Lume
Integrate AI-powered data mapping into your systems. Never spend time wrangling data again. Lume platform gives you visibility and management over all of your data pipelines and mappings. Review, edit, and deploy data mappers in seconds, and use them indefinitely. Onboard more customers and partners faster by ingesting their unique data in seconds. Normalize messy data that is different between all the legacy data systems you are ingesting. Build hundreds of data pipelines immediately, reading from and writing to any source and any destination models. Detect changes to your source data or target models, and automatically re-transform the data to adapt to the new models. Handle complex data mappings with ease by enabling your teams to transform data leveraging AI.
Learn more
Liquid Data Mapper
Liquid Data Mapper is a flexible data transformation and mapping tool providing the power and flexibility to produce any combination of mapping, even combining data from multiple sources. Provides a graphical visualization of data mapping between multiple data sources and targets. Execute transform within Liquid Studio or generate mapping code for use in your own application. Step through debugger with breakpoints, stack trace, state and variable watch windows. Liquid Studio Data Mapper provides an intuitive graphical interface for designing data transforms. The transforms can map multiple data input sources to multiple data output targets while performing conditional logic, filtering, string manipulation, statistical functions and much more.
Learn more
Routebase
Routebase is the single source of truth for your APIs. Design your OpenAPI spec once in a visual editor — no hand-edited YAML — and your documentation portal, mock servers, contract tests, and monitoring all derive from that one spec.
Change the contract, publish, and Routebase catches what drifted before your consumers do: it validates live responses against the spec and flags every divergence with field-level diffs — missing fields, type mismatches, undocumented additions.
Work on specs the way you work on code: branch, review, merge, with breaking-change detection before anything ships. Publish a docs portal on your own custom domain. Spin up realistic mocks so frontend and backend build in parallel. Run contract and security tests against any environment.
Every workspace also ships a built-in MCP server, so your AI agents read and act on the same source of truth, under your team's permissions — no glue code.
Learn more
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation.
Learn more
