Erasmus Deep Research
Find the discoveries, the inventions and the people who make them, wherever they are.
Erasmus is a deep research platform for querying invention and the knowledge economy linked to it, with a specific focus on science, technology, engineering and maths.
Simple conclusion: 21,000,000 patents and papers were filed in 2025. Finding discoveries, inventions and the people behind them within your geography has become all but impossible, so we created Erasmus.
Figure shows one university’s output. Left: the raw co-authorship graph. Right: the same graph after Erasmus isolates the cluster relevant to a client question.
Simple conclusion: we assay every query against people, places and productivity. Because the three are linked, the same data answers a hiring question, a scouting question or a location question.
Inventors and authors, their provable skills, and who they work with.
Cities, regions, universities, hospitals and companies where the work happens.
Papers, patents and inventions, and how a field is moving over time.
Erasmus uses machine learning and deep research methods to narrow dense technical material to a short, explainable result. Every person, organisation and technology it returns traces back to the evidence behind it.
Figure shows a landscaping project across three European countries, completed in two days. Bar lengths are on a log scale.
Simple conclusion: Erasmus is a multi-use research engine. These are the questions clients bring us most often.
Identify the key technologies, and the groups and companies behind them, within the verticals that matter to your project, company or need.
Example question: “Who is closest to commercialising this technology, and who’s still in stealth?”
Finding technical people is hard. Finding people with provable skills in specific areas is harder still. We make it simple, inclusive and actionable, including the many scientists who aren’t on LinkedIn.
Example question: “Who has published or patented in this niche, and where are they now?”
See how geography and institutions shape your problem: where expertise is concentrated, which institutions lead, and how a field is moving over time.
Example question: “Are we setting up in the right city? Is there enough talent to support our research?”
Evaluate a technology, team or company against the wider record, surfacing competing work and conflicting IP before it becomes a problem.
Example question: “What else overlaps with this invention, and who owns it?”
For not-for-profits, funders and public bodies: technology readiness level (TRL) monitoring, REF assessment and impact assessment for philanthropy.
Example question: “How far has the work we funded progressed, and what impact has it had?”
If it involves science, technology, or the people and places behind them, Erasmus can probably help answer it.
Tell us your questionSimple conclusion: assessment views turn the technical record into scores, benchmarks and team insight you can read in minutes.
A single company or technology: composite score, dimension scores, flags and risks.
Comparison against sector and stage medians, with peers ranked on a composite score.
Key-person risk, citation depth and technology readiness level classified from raw abstracts.
Figure shows illustrative views with anonymised sample data.
Simple conclusion: since our soft launch we have run 50+ projects across drug discovery, technology mapping and technical headhunting, for venture, biotech, technology, public-sector and corporate clients.
| Project | Use | Result |
|---|---|---|
| Finding tech investments | Technology scouting | 504 key scientists and 40 new companies surfaced from 25 years of research, delivered in under 5 days. |
| Finding world-class talent | Finding technical people | 95,000 skilled people mapped, 20,000 in target geographies, supporting hiring across 200+ roles. |
| Mapping country innovation | Landscaping and trends | 300,000 documents across 3 European countries narrowed to 19,661 key authors and 6 biotech competency areas, in 2 days. |
| Commercial intelligence | Assessment and freedom to operate | Multiple stealth companies and IP holding companies found on live client projects. |
Table shows a selection of client projects. Read the full case studies.
Simple conclusion: work with us in the way that suits your question, from a supported two-week project to running your own searches.
Two-week accelerated engagements combining the platform with specialist input. Transparent pricing on analysis, storage and expert time.
Secure, ongoing online access to your results and tooling, with priority for repeat and monitoring projects.
Run your own searches, alerts and monitoring at scale.
Simple conclusion: Erasmus was built inside Revena, a deep technology consultancy, from the tools we use every day to support great technical companies.
Erasmus Deep Research was created within Revena, a deep technology consultancy specialising in support and due diligence, with the aim of refining the tools that help us support great technical companies.
It combines the insight from that work with a range of machine learning and deep research methods, turning highly complex and increasingly dense technical information into simple, explainable and actionable insight.
Bring us a question about science, technology, or the people and places behind them. Tell us what you’re trying to find, decide or assess, and we’ll show you how Erasmus would approach it.
Or email sam@revena.co.uk