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On-premise AI assistants, encrypted file infrastructure, and document intelligence — engineered to deploy inside your network and never reach beyond it. Built in Europe for organizations that cannot outsource their data.
Trusted by leading organizations in
- Public Sector
- Financial Services
- Healthcare
- Legal
- Defense
- Higher Education
The procurement conversation, after the demo.
A selection of paraphrased feedback from organizations evaluating or running our software. Attributable case studies and named references available on request.
We needed AI that could read our internal documents without those documents leaving our perimeter. Royal Softworks delivered a system our information-security team actually approved.
Head of Information SecurityEuropean public-sector agencyThree vendor demos in, this was the only stack that gave us a sensible answer on residency. Six months in, our analysts query a knowledge base they used to spend half a day searching.
Chief Information OfficerMid-market financial servicesWe replaced a cloud document-management contract with an on-premise install and recouped the licence cost inside the first year. Compliance review was a non-event.
Director of OperationsRegional law firm, 220 staffAir-gapped install on hardware we already owned. The team trained it on our procedures. Patient data never moves.
Hospital IT LeadPublic hospital networkThe procurement conversation changed once we showed legal that the model itself runs on our infrastructure. Approval cycle went from quarters to weeks.
VP of EngineeringEnterprise SaaS, regulated industriesOur analysts used to ask each other where to find things. Now they ask the system, and the answer comes with a citation back to the source document.
Knowledge Management LeadInternational consulting practice
Outcomes, not promises.
Replacing a cloud document-search contract with an on-premise install
ChallengeA mid-size asset manager needed semantic search across 1.4M internal documents — and could not allow them to leave the EU.
OutcomeDocuments indexed locally; query latency under 800ms.
Air-gapped AI assistant for a regulated agency
ChallengeAgency staff needed an internal knowledge assistant with zero outbound network capability for a classified workstream.
OutcomeFull on-prem stack with local LLM and signed offline licence renewal flow.
Document intelligence without exposing patient records
ChallengeA hospital group needed OCR and search across decades of patient correspondence held on local file servers.
OutcomeDocuments stay on-site; clinical staff search across years of paperwork in seconds.
Fourteen products. Built to solve real problems.
On-premise AI, secure file infrastructure, hospitality technology, voice AI, and social tools — each product engineered with the same commitment to quality, privacy and craft.
The business case for keeping AI inside your building.
Not a privacy stance for its own sake — a measurable operational and financial advantage for organizations that already own the infrastructure to support it.
Your data stays on your hardware. By architecture, not by configuration.
Inference, indexing, embeddings and storage all run inside your network perimeter. No outbound calls to a vendor model. No telemetry pipe you forgot to disable. The product can be installed on an air-gapped machine and continue to work indefinitely.
GDPR, ISO 27001, and sector-specific frameworks aligned at the design level.
Data-residency and access-control are properties of the stack, not add-ons. Audit trails are built in. The legal review for an on-premise install is typically smaller than for a cloud SaaS evaluation, because there is less surface to assess.
Your operations don't pause when a cloud provider has an outage.
Local products keep running through a vendor outage, a regional incident, or a sudden contract renegotiation. The software runs on the same hardware you already own. There is no kill-switch held by anyone else.
Predictable pricing
Clear per-seat pricing. No usage-based cloud fees that scale unpredictably with your team's productivity.
Your IP stays your IP
Internal documents, proprietary methods, and client data are never used to train anyone else's model.
Reclaim measurable hours
Teams spend less time searching and reformatting. Customers report material productivity gains within a quarter.
Built for organizations that can't outsource their data.
Customers come from sectors with strong governance requirements — and from teams that simply prefer to own their stack.
Protect IP. Reduce compliance overhead. Accelerate decisions.
Enterprise teams handle sensitive internal knowledge daily — strategy documents, contracts, financial models. We give your organisation AI that operates inside your network perimeter, with governance built in.
- AI assistant trained on internal documents
- Secure file exchange across departments and partners
- Sub-second classification and retrieval
- Centralised access control and audit logs
Talk to the team that actually builds the software.
Pilot deployments, volume licensing, product demos, security questionnaires — all handled by engineers and product leads, not a routing layer. We respond within one business day.
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