See DataSetu.ai on your own data.
A working session against your estate and your processes. Bring the thing that costs you money.
WHAT IT DOES
Inside DataSetu.ai.
01
One shape for every edition
Vendor, Material, Purchase Order, Sales Order, Goods Movement, Outbound Delivery, Stock Transport Order, Supplier Invoice, Customer and Plant, modelled once and mapped per edition, with per-customer field overrides on top.
02
Three edition families
S/4HANA public cloud and GROW, S/4HANA private, RISE and on-premise, and ECC, each with its own mapping tables.
03
Two transports
Every read and write runs over direct OData or the AWS for SAP MCP server, chosen per tenant.
04
Writes are opt-in twice
Declaring an entity writable enables nothing. The tenant's stack needs the write flag on and the autonomy gate must resolve to execute. New customers start in dry-run.
05
Document AI on our own models
Invoice and receipt extraction served to SupplierX, Xpense and Logystix, plus number-plate recognition and fine-tuning infrastructure.
AI INSIDE
Shipped, not shown.
Everything below runs in the product today. Where a capability is deterministic rather than a model, we say so.
01
A 21-agent library
Master data, procurement, sales and analytics agents that any product can call the same family that runs inside SupplierX, available as a service.
02
Replay a run and diff it
Pull a run id, rehydrate its prompt and tool results, re-execute in a sandbox and compare the outcome. That is how a regression gets caught before a customer does.
03
Verification that reaches outside
Live GST and PAN, bank and MSME checks, sanctions screening, news, web search and marketplace lookups as tools an agent calls, not a batch job.
04
Budgeted per tenant
A daily spend ceiling and an hourly rate cap per agent, enforced in the run loop.
CANONICAL DATA FABRIC
One API over every SAP edition you run.
Ten canonical entities across three SAP edition families, document AI on our own models, and a 21-agent library any product can call.
10
Canonical entities
3
SAP edition families
21
Agents in the library
34
External verification tools
INTEGRATIONS
What it connects to.
1
SAP ECC, S/4HANA, RISE and GROW
2
AWS for SAP MCP server
3
Google BigQuery and Firestore
4
GST, PAN, bank, MSME and sanctions sources
CANONICAL DATA FABRIC
One API over every SAP edition you run.
Ten canonical entities across three SAP edition families, document AI on our own models, and a 21-agent library any product can call.
See DataSetu.ai on your own data.
A working session against your estate and your processes. Bring the thing that costs you money.
Request a proposal
Talk to us
Sign up to learn more
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WHAT WE DO
Inside DataSetu.ai.
01
One shape for every edition
Vendor, Material, Purchase Order, Sales Order, Goods Movement, Outbound Delivery, Stock Transport Order, Supplier Invoice, Customer and Plant, modelled once and mapped per edition, with per-customer field overrides on top.
02
Three edition families
S/4HANA public cloud and GROW, S/4HANA private, RISE and on-premise, and ECC, each with its own mapping tables.
03
Two transports
Every read and write runs over direct OData or the AWS for SAP MCP server, chosen per tenant.
04
Writes are opt-in twice
Declaring an entity writable enables nothing. The tenant's stack needs the write flag on and the autonomy gate must resolve to execute. New customers start in dry-run.
05
Document AI on our own models
Invoice and receipt extraction served to SupplierX, Xpense and Logystix, plus number-plate recognition and fine-tuning infrastructure.
10
Canonical entities
3
SAP edition families
21
Agents in the library
34
External verification tools
INTEHRATONS
What it connects to.
1
SAP ECC, S/4HANA, RISE and GROW
2
AWS for SAP MCP server
3
Google BigQuery and Firestore
4
GST, PAN, bank, MSME and sanctions sources
AI INSIDE
Shipped, not shown.
Everything below runs in the product today. Where a capability is deterministic rather than a model, we say so.
01
A 21-agent library
Master data, procurement, sales and analytics agents that any product can call the same family that runs inside SupplierX, available as a service.
02
Replay a run and diff it
Pull a run id, rehydrate its prompt and tool results, re-execute in a sandbox and compare the outcome. That is how a regression gets caught before a customer does.
03
Verification that reaches outside
Live GST and PAN, bank and MSME checks, sanctions screening, news, web search and marketplace lookups as tools an agent calls, not a batch job.
04
Budgeted per tenant
A daily spend ceiling and an hourly rate cap per agent, enforced in the run loop.
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