| What it does | End-to-end platform for data labeling, model training, and deployment of computer vision models
| Continuous performance testing for your CI that catches regressions before they reach production
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| FR
|
|---|
| Pricing model | Not given
| Freemium
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - AI-powered image annotation with auto-annotation and quality control
- Drag-and-drop model training without code
- Production API deployment in minutes
- Edge and cloud deployment support
| - Automatic benchmarking in CI
- Low-noise performance data with variance below 1%
- AI-enhanced differential flamegraphs
- Automated performance fixes with Optimization Agent
- GitHub integration
- CPU, memory, and wall-time profiling
- Bare-metal macro runners for isolated testing
- Support for Rust, Python, Node.js, C++, Go, and Java
- Performance gating and merge blocking
|
|---|
| What makes it different | - No-code platform makes computer vision accessible to non-technical teams
- 10x faster dataset preparation with AI-assisted annotation
- End-to-end workflow from data to production without switching tools
- Support for diverse vision tasks and data types
- Trusted by over 6000 teams worldwide
| - AI automatically identifies bottlenecks and proposes fixes
- Integrates seamlessly into existing CI workflows and benchmark frameworks
- Free for open-source projects and up to 5 users on private repos
- Detects regressions before they reach production
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 38 ▲ +1 (up) since last check | 66 ● no change since last check |
|---|
| Trust Flow (Majestic) | 10 | 18 |
|---|
| Citation Flow (Majestic) | 40 | 37 |
|---|
| Referring domains (Majestic) | 587 | 534 |
|---|
Datature
CodSpeed