Corporate R&D Solutions
Smart tools for industry research
Scientific and technical documents are vital for your innovation and R&D success – but near impossible to efficiently leverage with human power alone. From the extraction of key data points via better literature reviews to leveraging old in-house knowledge and identifying new insights – humans need machine assistance to improve outcomes.
That’s what we are solving with the Iris.ai modular tool suite for industry R&D. We have spent the last 5 years developing a world-leading NLP engine for Scientific Text understanding. Learn how we can solve your problem!
Use case examples from our R&D clients
Get the Iris.ai tools for your R&D team
With the Iris.ai industry R&D suite, we take a modular approach to the problem of scientific text understanding. We mix and match modules that will best address your main challenges.
At the core of all modules is an engine trained on a broad research corpus, that can easily be specialized on your domain with a small set of documents.
Functional modules include document categorization, text similarity, content-based recommendation engines, document classification, document summarization, innovation feasibility evaluation and table and text linking. Supporting modules include API integrations with existing work processes, UX and visualization and explainability modules.
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