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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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autify.com
✓ verifiedFreemium
AI software testing platform whose autonomous agent Aximo generates and runs end-to-end tests across web, mobile, and desktop apps.
👁 80K/mo
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Super Annotate
✓ verifiedPaid
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
👁 406K/mo
Pricing
No public pricing
No public pricing
No public pricing
Free: $0 (2,000 one-time credits)
Starter: $99/mo billed annually (6,000 credits/mo)
Team: $450/mo billed annually (30,000 credits/mo)
Free trial available
No public pricing
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
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- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Aximo autonomous AI testing agent
- ✦Natural-language and visual test generation
- ✦End-to-end, regression, and visual testing
- ✦Web, mobile, and desktop coverage
- ✦Credit-based, concurrency-tiered plans
- ✦Managed QA and on-prem options
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Automating regression testing without scripting
- →Replacing manual QA workflows
- →Testing Salesforce, Canvas/WebGL, and mobile apps
- →Scaling test coverage for engineering teams
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
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