How it works for companies
We help companies to
Gain a competitive advantage by identifying cutting-edge innovation and expertise from universities and institutes worldwide.
- Connect with teams actively looking for industry partners
- Benefit from the latest academic breakthroughs
- Spend less time on outreach through scalable scouting
How companies engage through IN-PART
Get matched to new opportunities through Connect for free
Create an interests profile and review matches from 250+ subscribed institutes across all sectors and development stages.
- Saved searches and filters
- Weekly alerts with recommendations from our team
- Only active, available and up-to-date opportunities
Extend your reach through Discover
Proactively engage an embedded network of academics and commercialisation teams in 2,400+ institutes with requirements or requests for proposals.
- An in-house team of STEM experts working for you
- Identify technologies, research, expertise, centres of excellence, and spin-outs
- Undisclosed opportunities and unpublished research
Start new conversations with academic teams
We introduce you directly to the team behind each project.
- Completely free with no associated costs
- Trusted, secure, and confidential
- A direct line to new partners
Create impact with us
Identify opportunities aligned to your priorities
Build connections with institutes worldwide
Drive forward your pipeline with the latest breakthroughs
We help companies create impact
Matching industry decision-makers with the brightest minds in academia to solve real-world problems.
Active Connect Technologies
Fentanyl Detection in Fingernail Samples
Texas Tech University System
An innovative method that combines ATR-FTIR spectroscopy with machine learning to detect fentanyl in human nails
Methods of Training a Gamma Mixture Hurdle Model for Estimating Corresponding Food Flows between Regions
University of Illinois Urbana-Champaign
Software for mapping food flows to identify food supply chain vulnerabilities and enable detailed lifecycle and footprint assessments
RF Signal-based Human Context Inference for Health and Safety Monitoring
University of California, Santa Barbara
A cutting-edge technology that leverages commodity RF signals to sense and interpret human body motion and movement
We work with
Universities
Companies
Testimonials
What our customers say
“I enjoy using IN-PART to easily access academic research from universities across the globe. Different to other providers, IN-PART offers personalised services to screen for early-stage innovation, specific to our research requirements, at a large number of associated universities! And amazingly, they do this free of charge.”
“I really like IN-PART for two reasons. It’s easy to enter, navigate and filter however you want. Secondly, they are consistent, responsive, and they really care what you are looking for and what you need.”
"[IN-PART] has clearly been designed to aid developers and industry to find each other simply without any restrictions or hidden costs. I would like to thank the IN-PART team for the service and will continue to consider technologies forward for our review."