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Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Automated service discovery and dependency topology mapping
- ✦SLO-based alert triage and prioritization
- ✦AI-driven root cause analysis with pre-built workflows
- ✦Human-approved remediation with full audit trails
- ✦Works alongside existing tools like Datadog, Grafana, New Relic
- ✦Governance and policy enforcement layer for agent actions
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦Natural language to SQL conversion
- ✦Database schema integration for accurate queries
- ✦Supports PostgreSQL, MySQL, Oracle, SQL Server and more
- ✦Insights with queries, results, visualizations and explanations
- ✦Desktop app for local database connections
- ✦Public API for custom integrations
- ✦Natural-language chat interface over connected databases and files
- ✦Automatic SQL query generation from plain-English requests
- ✦Direct SQL entry for technical users
- ✦Support for CSV, Excel, PDF, DOC, and DOCX uploads
- ✦Downloadable chart and table outputs
- ✦Slack and website chatbot embedding with UI customization
- →SRE teams reducing mean-time-to-resolution during incidents
- →Platform engineers wanting policy-governed AI infrastructure management
- →Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Letting business teams self-serve data questions without SQL skills
- →Generating ad hoc SQL queries faster for analysts
- →Embedding a data Q&A chatbot into Slack for teams
- →Consolidating file and database sources into one chat interface