Semurg reads from your existing systems and connects them into a single intelligence layer. Nothing is replaced. Nothing is migrated. You just gain the ability to ask a question across all of it — and get an answer that’s cited, verified, and immediate.
Every system. Zero answers.
Your organisation runs on dozens of platforms - ERP, document management, asset tracking, compliance, email, spreadsheets, legacy databases. Each does its job. None of them know what the others hold.
The gap is not information. It’s connection.
The gap is not information. It’s connection.
Problem 1:
AI you can’t use
Your teams see what AI can do. But the models that deliver it run on external infrastructure, under jurisdictions you didn't choose. Sending operational data or personal information to an external API creates exposure that most compliance frameworks can't accommodate. The capability exists. The path to using it safely doesn't.
Problem 2:
Knowledge that can’t be reached
Your organisation knows more than any person in it can access. Every report, procedure, inspection, contract, and email holds a piece of the picture. But they were written by different people, stored in different systems, and filed under logic that left with whoever created it. When someone needs the full picture — for a decision, an audit, an investigation — they spend days manually hunting, cross-referencing, and hoping they haven't missed the one document that changes the answer. The knowledge exists. Nobody can ask it a question.
Problem 3:
Systems that report the past, not the future
Everything in your operation is connected. A delay in one place becomes a problem in another. A worn part on one machine is a warning about every machine like it. A missed reading today is Thursday's shutdown. But your systems don't see connections — they see individual records in individual databases. Each one is accurate. None of them can tell you what happens next.
Semurg is a Universal Intelligence Substrate. It connects to your existing infrastructure in read-only mode — databases, document stores, operational platforms, email archives, telemetry feeds — and maps every entity and every relationship into a living graph. It does not require migration. It does not compete with your systems of record. It makes them collectively intelligible.
Everything runs inside your perimeter. The AI models that power comprehension, summarisation, and prediction operate on your hardware, in your rack. If your organisation chooses to use external AI models for specific tasks, the sensitive information is identified and tokenised before it leaves your boundary, and reassembled when the answer returns. No PII reaches the external model. The user sees no difference.
Evolution, not revolution. Every system you have continues to do what it does well. Semurg adds what none of them can do alone: understand the whole.
Everything runs inside your perimeter. The AI models that power comprehension, summarisation, and prediction operate on your hardware, in your rack. If your organisation chooses to use external AI models for specific tasks, the sensitive information is identified and tokenised before it leaves your boundary, and reassembled when the answer returns. No PII reaches the external model. The user sees no difference.
Evolution, not revolution. Every system you have continues to do what it does well. Semurg adds what none of them can do alone: understand the whole.
Read more about SAIG here
Your organisation defines the policies:
Use any AI. Nothing sensitive leaves the building.
Most regulated organisations can't let employees use external AI models because sensitive data might leave the perimeter. SAIG solves this.
SAIG governs what goes out. When employees interact with any external AI model your organisation provides - any provider, any model - SAIG identifies and masks sensitive information before the query leaves the perimeter. Your people get full AI capability. Your data stays governed.
You define the policies. SAIG ships with comprehensive detection defaults covering personal information, financial data, government identifiers, and more. Your admin adds custom categories specific to your operations – internal project codes or infrastructure identifiers, whatever your compliance requires.
For the user, the experience is indistinguishable from using the AI directly. For the organisation, no sensitive data released to a third party.
Every interaction is logged into the knowledge graph. Over time, this builds a continuous picture of how your organisation uses AI — what people need to know, where expertise gaps exist, and which teams are getting the most value. SAIG doesn't just govern AI usage. It makes that usage visible, measurable and auditable.
SAIG governs what goes out. When employees interact with any external AI model your organisation provides - any provider, any model - SAIG identifies and masks sensitive information before the query leaves the perimeter. Your people get full AI capability. Your data stays governed.
You define the policies. SAIG ships with comprehensive detection defaults covering personal information, financial data, government identifiers, and more. Your admin adds custom categories specific to your operations – internal project codes or infrastructure identifiers, whatever your compliance requires.
