Governed data. Grounded AI. Zero SQL hallucinations — Provide your agents and applications with structured, validated data access for consistent metrics and insights you can trust.
One API replaces 20+ custom endpoints. Ship analytics into your products in hours.
MCP tools to let AI agents query your data with 95%+ accuracy.
The Foundation
A translation layer between business language and database structures. Model once, use everywhere.
Business Definitions
Context in the same language your users speak and understand
Metrics
Governed, consistent, and validated KPIs. Single source of truth.
Relationships
Dynamic joins for maximum performance and flexibility
A semantic layer sits between your analytics data and your agents and applications, providing the context that humans and AI need to make informed decisions.
Business-friendly names
Meaningful labels and context for your data
Centralized metrics
One source of truth for all calculations
Security & access control
Row-level and column-level permissions
Rich business context
Descriptions and definitions for autonomous discovery
Consistent aggregations
Same results across every agent and tool
Query abstraction
AI-native data queries. Zero SQL
Simple 3-Step Process
Go from raw databases to production-ready analytics in minutes, not months.
Define your semantic model with dimensions, metrics, relationships, and necessary context.
Point DataPlexer at your analytics databases.
AI-native queries. Get consistent results. No SQL, no endpoints to maintain, no complexity.
A complete semantic layer with batteries included — from model definition to AI-powered analytics.
Define your semantic models in git-friendly format. Fields, metrics, relationships, and business context — all in one place.
Send structured JSON queries instead of SQL. DataPlexer handles joins, aggregations, and dialect differences automatically.
Built-in period-over-period analysis. Get current, previous, and variance metrics in a single simplified query.
Dynamic SQL generation with custom templates. Context-aware transformations that adapt queries based on the individual request.
Built-in tenant isolation with scoped connections. One deployment serves all your customers securely.
Purpose-built MCP tools let AI agents discover models, validate queries, and access data with 95%+ accuracy — no SQL hallucination.
A single query powers any visualization
{
"dimensions": ["region"],
"measures": [
{ "field": "revenue" }
],
"filters": [
{ "year": "2026" }
]
}Use Cases
See what teams achieve with DataPlexer across different use cases.
Ship analytics features in your product without building a data infrastructure. One API powers every chart, filter, and dashboard.
Give AI agents reliable access to your data. Structured queries and semantic context eliminate the hallucination problem.
DataPlexer's MCP tools guide AI agents through a structured workflow — from natural language to accurate results, in a continuous loop.
One API call replaces dozens of custom endpoints. Your app sends a query; DataPlexer handles the rest.
Who It's For
From data engineers who define models to executives who consume insights — DataPlexer empowers your entire organization.
Define models once and reuse them across your organization. Govern metrics in a central semantic layer.
Pain: Different metrics and definitions across teams and tools
Win: Single source of truth for metrics and definitions
“No more confusion or misalignment across the various BI tools, dashboards, and reports.”
One API endpoint. One client library. Permissions management. 97% less code per dashboard.
Pain: 20+ endpoints per dashboard
Win: Single API, automatic state management
“We went from 1,800 lines per dashboard to 60. One API handles everything.”
Ask questions in plain language through AI assistants connected to DataPlexer. Get reliable, governed insights without writing SQL.
Pain: Wait 2-4 weeks for reports
Win: Instant answers via AI chat
“I ask the assistant a question and get a trusted answer in seconds — no tickets, no waiting.”
MCP tools for model discovery. Semantic context for AI comprehension. Structured queries eliminate hallucination.
Pain: ~60% text-to-SQL accuracy
Win: 95%+ accuracy with MCP tools
“Our AI agent discovers models, constructs valid queries, and gives accurate answers.”
Single source of truth. Consistent metrics. Empower your teams with reliable data for confident decision-making.
Pain: Conflicting metrics across tools
Win: One number, one truth, everywhere
“Everyone's looking at the same data, defined the same way.”
Start building data products on a semantic layer that your entire team can trust.
Get early access to DataPlexer and help shape the future of the semantic layer.