Why Most AI Data Initiatives Fail to Deliver
Connecting a generic AI directly to your database often leads to a dangerous combination of plausible-sounding but fundamentally incorrect answers. This erodes trust across your organization and stalls progress. Here’s why:
They Don't Know Your Business
Competitive advantage comes from the ability to act on unique institutional knowledge. But this knowledge—the specific metrics, data, and terminology a business runs on—is the exact context generic AI tools lack. Without knowing your definition of an "active user," for example, they deliver plausible but fundamentally incorrect answers.
Their Logic is Hard to Verify
AI can generate incredibly complex queries. When people can't trust an agent's logic, they stop asking hard questions, dramatically limiting its value.
High Cost & Complexity to Maintain
Building AI features from scratch is a massive engineering effort that rarely ends at launch. Without a solid foundation, the fight to maintain quality and rebuild eroded trust becomes a costly game of whack-a-mole—endless prompt tuning and fixing broken queries distract your team from core product development.
The Foundation for Trustworthy AI
Our platform is built on a simple premise: trustworthy AI isn't about better prompts, it's about a better contextual foundation. We give you the tools to build and manage this foundation with confidence. It’s designed around four key pillars:
Intelligent Context Management
To deliver an AI experience that is truly human and ergonomic, our platform builds a comprehensive understanding of your business. It intelligently indexes and retrieves the most relevant context not just from your semantic model, but also from query logs, unstructured data, and past analyses. Think of it as an expert colleague with a perfect memory—it instantly recalls the right context from across your entire organization to inform every analysis.
A Unified Source of Truth
We help you define your business logic—metrics, relationships, and calculations—once in a semantic model. This ensures every user and AI agent operates from the same set of verified definitions and facts.
Evolves with your Business
Your semantic model is a living asset. We provide the tools to manage its evolution effectively and efficiently. User activity surfaces improvement opportunities, and our AI tools help you rapidly test and deploy updates through a governed workflow.
The Malloy Advantage
Credible is built on Malloy, a powerful, open-source language for data. With Malloy, an LLM can describe what it wants in simple, high-level terms, while the Malloy compiler handles the complex task of generating correct SQL. This means the analysis logic is always human-readable and easy to audit, building confidence in every answer.
This foundation is what empowers you to unlock deeper, novel, and truly Credible insights—cutting across data silos to uncover the trends, anomalies, and correlations that drive real business value.
Your Data Insights, Available Everywhere
Our platform capabilities can be accessed in the environments that best suit your needs, from deep, collaborative analysis to intelligent agents integrated directly into your product.
Explore with an AI-First Workbook
While other tools bolt AI onto complex, legacy interfaces, our AI Workbook is built to be AI-first from the ground up, providing the analytical firepower you need in a vastly simplified experience. It’s an ergonomic experience designed to make deep analysis accessible to everyone in your organization, not just certified experts. Now, anybody can engage with, understand, and act on trustworthy data.
Connect Your Own Agents via MCP
Empower your own AI agents with a deep understanding of your business. Using the open Model Context Protocol (MCP), you can connect your custom LLM agents and chatbots to our platform. This allows you to build intelligent, data-rich features directly into your own products and internal workflows.
An Extensible, Open-Source Foundation
Because our platform is built on a mature, open-source foundation, you have the ultimate flexibility and are not locked into a proprietary roadmap. If you need a new capability or integration, your team or the community can contribute and build it.
