Our story so far

The story of IPRally in a nutshell. From initial questions to validation of ideas and a working product.

It's been quite a journey up to this point. I mean everything that has happened since the decision to start building a patent AI company.

At that point, having drafted hundreds of patent applications and manually analysing a manyfold number of other patents, there was only a bunch of questions:

- Could a computer learn the basic principles of patenting somehow?
- How to maximally utilize all the patent data available and particularly the collective intelligence hidden in the data?
- Since the same pattern of thought repeats for every invention and every piece of prior art in patent attorney's head, is there something that could be automated?
- As practically all relevant prior art is available on the filing date of the patent application, it it really necessary to struggle 5-10 years to get the patent?
- And finally, how to make something useful out of these thoughts?

Extensive discussions with AI experts, software developers and clientele convinced that these are not only interesting problems, but also worth solving in practice. Initial list of over a dozen product ideas was reduced first to a few and finally to a single one: An intelligent search engine that would serve as such and in the future as a workhorse for other products. A search engine that thinks like a patent professional.

Building a super talented team who are also inspired by complex problems and diving into deep development mode for several months took us where we are now. Pilots are starting with industry-leading partner companies. We are committed to both improving the product based on user feedback and developing it according to our long-term vision.

We wish that the new website just launched will help you to keep up with our developments, products and offerings.

Stay tuned!

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Webinar Q&A follow-up: your questions about the IPRally MCP answered

Thank you to everyone who joined Patent answers, inside the AI you already use. Across the two sessions on 4 November, you sent us more questions than we had time to answer live. We have grouped them by theme below, merged similar questions and included the answers given during the sessions.

Your IPRally workspace, wherever you work

Your AI assistant can now pick up where your IPRally work left off. The IPRally MCP now reads your collections, tags, search cases, projects, and agent runs, so your agent starts from results you’ve already vetted instead of a blank prompt.

Webinar Q&A follow-up: your questions about IPRally Drafting answered

Thank you to everyone who joined No more drafting in the dark: prior-art-aware patent drafting with IPRally Protection. Across our EU and US sessions, you sent us more than 80 questions, from file formats and drawings to claim clarity and US disclosure duties. We have grouped the answers by theme and merged similar questions. Some were answered live or in the chat during the sessions, and we include those here too.

Webinar Q&A follow-up: your questions about IPRally Intelligence answered

Your questions on IPRally Intelligence, answered: from working with larger datasets to verifying results at paragraph level.

IPRally is SOC 2 Type II compliant

IPRally has completed its SOC 2 Type II examination. Advantage Partners, our independent auditor, tested our security controls in operation from March 4 to June 4, 2026, and issued an unqualified opinion: no exceptions noted on any control tested.

When systems start talking: IPRally's journey toward a virtual IP department

Something new is happening: people talk to systems in plain language, systems talk back, and systems have started talking to each other the same way. As AI climbs from the small decisions to the large ones, the question for IP work is no longer whether it gets automated, but how to stay in control once it is. Co-founder and CPO, Sakari Arvela, lays out where this leads – through IPRally's new API and upcoming MCP support toward a virtual IP department that's always on – and why humans end up more important in that picture, not less.

Search, Intelligence, Protection: the three pillars of IPRally’s next chapter

For nearly a decade IPRally has been obsessed with getting one task right: patent search. Having built the best patent search in the world, we’re now reorganizing around three pillars – Search, Intelligence, and Protection – the newest of which makes drafting prior-art-aware from the first sentence. Co-founder and CPO Sakari Arvela maps out the next chapter, and why Protection is the shift he's most personally invested in.

NGen selects IPRally to bring AI-native patent intelligence to Canada's advanced manufacturers

After evaluating a range of tools on functionality, usability, and cost, Canada's Global Innovation Cluster for Advanced Manufacturing chose IPRally to power its Patent Search Adoption Tool Pilot Program.

IPRally and RPX Corporation announce strategic collaboration, cross-linking AI-powered patent search with RPX Empower

IPRally today announces a strategic collaboration with RPX Corporation, the global patent risk management service provider, that further expands the capabilities of the RPX Empower platform and provides seamless access to business critical complementary information for IPRally users.

Macro meets micro: IPRally's next chapter builds intelligence on search

Excellence in patent search was always the foundation. But foundations are meant to be built on. After years of staying focused – and saying no to a lot – IPRally is now ready to bring the same rigor and precision that redefined search to the bigger, strategic questions that businesses make decisions on. CCO Andreas Cehlinder explains why now, and what comes next.