Database AI Integration

Ask Your Database Anything.
Get an Answer in Seconds.

We add an AI layer to your database so your team can ask questions in plain English, get anomalies flagged before they become problems, and search across millions of records without a data analyst in the loop.

14 day delivery
Read only by default
Full source code
Calculate Your AI ROIor book a AI integration review→

AI Readiness Assessment

See which database AI features will have the biggest impact on your team's data access and reporting speed.

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What We Build

An AI intelligence layer over your existing database that makes your data accessible, observable, and searchable to every person in your company.

Natural language to SQL that converts plain English questions into accurate database queries without writing code
Automated reporting that generates and distributes formatted reports on a schedule without analyst involvement
Anomaly detection that monitors key metrics and alerts the right team when values deviate from historical patterns
AI powered full text and semantic search across database records including unstructured text fields
Auto generated data summaries and narrative commentary attached to dashboards and exports
Query audit log that tracks every AI generated query for security review and performance tuning
Trend forecasting on key business metrics using time series models trained on your historical data
Cross table intelligence that surfaces relationships and correlations your team has not explicitly looked for
Scheduled insight digests delivered to email or Slack with AI commentary on the week's most significant data changes
Data quality monitoring that flags nulls, duplicates, and schema drift before they corrupt downstream reports
Role based query interface so executives, ops, and finance each see a tailored view with appropriate data access
Support for PostgreSQL, MySQL, MSSQL, BigQuery, and Snowflake with read replica routing for production safety

Measured ROI

92% faster

Report Generation Time

Reports that took an analyst 3 hours to build are generated in under 15 minutes by the AI layer and delivered automatically

Self serve

Data Questions Answered

Business teams answer their own data questions without waiting for analyst availability, eliminating the typical 2 to 3 day backlog

24 hrs sooner

Anomaly Response Speed

Issues that surface during weekly reviews are caught within hours of occurring, giving teams a full day head start on resolution

Zero

SQL Skills Required

Any team member can query the database in plain English, opening data access to the entire company without SQL training

Tech Stack

PostgreSQL / MySQL
Database layer
OpenAI GPT-4o
AI backbone
LangChain
Query orchestration
Node.js
API runtime
Pinecone
Semantic search
Redis
Query cache
Metabase
Dashboard layer
Datadog
Query monitoring

14 Day Build Timeline

Day 1 to 2

Database Audit and Schema Mapping

Review your database schema, document table relationships, identify the most queried data entities, and define access controls for the AI query layer.

Day 3 to 4

Read Replica Setup and Connection Layer

Configure a read replica or query routing layer so the AI never touches production writes, and establish the secure connection pipeline with query logging.

Day 5 to 8

Natural Language Query Engine

Build the natural language to SQL translation layer, test accuracy across your most common query patterns, and implement the query review interface for unfamiliar requests.

Day 9 to 10

Anomaly Detection and Alerting

Set up statistical baselines for your key metrics, build the anomaly detection models, and configure alert routing to email or Slack with AI generated context.

Day 11 to 12

Automated Reporting and Semantic Search

Build the scheduled report generation pipeline, configure delivery channels, and deploy the semantic search index over your unstructured text columns.

Day 13 to 14

Deploy and User Onboarding

Ship to production, run onboarding sessions with each team using the interface, deliver admin documentation, and begin the 30 day support window.

Fixed Project Price

$4,500

14 day delivery • Full source code • 30 day support

Basic integrations from $2,200 • Enterprise from $15,000

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See a Related Project We Built

We built a real time operations dashboard with AI powered anomaly detection and natural language querying for a logistics company managing thousands of daily records.

Read the Case Study

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Frequently Asked Questions

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50+ products shipped$10M+ funding raised2-week delivery

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