Connect AI to Your Databases.
Accurately & Securely.
TernoDBI is the intelligent metadata layer that eliminates AI hallucinations. We translate messy schemas into clear business definitions delivering perfectly accurate insights while keeping your actual database completely untouched.
Connects natively to your essential data infrastructure
The Bottleneck in Database AI
Raw databases confuse LLMs. Without a semantic metadata layer, teams struggle with messy schemas and unreliable AI outputs.
Messy Business Definitions
The same metric means different things across teams and reports. 'Revenue' in marketing isn't the same as 'Revenue' in finance.
Manual Sanitization
Metadata cleanup is slow, repetitive, and rarely accurate. Teams spend more time preparing data than analyzing it.
Governance Gaps
Poor metadata leads to incorrect insights, AI hallucinations, and a complete loss of trust in data tools.
How TernoDBI Works
Transform technical metadata into clear business definitions in four simple steps.
Connect and understand
Securely connects to your databases and automatically learns schemas, structures, and usage patterns.
Build a semantic layer
Transforms cryptic technical metadata into clear, human-readable business definitions and descriptions.
Standardize definitions
Ensures absolute consistency so that every team, report, and AI agent operates from the same verified terminology.
Govern continuously
Keeps metadata entirely accurate and hides irrelevant or sensitive columns as your underlying schemas naturally evolve.
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Everything You Need, Built In
A complete toolkit for secure database intelligence—from query protection to multi-source connectivity.
SQLShield
Automatic read-only enforcement and AST validation to mechanically prevent destructive statements and SQL injection.
Access Control
Scoped API tokens with expiration dates, role-based permissions, and secure authentication for every AI request.
Multi-DB
One unified API supporting PostgreSQL, MySQL, Snowflake, BigQuery, Databricks, Oracle, and SQLite.
Native MCP
First-class support for the Model Context Protocol featuring dedicated Admin and Query servers for LLMs.
Schema Enrichment
Generate descriptions, rename tables or columns, and enhance metadata so LLMs understand your schema better.
Privacy Controls
Hide specific tables/columns from LLMs entirely, utilize public aliases, and automatically apply row-level data filtering.
Smart Pagination
Cursor-based result pagination handles massive datasets efficiently without overwhelming AI agents or the database.
Multi-Source
Connect multiple datasources simultaneously and query securely across them from a single, centralized API layer.
Built for accuracy, not guesswork
Generic AI tools fail because they don't understand the nuance of your specific data. TernoDBI fixes this.
Schema-aware intelligence
Terno understands your actual database structure, relationships, constraints, and joins natively.
Semantic validation
AI queries and definitions are firmly validated against real business meaning, reducing errors before execution.
Context-driven reasoning
Accuracy naturally improves as Terno provides your agent with enriched metadata on how your data is actually used.
Transform Data for AI.
Leave the Database Untouched.
Directly exposing raw databases to LLMs causes hallucinations. TernoDBI solves this through an intelligent metadata layer corralling messy schemas without altering a single byte of your actual database.
The Risk of Raw Access
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Cryptic Schemas
Column names like cust_dt_v2 confuse AI agents, leading to high hallucination rates and incorrect assumptions.
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Information Overload
Feeding irrelevant data (like system logs or internal IDs) distracts LLMs and wastes expensive token context windows.
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Accidental Modification
Running raw AI queries directly on the structural schema invites risk, potential downtime, and compliance violations.
The TernoDBI Metadata Layer
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Semantic Enrichment
TernoDBI generates clear, human-readable descriptions for every table and column, guiding the LLM to perfect precision.
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Intelligent Hiding
We mask unused or distracting columns dynamically. The AI simply never sees data that isn't relevant to its task.
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Zero Database Impact
All enrichment occurs entirely at the metadata layer. Your underlying physical database structure remains untouched and secure.
Built for Enterprise Confidence
Self-Hosted
Deploy inside your own cloud or on-premise. No external dependencies. Your infrastructure, your rules.
Data Shared
We never access, store, or train on your data. Your schemas and queries stay entirely within your control.
Databases Supported
PostgreSQL, MySQL, Snowflake, BigQuery, Databricks, Oracle, and SQLite—all through one API.
Contact Us
Have a question, need a demo, or want to work with us? Reach out and our team will get back to you shortly.
Get in touch
We’re here to help you with data insights, onboarding, pricing or anything else.
reachus@terno.ai
Phone
+1 (412) 568-3901
Address
9450, SW Gemini Dr, PMB 90168, Beaverton, Oregon 97008-7105, United States