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Hebbia
AI-powered document analysis platform (Matrix) that enables financial, legal, and corporate teams to query, analyze, and extract insights from vast amounts of unstructured documents

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<ul><li><strong>Pricing Model:</strong> Seat-based, Custom Enterprise Pricing (non-public)</li><li><strong>Packaging Model:</strong> Enterprise-only custom contracts with mandatory sales engagement, some reports suggesting two-tier model with adjustable components</li><li><strong>Credit Model:</strong> N/A</li></ul>
January 23, 2026
Last update:
<h3>Product Overview</h3><p>Hebbia is an AI-powered enterprise document analysis platform that serves financial services, legal operations, and corporate research teams. The company operates through a proprietary ISD (Information, Synthesis, Decomposition) system that decomposes complex queries into sub-tasks and deploys specialized AI agents in parallel. Founded in 2020, Hebbia has achieved $13M ARR with profitability and raised $161.1M across three funding rounds, reaching a $700M valuation. The platform exclusively serves enterprise customers through custom contracts, maintaining complete pricing opacity unlike typical SaaS competitors.</p>
<h3>Pricing Snapshot</h3><div class="tableResponsive"><table cellpadding="6" cellspacing="0"><tr><th>Tier</th><th>Price</th><th>Commitment</th><th>Public Availability</th><th>Status</th></tr><tr><td>Enterprise Custom</td><td>Quote-based pricing</td><td>Minimum 1 year</td><td>Not disclosed</td><td>Active</td></tr><tr><td>Professional Seats</td><td>~$10,000/seat/year (estimated)</td><td>Annual</td><td>Quote only</td><td>Unverified</td></tr><tr><td>Lite Seats</td><td>$3,000-$3,500/seat/year (estimated)</td><td>Annual</td><td>Quote only</td><td>Unverified</td></tr></table></div>
<h3>Key Features & Capabilities</h3><p>Hebbia&#039;s platform combines proprietary AI architecture with enterprise-grade security and premium data integrations for compliance-critical document analysis workflows.</p><ul><li>Proprietary ISD System &amp; AI Architecture: Multi-agent orchestration decomposes complex queries into parallel sub-tasks with glass-box transparency for full citation tracing and audit compliance, featuring an infinite effective context window and multi-modal processing.</li><li>Premium Data Integrations &amp; File Support: Native connections to S&amp;P Capital IQ, FactSet, Preqin, Third Bridge, Egnyte, and Microsoft Azure AI Foundry with support for PDFs, Word, Excel, presentations, emails, and images.</li><li>Enterprise Security &amp; Compliance: SOC 2 Type I and II certified with AES 256 encryption, TLS 1.3, and full compliance with GDPR, CCPA, CPA, CTDPA, UCPA, and VCDPA regulations with a strict no-training policy.</li><li>Multi-Model AI Support: Platform supports GPT-5, GPT 5.1, GPT 5.2, Gemini 3, Gemini 3 Flash, and Opus 4.5 for flexible deployment tailored to specific enterprise use cases.</li></ul>
<h3>Pricing Model Analysis</h3><p>Hebbia employs a Custom Enterprise-Only pricing model with complete non-disclosure of commercial terms.</p><div class="tableResponsive"><table cellpadding="6" cellspacing="0"><tr><th>Metric Type</th><th>What Measured</th><th>Why It Matters</th></tr><tr><td>Value Metric</td><td>Seat-based licensing per user</td><td>Aligns cost with team size and access</td></tr><tr><td>Usage Metric</td><td>Document processing volume (undisclosed limits)</td><td>Enterprise usage governed by Fair Use Policy</td></tr><tr><td>Billable Metric</td><td>Annual subscription per seat</td><td>Predictable enterprise budgeting</td></tr></table></div>
<h3>Pricing Evolution Timeline</h3><div class="tableResponsive"><table cellpadding="6" cellspacing="0"><tr><th>Date</th><th>Milestone</th><th>Source</th></tr><tr><td>October 29, 2020</td><td>Pre-Seed Funding ($1.1M) - Established custom pricing foundation</td><td><a href='https://www.crunchbase.com/funding_round/hebbia-pre-seed--9b86123f' target='_blank'>Crunchbase - Pre-Seed Round <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>July 2022</td><td>Series A Funding ($30M) - Commercial pricing model launch</td><td><a href='https://techcrunch.com/2022/09/07/hebbia-raises-30m-to-launch-an-ai-powered-document-search-tool' target='_blank'>TechCrunch Series A <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>July 8, 2024</td><td>Series B Funding ($130M at $700M valuation) - $13M ARR validation</td><td><a href='https://techcrunch.com/2024/07/09/ai-startup-hebbia-rased-130m-at-a-700m-valuation-on-13-million-of-profitable-revenue' target='_blank'>TechCrunch Series B <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>September 2025</td><td>Premium data integrations (Third Bridge, S&amp;P Capital IQ)</td><td><a href='https://www.hebbia.com/blog/the-disclosure-september-2025' target='_blank'>Hebbia Blog - September 2025 <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>November 2025</td><td>Multi-model AI support (GPT 5.1, Gemini 3, Opus 4.5)</td><td><a href='https://www.hebbia.com/blog/the-disclosure-november-2025' target='_blank'>Hebbia Blog - November 2025 <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>December 2025</td><td>Preqin integration for private markets data</td><td><a