For the user, the experience is indistinguishable from using the AI directly. For the organisation, no sensitive data released to a third party.
Every interaction is logged into the knowledge graph. Over time, this builds a continuous picture of how your organisation uses AI — what people need to know, where expertise gaps exist, and which teams are getting the most value. SAIG doesn't just govern AI usage. It makes that usage visible, measurable and auditable.
- Which AI providers employees can access
- Which data categories are protected — and what happens when they're detected (mask, flag, or block)
- Custom sensitivity rules for your industry
- Deploys on any cloud, on-premise inside your perimeter, or completely air gapped with no external calls at all
SAIG — AI Governance.
PRODUCT 01
When someone retires, their thirty years of institutional knowledge doesn’t walk out the door. It stays — permanently queryable, cited, and connected to everything it relates to.
Every file. Every format. Every silo. Connected, queryable, and cited to source.
A regulator requests documentation covering four years of maintenance procedures at a generation site. Three people across two teams spend the next four days assembling the response. They search six SharePoint sites, two network drives, and an email archive. They’re not sure they’ve found everything. The senior engineer who managed that site retired last year, and the filing system went with him.
Cortex connects to all of these sources simultaneously — SharePoint, network drives, email servers, legacy databases, cloud storage — in read-only mode. It ingests every file format: text documents, PDFs, spreadsheets, engineering drawings, scanned inspection reports, presentations, audio, video. It reads them, comprehends them, and maps every entity, every topic, every relationship into a knowledge graph where documents are connected not just by keywords but by meaning.
Any authorised user can then ask a question in plain English. The answer comes back in seconds, with citations to the specific documents that support it. Not a list of search results. An actual answer, traceable to source. If the answer doesn’t exist in the corpus, Cortex says so — it does not fabricate.
Cortex connects to all of these sources simultaneously — SharePoint, network drives, email servers, legacy databases, cloud storage — in read-only mode. It ingests every file format: text documents, PDFs, spreadsheets, engineering drawings, scanned inspection reports, presentations, audio, video. It reads them, comprehends them, and maps every entity, every topic, every relationship into a knowledge graph where documents are connected not just by keywords but by meaning.
Any authorised user can then ask a question in plain English. The answer comes back in seconds, with citations to the specific documents that support it. Not a list of search results. An actual answer, traceable to source. If the answer doesn’t exist in the corpus, Cortex says so — it does not fabricate.
- Reads from your existing systems
- Every answer cites the source document — traceable, not generated
- Respects access controls — users see only what they’re permitted to see
- The knowledge graph grows as new documents enter — connections form automatically
Read more about Cortex here
Cortex — Digital Asset Intelligence.
PRODUCT 02
Read more about Pulse here
Pulse is in active development, emerging naturally from the Cortex knowledge graph. The more operational history the graph accumulates, the more failure patterns and consequence chains it can recognise. The direction is clear: a system that doesn't just show you what happened, but traces what will happen next.
Your entire operation — connected, live, and seeing what’s coming.
A conveyor belt goes down at a port for ten minutes. In a traditional system, someone logs the downtime. Somewhere else, a train dispatcher adjusts a schedule. Somewhere else again, a shipping coordinator discovers tomorrow that a vessel incurred a demurrage fee because the stockyard overflowed because the train was rerouted because the conveyor was down. Three systems recorded three facts. Nobody saw the chain.
Pulse is being built to see it.
It connects to your operational systems — ERP, asset management, telemetry, logistics, scheduling — in read-only mode, and maps every entity and every dependency into a live operational graph. A part is not a row in a database. It’s a node connected to the machine it’s installed in, the customer who owns that machine, the service commitment tied to it, the workshop that last rebuilt it, and the supply chain that feeds it. When something changes anywhere in the graph, the consequences propagate in real time across every connected relationship.
Pulse is being built to see it.
It connects to your operational systems — ERP, asset management, telemetry, logistics, scheduling — in read-only mode, and maps every entity and every dependency into a live operational graph. A part is not a row in a database. It’s a node connected to the machine it’s installed in, the customer who owns that machine, the service commitment tied to it, the workshop that last rebuilt it, and the supply chain that feeds it. When something changes anywhere in the graph, the consequences propagate in real time across every connected relationship.
