We design and deploy custom AI agent systems that run entirely within your own infrastructure — on-premise or private cloud — so your data never leaves your environment and your operations stay sovereign.
Cloud AI APIs process your data on external servers outside your control. For regulated industries, this is not a policy risk — it is a compliance failure. Self-hosted agents operate entirely within your own network boundary.
GDPR, HIPAA, EU AI Act, DORA, FedRAMP, and national data residency laws mandate that sensitive data stays within specific jurisdictions. Self-hosted deployment makes compliance structural — not contractual.
Cloud LLM providers cannot guarantee your data won't influence model training. Proprietary processes, client data, and competitive intelligence sent to external APIs represent IP exposure your legal team cannot accept.
API costs scale linearly with usage. Enterprises processing 500M+ tokens monthly reach self-hosting breakeven in 12–18 months, with 50–70% sustained savings after that. Predictable CapEx beats unpredictable API bills.
Co-locating compute and data eliminates API round-trip latency. For fraud detection, real-time decisioning, and industrial automation, on-premise inference is not a preference — it is a performance requirement.
Self-hosted deployment means you own the model weights, the fine-tuning process, the inference configuration, and the update cadence. No vendor lock-in. No capability constraints imposed by a third-party platform roadmap.
Most enterprises don't realise the exposure until an incident occurs. Sending proprietary data to external LLM providers creates compliance gaps, IP risk, and vendor dependency that cannot be patched with a terms-of-service review. For organisations in finance, healthcare, defence, and legal, self-hosted deployment is the only architecture that is structurally safe.
of organisations now cite AI-powered data leaks as their top security concern — driving unprecedented demand for air-gapped, self-hosted AI solutions that keep sensitive data completely under enterprise control.
PwC 2025: Data handling practices, retention policies, and potential use of enterprise data in model training remain outside corporate control when using cloud AI APIs. Most providers offer no contractual guarantee.
Alongside EU AI Act enforcement and DORA for financial services. Cross-border data transfers for AI processing are now a primary vector for regulatory penalties — fines that dwarf the cost of on-premise infrastructure.
Cloud AI dependency means pricing changes, capability restrictions, and service discontinuations sit entirely with the vendor. Organisations that build on third-party APIs own none of the stack that powers their operations.
Every engagement is scoped to your existing infrastructure, security requirements, and regulatory environment. We deploy the right configuration — not the most complex one.
Agents deployed on your own data centre hardware. Zero external network dependency. Air-gapped option available for defence, government, and classified environments.
Agents deployed on a dedicated private cloud instance — AWS GovCloud, Azure Private, or your own hosted environment. Data residency and sovereignty fully maintained.
Sensitive workflows routed to on-premise agents. Scalable burst workloads handled in private cloud. One orchestration layer coordinates both — no data boundary violations.
Agents deployed at the network edge for ultra-low latency applications — industrial automation, real-time fraud detection, and remote operations with intermittent connectivity.
Every agent inference, every decision, every data point processed remains within your network boundary. No external API calls, no third-party data handling, no cross-border data flows.
GDPR, HIPAA, EU AI Act, FedRAMP, and data residency requirements are satisfied at the architecture level — not through vendor contractual assurances that regulators increasingly reject.
Fixed infrastructure cost replaces variable API billing. Enterprises at production scale typically reach breakeven in 12–18 months with 50–70% sustained savings against equivalent cloud API spend.
Co-located compute and data eliminates network latency. Sub-5ms inference is achievable on-premise versus 80–200ms round-trip to cloud APIs — critical for time-sensitive operational decisions.
You own the weights, the fine-tuning history, the inference configuration, and the deployment cadence. No capability changes imposed by vendor roadmap. No service discontinuation risk.
Reduced attack surface with no external API dependencies. Air-gapped options available. Internal security policies, RBAC, and audit frameworks apply to every agent action without third-party exception.
| Dimension | Cloud AI APIs | Linksoft Self-Hosted Agents |
|---|---|---|
| Data Sovereignty | —Data processed on external servers outside your control | ✓All processing within your own network boundary |
| Regulatory Compliance | —Contractual assurances — not architectural guarantees | ✓GDPR, HIPAA, EU AI Act met at infrastructure level |
| IP Protection | —No guarantee data won't influence model training | ✓Zero external data transmission — complete IP control |
| Latency | —80–200ms round-trip to cloud API endpoints | ✓Sub-5ms achievable with co-located inference |
| Cost at Scale | —Linear cost scaling — bills grow with every query | ✓Fixed infra cost — 50–70% savings at production volume |
| Model Ownership | —Vendor controls capability, pricing, and availability | ✓You own weights, config, and update cadence |
| Security Posture | —External API dependency creates attack surface | ✓Air-gap capable — zero external network dependencies |
| Customisation | —Limited by provider's API surface and constraints | ✓Full fine-tuning, RAG config, and workflow control |
We audit your existing hardware, network topology, and security architecture to determine optimal deployment configuration and identify any infrastructure gaps before build starts.
Open-source foundation models (LLaMA, Mistral, Falcon) selected and fine-tuned on your domain data. All training occurs within your environment — weights never leave your boundary.
Multi-step agent workflows deployed on your infrastructure — tool integrations, memory management, escalation logic, and cross-agent coordination running entirely on-premise.
Role-based access, network isolation, audit logging, and anomaly detection configured to your security policy. Air-gap, RBAC, and immutable audit trails available as standard.
On-premise observability stack — model drift detection, performance dashboards, and automated alerting — all running within your infrastructure. SLA-backed support for ongoing operations.
| Sector | Regulatory Constraint | Agent Use Case | Deployment Config | Outcome |
|---|---|---|---|---|
| Financial Services | DORA, GDPR, FCA | Fraud detection, trade ops | On-Premise | 20% detection gain |
| Healthcare | HIPAA, EU AI Act | Clinical workflow automation | Private Cloud | 35% efficiency gain |
| Defence / Gov | FedRAMP, ITAR, FISMA | Intelligence, logistics agents | Air-Gapped | Full data sovereignty |
| Legal | Client privilege, GDPR | Contract analysis, research | On-Premise | 60% time saved |
| Manufacturing | IP protection, OT security | Predictive maintenance, QC | Edge / Hybrid | 22% less downtime |
| Insurance | Solvency II, GDPR | Claims, underwriting agents | Private Cloud | 325% YoY adoption |
We assess your existing hardware, network architecture, and compliance requirements. A gap analysis defines the optimal deployment configuration and identifies any prerequisite infrastructure changes.
Foundation model selected, fine-tuned on your domain data within your boundary. Inference infrastructure, vector stores, and orchestration layer deployed to your specification.
Multi-step agents built and integrated with your existing systems — ERP, CRM, databases, internal APIs. All tool connections scoped at the permission level your security policy defines.
Agents validated in staging, then progressively handed full operational control. On-premise monitoring dashboards, security controls, and SLA-backed support handed to your team.
