Connect your data, teach AI your business, and analyze it with natural language.
One natural-language interface across every major data platform.
No screenshots needed. Watch the full product in action โ from the semantic studio canvas to anomaly monitoring and interactive dashboards.
Power BI-style relationship building. Drag a column onto another table's column and the join line appears instantly.
Give business-friendly names and synonyms, then toggle tables on/off per role so the AI only sees approved data.
Spot unusual data patterns instantly and trigger automated notifications straight to Email or Slack.
Experience seamless translation from natural language to live, interactive data visualizations and executive dashboards.
Run the full agentic workspace on your own infrastructure โ your data, your keys, your uptime.
Drop Data Convo straight into your own AWS, Azure, or private server in under 2 minutes. Your database credentials and queries never leave your VPC.
Beyond basic text-to-SQL. Our intelligent agents handle multi-table joins, live schema introspection, autonomous anomaly detection, and instant alerting.
Plug in your own OpenAI, Anthropic, or OpenRouter API keys. Total control over your LLM usage with zero platform markup or token fallback.
Model your data with a visual semantic layer, generate dashboards automatically, and detect anomalies before they cost you.
Connect, profile, and visually link your database tables with drag-and-drop relationships, aliases, business logic, and role-based toggles. Bits pop and snap into place as your schema becomes a governed AI-ready model.
Ask a question and watch the AI assemble live charts, pivots, and KPI cards from your verified semantic layer. Every widget is re-executable and always reflects current data.
Continuous automated monitoring for nulls, volume spikes, and type mismatches. Live pulse indicators flag metric shifts the moment they deviate from the historical baseline.
Specialized agents orchestrate your analytics workflow โ from secure SQL to data science to live market research.
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Built for ISO 27001-aligned deployments โ privacy, authentication, and authorization are first-class citizens.
A self-orchestrating team - each specialist hands its output to the next for a complete, reliable answer.
Automatically translates natural-language intent into secure, optimized database queries with strict syntax guardrails and schema awareness.
Independently executes statistical analysis and data-science routines using safe Python sandboxing (numeric_only=True).
Dynamically triggers real-time web search to enrich internal data queries with external market context and live public data.
Context passes seamlessly between specialists - no human in the loop.
Vector embeddings rely on fuzzy matching and struggle with aggregations, real-time syncs, and multi-hop joins. Stop trying to force document-search tech onto structured data.
RAG forces LLMs to do math on retrieved text chunks (causing hallucinated numbers). Data Convo generates exact SQL, letting your database engine compute 100% accurate aggregations.
Vector DBs require constant, expensive data pipelines. Data Convo queries your live schema directly โ meaning your insights are never out of date.
RAG crashes when trying to stuff thousands of database rows into an LLM context window. We only pass schema metadata, allowing you to query billions of rows safely.
Embeddings have zero concept of foreign keys. Our engine respects physical FK constraints so multi-hop joins never break.
Empower marketing, sales, and operations teams with self-serve data โ while keeping confidential finance, HR, and admin schemas strictly protected.
Turn tables and columns ON or OFF per user role. Ensure marketing queries campaign tables while finance keeps payment and revenue schemas isolated.
Lock in pre-approved business metrics, custom aliases, and formula definitions so non-technical teams always get standardized, trusted answers.
Eliminate data engineering tickets. Give teams exploratory access to approved data streams with full confidence that security boundaries cannot be crossed.
We don't prompt harder. We structure smarter. Six enterprise-grade differentiators separate Data Convo from generic AI wrappers.
We read actual database constraints (sys.foreign_keys) โ not guess them. Primary keys, foreign keys, and column types become ground-truth guardrails.
Prefix-based table grouping keeps domains separate. Query olist_orders without ever polluting from blinkit_orders.
Interactive drag-and-drop relationship editor. Zoom, pan, draw joins between columns, and export a validated join graph the AI can trust.
Bring Your Own Model. Connect Ollama, Azure OpenAI, AWS Bedrock, or local vLLM. Your schema and data never touch our servers โ zero retention.
Admins define canonical metrics once so no two teams get different answers. Active Users = users with status = 'active' and last_login > 30 days. Revenue = SUM(quantity ร unit_price) minus refunds.
Eliminate ad-hoc query chaos. Define your business logic once, apply granular column-level permissions (e.g., hiding HR data from Marketing), and ensure every team gets consistent, trusted results.
See how Data Convo compares against raw LLM prompts, RAG/vector databases, and legacy YAML semantic layers.
| Capability | Raw LLM Prompts | RAG / Vector DBs | Legacy YAML (dbt) | Data Convo Engine |
|---|---|---|---|---|
| Join & Aggregation Accuracy | โ (~45%) | โ Fuzzy Math | โ High | โก 100% Deterministic |
| Setup Time to First Insight | โ Instant | โ Weeks of Syncs | โ Months of YAML | โก < 5 Minutes |
| Multi-Hop Foreign Key Routing | โ Hallucinates | โ Relational Blind | โ ๏ธ Manual Config | โก Auto Physical Introspection |
| Prefix / Namespace Isolation | โ | โ | โ ๏ธ Partial | โก Prefix-Aware Router |
| Role-Based Table & Column Masking | โ | โ | โ ๏ธ Complex Config | โก Granular Admin Toggles |
| BYOM / Data Sovereignty (GDPR) | โ Public API | โ Vendor Lock | โ ๏ธ Vendor Lock | โก Complete BYOM Support |
| Visual ERD Relationship Editor | โ | โ | โ Code Only | โก Interactive Drag & Drop |
Data Convo sits at the center โ introspects your schema, teaches AI your business, and stays deterministic via SQL.
A fully automated pipeline that turns your raw database into an AI-ready semantic model.
Enter your database credentials. We support SQL Server, MySQL, and PostgreSQL.
We introspect tables, columns, and PK/FK constraints automatically.
Confirm joins in the visual ERD canvas โ drag columns to link tables, toggle table access per role, and define your business logic so every metric is trusted.
Chat with your data. Get validated SQL and live results in seconds.
