On-Device AI With Confidence
On-Device AI With Confidence
On-Device AI With Confidence
On-Device AI With Confidence
Instantly test model performance across many real devices. Ship more efficient models to reach more users and provide better experiences.
Instantly test model performance across many real devices. Ship more efficient models to reach more users and provide better experiences.
Robust on-device AI feature development
Robust on-device AI feature development
Robust on-device AI feature development
Robust on-device AI development
Easily test models across many real devices, spot model performance issues before shipping to your users, and iterate with more confidence.
Easily test models across many real devices, spot model performance issues before shipping to your users, and iterate with more confidence.
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
Avoid manually debugging obscure conversion errors and maintaining test devices. Spend more time on higher leverage ML work.
Avoid manually debugging obscure conversion errors and maintaining test devices. Spend more time on higher leverage ML 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.
Test on many devices
Test on many devices
Test on many devices
Test 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. Make more informed development decisions.
Our evaluation tooling makes interpreting model quality and performance data faster and easier. Make more informed development decisions.
Our evaluation tooling makes interpreting model quality and performance data faster and easier. Make more informed development decisions.
Deploy better features
Deploy better features
Deploy better features
Deploy better features
Ship better experiences to existing users, expand your your market size to users with worse devices, and prevent issues with certain users in production.
Ship better experiences to existing users, expand your your market size to users with worse devices, and prevent issues with certain users in production.
Ship better experiences to existing users, expand your your market size to users with worse devices, and prevent issues with certain users in production.
Backed By
Backed By
Backed By
Your team deploys on-device AI?
Your team deploys on-device AI?
Your team deploys on-device AI?
Your team deploys on-device AI?
Leverage our enterprise features, including extra model/data security, further model optimization features, and direct access to the co-founding team.
