Nexus turns governed enterprise data into AI that does real work — with evidence, audit and human control by construction, running inside your own infrastructure.
AI stalls where the data and the governance aren't
Most enterprise AI pilots stall in the same place: the data is scattered and ungoverned, the models can't be trusted with real decisions, and security won't let corporate data leave the perimeter. What's left is a graveyard of demos that never reach production.
Nexus is built for the opposite outcome — AI that reaches production because the data underneath it is governed, every action leaves an audit trail, and nothing runs outside your own infrastructure.
The market reality
In 2026 the enterprise question moved from “which model?” to “which data?”
0%of AI projects are abandoned — almost never on the model, on the data
0%of organizations say their data is actually AI-ready
0%of enterprise apps to embed task-specific AI agents by end-2026
$0.0BAI-orchestration market by 2026 — “scale or fail”
The order that works
First the right data. Then the automation.
The strength of Nexus is a professional foundation on our own MDM: governed master data creates real data governance — and only on that foundation does AI actually work. Get the data right first; the automation follows.
Your own MDMGolden records, deduplicated and governed — the foundation we build
→
Data governanceTrusted, evidence-grounded data with stewardship and audit
→
AI that worksAgents reason over data you can trust — and reach production
Master data stood up in weeks, not years
What makes it work
Four capabilities enterprise AI needs at once
Governed data foundation
AI works because the data is governed. Master data is resolved into golden records — matched, de-duplicated, survivorship-merged and reversible — so agents reason over data you can trust.
Agentic capability plane
Corporate AI that does real tasks. People state intent in conversation; the platform routes it onto a governed process and an agent executes it inside a declared tool allowlist, with a human gate on every write.
Sovereign by design
On your infrastructure. Your data never leaves. The data plane stays entirely inside your perimeter, and a runtime egress latch hard-blocks any model call to an endpoint you didn't authorize.
Trust by construction
Evidence, audit and human control by design. Every claim carries its source, every privileged action is traceable and replayable, and an agent acts only within the rights of the person who launched it.
The scientific core
What the “AI builder kits” can't reproduce
Nexus is not a wrapper over someone else's model, nor an assembly of off-the-shelf blocks. At its core are ARBA's own research advances — shared across every component — that you can't reproduce by configuring existing tools.
01
Global context
The system holds a coherent picture of the entire corporate corpus rather than a single-document window — answers rest on the links between sources, not an isolated fragment.
02
Multi-threaded execution
A complex task is decomposed and run in parallel by many agents, then reconciled — greater completeness and speed than a linear assistant.
03
Knowledge on a living org graph
Knowledge is anchored to a living model of the company — entities, roles, ownership, hierarchy — not flat folders: every answer respects who owns what and how the organization is built.
04
Adversarial verification
Results are self-checked and cross-verified before they reach the user; every reasoning step is traceable and auditable.
05
Time-aware memory
Bitemporality: the system remembers not only how things are but how they were known at any past moment — “as-was / as-known” — so any answer or audit is reproducible at a point in time.
06
Hybrid scientific method
Deterministic, semantic and probabilistic methods work together — rigorous engineering and reproducible results, not “prompt magic”.
The platform, module by module
One foundation. Four components you can grow into.
Every module runs on the same governed spine — identity, evidence, audit, human gates and cost metering by construction. Pick a module to see what's inside.
Nexus AI Foundation
The agentic AI platform every module is built on
Agents & scenarios
AI agents with tools and memory
Scenarios authored by your own staff
Orchestration of multi-step tasks
A full trace of every step — a reasoning audit
Landscape integration
Single sign-on via your corporate directory
Your own models via Microsoft Foundry
Agents and a bot inside Microsoft Teams
Self-service connectors to your sources
Security & privacy
Roles, permissions and a security-officer role
A full audit log of every action
Outbound-transfer (egress) control
PII de-identification; instance isolation
Models, languages, cost
A per-purpose model selector
Multilingual — Russian, English, Kazakh
Model-spend monitoring with a ceiling
The platform meters neither tokens nor records
The architecture
Three data planes and one capability plane
Nexus owns three governed data planes — Master Data, Documents and Project Control — and one capability plane where scenarios, tools and connectors live. Together they turn scattered corporate information into a single governed foundation your AI can stand on.
Master Data — golden records with deterministic and AI matching, survivorship and reversible merge, bitemporal hierarchies and data-quality loops
Documents — a governed content plane with grant-scoped retrieval, typed metadata, universal OCR in Russian, Kazakh and English, and automated enrichment
Project Control — owner-side assurance that reads your execution systems, grounds every claim in evidence and shows where reported progress isn't supported by it
Capability plane — governed scenarios, a growing library of tools, and connectors into the systems you already run
The stack
A foundation your AI stands on
Your AI — agents and copilots
Capability plane
Scenarios
Tools
Connectors
Master DataGolden records, matching, survivorship
DocumentsGrant-scoped retrieval, OCR, enrichment
Project ControlEvidence-grounded assurance
Your infrastructure — data never leaves the perimeter
Three governed data planes and one capability plane, on infrastructure you control.
Coexistence, not replacement
Nexus adds an agentic layer over the systems you already run
It sits beside your Microsoft estate and your industry systems, governing and grounding over them — never replacing them. Hover a system to see it light up.
