Build Data Pipelines the Declarative Way
DataForge unifies Alloy’s structured architecture, Ember’s prescriptive catalog, and Talos AI’s natural language to streamline pipeline development.
Create reliable data flows without hidden complexity.
Trusted by data leaders at companies like:
Enforced Design, Faster to Build, Easier to Run
Alloy provides the structured pipeline architecture. Ember is the declarative knowledge layer that captures how datasets relate, defines SQL-based transformations, and tracks the results they produce. Talos AI translates intent into change through natural language.
Together, they generate reliable data pipelines that are faster to build and easier to operate without brittle workflows or manual orchestration.
Scale Data Platforms Without the Chaos
Alloy
The Structured Architecture for Every Pipeline
Alloy defines the foundational architecture that every DataForge pipeline follows. Rather than allowing each new use case to introduce its own design patterns, Alloy enforces a consistent, layered structure for how data is ingested, transformed, and published.
This shared architecture prevents design sprawl and makes pipelines easier to extend and operate as the platform grows. Alloy is not a pipeline builder or orchestration tool. It is the architectural backbone that ensures pipelines scale cleanly over time.
Ember
The Prescriptive Catalog for Pipeline Logic
Ember is the prescriptive catalog that defines how data logic is expressed across the platform. It allows teams to describe column-level transformations and business rules within a shared knowledge graph that reflects how the organization understands its data.
This catalog becomes the system of record for data logic. DataForge translates these definitions into pipelines within Alloy’s architecture, while Ember records the results alongside the configurations that produced them. By prescribing how logic is defined at the column level, Ember enables faster iteration and simpler operations as platforms scale.
Talos
The AI Control Plane for Data Platforms
Talos is the AI control plane that allows teams to interact with DataForge through natural language. It operates within Alloy’s enforced architecture and Ember’s prescriptive catalog, using those constraints to guide changes safely and consistently.
Because Talos is grounded in a fixed architecture and defined data logic, it avoids generating speculative or arbitrary logic. Instead, it translates intent into structured updates that conform to the platform’s design, reducing the risk of hallucination while accelerating change.
Built for the Platforms You Already Use
Native support for Databricks and Snowflake, deployed across AWS, Azure, or Google Cloud.
“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