Enable your internal users to
Make Better Business Decisions 10x Faster
and lessen the burden on your data team
Business Users expect conversations with their data as easy as ChatGPT. Ekaya provides a safe and secure AI Data Liaison that provides an industry-standard MCP interface to your internal databases without any data leaving your data boundary. Your internal constituents get a 10x performance boost while reducing the requests for ad-hoc queries to your data team by half with all of the enterprise corporate and governance needs such as SSO with your Identity Provider, SIEM logging and Auditability.
Faster Response Times
to ad-hoc queries
Fewer Requests
to the data team
Setup Time
to get started
Your AI Data Liaison
Instead of issuing ad-hoc requests to the data team, Ekaya directly empowers business users to get insights, visualizations, and automations themselves
User asks a question
Business users ask in plain English via Claude, ChatGPT, or any MCP client
AI crafts a safe query
The Liaison uses the ontology and schema to generate validated, read-only SQL
Admin reviews & approves
New queries go to Pending Approval. Admins review, approve, or reject from their own MCP client
Everything is audited
Every query execution, ontology change, and approval is logged for compliance
Curated queries your team can trust
Admins create and maintain a library of approved SQL queries that business users can execute through natural language. Each query is validated, parameterized, and safe to run.
- ▸Parameterized queries prevent injection
- ▸Business context attached to every query
- ▸Users execute via natural language — no SQL needed
AI suggests, humans approve
When a business user's MCP client needs a new query, the AI Data Liaison suggests it for admin review. Admins approve, reject with feedback, or edit before approving — all from their own MCP client.
- ▸AI agents suggest queries on behalf of users
- ▸Admin review from Claude Desktop or any MCP client
- ▸Approved queries instantly available to all users
Full visibility into every action
Every query execution, ontology change, schema modification, and approval decision is logged with timestamps and user attribution. Filter by time range, source, or user for SIEM integration.
- ▸Query executions, failures, and alerts
- ▸MCP event tracking for compliance
- ▸Filter by user, time range, or destructive operations
40+ MCP Tools
Full tool suite for business users and admins
Ontology Learning
AI improves query accuracy from user interactions
Approval Workflow
AI suggests, admins approve from any MCP client
Audit Trail
Every action logged for SIEM and compliance
Supercharge every team with AI
Data in silos? No problem!
Set up independent, isolated instances of Ekaya for each team and their specific datasources
Marketing
Query campaign performance across all channels directly. Instantly analyze ROI, attribution, and customer journeys without waiting for data team reports.
Sales
Access real-time pipeline data. Build custom forecasts, identify at-risk deals, and analyze win/loss patterns using natural language queries.
Product
Connect usage data to Python notebooks for instant feature analysis. Track adoption rates, user behavior patterns, and experiment results without SQL knowledge.
Operations
Monitor system health and operational metrics via AI chat. Detect anomalies, predict capacity needs, and automate reporting across your infrastructure.
Support
Analyze ticket trends and customer sentiment in real-time. Use AI to identify common issues, track SLA performance, and predict escalations.
Analytics
Build self-service dashboards that enable stakeholders to explore metrics independently through conversational AI without building new pipelines.