What is sovereign AI?

AI that runs entirely inside your organization's perimeter or jurisdiction: private models, on-premises or private-cloud inference, no external APIs and no training on your data, so sensitive information never leaves your control.

Can we use generative AI without sending data to the cloud?

Yes. We deploy private LLM environments and on-device models that answer, summarize, extract and detect without any call to a third-party API — the approach we used for Québec Law 25 personal-information detection.

What is an AI agent in an enterprise context?

Software that acts inside your systems of record — ERP, CRM, identity, document platforms — to execute multi-step processes with guardrails, auditability and human approvals where the cost of a mistake is real.

How long does an enterprise AI program take?

A focused pilot on real data typically runs 6 to 12 weeks; a production program with integration, governance and operating model is planned in phases of 3 to 6 months.

Do you work outside Canada?

Yes. We deliver across Saudi Arabia, the UAE and the GCC through MPIRE Invest Technology, a UAE mainland company, and with Oracle partners SAMA Systems and Raya International Services.

Enterprise AI, Sovereign AI & AI Agents | SOFT M POWER CANADA

Sovereign by design

Real AI capability without exporting your data. Our reference architecture for regulated organizations:

Models run inside your perimeter — on-premises or in a private cloud in your jurisdiction

Inference without external APIs — no request ever reaches a third party

No training on your data — frozen, auditable models

Guardrails encoded, not documented — what an agent can never do

Full auditability — every action traceable to an input and a decision

Humans where it matters — approvals where the cost of a mistake is real

Data residency compliance — Québec Law 25, Saudi PDPL, UAE data-residency requirements

Integration first — ERP, CRM, identity and document systems before autonomy

Sovereign AI · Law 25

On-device AI for personal-information detection

Challenge: A document management platform had to locate personal information across thousands of documents to comply with Québec's Law 25, without sending a single document to the cloud.
Solution: An autonomous AI service installed on a dedicated machine inside the client's network: four detectors in parallel (two named-entity-recognition models on the machine's neural engine, entity dictionaries, 79 pattern rules) and a three-stage reconciliation with algorithmic validation.
Technology: Frozen NER models (CamemBERT, multilingual DistilBERT) compiled to Core ML, Python services, MariaDB integration, algorithmic checks (Luhn, RAMQ, MRZ, IBAN).
Impact: 42 categories of personal information detected automatically — zero cloud, zero external API, no LLM. Documents never leave the premises.

AI product · Regulated industry

DomiSpect: AI-assisted inspection reports

Challenge: Building inspectors spent four to six hours after each visit writing a compliant report and sorting evidence by hand, often without connectivity on site.
Solution: A SaaS platform that builds the report during the inspection: structured dictation mapped to the regulatory structure, photo and evidence management, an AI review pass before signature and a fully offline mode.
Technology: Cloud SaaS with mobile application, AI-assisted report generation and review, offline-first synchronization, built for Québec's RBQ framework.
Impact: Report writing reduced from 4–6 hours to under one hour per inspection, with every finding documented and traceable.

GCC · Oracle Fusion Cloud

ERP migration with automated validation in the Gulf

Challenge: Move a complete Oracle E-Business Suite landscape — financials, HR and payroll, supply chain, procurement, asset management — to Oracle Fusion Cloud for a large public-sector organization in Saudi Arabia, while keeping more than ten third-party integrations alive (ZATCA, GOSI, banks, POS, hospital systems).
Solution: A module-by-module migration map, automated extraction, cleansing, mapping and load pipelines with reconciliation at every stage, and repeatable runbooks for each wave — delivered with Oracle partner SAMA Systems (Riyadh).
Technology: Oracle E-Business Suite, Oracle Fusion Cloud (ERP, HCM, SCM, Procurement, EPM), migration and validation automation, data profiling and reconciliation tooling.
Impact: 25+ modules migrated with automated validation instead of manual rework; national integrations preserved through cutover; a migration playbook reused across Oracle programs in the Gulf, including an Oracle Cloud data-residency relocation from Frankfurt to Dubai.

Enterprise AI, built to run in production

How we help

Enterprise AI transformation

Private & sovereign AI, AI agents

AI architecture & program delivery

Sovereign by design

Proof, not slides

On-device AI for personal-information detection

DomiSpect: AI-assisted inspection reports

ERP migration with automated validation in the Gulf

AI-powered products designed and built by our team

DomiSpect

AxisOne

OpsSecureHub

InvoiceFlow

FinSync

AEGIS DRP

Jurisync

Law 25 AI component

Law 27 platform

Where we deliver

Frequently asked questions

Ready to put AI into production?