The Data-Centric Approach to Computer Vision

The MLOps platform that helps computer vision teams get production-ready models 8x faster!

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Trusted by Hundreds of ML Engineers, Fortune Global 500,
and industry-leading partners

Product

Production-ready Models at record-breaking speed

Detect, visualise & correct data failures to train better models

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Product

Ship Great Models Faster than your Competition

Detect, visualize & correct data failures to train better models

Drag & Drop Integration

Host data privately in your enterprise cloud storage & load your datasets in minutes

Failure Analysis

Detect, visualize, & correct data failures to train better models

Model Performance

Compare your model's performance and ship industry-models quickly

Scenario Analysis

Compare model performance on user-defined data slice to control model evaluation

Data Quality Analysis

Visualize, identify, and correct issues in your data

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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.

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Industries

Industries Tenyks Supports

Resolve any computer vision challenge on a single platform

Retail

Robotics

Smart Cities

Sports & Media

Customers

Why Tenyks?

Hear what our customers have to say about Tenyks

Peter Hedley

Chief Technology Officer

Recycleye

"Working with Tenyks has been a game changer for us. We automated a previously laborious process, allowing our team to focus on more strategic activities. We tackled a bug we've been trying to squash for ages, and finally moved on without the stress of production models not performing exactly as we expect!"

Henry Jackson-Flux

Lead Research Engineer

“Tenyks is a fantastic tool! We are getting a huge amount of benefit from it. It’s becoming our source of truth, and we are relying on it more and more to streamline our ML Data pipeline.”

Benedetta Delfino

Flexy

Good Luck

Peter Hedley

CTO

Recycleye

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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

Tenyks selected in Forbes Under 30, Technology Class of 2023

News

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Tenyks selected in Forbes Under 30, Technology Class of 2023

The Founders of Tenyks were selected to be part of Forbes Under 30 Class Of 2023 for Powering a Digital Revolution.

Tenyks wins Company of the Year at University of Cambridge

News

12 min read

Tenyks wins Company of the Year at University of Cambridge

Tenyks wins the Company of the Year Hall of Fame Awards 2022 at the University of Cambridge.

Tenyks, a University of Cambridge spin-out focused on helping ML engineers

News

1 min read

Tenyks, a University of Cambridge spin-out focused on helping ML engineers

The startup’s platform helps machine learning engineers working with computer vision data build more reliable software, faster.

Cambridge startup Tenyks combats AI tech 'terminator'

News

3 min read

Cambridge startup Tenyks combats AI tech 'terminator'

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.