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End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
No-code automated trading platform, now part of SoFi, to build, AI-generate, backtest and auto-execute stock and ETF strategies.
AI app builder that turns words into real coded mobile apps, sites and tools, with GPT-5 and 40+ integrations for makers.
Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.
API intelligence platform discovering, scoring and correlating API design, security and runtime signals into one production-readiness score.
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- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦AI-assisted natural-language strategy creation
- ✦No-code visual strategy editor
- ✦Backtesting and portfolio analytics
- ✦Automated execution and rebalancing
- ✦Prebuilt and community strategy library
- ✦Retirement (IRA) account support
- ✦Natural-language to coded apps
- ✦Mobile, web and tool generation
- ✦GPT-5 and 40+ integrations
- ✦Database, web search and image generation
- ✦Automated testing and error logs
- ✦Custom domains and code export
- ✦Spreadsheet interface inside Jupyter notebooks
- ✦AI-generated Python code from spreadsheet actions
- ✦Runs on customer infrastructure (no data sent to Mito)
- ✦Bring-your-own LLM API keys
- ✦Excel-to-Python conversion
- ✦Compatible with existing Jupyter extensions
- ✦Automatic API discovery from source code, gateways and live traffic
- ✦Composite API Heartbeat score combining design, security and performance signals
- ✦Real-time API vitals like latency, error rates and throughput
- ✦Cross-signal correlation linking security findings to design and usage context
- ✦Design-to-runtime drift tracking against OpenAPI specs
- ✦Executive dashboards for non-technical risk reporting
- ✦Higher tiers add API security, governance and an AI assistant
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →Build and test algorithmic trading strategies
- →Automate stock and ETF trades
- →Invest in prebuilt strategies
- →Run tax-smart trading in retirement accounts
- →Building apps without writing code
- →Prototyping products quickly
- →Adding AI and integrations to apps
- →Publishing apps to custom domains or the App Store
- →Analysts automating Excel-style reports without hand-writing code
- →Data scientists speeding up exploratory data analysis
- →ML engineers iterating on feature engineering in notebooks
- →Enterprises needing private, self-hosted AI coding assistance
- →Platform teams needing a single inventory of all APIs across clouds and gateways
- →Security teams correlating vulnerabilities with API design and usage risk
- →Engineering leaders monitoring overall API health via one composite score
- →Compliance teams tracking documentation and governance gaps
- →Organizations wanting predictive alerts before API incidents occur