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All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.
AI image-based font finder that matches uploaded text images against a huge commercial and free font database.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
- ✦Drag-and-drop form builder with conditional logic
- ✦Workflow automation with 60+ node types and 400+ integrations
- ✦Prebuilt and custom AI agents for tasks like lead scoring
- ✦Relational database with AI-enriched columns
- ✦Drag-and-drop email builder with AI-drafted content
- ✦Company and contact enrichment and web research tools
- ✦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)
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Open hybrid data lakehouse
- ✦Connects data across clouds and on-prem
- ✦Governance, lineage and access controls
- ✦Business-context enrichment
- ✦AI-ready data for analytics and models
- ✦AI-driven font matching from uploaded images
- ✦Database of over 1.2 million free and commercial fonts
- ✦Image editor to crop, adjust brightness, and split letters
- ✦Similar font suggestions with purchase or download links
- ✦Font pairing generator and webfont generator tools
- ✦PDF font finder
- ✦Browser extension for identifying fonts on webpages
- →Capturing and automatically routing sales leads
- →Building onboarding or support-triage workflows
- →Running AI-driven lead scoring and qualification
- →Sending personalized, data-merged email campaigns
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Unifying fragmented enterprise data
- →Governing data for AI workloads
- →Moving AI pilots to production
- →Powering analytics with trusted data
- →Identifying a font seen in a design, ad, or webpage screenshot
- →Finding free or commercial alternatives to a specific font
- →Separating and analyzing cursive or script fonts for identification
- →Sourcing font pairings for a design project