Newboot Genesis use case · Talk-to-Data

Give teams and AI agents answers they can verify.

Questions in plain language, answers grounded in your business context, with the source of every figure. Use the LLM of your choice; Newboot provides the context it needs.

Talk to an expert See how it works

up to −65% tokens* MCP server 100% sourced answers

Talk-to-Data · AI agentGrounded

Which plants exceeded their energy budget last quarter, and why?

2 plants out of 9. Plant B: +7%, longer furnace heat-up after a recipe change. Plant F: +4%, compressed-air leak on line 2. Sources: Energy meters (Edge), Budget Q3 (ERP), Recipes (MES) · lineage available

Illustrative view

How it works

The model gets context, not raw tables.

A questionFrom a person or an AI agent

Business contextServed by the Newboot MCP server

The LLM of your choiceWorks on described, governed data

A sourced answerEvery figure traced to its source

Faster AI agent adoption

Agents plug into one MCP server instead of one integration per system.

Fewer hallucinations

The model works on explained data with explicit rules, not on guesses about column names.

Lower inference costs

Described data needs fewer tokens and fewer agent loops to reach the right answer.

Answers you can audit

Each answer comes with its sources and the lineage behind each figure.

* Estimate based on observations by Newboot R&D.

Built on Newboot Genesis

A living map of your data, generated from your systems.

Genesis connects to ERPs, BI tools, databases and files, and describes what every value means, which rules apply and where it comes from. Teams and AI agents then work on explained data instead of raw tables.

up to −65%tokens sent to the LLM, thanks to described data (Newboot R&D estimate)

MCPserver that serves the map to any AI agent

Azuredeployment inside your own tenant

Discover the Newboot Genesis platform →

FAQ

Questions about AI agents and data.

Which LLMs can we use?

The LLM of your choice. Newboot provides the business context through its MCP server and APIs, independently of the model.

What is an MCP server?

The Model Context Protocol is an open standard that lets AI agents query tools and data sources. The Newboot MCP server exposes your ontology to any compatible agent.

Which data sources are supported?

ERP (including SAP), BI tools such as Power BI, databases, files, and industrial data collected by Newboot Edge.

Newboot Genesis

Other use cases on the same platform.

ERP MigrationMap, test and transform your data when you migrate to SAP S/4HANA or any other ERP.Power BI SimulatorRun “what-if” scenarios in plain language on top of your existing dashboards. All use casesFinance, supply chain, sales, retail, M&A, ESG and manufacturing.

Next step

Start with one system and one question.

We connect to one source, generate its ontology and show you what it reveals about your data, in a scoping workshop.

1
Scoping workshopIdentify the priority use case and the data available.
2
PilotProve the value on one line, one site or one IT scope.
3
Deploy and replicateIndustrialize, then roll out to other lines and sites on the same foundation.