Our AI advisory and development division. The infrastructure of an established analytics practice, at the speed of a specialist AI team.
Claude Partner NetworkMicrosoft Solutions Partner
What this is
Dataloop X is Dataloop's AI advisory and development division. We tell you, plainly, where AI creates near-term value in your operation, build it, and layer it onto the data platform you already run, as one of three engagement types below.
AI Advisory
Where AI creates near-term value in your operation, and where it does not.
AI Development
AI-native applications and automation that hold up in the real world, not in a demo.
AI Augmentation
A layer on the data infrastructure you already paid for, so it earns more.
Skills & agents
A skill for every routine.
We build the library with your team, in your language, on your data, governed like any other system.
Finance
Month-end pack
Pulls the numbers, drafts the commentary, flags every variance over threshold.
Runs on DataHub
Procurement
Tender response
Assembles the submission from your past responses and current rate card.
Runs on DataHub
Operations
Shift report
Turns plant data and shift notes into the morning report before anyone arrives.
Runs on DataHub
Engineering
Variation order
Drafts the variation from the scope change and the terms of the contract.
Runs on DataHub
Safety
Incident summary
Structures the report, links corrective actions, chases the ones still open.
Runs on DataHub
Commercial
Vendor onboarding
Checks the documents, verifies the details, opens the record in the ERP.
Runs on DataHub
01
Watch the routineSit with the people who do it today
02
Encode itRules, data access, output format
03
Hand it overVersioned, governed, owned by your team
Intelligent document processing
Documents in, structured data out.
Invoice_4471.pdfProcessed 3.2s
Extracted fieldConfidence
Invoice no.INV-447199%
VendorAcme Industrial98%
Date2026-03-0497%
SubtotalR 184,20099%
VATR 27,63086%
Total dueR 211,83099%
Low-confidence fields flagged for human review
[Illustrative interface, sample data]
Agentic workflows
Agents that act, not just answer.
01ReadPull the context it needs
02ReasonApply your rules and thresholds
03ActWrite back into the system of record
04VerifyCheck, log, escalate if unsure
WarehouseBusiness rulesERP & emailAudit logHuman in the loop on anything uncertain
How it works
Grounded in your data, not the internet.
01
A structured foundation
Years of data-structuring work give every agent a clean base to reason over.
02
Your business context
Trained on your terminology, rules and KPIs, so answers speak your language.
03
Governed and secure
Your Azure tenant, your access control, every response traceable to source.
Questions
About Dataloop X, specifically.
What counts as a "skill"?
A skill is an encoded routine, such as a month-end pack, a tender response, or a shift report, built with your team, in your own language, running on your data, and governed like any other system you already rely on.
How do agents stay grounded in your data, not the open internet?
Every agent reasons over a structured data foundation years in the making, is trained on your own terminology, rules and KPIs, and runs inside your Azure tenant under your access control. Every response traces back to its source.
What happens when an agent isn't confident?
It stops. Every agentic workflow ends with a verify step: check, log, and escalate anything uncertain to a person, rather than acting on a low-confidence guess.
What's the difference between Advisory, Development and Augmentation?
Advisory is where we tell you, plainly, where AI creates near-term value in your operation, and where it doesn't. Development is building AI-native applications and automation that hold up in the real world, not a demo. Augmentation is layering AI onto the data infrastructure you already have, so it earns more.
Bring us your messiest process.
We will tell you honestly whether AI is the answer.