Docugami
Docugami is a Seattle-area document AI startup, founded in 2018 by XML co-inventor Jean Paoli, that converts unstructured business documents into knowledge graphs via its proprietary DGML format and in-house foundation models, serving insurance, life sciences, real estate, and government customers through tiered SaaS subscriptions and enterprise integrations.
- Company typePrivate
- Founded2018
- HeadquartersKirkland, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Docugami does
Docugami is a Seattle-area document engineering company founded in March 2018 by Jean Paoli — one of the original co-inventors of XML — alongside four other former senior Microsoft engineering leaders. The company builds an agentic AI platform that converts unstructured business documents into structured knowledge graphs, using a proprietary Document Graph Markup Language (DGML) and a Business Document Foundation Model family (2.7B to 20B parameter LLMs) trained on millions of business documents with multi-modal vision-and-text inputs. The platform targets document-intensive workflows across commercial insurance, life sciences, commercial real estate, IT services, professional services, supply chain, technology, and government, with named reference customers including NASA, the National Science Foundation, and several insurance carriers.
The product surface spans the core Docugami Document AI Platform, verticalized add-on modules (Contract Intelligence, Financial Processing, Compliance Monitoring) with stated ROI metrics of 60–70% faster processing, a REST API with Model Context Protocol (MCP) support for agentic workflows, and a White-Label Cloud Embed offering for ISV partners. Revenue is generated through a tiered SaaS subscription (Professional $300/mo, Team $600/mo, Business $1,250/mo, Enterprise custom) combined with usage-based page-volume pricing, sold via direct enterprise sales, a 14-day free-trial product-led growth motion, and technology partnerships with Appian, UiPath, Automation Anywhere, Box, Dropbox, Microsoft, Zapier, and Coda. The company has raised approximately $10.35M in disclosed funding, led by SignalFire with NextWorld Capital and Grammarly participating, and is preparing to open-source DGML in July 2026 in partnership with Inveniam.
Docugami firmographics
Firmographics- Name
- Docugami
- Legal name
- Docugami Inc.
- Website
- https://docugami.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Docugami is a Seattle-area document AI startup, founded in 2018 by XML co-inventor Jean Paoli, that converts unstructured business documents into knowledge graphs via its proprietary DGML format and in-house foundation models, serving insurance, life sciences, real estate, and government customers through tiered SaaS subscriptions and enterprise integrations.
- Ownership category
- akta.pro rank
Docugami industry classification
Industry- Product category
- Intelligent Document Processing
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Intelligent Document Processing (IDP) & OCR Automation (HDAEAHAC)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Docugami is headquartered
LocationHeadquarters
- HQ city
- Kirkland
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Docugami business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription - Tiered Plans: Docugami operates on a tiered SaaS subscription model with four plans (Professional, Team, Business, Enterprise). Pricing is based on a combination of seat count and monthly document page volume limits. Enterprise pricing is custom/quote-based.
- Usage-based Page Processing: Each plan tier includes a monthly allocation of document page uploads. Overage charges or upgrades to higher tiers apply when users exceed their monthly page limits, creating a usage-based revenue component within the subscription framework.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Professional - $300/month (Founder's Price) for 1 user and 450 pages/month |
| Subscription | Monthly | Team - $600/month for 4 users and 1,000 pages/month |
| Subscription | Monthly | Business - $1,250/month for 10 users and 2,500 pages/month |
| Subscription | Multi-year contract | Enterprise - Custom pricing |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels5 records
Docugami product offering
Product offeringCore offering
Docugami sells a SaaS Document AI platform that transforms unstructured business documents (contracts, policies, leases, invoices, clinical and regulatory paperwork) into structured Knowledge Graphs via its proprietary Document Graph Markup Language (DGML) and a family of multi-modal business document foundation models. The platform exposes this document intelligence through a web application, a REST API for ISV embedding, and pre-built integrations with cloud storage, RPA, and automation platforms, sold as tiered subscriptions plus custom enterprise contracts.
Product overview
Docugami is a document engineering company offering an agentic AI platform that transforms unstructured business documents into structured, actionable data. The core product is the Docugami Document AI Platform powered by patented DGML (Document Graph Markup Language) technology and a proprietary Business Document Foundation Model (2.7B to 20B parameter LLMs). The platform converts documents into Knowledge Graphs enabling contract intelligence (60% faster reviews), financial processing (70% faster), and compliance monitoring. Docugami offers subscription tiers from Professional ($300/mo) to Business ($1,250/mo), an API for programmatic integration, and white-label cloud embedding for ISV partners. The system integrates with cloud storage platforms (Box, Dropbox, Google Drive, OneDrive, SharePoint), productivity tools (Word, Excel), and automation platforms (Power Automate, UiPath, Automation Anywhere, Zapier).
