About
About Emolysis.
Emolysis is the agentic lakehouse for data engineering and analytics, made by Bandpey GmbH in Munich. It is in private development, and nothing is released yet.
What it is
An entire data team. One download.
Emolysis is the agentic lakehouse for data engineering and analytics. Direct a team of AI agents from your laptop to investigate business questions, develop dashboards, and build and test pipelines for your data platform.
Business users want answers to the questions that matter. Data teams need the definitions, transformations and pipelines behind those answers. Emolysis brings these needs into one development workflow, with the person directing the work and reviewing the results.
Our approach combines local development and testing with platform-specific pipeline templates. Production pipelines run on the customer's data platform. Databricks is the first design-partner focus; Snowflake and Microsoft Fabric are planned.
Emolysis gives people the capabilities of a data engineering and analytics team through a downloadable product.
Underneath is a local-first coding agent for data engineering and analytics, designed for data engineering leads and platform teams who run production data on Databricks, Snowflake or Microsoft Fabric. Most production pipelines follow about ten known shapes, and each shape has a correct form on each platform. Emolysis picks the shape that fits your request, fills a template written for your platform, proves the result with golden tests on DuckDB on your machine, and only then deploys it as your platform's native unit.
See the ten pipeline shapes and the platforms we are starting with.
What it is not
- A replacement for Databricks, Snowflake or Microsoft Fabric as your production platform.
- A hosted service that runs your production jobs.
- A replacement for your platform's catalog.
Production runs on your platform, under your account.
Why
Why we are building it.
Data engineering is more templatable than general software. Most production pipelines follow a handful of shapes, and each has a correct form on each platform.
An agent that knows the platform, the shape and the test for it should make far fewer mistakes than one that writes every pipeline from scratch.
Principles
Six principles.
What we hold ourselves to while Emolysis is built, and what you can check us against.
Know the platform
Databricks code is written for Databricks, and Snowflake code for Snowflake. Every generated file is tagged with its platform, so it cannot be deployed to another one without an explicit translation step.Templates before free-coding
Emolysis picks a shape and fills a template that was written and tested for your platform. It does not write pipelines from scratch.Prove it before it ships
Golden tests run on DuckDB on your machine first. A failing test goes back to the template, not to production, and the agent deploys only after a green run.Keep production on your platform
Development happens on your machine. Production runs on your platform, under your account, as the platform's own deployment unit.Say what leaves your machine
To write code, the agent sends prompts to the AI model provider you choose. We list exactly what goes where on the security page.Report status honestly
We describe what Emolysis does in the present tense, label where each part stands, and say what is missing.
Read how data is handled on the security page.
Where it stands
Where it stands.
Emolysis is in private development, starting with Databricks. There is no public release or download yet; early access is by invitation, and you can ask for it. The sample dashboard on this site runs on synthetic data.
- Emolysis
- In private development. Nothing is released yet.
- Databricks
- In development · Deploy target
- Snowflake
- Planned · Deploy target
- Microsoft Fabric
- Planned · Deploy target
- SQL Server
- Planned · Source
- PostgreSQL
- In development · Source
- DuckDB
- Local dev loop · Local engine
- Desktop app
- In development
- emo CLI
- In development
- MCP server
- In development
- GitHub App
- Planned
Who makes it
Who makes Emolysis.
Emolysis is made by Bandpey GmbH, an engineering company based in Munich, Germany. Bandpey builds AI agents and custom software for business, with engineering that reaches from business workflows to the infrastructure they run on. Emolysis is Bandpey's data engineering and analytics agent.
Bandpey GmbH is led by its co-founder and CEO, Roozbeh Bandpey, an entrepreneur and AI engineer in Munich with more than 20 years of hands-on software engineering. He is a Databricks Solutions Architect Champion and led data and MLOps work at Accenture before building Emolysis. Read about his background on Roozbeh Bandpey's page.
- Company
- Bandpey GmbH
- Location
- Munich, Germany
- Founder and CEO
- Roozbeh Bandpey
- Contact
- hello@emolysis.com
- Website
- bandpey.com
In public
How we work in public.
- We describe Emolysis in the present tense and label each part's status until it ships.
- We say what is missing.
- We do not publish numbers we cannot back, or quotes and logos from people who are not users.
- We say exactly what leaves your machine.
Want to try it early? See early access. Writing about Emolysis? The press kit has the logos and the facts.