Natural language data development
Use the power of Talos AI to build, manage, and grow enterprise data platforms using natural language.
DataForge democratizes data management for all.
Trusted by data leaders at companies like:
Data platforms require custom design and
low-level code development
Data stacks are often
5+ tools with complex
learning curves
Custom code patterns fail
and become unmanageable as
new features are added
Static codebases cannot
auto-adapt to external
request and changes
Take the complexity out of
data engineering with DataForge
Build with natural language prompts
Use Talos AI to help demystify data pipelines
DataForge’s AI assistant Talos helps translate simple requests for data, features, or operational concerns into complete production-ready solutions in platforms such as Databricks, Snowflake, AWS, Azure, and GCP.
Not just generated code, better code
SQL broken down into YAML,
built for language models
The DataForge Core open source framework avoids the pitfalls of SQL or python scripts by decomposing logic into separate column and row-based SQL expressions. Code can be generated, modified, and added to via LLMs without refactoring.
A fully integrated data operating system
Every aspect of data processing, all in one place
Let DataForge automate tedious and complex operations, such as scheduling, orchestration, dependencies, infrastructure, logging, profiling, error handling, retries, backfill, etc. all in an easy to monitor and navigate web-based interface
“Service Logic benefits tremendously from DataForge because it keeps our data integrations organized over time despite a complex and expanding landscape of systems. The platform accelerated our initial data transformation and is easy to maintain and enhance with minimal resources, allowing us to generate clean analytics that demonstrate the value of our business model, all without the need for a large team of in-house data experts.”
Levi Reeves
VP of Integrations & FP&A