The platform
Six pillars. One sovereign platform.
Everything you need to run AI-powered operations inside your own infrastructure — without writing a single line of code.
Capabilities
Built for how organisations actually work.
Talk to your company
Query every system, document, and dataset your organisation holds — in plain language. Ask a question, get an answer grounded in your own data, with a verifiable source trail.
SynthetIQ indexes your structured and unstructured data in a way that lets natural-language questions reach across all of it simultaneously — from HR records to project documentation to operational logs.
Automate the routine
Describe the process in plain language. SynthetIQ builds the workflow. No code. No waiting for IT.
Approval flows, report generation, escalation rules, notification routing — tell the platform what should happen and it assembles the workflow, using only the systems and data you have already connected.
Run the day-to-day
Operations AI that keeps the machine moving — scheduling, prioritisation, cross-team coordination — without exposing your data to third-party clouds.
From daily stand-up summaries to resource allocation nudges, SynthetIQ is designed to embed itself into existing operational rhythms rather than replace them.
Stay in control
Every decision is auditable, reversible, and yours to own. Human override is always available.
Role-based permissions, approval gates, and a complete audit trail mean your teams — and your auditors — can always see what the AI did, why, and on whose authority.
Connects to your world
More than 30 connectors for the tools your teams already rely on, delivered over every channel they already use.
APIs, webhooks, file-share connectors, calendar systems, ticketing platforms, and communication channels — SynthetIQ is designed to work with your existing tooling stack, not replace it.
See everything
Full observability across every AI action. Nothing hidden, nothing left to chance.
A live operations dashboard surfaces what the platform is doing, what is queued, what has been completed, and any exceptions — so you are never flying blind.
How it works
Talk to your company — in plain language.
You
SynthetIQ
You
SynthetIQ
Illustrative example only — not a live interface. Responses are designed to be grounded in source documents held within your own environment.
Build by prompt
Describe the process. SynthetIQ builds the workflow.
No code. No waiting for IT. No specialist knowledge required.
Describe
Tell the platform what you want to happen — in plain language. "Every time a new supplier invoice arrives, extract the line items, match against the purchase order, and flag any discrepancy above 5%."
Review
SynthetIQ generates a workflow diagram showing every step, every condition, and every human approval gate. You review and adjust before anything runs.
Activate
Activate the workflow. It runs on your infrastructure, connected to the systems you have already integrated — no hand-off to a developer required.
Workflow generation is subject to the connectors and data sources you have configured. SynthetIQ does not modify external systems without explicit human approval.
Integrations
Connects to your world.
Designed to work with the tools and channels your teams already rely on — not replace them.
Productivity & documents
File storage, document libraries, spreadsheets, calendars
Ticketing & project management
Task boards, issue trackers, project timelines
HR & identity
Directory services, HR information systems, access management
Finance & ERP
Accounting platforms, ERP systems, purchase-order management
CRM & sales
Customer records, pipeline management, sales data
Custom & internal
REST/GraphQL APIs, webhooks, internal databases
Delivery channels
Additional connectors are available via the open connector SDK. Connector availability is subject to your deployment configuration.
Recursive Language Modeling
AI that holds coherence across your entire knowledge base.
Standard RAG retrieves fragments. RLM is designed to understand how your documents relate to each other — so answers stay coherent at scale.
The problem with fragmented retrieval
Conventional retrieval-augmented generation (RAG) fetches the most relevant text chunks. When your knowledge base is large, complex, or evolving, the model may generate plausible-sounding answers that contradict each other across documents — a phenomenon we call "context rot".
How Recursive Language Modeling addresses it
SynthetIQ's Recursive Language Modeling approach is designed to build and maintain a structured representation of relationships across your entire document corpus — so that as your knowledge base grows, coherence is preserved rather than degraded.
Verifiable, not just plausible
Every response is designed to carry a source trail back to the specific documents it drew from — so your teams can distinguish what is verifiable data from what is model inference.
RLM is an architectural approach, not a guarantee of perfect accuracy. Always apply human judgment to AI-generated outputs, particularly for consequential decisions.
Deployment options
On your infrastructure. On your terms.
SynthetIQ is designed to deploy wherever your data governance requirements place it.
On-premises
Full deployment on hardware you own and operate. No outbound network dependency. Designed for the most stringent data sovereignty requirements.
Your cloud region
Deploy within a cloud region of your choosing — keeping data residency entirely within your jurisdiction while benefiting from managed infrastructure.
Air-gapped capable
Designed to operate without internet egress where required. Suitable for environments where connectivity is a security risk, not an assumption.
Model flexibility
Switch between on-device models (running entirely within your environment) and managed models (accessed via a secure, configurable API) — or run a hybrid. No vendor lock-in. Your model strategy can evolve without re-architecting the platform.
Deployment option capabilities are subject to your specific infrastructure configuration and licensing tier. Air-gapped operation requires on-device models.
Ready to see the platform in your context?
We map what a sovereign AI deployment could look like for your specific infrastructure, data landscape, and compliance requirements.