SOVEREIGN, GOVERNED AI

Scale what makes
you win.

ARPIA amplifies the advantage already inside your company.

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THE CATCH

Your AI is already running.
Is anyone governing it?

ARPIA is the reasoning company that amplifies the competitive advantage your enterprise wins with.

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USERS & EXPERTS
teams · analysts · operators
Claude ChatGPT Cursor Copilot
AGENTIC AI
frontier models
SOVEREIGN AI
your models · on-prem · GPU
NVIDIA AMD
AUTOMATION & ROBOTS
autonomous systems
KNOWS
memory
TOUCHES
access
BUILDS
code
DOES
actions
DECIDES
reasoning
ONTOLOGY & KNOWLEDGE GRAPH
GOVERNANCE FOUNDATION
Policies & Rules Approvals & Reviews Risk & Compliance Monitoring & Alerts Identity & Permissions
ERP
CRM
POS
WMS
HR
Data
Docs
APIs
Connect what you run · Extend what works · Build what's missing
  1. 01

    Your systems: connected, extended, or built new.

    ERP, CRM, POS, data platforms, documents, APIs. Connect what you run today, extend what works, and build what is missing on the same governed platform. AI works on a governed reflection of your data, with lineage and provenance. It never touches your live systems.

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  2. 02

    Your ontology, governed by design.

    The DNA of your organization: a living layer above your data that defines how value is inferred, governed from day one. Not a catalog that describes. An engine you operate.

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  3. 03

    Any AI. Frontier or sovereign.

    Claude, GPT, Copilot, or your own models on your own infrastructure. Agents and robots included. One governed connection, swap models without rebuilding.

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  4. 04

    Now it knows, with attribution.

    Institutional memory becomes a business asset: it stays when senior people leave, and every insight carries its author, its source, and its approval state.

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  5. 05

    It touches only what policy allows.

    The AI tools your people use connect through MCP, APIs, and SDKs over the central ontology. Every connection scoped, every call logged, every permission owned.

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  6. 06

    It builds inside your standards.

    Generation constrained by your ontology and your security policies. Review gates before anything ships.

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  7. 07

    It acts on the record.

    Governed pipelines run the actions. Human approval where it matters, an immutable trail always.

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  8. 08

    Every decision can be explained.

    Which model ran, what context it had, what constraints it was given, and who approved. Full reasoning lineage.

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  9. →

    One governed layer. Your DNA at the core.

    Replace your stack or amplify what you run today. First use case in 30 to 90 days.

    Find Out What Your AI Did Last Week

Meet Oria

The Ontology Reasoning Interactive Agent that actually reasons over your organization.

PLAY THE DEMO ask → reason on governed data → answer

Reasoner

Ask, and Oria reasons on your governed data and institutional memory, then builds dashboards and apps right in the session.

PLAY THE DEMO AI builds → review gate → ship

Coder

AI coding inside your Workshop and app builders, aware of your runtime and standards, reviewed before it ships.

PLAY THE DEMO author a node → relate → govern

Workbench

Author the ontology itself: nodes, relations, and tables, with human validation and the same permission gates.

PLAY THE DEMO code runs in its own pod → HITL approval → live dashboard

Oria Machine

An autonomous, governed execution environment. Oria runs code in its own pod, inheriting your ontology scope and permissions, with human approval where it matters and live dashboards backed by your nodes.

THE POINT

Scale what makes
you win.

Companies that lead don't run the standard. ARPIA embeds your DNA into a sovereign, governed AI core: your ontology, your rules, your strategic advantage. Replace your stack or amplify what you run today.

Not five tools. One infrastructure. First use case in 30 to 90 days.

0%

of AI-breach victims had no AI access controls

$0K

extra breach cost when shadow AI is involved

0%

of agentic AI projects abandoned by 2027

Sources: IBM Cost of a Data Breach Report 2025 · Gartner, June 2025

Talk to an Expert See How We Work
“

We didn't hire ARPIA to build a tool. We're building our intelligence layer. The first use case, our collections pipeline, went from days of analyst work to 13 minutes in production. But what convinced us this was the right platform was how fast the second and third use cases came together. The data layer and ontology were already there. We're now building our fourth pipeline on the same infrastructure. Every one has been faster and cheaper than the last.

VP of Enterprise AI Finance & Retail Multinational Group