href='https://www.hebbia.com/newsroom/hebbia-preqin-integration' target='_blank'>Hebbia Newsroom - Preqin <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr><tr><td>December 2025</td><td>New enterprise platform SKU announced</td><td><a href='https://www.hebbia.com/blog/the-disclosure-december-2025' target='_blank'>Hebbia Blog - December 2025 <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" fill="none"> <path d="M14 6.5C14 6.63261 13.9473 6.75979 13.8536 6.85355C13.7598 6.94732 13.6326 7 13.5 7C13.3674 7 13.2402 6.94732 13.1464 6.85355C13.0527 6.75979 13 6.63261 13 6.5V3.7075L8.85437 7.85375C8.76055 7.94757 8.63331 8.00028 8.50062 8.00028C8.36794 8.00028 8.2407 7.94757 8.14688 7.85375C8.05305 7.75993 8.00035 7.63268 8.00035 7.5C8.00035 7.36732 8.05305 7.24007 8.14688 7.14625L12.2925 3H9.5C9.36739 3 9.24021 2.94732 9.14645 2.85355C9.05268 2.75979 9 2.63261 9 2.5C9 2.36739 9.05268 2.24021 9.14645 2.14645C9.24021 2.05268 9.36739 2 9.5 2H13.5C13.6326 2 13.7598 2.05268 13.8536 2.14645C13.9473 2.24021 14 2.36739 14 2.5V6.5ZM11.5 8C11.3674 8 11.2402 8.05268 11.1464 8.14645C11.0527 8.24021 11 8.36739 11 8.5V13H3V5H7.5C7.63261 5 7.75979 4.94732 7.85355 4.85355C7.94732 4.75979 8 4.63261 8 4.5C8 4.36739 7.94732 4.24021 7.85355 4.14645C7.75979 4.05268 7.63261 4 7.5 4H3C2.73478 4 2.48043 4.10536 2.29289 4.29289C2.10536 4.48043 2 4.73478 2 5V13C2 13.2652 2.10536 13.5196 2.29289 13.7071C2.48043 13.8946 2.73478 14 3 14H11C11.2652 14 11.5196 13.8946 11.7071 13.7071C11.8946 13.5196 12 13.2652 12 13V8.5C12 8.36739 11.9473 8.24021 11.8536 8.14645C11.7598 8.05268 11.6326 8 11.5 8Z" fill="#95988B"/> </svg></a></td></tr></table></div>
<h3>Customer Sentiment Highlights</h3><ul><li>“Hebbia allows me to explore additional ways of looking at data and documents. Most importantly, Hebbia saves me a lot of time.”<b> <span class="pricingHiphenSymb"> - </span>Verified Customer, G2 Hebbia Reviews</b></li><li>“The support quality is outstanding and helps us maximize the platform&#039;s value for our complex research workflows.”<b> <span class="pricingHiphenSymb"> - </span>Verified Customer, G2 Hebbia Reviews</b></li><li>“Hebbia delivers enterprise-grade document analysis that scales with our organization&#039;s needs while maintaining compliance standards.”<b> <span class="pricingHiphenSymb"> - </span>Verified Customer, G2 Hebbia Reviews</b></li></ul>
Metronome’s Take
<p>Hebbia&#039;s model intentionally avoids consumption-based pricing despite being an AI-heavy product, instead offering unlimited usage within seat tiers to remove friction from adoption in workflows where heavy document analysis is the norm. The Professional/Lite seat distinction creates internal price discrimination based on user role rather than features—power users who design agents pay a ~3x premium over those who simply run them. This structure also embeds expansion directly into the sales motion: deals land with a handful of Professional seats in high-value teams (PE deal teams, M&amp;A advisors), then spread via Lite seats to adjacent functions like IR, corporate finance, and in-house counsel.</p>
<p><strong>Recommendation:</strong> This tiered-seat, sales-led model works best for enterprise software targeting knowledge-worker workflows where a small group of power users creates leverage for a broader organization—common in financial services, legal, and consulting. Companies like Figma (editors vs. viewers), Notion, and Airtable use similar creator/consumer seat splits to align pricing with how value is actually created and consumed within teams. It&#039;s particularly beneficial when the product requires meaningful configuration or customization, justifying both premium pricing for builders and a services-led go-to-market that ensures successful deployment.</p>
<h4>Key Insights</h4><ul><li> <strong>Enterprise-Only Intentionality:</strong> The absence of published pricing or self-serve tiers is intentional, strategic positioning for deals requiring large minimum contracts, where financial services and legal operations buyers expect bespoke pricing negotiations. <p><strong>Benefit:</strong> Customers measure ROI in partner hours saved ($500-$1,500/hour) rather than seat costs, making the custom negotiation process aligned with enterprise procurement expectations and value-based buying criteria.</p></li><li> <strong>Premium Data Integration:</strong> Partnerships with S&amp;P Capital IQ, FactSet, Preqin, and Third Bridge create pricing power beyond the AI layer, representing $50,000+ annual subscriptions customers already pay for data access. <p><strong>Benefit:</strong> Hebbia&#039;s ability to unlock value from existing data investments justifies premium positioning and reduces the incremental cost perception for enterprise buyers who already budget for these data sources.</p></li><li> <strong>Bundled forward-deployed services team (ex-bankers/lawyers):</strong> A strategic offer bundled into core pricing structure points to the value of experienced professionals in the domain Hebbia serves, enabling a new, or additional lever, in negotiations. <p><strong>Benefit:</strong> Customers get white-glove implementation from domain experts who configure templates and handle change management, dramatically reducing time-to-value and removing the typical enterprise AI adoption friction.</p></li></ul>

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