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Agentic Business Optimization Studio

Private AI built for retail, manufacturing, CPG, supply chain, healthcare, media and martech, and CRM or ERP. Fine-tuned for your enterprise.

A private AI built on the enterprise's own systems and data. It produces the KPIs, runs the processes, and optimizes every action through approval before it acts.

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Retail

Demand Intelligence

ImpactInventory Precision
Seven lines of business — retail, manufacturing, CPG, supply chain, healthcare, media and martech, and CRM or ERP — run through ROIzor, which returns either a lower cost or a higher output. Retail Manufacturing CPG Supply Chain Healthcare Media & Martech CRM / ERP X%Cost X×Output

The P&L Line

Every LoB Costs X Dollars And Y People. Optimize The Entire P&L.

The enterprise chooses: the same output for less spend, or the same team producing several times the output.

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Unified Systems

Start By Cutting Wastage. Connect Apps, Data, KPIs, and Workflows.

Connect the apps, data, documents and workflows already running the business into one governed layer, and cut the wastage between them.

Explore integrations
  1. 01

    Apps

    Connect the applications already running the business, with no migration and no rebuild.

    • CRM and ERP context
    • Documents and knowledge
    • Existing access preserved
  2. 02

    Data

    Bring operating data into one governed layer, with its lineage and permissions intact.

    • Records and entities
    • Lineage retained
    • Permissions carried through
  3. 03

    KPIs

    Assemble the measures the business already reports on, from live definitions and owners.

    • Definitions and owners
    • Mapped to source systems
    • Continuously current
  4. 04

    Workflows

    Run the repeatable work end to end, routing every material action through approval.

    • Policy checks applied
    • Role-based approval
    • Audit trail retained

Bring the global retail, manufacturing, CPG, supply chain, healthcare, media and martech, and CRM or ERP graph. Connect the generics.

It starts from a global knowledge graph and context, then builds the enterprise its own: a private model, a private vertical graph, use cases that belong to it alone.

  • Vertical context out of the box
  • Fitted to the enterprise's own entities
  • The private graph stays private

Three layers, top to bottom. A global industry graph of standard entities, industry KPIs and process logic feeds three context repositories, which connect down into the enterprise's own systems of record, semantics, data and knowledge. Around 80% is prebuilt from the industry.

See It Run

Your Next Focus Should Be 3X Revenue Through AI Use Cases.

Connect enterprise data to live processes, cut the wastage and lift ROI. Deployed in days, not months.

Connect CRM, ERP and finance systems without a long platform migration. Start with the applications already carrying the business.

Explore connectors
ROIzor ask-anything workspace with the connector list open, showing Salesforce enabled alongside SAP and Oracle NetSuite
ROIzor KPI registry listing retail performance metrics grouped by subject area, each with its definition
ROIzor use case gallery of prebuilt agents, split into operational and customer-facing use cases
ROIzor process browser showing business areas, subject areas and monitored processes

To Deploy AI Use Cases In Days, Not Months,You Need A Private SLM, A Knowledge Graph And Live-Data Retrieval.

The interface is the easy part, and where most enterprise AI stops. Underneath: a small language model on the enterprise's domain, a knowledge graph of its entities, and retrieval over live operating data.

See the operating stack
  1. 01

    Retrieval + governance

    Every action reads live operating data, under the policy and permissions already in force.

  2. 02

    Enterprise knowledge graph

    The entities the business runs on, and the relationships between them, modelled explicitly.

  3. 03

    Private domain model

    A small language model specialised on one enterprise's domain, not the public internet.

  4. 04

    Interface

    Where most enterprise AI stops, and the only layer of the four the business sees.

  5. A frontier LLM has read the public internet. This has modelled one enterprise, and retrieves against its live data every time it acts.

Start Anywhere

No Complexity. No Data Platform Needed. Start Any Which Way.

Some enterprises arrive with a full data estate, some with three applications and a problem. Both start the same week. A free assessment sets the starting point in about a week.

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  1. 20%
    01Single Database
  2. 45%
    02Modern Estate
  3. 70%
    03AI Piloted
  4. Enterprise readiness100%
    04AI In Production

Data Never Leaves. Model Never Leaves. Learnings Never Leave.

Single-tenant inside the enterprise network. The model, graph and accumulated learnings stay private, so hard-won operational patterns never enrich a shared system.

  • Private model
  • Private graph
  • Compounding learnings

One Use Case.A $150M P&L Optimized. Imagine The Rest.

Fortune 500 global chemical distribution leader.

  • 30s

    order confirmation, down from 5 to 7 minutes

  • 95%

    of orders processed with no human touch

  • 2

    people handle the volume that took 20

  • 12x

    adoption growth in six months

  • 98.8%

    verification precision

Recognition

From A Company with Ongoing Recognition In Data & AI Landscapes.

Independent analysts map the data and AI categories enterprises buy in. ROIzor is covered across them.

Analyst landscapes featured in

Consecutive years recognised

You Don't Need A Fortune Or A Big AI Team. Just ROIzor.

Prove it in one line of business. Expand from there.

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