On-Device AI With Confidence
On-Device AI With Confidence
On-Device AI With Confidence
On-Device AI With Confidence
Ship better on-device AI features to your users, faster and with less hassle. Instantly test across ~100 real devices and deploy optimal models.
Ship better on-device AI to your users, faster and with less hassle.
Fast and robust on-device AI feature development
Robust on-device AI feature development
Robust on-device AI feature development
Robust on-device AI development
Immediately understand model performance across ~100 real devices. Iterate faster and de-risk deployment to users in production.
Test model performance across ~100 real devices. Iterate faster and de-risk deployment to users in production.
Save time on tedious and cumbersome tasks
Save time on tedious and cumbersome tasks
Save time on tedious and cumbersome tasks
Save time on tedious tasks
Offload spotting on-device performance issues, debugging models and maintaining test devices. Spend more time on higher leverage work.
Offload debugging performance issues and maintaining test devices. Spend more time on higher leverage work.
Oleksii Tretiak
Head of R&D at Skylum
RunLocal has reduced the time required for on-device model development from weeks to days, making it possible to assess model quality and performance at scale on different hardware and operating systems. With a high degree of integration with our codebase, a seamless model conversion service and outstanding technical support, RunLocal is a reliable contributor to our model deployment process.
RunLocal has reduced the time required for on-device model development from weeks to days, making it possible to assess model quality and performance at scale on different hardware and operating systems. With a high degree of integration with our codebase, a seamless model conversion service and outstanding technical support, RunLocal is a reliable contributor to our model deployment process.
Testing on many devices
Testing on many devices
Testing on many devices
Testing on many devices
We buy devices every month and maintain ML frameworks carefully, so you don't have waste your time and money.
We buy devices every month and maintain ML frameworks carefully, so you don't have waste your time and money.
We buy devices every month and maintain ML frameworks carefully, so you don't have waste your time and money.
Understand trade-offs
Understand trade-offs
Understand trade-offs
Gauge trade-offs
Our evaluation tooling makes interpreting model quality and performance data faster and easier.
Our evaluation tooling makes interpreting model quality and performance data faster and easier.
Our evaluation tooling makes interpreting model quality and performance data faster and easier.
Deploy better models
Deploy better models
Deploy better models
Deploy better models
Make more informed development decisions and de-risk deployment issues with your users in production.
Make more informed development decisions and de-risk deployment issues with your users in production.
Make more informed development decisions and de-risk deployment issues with your users in production.
Backed By
Backed By
Backed By
Deploying on-device AI?
Deploying on-device AI?
Deploying on-device AI?
Deploying on-device AI?
Reach out to ship models more confidently and without the hassle
