The Data-Centric Approach to Computer Vision
The MLOps platform that helps computer vision teams get production-ready models 8x faster!
Product
Production-ready Models at recording-breaking speed
Detect, visualise & correct data failures to train better models
Benefits
Speed & Reliability all in one
100%
Speed-up model diagnostics & improvements
80%
Reduce your labelling & computing costs
99%
Achieve your desired model performance
Use-Cases
Solves Your Top 6 Data Quality Issues
Everything you need to curate your data -- powerful indexing, sorting, and multi-modal search for efficient data selection and maximum data coverage.
Reduce annotation overheads, accelerate data collection, improve performance on underrepresented classes.
1. Slice & Dice Data
Quickly find groups of images that match your criteria for better data management
2. Data Balancing
Detect bias and improve model performance on under-represented classes
3. Multi-modal Search
Quickly retrieve groups of images based on images, objects, and text.
4. Mine Edge Cases
Identify edge cases and outliers and refine datasets through intelligent sampling
5. Enhance Data Quality
Identify incorrect, missing, and inconsistent annotations or poor images and quickly fix them
6. Model Comparison
Head-to-head comparison across data slices, taking evaluation beyond accuracy.
Industries
Industries Tenyks Supports
Resolve any computer vision challenge on a single platform
Agriculture
Automotive
Energy
Entertainment (AR&VR)
Healthcare
Industrial Safety & Surveillance
Logistics
Manufacturing
Customers
Why Tenyks?
Hear what our customers have to say about Tenyks
Peter Hedley
Chief Technology Officer
,
Recycleye
Seb Millar,
ML Engineering Manager
Benedetta Delfino
ML Team Lead
Henry Jackson-Flux
Lead Research Engineer
Benedetta Delfino
PM
,
Flexy
Peter Hedley
CTO
,
Recycleye
Peter Hedley 2
CTO
,
Recycleye
Peter Hedley 3
CTO
,
Recycleye
Peter Hedley 4
CTO
,
Recycleye
Peter Hedley 5
CTO
,
Recycleye
News
Stay Updated with the Latest
We started Tenyks to invent the way humanity interacts with AI to protect the world from the terminator
The Founders of Tenyks were selected to be part of Forbes Under 30 Class Of 2023 for Powering a Digital Revolution.
Tenyks wins the Company of the Year Hall of Fame Awards 2022 at the University of Cambridge.
The startup’s platform helps machine learning engineers working with computer vision data build more reliable software, faster.
Celebrated Cambridge academic Stephen Hawking warned shortly before his death that if AI wasn't managed carefully it could spell the end of the human race.
Tenyks, the Cambridge University spin-off startup, closed a $3.4M round for the development of its MLOps tools platform to help ML engineers.
Tenyks, a spin-out from the University of Cambridge, hopes to provide the next breakthrough in AI after raising $3.4 million.
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