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Low-code customer identity and access management (CIAM) platform handling authentication and user management for SaaS apps.
ImageKit is an image and video optimization and delivery API with a DAM and creative automation for developers and teams.
Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Low-code CIAM identity layer
- ✦Authentication and authorization for SaaS apps
- ✦Self-service user and org management
- ✦Security across all product entry points
- ✦Agentic AI access layer (Agen.co)
- ✦Real-time image/video optimization and URL-based transforms
- ✦AI and GenAI transforms (smart crop, background removal, generative fill, upscaling)
- ✦Global CDN delivery with sub-50ms response
- ✦AI-powered digital asset management
- ✦Creative automation for on-brand banners at scale
- ✦SDKs and integrations for major stacks and CMSs
- ✦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
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- ✦Asset-based pipeline orchestration
- ✦Built-in lineage and data-quality checks
- ✦Data catalog with asset metadata
- ✦Native dbt, Snowflake and Fivetran integrations
- ✦Branch deployments and hybrid deployment
- ✦Open-source core plus managed Dagster+ cloud
- →Adding login and auth to a SaaS product
- →Managing customer users and organizations at scale
- →Securing multiple product entry points
- →Exposing a product safely to AI agents
- →Speeding up website and app media performance
- →Optimizing e-commerce and media images and video
- →Centralized digital asset management and collaboration
- →Adaptive video streaming
- →Generating thousands of on-brand banner variations
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
- →Orchestrate ETL/ELT and dbt pipelines
- →Monitor data health and lineage
- →Build AI/ML data pipelines
- →Run reliable, observable data platforms