- Connects to existing operational systems in read-only mode - no data migration, no disruption
- Maps relationships between assets, people, commitments, and operations automatically
- Cascade prediction - a delay at one location surfaces every downstream consequence
- In development - capability grows as the knowledge graph deepens
Pulse — Real-Time Operational Intelligence.
PRODUCT 03
Semurg does not compete with your systems of record. It reads from them. Every connection is read-only. Your ERP continues to manage transactions. Your SharePoint continues to store documents. Your asset management system continues to track equipment. Semurg adds the layer that lets someone see across all of them as a unified, living whole — without asking anyone to change how they work or where they store data.
The principle
Your organisation chose those systems for good reasons. We connect to the investment you’ve already made. We don’t ask you to rip anything out.
Sovereign by Default, Open by Choice
The intelligence layer, the AI models, and the knowledge graph all run inside your perimeter — on your hardware or within a sovereign cloud environment under your jurisdiction. No data leaves unless your organisation explicitly chooses to route specific queries through an external AI model, in which case SAIG tokenises sensitive information before it departs. The boundary is architectural, not contractual.
The System Moves With the World
When a document is ingested, it becomes queryable and connected to the knowledge graph as it enters — not after an overnight processing run. When a part’s status changes in the ERP, the operational graph reflects the change and its downstream consequences immediately. This is not a system that shows you a snapshot from fifteen minutes ago. It reflects the state of your operation as it stands right now.
Intelligence Through Relationships
Most platforms index data. Semurg maps the relationships between data. A procedure is connected to the regulation it satisfies, the equipment it applies to, the training material based on it, and the incident report that cited it. A part is connected to the machine it’s installed in, the customer who depends on that machine, and the service commitment that depends on the part being available.
These connections are what make the intelligence possible — and they form automatically as data enters the graph. The more data, the more relationships. The more relationships, the more precise the answers.
These connections are what make the intelligence possible — and they form automatically as data enters the graph. The more data, the more relationships. The more relationships, the more precise the answers.
Connects to everything. Disrupts nothing.
Industry
Deployable across industries where the cost of not knowing is not theoretical.
Industries.
Where the intelligence layer applies
Sovereign document intelligence for classified and sensitive environments. Cross-agency knowledge sharing without data movement. Air-gapped deployment for the highest security requirements.
Pit-to-port operational graphs where a conveyor delay cascades into a shipping penalty. Predictive maintenance from raw telemetry. Parts provenance across rebuild cycles.
Regulatory evidence assembly in minutes instead of days. Queryable operational knowledge across generation sites. Maintenance procedure alignment with licence conditions.
AI governance that lets teams use external models without exposing client data. Regulatory evidence compilation across document silos. Contract intelligence with cited precedent.
Precedent search across hundreds of agreements, opinions, and filings. Contract clause intelligence. Evidence compilation for disputes and regulatory matters.
Your infrastructure. Your jurisdiction. Your boundary.
Semurg deploys where your governance requires it. Every deployment model keeps your data sovereign by default.
On-Premise.
Runs on your hardware, in your data centre. Standard server infrastructure. The intelligence layer, the AI models, and the knowledge graph all operate inside your rack. Nothing leaves. Nothing depends on external connectivity.
Sovereign Cloud.
Deploys within Australian or regional sovereign cloud environments under your chosen jurisdiction. No foreign government can compel access to your data. The sovereignty is jurisdictional, not just contractual.
Air-Gapped.
For Defence, intelligence, and classified environments. Fully isolated deployment with zero external connectivity. Every capability — ingestion, comprehension, querying, prediction — runs locally as a self-contained intelligence system.
We’d rather show you than tell you.
Bring a scenario your organisation faces today — a document that should be findable but isn’t, an operational question that requires three phone calls to answer, a compliance request that takes a week to assemble. We’ll connect Semurg to representative data and demonstrate the answer live.
No slides. No scripted demos. Your scenario, your data shape, your questions.
No slides. No scripted demos. Your scenario, your data shape, your questions.