Your perimeter — data & compute never leave
Nexusa single agentic AI platform
Microsoft ecosystem
Active Directory · SSO
Microsoft Foundry · models
Fabric & Power BI · data & BI
SharePoint · documents
Teams · collaboration
Enterprise & industry systems
SAP
Oracle
1C
Schedulers · Primavera P6
Integration bus · ESB
Data warehouse · BI
The green indicator marks a live integration. Nexus runs inside your perimeter and connects to what you already use, adding an agentic AI layer on top instead of a rip-and-replace.
Applied solutions
Concrete outcomes, all on the one platform
Each solution is the same governed platform, configured — no new infrastructure, no new portal. Pick one to see the problem, what Nexus does, and the outcome.
Master-data deduplication & golden records
CDO / Head of Data
The problem
Duplicate, conflicting master data makes every downstream report and AI untrustworthy — only a fraction of organizations call their data AI-ready.
What Nexus does
Deduplicates and governs counterparties, materials and reference data into trusted golden records — deterministic matching plus AI adjudication, survivorship rules, and a reversible, human-gated merge.
The outcome
A trusted master-data foundation in weeks — the difference between an AI pilot that's abandoned and one that scales.
Every solution is a configuration of the same governed platform — and the most important one is the scenario your own people author next.
Value, by who you are
What Nexus changes for each seat at the table
Select a role.
The pain
AI sprawl, vendor lock-in, governance and cost — and you can't send corporate data to a vendor cloud.
How Nexus answers
One governed, sovereign AI layer over your whole estate — no lock-in, on-prem or air-gap capable.
For the CIO
Answers to the questions security will ask
Sovereignty by construction, not configuration — the control plane holds no customer data; the only egress is a data-free licence heartbeat
A runtime egress latch that refuses to boot unless inference is pinned to your own endpoint, and hard-blocks any call outside your perimeter
Bring your own model — OpenAI-family and Anthropic Claude lanes proven inside a customer's own cloud; keys never leave
On-behalf-of execution — the AI can never exceed the rights of the person who launched it; authorization is re-checked per request
Auditability — an append-only, replayable trace, a per-read document access log and separation of duties across audit planes
Encryption extended to the derived AI plane — abstracts, digests and claims are encrypted, not just the source data
Air-gap as a first-class mode, pull-only releases, and compliance engineered against Kazakhstan's AI and personal-data law
How Nexus compares
The one platform incumbents can't be all at once
The only Enterprise AI Foundation Platform that is sovereign, vendor-neutral, grounded in governed master data, trusted by construction and customer-authorable — all at once.
Typical approach
Powerful — but they live inside a vendor's cloud and estate, and your corporate data has to leave the perimeter to use them.
How Nexus differs
Sovereign and vendor-neutral across your whole estate, evidence-grounded and master-data-native — the things a vendor cloud can't be.
Typical approach
The aspirational governed-ontology “AI OS” — but cloud-bound, vendor-locked and a rip-and-replace you can't afford or allow.
How Nexus differs
Sovereign, lighter and faster, on your own infrastructure — and your own people author it, with no rip-and-replace.
Typical approach
They govern the data — and stop there. The AI is left as your problem.
How Nexus differs
It isn't “another MDM” — it's the corporate AI on governed data, agentic-native, expanding task after task.
Typical approach
Speed or control — but governance, audit and integration are built from scratch; six months in you've rebuilt half a platform.
How Nexus differs
Productized governance with evidence and trace by construction — and customer-authorable without the rebuild.
Comparisons are at the level of solution categories, not specific products; every product has its own strengths.
How adoption works
Land on one data problem, expand into a corporate AI your people grow
01
LandStart with a governed data problem — usually master-data deduplication and golden records.
02
Stand upDeploy Nexus inside your own infrastructure, wired to your identity and systems.
03
Go livePut the first governed scenarios into production, every write human-gated.
04
ExpandGrow across documents, records, project control and service desk.
05
Self-growYour own teams author new scenarios and tools on the capability plane.
Straight answers
What we won't overclaim
Nexus coexists with and governs over SAP, Oracle, 1C and Microsoft — it doesn't replace them, and never writes to a system of record without a human decision
Write-back to ERP and financial systems stays human-gated by design, not by limitation
Master-data matching is live on the first domains; validation at full batch scale is ongoing
It's a foundation for your AI, built on governed data — not a foundation model; it stays model-neutral
Questions from the CIO's desk
Entirely inside your own infrastructure. The data plane never leaves your perimeter, and a runtime egress latch blocks any model call to an endpoint you didn't authorize. ARBA's control plane holds no customer data.
Yours. Nexus is model-neutral with a per-purpose model selector; OpenAI-family and Anthropic Claude lanes have run inside a customer's own cloud. Your keys never leave the perimeter.
Yes — that's the capability plane. Your staff describe a process in plain language, Nexus proposes a governed scenario, and a governor reviews and activates it. A customer can author scenarios, but never authors privilege: every scenario stays bounded by the launching user's rights and human gates.
You land fast on a data problem — usually master-data deduplication — and prove value in weeks, then expand task by task. There's no multi-year platform build before the first outcome.
Yes. Air-gap is a first-class mode, releases are pull-only, and Nexus keeps running from cached bundles even if ARBA is unreachable.
Most MDM tools stop at the data; most agent platforms assume the data is already clean. Nexus brings the governed data foundation and the agentic capability plane together — sovereign and auditable. That combination is the point.
Bring your enterprise AI onto a foundation you control
Book a briefing and we'll walk your team through the architecture, the security model and where Nexus fits your estate.
