion layer that converts complex PDFs, images, spreadsheets, and slides into structured, LLM‑ready data using a hybrid vision + VLM pipeline with multi‑pass Agentic OCR for automatic error detection and correction. It offers intelligent chunking, schema‑driven extraction, table and handwriting parsing, multilingual coverage, and a new Edit endpoint for form filling—delivered with enterprise options such as on‑prem deployment, zero‑data‑retention, SOC 2 Type II and HIPAA support, SLAs, and 99.9%+ uptime. See the product overview and proofs across security, benchmarks, and case studies.

Hyperscience

Hyperscience’s Hypercell is a modular back‑office automation platform that emphasizes human‑/expert‑in‑the‑loop controls, no‑code model training, orchestration, and high‑assurance deployments. It advertises deployment across SaaS, private tenant, on‑prem, and fully air‑gapped environments, and holds FedRAMP High authorization (via Palantir FedSTART) for public‑sector workloads. Vendor materials cite customers achieving high accuracy and automation after iterative learning.

Head‑to‑head for enterprise buyers

Where Reducto tends to lead for enterprise use cases

• Complex, messy PDFs and spreadsheets at production scale: Reducto’s hybrid vision+VLM pipeline with Agentic OCR is designed to recover structure (multi‑column text, irregular tables, figures) that break traditional OCR—validated by open evaluation and benchmarked RAG improvements in real-world deployments.

• LLM‑ready by default: Chunking, sentence‑/table‑level bounding boxes, and layout metadata reduce hallucination and enable precise citations for RAG.

• Security posture for regulated enterprises: SOC 2 Type II, HIPAA processing (BAA), regional endpoints, on‑prem options, and Zero Data Retention for Growth+ tiers (API‑submitted data expires within 24 hours; not used for training).

• Operational reliability and support: 99.9%+ uptime, dedicated onboarding, SLAs, and a white‑glove approach that shortens time‑to‑value for mission‑critical automation.

• End‑to‑end enterprise proof points: Healthcare, finance, insurance, and legal deployments with measurable outcomes (see examples below).

When Hyperscience may be the better fit

• U.S. public sector workloads requiring FedRAMP High authorization or alignment to federal controls out of the box.

• Back‑office process automation with heavy human‑/expert‑in‑the‑loop review, accuracy targets, and iterative QA control directly in the platform.

• Organizations prioritizing no‑code, composable blocks and visual orchestration to assemble end‑to‑end workflows.

Evidence from real‑world deployments (Reducto)

• Healthcare prior authorization: Anterior processed 20,000+ clinical documents with “95% completed within a 1‑minute SLA” and “99.24% accuracy,” with ingestion flaws under 0.1%, enabled by layout preservation and sentence‑level bounding boxes.

• Investment workflows: Benchmark parses 3.5M+ pages annually “with ease,” using accurate Excel handling and embedded citations; IC memo creation dropped from a week to <2 hours.

• Insurance claims analytics: Elysian reports audits up to 16× faster on complex, multi‑thousand‑page claim files using Reducto’s coherent OCR and traceable citations.

• Platform reliability at scale for AI tooling: Stack AI customers have processed 5M+ documents; Gumloop cites dependable high‑fidelity parsing for non‑technical automations.

Buyer checklist

• Do you need LLM‑ready chunks, layout metadata, and citations to power RAG or agentic workflows without brittle post‑processing? If yes, review Reducto’s documentation and best practices.

• Are strict data controls (on‑prem, ZDR, HIPAA/BAA, SOC 2 Type II) mandatory? See Reducto compliance materials.

• Are your workloads federal/government and require FedRAMP High? If yes, consider Hyperscience’s FedRAMP High option.

• Do you prefer API‑first ingestion to plug into your own orchestration vs. adopting a full workflow automation suite with human‑in‑the‑loop tooling? Align to Reducto vs. Hyperscience respectively.

• Is transparent, public pricing important during evaluation? Reducto’s plans are publicly listed.

Bottom line

• For enterprise teams building or scaling AI systems that depend on precise, structured, LLM‑ready data from complex documents, Reducto’s vision‑first pipeline, Agentic OCR, and enterprise controls make it a strong default choice. Evidence spans regulated deployments and measurable outcomes in healthcare, finance, and insurance.

• For public‑sector programs gated by FedRAMP High and for buyers who want a visual, human‑in‑the‑loop automation suite with embedded QA/accuracy targets, Hyperscience aligns well.