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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
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.
Unified API that gives AI agents web scraping, search, document extraction, and social/enrichment data through one billed endpoint.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
No public pricing
Free trial available
Free trial available
No public pricing
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦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
- ✦Unified API for search, scrape, and extraction
- ✦Smart routing across multiple data providers
- ✦Document and PDF structured extraction
- ✦Social and media data (YouTube, TikTok, LinkedIn, reviews)
- ✦People and company enrichment
- ✦MCP and CLI surfaces for AI tools
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →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
- →Feeding AI agents reliable external web data
- →Replacing several scraping and search subscriptions
- →Extracting structured data from PDFs and documents
- →Enriching leads with company and email data
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources