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IPRally

Explainable AI patent search built on a graph neural network over global patent data.

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About

IPRally is a Helsinki-based company offering AI-powered patent search and classification for IP and R&D professionals. Its proprietary technology uses graph neural networks to build a technical and semantic understanding of global patent data, so searches depend less on exact keywords and examiner-level expertise. The company positions itself against black-box AI by making the search explainable and keeping control with the user, and it has expanded toward patentability and invalidity searches, freedom-to-operate analyses, continuous monitoring, and portfolio analysis.

Founded in 2018 by CEO Sakari Arvela (a European patent attorney) with Juho Kallio and Juuso Piskonen, IPRally raised a 10 million euro Series A led by Endeit Capital in 2023, with Join Capital, Spintop Ventures, and Icebreaker.vc participating. Reporting on its pitch deck cites customers including NVIDIA, Siemens Energy, and L'Oreal. The platform serves technology corporations, patent law firms, academic institutions, and public patent offices. Pricing is quote-based for teams.

What it can do

  • Graph neural network patent search over global patent data
  • Explainable AI search results for patent professionals
  • Patentability, invalidity, and freedom-to-operate searches
  • Patent classification and portfolio analysis
  • Continuous patent monitoring and alerts
  • Competitive intelligence for R&D teams

Setup

  1. Request a demo or trial on iprally.com for your IP or R&D team.
  2. Define your search scope: patentability, invalidity, or freedom-to-operate.
  3. Run graph-based searches across the global patent corpus.
  4. Review explainable results and refine with semantic filters.
  5. Set up continuous monitoring alerts for your technology areas.

Prerequisites

IP or R&D team; team license via sales.

Use cases

patent-searchprior-art-searchpatent-classificationintellectual-property

Works with

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: EUR10M Series A led by Endeit Capital, 2023 (AIN, Startup Reporter, Silicon Canals); founders with deep patent-domain credentials incl. a European patent attorney; pitch-deck reporting names NVIDIA, Siemens, L'Oreal as customers. Strengths: genuine technical differentiation (graph AI, explainability), credible IP-domain founders, growing toward a full patent-research platform. Docked for: (1) Series A is three years old with no newer funding disclosed; (2) flagship customer names come from deck reporting, not independent confirmation. License: proprietary.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.0/10
Maintenance · recency, releases, issue load
7.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · EUR10M Series A led by Endeit Capital, 2023 (AIN, Startup Reporter, Silicon Canals)
  • · Founded 2018 Helsinki by Sakari Arvela (European patent attorney), Juho Kallio, Juuso Piskonen
  • · Graph neural network + explainable AI positioning; customers incl. NVIDIA, Siemens, L'Oreal per pitch-deck reporting
  • · Series A is 3 years old with no newer round disclosed; flagship customer names from deck reporting only

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.