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Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
Unified API gateway to 500+ AI models (GPT, Claude, Sora, image/video) with OpenAI-compatible endpoints and discounted usage.
Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.
No public pricing
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No public pricing
No public pricing
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- ✦Local deep packet inspection agent
- ✦Application identification data feeds
- ✦VPN and Tor IP datasets
- ✦Network informatics and analytics
- ✦Developer documentation
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- ✦Single OpenAI-compatible API for 500+ models
- ✦Chat, image, video and audio models
- ✦Discounted per-request pricing
- ✦One dashboard for keys, quotas and usage
- ✦Multi-region routing and failover (99.9% uptime)
- ✦Multiple payment methods incl. crypto
- ✦Managed headless browsers (browser-as-a-service)
- ✦Drop-in Puppeteer/Playwright support
- ✦Anti-bot bypass and CAPTCHA solving
- ✦Screenshot, PDF and download APIs
- ✦MCP server for AI agents
- ✦Self-hosted and cloud deployment
- ✦Live debugger and observability
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Classify application traffic on a network
- →Detect VPN and Tor usage
- →Feed DPI data into security and analytics tools
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud
- →Accessing many AI models via one API
- →Cutting AI model API costs
- →Building multimodal AI apps
- →Consolidating AI billing and keys
- →Run web scraping without infrastructure headaches
- →Automate browser workflows and tests
- →Give AI agents a reliable browser
- →Generate screenshots and PDFs via API