Differentiator
Problem solved
Functional benefit
Products and services
- Docugami Document AI Platform The core agentic SaaS platform that transforms unstructured business documents into Knowledge Graphs of actionable data at enterprise scale. Powers document workflows for business users across all verticals (insurance, life sciences, real estate, professional services, supply chain, technology, government) and document types, including contract intelligence, financial processing, and compliance monitoring use cases.
- Docugami Business Document Foundation Model A proprietary family of multi-modal large language models (2.7B to 20B parameters) trained on millions of business documents with vision and text inputs. Generates Document XML Knowledge Graph representations of entire business documents and supports generative outputs including spreadsheets, business reports, abstracts, and new business documents through assisted authoring.
- DGML (Document Graph Markup Language) Docugami's patented XML-based Document Graph Markup Language technology that creates semantic knowledge graphs for document representation. Enables hierarchical entity encoding and adaptive parsing for noisy documents with 95%+ precision without template training, capturing headers, paragraphs, tables, and natural language content as interconnected nodes and edges.
- Docugami API REST API for programmatic document processing with endpoints for uploading documents, polling processing status in real-time, downloading DGML XML for custom parsing, and webhook support for event-driven workflows. Available to select customers on the Docugami Playground and for white-label embedding by ISV partners, including a Python SDK and an MCP (Model Context Protocol) Server for agentic and natural-language interfaces.
- White-Label Cloud Embed Fully managed white-label service for ISV partners with customer branding, zero infrastructure management, auto-scaling and load balancing, custom domain support, and SLA-backed uptime guarantees for embedding Docugami document AI inside partner applications.
Quantifiable outcome
- Significantly reduces time spent reviewing documents manually by automatically extracting and structuring information
- +2 more outcomes
Companies that use Docugami
Customer profileNamed customers14 records
Segments8 records
Ideal customer profiles5 records
Docugami technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration9 records
AI capability9 records
Feature5 records
Docugami partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered strategic, core and general.
- InveniamstrategicStrategic partnership for blockchain anchoring of Docugami's DGML documents. Inveniam provides blockchain-based verification and timestamping for document authenticity, creating an immutable record of document integrity.
- AppiancoreLow-code process automation platform that integrates with Docugami to enable document-centric workflow automation. Joint customers can combine Appian's BPM capabilities with Docugami's document intelligence.
- UiPathcoreLeading robotic process automation (RPA) platform that integrates Docugami's document AI into automation workflows. Enables RPA robots to intelligently process and extract data from unstructured documents.
- Automation AnywherecoreRPA platform partner integrating Docugami's document intelligence capabilities into automation bot workflows for enterprise customers processing large volumes of documents.
- BoxcoreCloud content management platform integration allowing Docugami to process and analyze documents stored in Box, bringing document intelligence to Box's enterprise customer base.
- DropboxcoreCloud storage platform integration enabling Docugami to analyze documents stored in Dropbox, creating a seamless document processing workflow for Dropbox users.
- ZapiergeneralIntegration via Zapier's automation platform enabling Docugami to connect with thousands of third-party applications, extending reach to small and medium businesses through no-code automation.
- MicrosoftstrategicMicrosoft has supported Docugami through various initiatives, including providing Azure compute credits for AI model training. CEO Jean Paoli's XML co-inventorship with Microsoft creates a historical connection.
- CodageneralModern document platform integration allowing Docugami to process and enhance documents created in Coda, bringing advanced document intelligence to Coda's collaborative workspace users.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
Docugami competitors and assessment
Company assessmentDirect peers
- ABBYY: ABBYY is a long-established IDP and OCR vendor offering FlexiCapture and Vantage for document extraction and process automation. It is one of the most direct competitors to Docugami's document AI platform, targeting similar enterprise document workflows.
- Hyperscience: Hyperscience provides AI-powered document processing and automation for enterprise workflows, particularly in insurance and financial services. It is a direct peer in the IDP space with similar target verticals (insurance, healthcare) and value proposition around automating unstructured document handling.
