Hyperscience, a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing, today announced that it has been named a Leader in the 2026 Gartner Magic Quadrant for Intelligent Document Processing for the second consecutive year. In addition, Hyperscience was ranked first across three of the four use cases evaluated in the accompanying Gartner Critical Capabilities evaluation, including Transactional document processing workflows, Contextual intelligence workflows, and Specialized document processing workflow.
Hyperscience named a Leader in 2026 Gartner Magic Quadrant for IDP
Second consecutive year as a Leader
Positioned furthest for completeness of vision and highest for ability to execute
Ranked first in three of four Critical Capabilities use cases
Hypercell platform balances accuracy, automation, and cost
Supports FedRAMP High-authorized workloads
"Being named a Leader for the second consecutive year — and ranking first in three of four Critical Capabilities use cases — we believe reinforces what we see every day with our customers: the hardest document problems are no longer just automation problems, they're AI problems," said Andrew Joiner, CEO of Hyperscience. "Organizations need to turn massive amounts of unstructured information into trusted context that people, workflows and AI agents can act on. That's what we built Hypercell to do — applying the right intelligence to each task to deliver the accuracy, automation and economics required for the world's most mission-critical document estates."
The Hyperscience Hypercell is an enterprise AI platform for turning complex, document-driven processes into intelligent, automated workflows. Its modular, composable architecture brings together specialized models, generative AI and VLMs, intelligent inference-layer optimization, model orchestration, human-in-the-loop controls, and ModelOps to dynamically apply the right level of intelligence to each task, balancing accuracy, automation, and cost. Hypercell can process structured and unstructured documents, including complex layouts and handwriting, while integrating with existing enterprise systems through an API-first architecture.
Hypercell is designed for secure, production-scale deployment across SaaS, public and private cloud, on-premises, hybrid, containerized, and air-gapped environments, including FedRAMP High-authorized workloads. Recent enhancements include inference-layer optimization across CPUs, GPUs, and frontier models; expanded model orchestration and VLM capabilities; generative AI model fine-tuning; improved extraction for complex documents and tables; enhanced ModelOps and model lifecycle management; and expanded redaction, masking, governance, and security controls.
Visit the Hyperscience website to download a complimentary copy of the 2026 Gartner Magic Quadrant for Intelligent Document Processing and the companion 2026 Gartner Critical Capabilities for Intelligent Document Processing.
Source: Gartner, Magic Quadrant for Intelligent Document Processing, Shubhangi Vashisth, Stephen Emmott, Tushar Srivastava, Sachin Joshi, Irina Guseva, 8 September 2026
About Hyperscience
Hyperscience is a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing. The Hyperscience Hypercell platform unlocks the value of an organization's unstructured data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity.
