The Data Bottleneck
In an era of "vibe coding" and instant iteration, product teams can ship beautiful UX and powerful features at lightning speed. But data is the exception. It remains a slow, siloed, and untrustworthy bottleneck that kills momentum and frustrates both your developers and your customers. The typical in-house build follows a predictable, painful arc.
Slow Time-to-Market
What starts as a "simple" feature quickly balloons into a massive engineering effort. Building a performant, secure, and flexible analytics backend from scratch distracts your team from your core product for months, if not quarters.
Inflexible User Experiences
After all that work, the result is often a grid of static charts. Your customers can see their data, but they can't interact with it or answer their "next question." Attempts to bolt on AI Q&A fail because they aren’t built on the right foundation, with unreliable answers eroding trust.
Failure to Scale
The solution that worked for 10 customers grinds to a halt at 1,000. Scaling an analytics backend is a notoriously difficult infrastructure problem that causes dashboards to time out and queries to fail.
Skyrocketing Total Cost of Ownership
A proof-of-concept AI chatbot is easy; a production-ready, multi-tenant analytics feature can become a money pit. The ongoing cost to maintain brittle infrastructure, fix broken queries, and fight to rebuild customer trust far outweighs the initial build cost.
A Modern Data Toolkit
To remove the data bottleneck, you need a toolkit that matches the speed and agility of your team. We provide a post-modern data stack for building data products, focusing on an AI-first experience for your customers and an AI-assisted workflow for your developers.
Empower Customers with AI-First Experiences
Go beyond static dashboards and empower your customers with a truly interactive experience. Our AI-powered workbook removes the "certification-required" complexity of legacy analytics tools. It intelligently surfaces the right business concepts, guiding your customers to uncover novel insights and create their own data stories. (Learn more on our AI Solutions page).
Empower Developers with an AI-Assisted Workflow
Our toolkit fits naturally into your workflow. By leveraging AI assistance directly in your IDE, your team can build faster, write less code, and ship a more powerful data product with confidence.
Flexible Components for Any Usecase
We also provide a full suite of components for more traditional embedded workflows. An analyst can create a report using our intuitive dashboard builder, and a developer can then easily embed it into your application. For deeper integrations, our powerful React SDK and flexible APIs give your team the building blocks to create any custom data experience you can imagine.
A Foundation for Better Products
Our platform is fundamentally different–it's designed to help you build, scale, and manage data products with the speed and agility of modern software.
A Federated Source of Truth
Our semantic layer enables a modern, data-mesh approach. You can empower different teams to own and model their data domains, then easily combine them to create new, cross-functional data experiences. This connects data across silos and removes the central bottleneck, allowing your product teams to iterate and create value faster.
A Composable Language for Richer Analytics
Our foundation is built on Malloy, a powerful, open-source language for data. Its ability to compose and nest analytical patterns allows analysts, product teams, developers, and AI to build richer, more complex data experiences with a clear, concise code, dramatically speeding up development.
Optimized for Scale
Our platform is designed for efficient scaling, helping you manage both performance and cost. The semantic layer enables intelligent query optimization and caching which can significantly reduce data warehouse compute costs. Plus, with built-in usage analytics, you can understand exactly what data your customers care about, allowing you to optimize your models and materialization strategies for what's most valuable.
