A Higher Standard for Face Recognition.
Trained on an ever-expanding private global dataset of 13 billion photos & videos and designed specifically to handle mission-critical face rec needs.
Our Story
Four years ago, we set out to create a product that automatically organizes your photos and memories. Along the way, we’ve secured 13 billion photos and videos for tens of millions of users in 95 countries. Today, we offer best-in-class face recognition technology with the most comprehensive, real-life data set of any private company in the world. Our models have identified hundreds of millions of clustered identities to date, all derived directly from mobile consumers across the globe.
Our patent-pending technique for collecting tagged data and integrating it into our models has helped us develop the largest tagged dataset ever used to build enterprise-ready APIs and mobile SDKs designed specifically for mission critical face recognition needs.
Ever AI is backed by Khosla Ventures, Felicis Ventures, Icon Ventures, Cherubic Ventures, Transmedia Capital, and SV Angel.
Powered by one of the largest, most diverse, proprietary tagged datasets in the world.
Ever AI vs. Industry Leaders
For our partners, a 1% error rate means billions of dollars in lost revenue.
Face recognition models are only as good as the data on which they are based. Unlike the competition, our models are only trained on proprietary datasets comprised of hundreds of confirmed labels per identity.
But don't take our word for it. Here are the numbers that prove it.
Note: Apple and Google don't offer face recognition services for enterprises.
* Accuracy: probability that two given faces are correctly identified as the same person
** Area Under Curve (AUC): probability that the model will rank a randomly chosen positive instance higher than a randomly chosen negative one
*** Numbers based on Labeled Faces in the Wild (LFW) image dataset
**** Competitor numbers based on publicly available APIs
***** IBM Watson metrics based on image comparison API (face verification not publicly available)
SPEED (API RESPONSE TIME)
Ever AI provides a self-hosted, on-premise API that eliminates additional networking latency and transfer time. Achieve even faster speeds with our industry-first SDKs.
* Speed: the time it takes the API to respond with a comparison score between two or more faces
** Clarifai: response time likely understated. API returns feature embeddings only and does not capture latency for distance calculations.
OUr Offerings
Ever AI provides a wide variety of face recognition and attribute identification services, perfect for mixing with CRM data to personalize experiences.
FACE DETECTION
Find human faces in your photos and videos and return bounding box coordinates.
FACE CLUSTERING Group similar faces together, based on thousands of facial data points.
FACE VERIFICATION Compare two faces and determine the probability they belong to the same person.
FACE IDENTIFICATION Compare a singular face against a collection of labeled faces and return matches with confidence scores.
EMOTION DETECTION Identify the emotional state of faces, such as happiness, sadness, anger, surprise, and more.
AGE DETECTION Estimate the age range of the person, based on their image.
GENDER DETECTION Determine whether a person is male or female.
ETHNICITY DETECTION Determine the probability that a face is of a particular ethnicity.
Our Products
Ever AI delivers self-hosted APIs and mobile SDKs for customers to access and leverage our best-in-class face recognition technology.
SELF-HOSTED API
- Full control of your data and customer privacy
- Hosted on-premise in your own environment
- Lightning fast response time
- Easy integration using Docker
- REST-compliant API
MOBILE SDK (iOS & ANDROID)
- Full control of your data and customer privacy
- Offline capabilities on any device or hardware
- Fast processing times (no asset uploads required)
- Loadable onto any mobile client (<20MB binary size)
Solutions
Explore how our industry-leading face recognition platform seamlessly integrates with your existing business applications, across a range of industries.
