AI-native
semantic layer.

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.

Get Started Join the Beta

Embedded Analytics

One API replaces 20+ custom endpoints. Ship analytics into your products in hours.

Agentic BI

MCP tools to let AI agents query your data with 95%+ accuracy.

Your AI Assistant, powered by DataPlexer

The Foundation

What is a Semantic Layer?

A translation layer between business language and database structures. Model once, use everywhere.

BI tools, AI agents and custom applications query one semantic layer of business definitions, metrics and relationships, which in turn reads databases, warehouses and APIs. BI Tools AI Agents Custom Apps SEMANTIC LAYER Business Definitions Context in the same language your users speak and understand Metrics Governed, consistent, validated KPIs. Single source of truth. Relationships Dynamic joins for maximum performance and flexibility Databases Warehouses APIs

What it provides for humans and for AI

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.

Model once, use everywhere — the same governed definitions serve a dashboard and an autonomous agent.

For humans

Business-friendly names

Meaningful labels and context for your data.

For humans

Centralized metrics

One source of truth for all calculations.

For humans

Security & access control

Row-level and column-level permissions.

For AI

Rich business context

Descriptions and definitions for autonomous discovery.

For AI

Consistent aggregations

Same results across every agent and tool.

For AI

Query abstraction

AI-native data queries. Zero SQL.

Simple 3-Step Process

How DataPlexer Works

Go from raw databases to production-ready analytics in minutes, not months.

01

Define Your Model

Define your semantic model with dimensions, metrics, relationships, and necessary context.

02

Connect Your Databases

Point DataPlexer at your analytics databases.

03

Query via API

AI-native queries. Get consistent results. No SQL, no endpoints to maintain, no complexity.

Everything you need to ship data products

A complete semantic layer with batteries included — from model definition to AI-powered analytics.

Declarative Models

Define your semantic models in git-friendly format. Fields, metrics, relationships, and business context — all in one place.

Fields Metrics Relations

Query Abstraction

Send structured JSON queries instead of SQL. DataPlexer handles joins, aggregations, and dialect differences automatically.

JSON AUTO SQL

Period Comparisons

Built-in period-over-period analysis. Get current, previous, and variance metrics in a single simplified query.

Δ

Expression Templates

Dynamic SQL generation with custom templates. Context-aware transformations that adapt queries based on the individual request.

{{ field }} revenue

Multi-Tenancy

Built-in tenant isolation with scoped connections. One deployment serves all your customers securely.

API Tenant A Tenant B Tenant C

AI-Ready MCP

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

query.json
{ "dimensions" : [ "region" ], "measures" : [ { "field" : "revenue" } ], "filters" : [ { "year" : "2026" } ] }

Use Cases

Built for real-world impact

See what teams achieve with DataPlexer across different use cases.

97% less code

Embedded Analytics

Ship analytics features in your product without building a data infrastructure. One API powers every chart, filter, and dashboard.

  • Single API replaces 20+ custom endpoints
  • Automatic filter coordination across charts
  • Ship new visualizations in hours, not weeks
95%+ query accuracy

Agentic BI

Give AI agents reliable access to your data. Structured queries and semantic context eliminate the hallucination problem.

  • 12 MCP tools for autonomous data discovery
  • Model validation before every query execution
  • Natural language to structured data, not raw SQL

How AI Agents Query Your Data

DataPlexer's MCP tools guide AI agents through a structured workflow — from natural language to accurate results, in a continuous loop.

Step 01

User Question

Natural language
Step 02

Model Discovery

list_models / get_dimensions
Step 03

Understand Context

get_context
Step 04

Build Query

validate_query
Step 05

Execute & Answer

query_model

Embedded Analytics in Action

One API call replaces dozens of custom endpoints. Your app sends a query; DataPlexer handles the rest.

Your App

Frontend / Dashboard

DataPlexer API

Semantic Query Layer

Your Database

Redshift, Snowflake, etc.

Formatted Results

JSON / Charts / Tables

Also from DataPlexer: Dataplexer for Sheets — query Amazon Redshift from a spreadsheet.

Who It's For

Built for every team

From data engineers who define models to executives who consume insights — DataPlexer empowers your entire organization.

Data Engineers

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.

Developers

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.

Data Analysts

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.

AI/ML Engineers

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.

Business Leaders

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.

Ready to transform your analytics?

Join the private beta

Get early access to DataPlexer and help shape the future of the semantic layer.

Protegido por reCAPTCHA — aplican la Privacidad y los Términos de Google.