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 what it was designed to do. But no system understands the relationships between the data it holds and the data in the system next to it. The gap is not information. It’s connection.
Problem 1:
AI you’re not allowed to use
Your teams see what AI can do. They want to query documents, surface patterns, predict failures. But the models that deliver these capabilities run on external infrastructure, under jurisdictions you didn’t choose. Sending operational data, commercial terms, or personally identifiable information to an external API creates exposure that most compliance frameworks can’t accommodate. The capability exists. The path to using it responsibly is unclear.
Problem 2:
Knowledge that exists but can’t be reached
A safety procedure references a regulatory standard that governs equipment at a specific site. A training module was written based on that procedure. An incident report cites it. A board paper from three years ago evaluated compliance with the regulation it satisfies. All of these documents exist. None of them know about each other. They sit in different SharePoint sites, different network drives, different email archives — filed by different people, in different years, under naming conventions that only the person who filed them understood.
The knowledge is there. The connections between the knowledge are not.
The knowledge is there. The connections between the knowledge are not.
Problem 3:
Systems that report the past, not the future
Current operational platforms record what has already happened. A part was issued. A machine was serviced. A shipment was dispatched. But they cannot tell you that a two-day delay at one workshop will cascade into a missed customer commitment at a site four hundred kilometres away by Thursday. They cannot model the downstream consequences of a decision before it’s made. They show you the state of the world as it was. Not as it’s becoming.
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.
For the user, the experience is indistinguishable from using the AI directly. For the organisation, no sensitive data ever reached the model. For the AI provider, it processed a query that contained nothing it shouldn’t have.
Use any AI. Nothing sensitive leaves the building.
Your people want to use the world’s best AI models — for document analysis, summarisation, research, decision support. The barrier is not capability. It’s governance. Every query sent to an external model carries the risk that sensitive information — names, credentials other personally identifiable data — reaches infrastructure the organisation does not control.
SAIG resolves this without asking anyone to change how they work. It sits between your users and any external AI model. Before a query leaves your perimeter, SAIG identifies personally identifiable information and data your organisation defines as protected, and replaces it with meaningless tokens. The external AI receives a clean, de-identified prompt. It processes the query. The answer returns. SAIG reassembles it with the original context and delivers the full response to the user.
SAIG resolves this without asking anyone to change how they work. It sits between your users and any external AI model. Before a query leaves your perimeter, SAIG identifies personally identifiable information and data your organisation defines as protected, and replaces it with meaningless tokens. The external AI receives a clean, de-identified prompt. It processes the query. The answer returns. SAIG reassembles it with the original context and delivers the full response to the user.
- Connects to any external AI model your organisation selects
- PII and sensitive data categories defined by the organisation, not the vendor
- Deploys as a sovereign layer inside your perimeter
- Or run entirely local AI models with no external calls at all — sovereign by default, open by choice
SAIG — Sovereign AI Gateway.
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 and specific passages 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 and specific passages 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 — nothing is moved, copied, or migrated
- Every answer cites the source document and passage — traceable, not generated
- Respects your existing access controls — users see only what they’re permitted to see
- The knowledge graph grows as new documents enter — connections form automatically
Cortex — Digital Asset Intelligence.
PRODUCT 02
The system doesn’t just show you what happened. It shows you what will happen if nothing changes — and what will happen if you intervene. Before a decision is made, the entire downstream cascade is visible.
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 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.
The system doesn’t just show you what happened. It shows you what will happen if nothing changes — and what will happen if you intervene. Before a decision is made, the entire downstream cascade is visible.
Pulse 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.
The system doesn’t just show you what happened. It shows you what will happen if nothing changes — and what will happen if you intervene. Before a decision is made, the entire downstream cascade is visible.
- 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
- Scenario simulation — model the impact of a decision before making it
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.
Replaces nothing, unless you want it.
Industry
Deployable across industries where the cost of not knowing is not theoretical.
Industries.
Where the intelligence layer applies
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.
Sovereign document intelligence for classified and sensitive environments. Cross-agency knowledge sharing without data movement. Air-gapped deployment for the highest security requirements.
AI governance that lets teams use external models without exposing client data. Regulatory evidence compilation across document silos. Contract intelligence with cited precedent.
Patient data sovereignty with full AI capability. Clinical knowledge bases that answer with citations. Compliance documentation across distributed care environments.
Precedent search across hundreds of agreements, opinions, and filings. Contract clause intelligence. Evidence compilation for disputes and regulatory matters.
Research archive intelligence spanning decades. Institutional knowledge that survives staff turnover. Compliance reporting with verifiable source citations.
Live operational graphs where a supplier delay surfaces every downstream consequence. Parts tracking across complex multi-party networks. Scenario simulation for routing and allocation.
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.
Documents, images, telemetry archives, engineering drawings — stored encrypted, versioned, and accessible at the same speed as the intelligence that references them. Some organisations can use it for their most critical files, others — as the primary store. The architecture supports both, and the choice evolves naturally over time.
It is universal because the architecture is domain-agnostic. The same substrate that connects a mining operation’s telemetry to its supply chain connects an energy company’s regulatory filings to its safety procedures. The same substrate that governs a bank’s AI interactions with client data governs a defence agency’s classified document landscape. The products above it — SAIG, Cortex, Pulse — are how specific industries experience the intelligence. The substrate beneath them is constant.
It is universal because the architecture is domain-agnostic. The same substrate that connects a mining operation’s telemetry to its supply chain connects an energy company’s regulatory filings to its safety procedures. The same substrate that governs a bank’s AI interactions with client data governs a defence agency’s classified document landscape. The products above it — SAIG, Cortex, Pulse — are how specific industries experience the intelligence. The substrate beneath them is constant.
In biology, it’s the surface organisms attach to. In electronics, it’s the base layer circuits are built on. In both cases, the substrate is not the thing — it’s what makes everything else possible.
Semurg is the intelligence substrate. It sits beneath your data, your documents, and your operations. It reads from every system you have. It maps the entities they contain and the relationships between them into a living graph — where every node is something real (a document, a part, a person, a regulation, a machine) and every edge is a relationship the system discovered by comprehending what it read. The graph doesn’t just store references. It understands context.
Alongside the graph, the substrate includes its own secure, encrypted object storage — built to hold the files themselves when an organisation wants them closer to the intelligence layer. Not as a replacement for existing repositories, but as a sovereign, high-performance tier available alongside them.
Semurg is the intelligence substrate. It sits beneath your data, your documents, and your operations. It reads from every system you have. It maps the entities they contain and the relationships between them into a living graph — where every node is something real (a document, a part, a person, a regulation, a machine) and every edge is a relationship the system discovered by comprehending what it read. The graph doesn’t just store references. It understands context.
Alongside the graph, the substrate includes its own secure, encrypted object storage — built to hold the files themselves when an organisation wants them closer to the intelligence layer. Not as a replacement for existing repositories, but as a sovereign, high-performance tier available alongside them.
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.