- Rossum: Rossum is an AI-based IDP platform focused on invoice and business document extraction, particularly for finance and accounting teams. It competes directly with Docugami's Financial Processing module in transactional document workflows.
- Indico Data: Indico Data offers an AI platform for intelligent document processing and automation, targeting enterprise document workflows in insurance and other document-heavy industries. It is comparable to Docugami in both product approach (foundation models for unstructured documents) and target verticals.
Broad incumbents
- Microsoft Syntex: Microsoft Syntex (formerly SharePoint Syntex) is Microsoft's AI-driven document processing offering within the Microsoft 365 ecosystem. As a broad incumbent, it competes with Docugami for enterprise document AI budgets, particularly within Microsoft-centric enterprises, and benefits from native SharePoint/OneDrive distribution.
- Adobe Document Services: Adobe offers AI-powered document services through Acrobat and Document Cloud, including PDF processing and AI Assistant capabilities. As a broad incumbent with massive enterprise distribution, it represents a competing option for enterprise document intelligence, especially in workflows already anchored on PDF.
- Google Document AI: Google Document AI is a cloud-based document processing service within Google Cloud, offering pretrained and custom models for extraction and classification. It competes with Docugami at the platform level for enterprise IDP workloads, particularly among Google Cloud customers.
- Kofax: Kofax (now Tungsten Automation) is a legacy IDP and intelligent automation vendor serving enterprise document workflows. It is comparable to Docugami as an enterprise IDP platform with similar target customers in financial services, insurance, and government.
Emerging players
- UiPath Document Understanding: UiPath's Document Understanding capability embeds AI document extraction within its RPA platform. While it competes in some IDP use cases, it is primarily a distribution channel for Docugami via their technology partnership; it is comparable as a document AI solution offered to enterprise automation buyers.
- Eden AI: Eden AI is an AI API aggregator that provides unified access to multiple document AI and OCR providers. It is an emerging player in the document AI space with a developer-first, API-driven approach comparable to Docugami's API-first strategy.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Docugami social profiles
Digital presenceDocugami compliance and trust
Trust signalCompliance2 records
Docugami financial estimates
Financial estimateRevenue estimate
Valuation estimate
Docugami leadership team
Management profileNumber of profiles
Profiles8 records
Docugami funding detail
Funding detailFunding overview
Funding rounds4 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Docugami M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Docugami
What does Docugami do?
Docugami sells a SaaS Document AI platform that transforms unstructured business documents (contracts, policies, leases, invoices, clinical and regulatory paperwork) into structured Knowledge Graphs via its proprietary Document Graph Markup Language (DGML) and a family of multi-modal business document foundation models. The platform exposes this document intelligence through a web application, a REST API for ISV embedding, and pre-built integrations with cloud storage, RPA, and automation platforms, sold as tiered subscriptions plus custom enterprise contracts.
Is Docugami a public or private company?
Docugami is a private company. It is classified as venture growth investor backed and is currently operating.
When was Docugami founded?
Docugami was founded in 2018. It employs 11 to 50 people.
Where is Docugami based?
Docugami is headquartered in Kirkland, United States, in the North America region.
How does Docugami make money?
Two revenue lines are on record. SaaS Subscription - Tiered Plans are the primary driver. The others are usage-based Page Processing.
Who are Docugami's main competitors?
Direct peers on record are ABBYY, Hyperscience, Rossum and Indico Data. Broad incumbents are Microsoft Syntex, Adobe Document Services, Google Document AI and Kofax. Emerging players are UiPath Document Understanding and Eden AI.
Does Docugami have an API?
Yes. Docugami offers a REST API for programmatic document processing. The API supports uploading documents via /documents/content endpoint, polling processing status in real-time, downloading DGML XML for custom parsing, and webhook support for event-driven workflows. The API is currently available to select customers on the Docugumai Playground and for white-label embedding by ISV partners. Integration options include REST API for direct calls and MCP (Model Context Protocol) for agentic, natural-language interfaces. The MCP Server enables white-label chatbot integration, natural language document queries, and multi-agent orchestration support compatible with GitHub Copilot patterns. Developer documentation is at www.docugami.com/partners/technology-isv.
What industry is Docugami in?
Docugami's product category is Intelligent Document Processing. Its primary akta.pro industry code is HDAEAHAC, Intelligent Document Processing (IDP) & OCR Automation, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 513210 and its SIC code is 7372.