Solve Intelligence

Sacra estimates that Solve Intelligence hit $12M in annual recurring revenue (ARR) in December 2025, up from $1M ARR in December 2024.

Solve Intelligence has posted 25% month-over-month growth since its 2023 launch. The customer base doubled during 2025 to over 400 IP teams globally, split roughly 60% law firms and 40% corporate legal departments.

Solve Intelligence operates profitably and has generated more cash than it has raised to date. The company serves clients across six continents, with enterprise customers including Siemens and Avery Dennison.

Solve Intelligence closed a $40M Series B in December 2025 led by Visionaries Club, with participation from 20VC, Microsoft M12, Thomson Reuters Ventures, and Operators Collective.

The company previously raised a $12M Series A in April 2025 led by 20VC, with Microsoft M12 and Thomson Reuters Ventures participating alongside Y Combinator. Prior to that, Solve Intelligence raised a $3M seed round.

Total funding raised across all rounds amounts to $55M.

Solve Intelligence is a browser-based Patent Copilot that compresses patent drafting from a days-long process to a minutes-long workflow.

Patent lawyers and corporate IP teams work within a Google Docs-style editor where they can paste invention descriptions or raw call transcripts. The AI system then generates complete patent drafts, office action responses, or claim charts automatically.

The platform covers workflows across the patent lifecycle, starting with invention harvesting. R&D staff receive configurable questionnaires that automatically convert their technical answers into formal disclosure forms for IP team review.

For drafting, users select style profiles based on jurisdiction, client preferences, and specific phraseology requirements. The Copilot proposes skeleton claims and abstracts that attorneys can edit inline or modify through conversational commands.

The prosecution workflow allows users to upload USPTO Office Action PDFs. The AI parses rejections, identifies weak points, drafts proposed amendments, and cites relevant MPEP sections and case law with direct source links.

The Charts module, launched in December 2025, enables litigation teams to upload thousands of documents and automatically generate infringement, invalidity, or freedom-to-operate charts. Users can expand any cell to inspect the AI's reasoning chain and verify citations.

Solve Intelligence operates a subscription SaaS model with usage-based pricing components tailored to patent workflow intensity.

The company targets both law firms and corporate IP departments through a B2B go-to-market approach. Its browser-based delivery model reduces adoption friction compared to legacy IP management suites that require extensive IT integration.

Solve Intelligence layers proprietary evaluation and post-processing algorithms on top of frontier language models accessed through Azure. The platform incorporates domain-specific fine-tuning across patent documents, file wrappers, and case law databases.

Revenue scales through both seat expansion within existing customers and consumption growth as teams automate more patent workflows. The pay-as-you-draft model appeals particularly to smaller law firms that cannot afford enterprise IP management licenses.

Enterprise customers benefit from customizable AI style profiles that match their specific drafting preferences and jurisdictional requirements. This customization creates switching costs as teams become accustomed to firm-specific automation workflows.

The platform's multimodal capabilities handle chemical sequences and technical drawings, expanding its addressable use cases beyond basic text drafting into complex technical patent applications.

Clarivate acquired Rowan Patents in July 2024 to integrate drafting capabilities directly into its IP lifecycle platform. This vertical integration strategy positions Clarivate as a comprehensive solution spanning search, analytics, docketing, and drafting.

LexisNexis partnered with Harvey in June 2025 to combine legal content databases with generative AI drafting capabilities. The alliance leverages LexisNexis distribution within large law firms while providing citation-backed drafting through Harvey's interface.

These incumbents can bundle drafting functionality at minimal incremental cost, creating pricing pressure and raising customer switching costs through integrated data subscriptions.

ClaimMaster plans a 2026 release integrating GPT-5 and Claude-4.5 with batch claim chart generation delivered as a Microsoft Word plugin. This approach targets solo practitioners and small firms seeking familiar integration points.

Patent Bots offers PatentPlex for file wrapper analysis and office action automation with section-level drafting capabilities. These point solutions often compete on specific workflow efficiency rather than comprehensive platform breadth.

Specialized competitors typically focus on narrow use cases but may achieve superior performance in their target workflows compared to broader platforms.

OpenAI, Perplexity, and Harvey are expanding horizontally into IP workflows with strong citation capabilities and general legal reasoning. These platforms threaten to commoditize basic drafting tasks through superior underlying model performance.

The risk from horizontal expansion lies in these platforms' ability to leverage massive scale and R&D investment to match specialized functionality while offering broader utility across legal workflows.

The December 2025 launch of Charts extends Solve Intelligence from patent prosecution into litigation support and competitive intelligence. This module enables automatic generation of infringement, invalidity, and standards-essential patent charts.

Life sciences functionality represents a clear expansion path into high-margin pharmaceutical and biotech verticals where patent drafting complexity commands premium pricing. Sequence listing and biologics capabilities are already in development.

An end-to-end operating system vision could capture additional patent services value through modules for docketing, annuity payments, and automated information disclosure statements.

Enterprise adoption has grown from 200 to 400+ IP teams globally during 2025. SOC-2 and ISO certifications can unlock thousands of R&D-heavy corporations still relying on legacy patent management tools.

Small and midsize law firms represent a long-tail opportunity where browser-based deployment and flexible pricing models reduce adoption barriers compared to enterprise IP suites.

The platform's customizable AI styles and pay-per-use pricing structure particularly appeals to boutique practices that need professional-grade automation without enterprise overhead.

New York and Munich offices provide local sales coverage in the world's largest patent fee markets. Remote SaaS delivery already attracts users across six continents without requiring local infrastructure.

Global patent filings reached 3.7M in 2024 with strong growth in China, India, and Korea. Localization of language models and on-premises deployment options could tap emerging market demand.

European and Asian markets offer significant expansion opportunities as patent filing activity continues growing faster than traditional patent service capacity.

Model commoditization: As frontier language models become more capable and accessible, Solve Intelligence's competitive advantage may erode if general-purpose AI platforms can match specialized patent drafting quality. The company's proprietary post-processing and domain fine-tuning must continue to deliver measurable differentiation over raw model capabilities.

Incumbent integration: Large IP data vendors like Clarivate and LexisNexis can bundle drafting functionality into existing subscriptions at low incremental cost, which could undercut Solve Intelligence's pricing power. These incumbents control key patent databases and maintain established relationships with the same target customers.

Regulatory constraints: Patent offices may implement restrictions on AI-generated applications or require specific disclosures that could limit automation benefits. Changes in patent examination procedures or professional responsibility rules could diminish the platform's automation benefits or create compliance overhead.