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Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
AI sales assistant that auto-fills CRM records, drafts follow-up emails, and summarizes calls for revenue teams.
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦No-code visual agent builder
- ✦Company knowledge search across docs and wikis
- ✦Scheduled and recurring agent automations
- ✦Model-agnostic access to major AI models
- ✦Browser extension integration with 30,000+ apps
- ✦Data analysis of spreadsheets and reports
- ✦Enterprise SSO/SCIM/SAML and dedicated deployment
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Call recording, transcription and AI meeting summaries
- ✦Conversational Q&A over past calls and deals
- ✦Automated CRM field updates
- ✦AI-drafted follow-up emails and task creation
- ✦Deal risk and buyer-intent tracking
- ✦Rep coaching and performance insights
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Automating recurring reports and workflow tasks
- →Searching internal company knowledge with AI agents
- →Deploying AI copilots for sales, support, or legal teams
- →Running enterprise AI with strict data governance requirements
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Account executives automating call follow-up and CRM entry
- →Sales managers coaching reps from call recordings
- →RevOps teams keeping CRM data clean
- →Sales leaders inspecting pipeline health and forecasts