Your data should not become somebody else's dependency.
Sovereignty is created by giving the organisation control over where inference runs, where data resides, and which systems are allowed to access it. TELDAR AI brings advanced inference directly into the enterprise security perimeter.
Enterprise intelligence must live inside the enterprise.
Sovereignty is neither political marketing nor abstract compliance rhetoric. In an enterprise environment, sovereignty is an explicit engineering and architectural reality.
The Vulnerability of API Dependence
When an organisation embeds external SaaS LLM APIs into its operational core, it introduces multi-layered risks: confidential records traverse public clouds, terms of service change without notice, pricing models fluctuate, and external model versions can be deprecated or altered abruptly.
More critically, corporate intellectual property—the nuanced accumulation of internal legal reasoning, financial forecasts, and proprietary software—is continuously exposed to external logging and potential training corpus absorption.
Architectural Reality: Rather than relying on contractual privacy promises from foreign cloud conglomerates, genuine data sovereignty is achieved when mathematical inference executes on physical hardware governed by your organisation's cryptographic keys and access controls.
TELDAR AI guarantees direct organisational control across every operational dimension:
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Computation: Inference executed entirely on designated enterprise accelerators.
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Storage: Base checkpoints, expert deltas, and context caches persist on private media.
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Data Flows: Zero outbound socket connections, prompt logging, or external telemetry.
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Access Policies: Integrated with enterprise identity providers (LDAP, SAML, IAM).
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Lifecycle: Model versions remain indefinitely active and fully under internal control.
Isolated Security Perimeter
Inference, context vectorization, and expert activation occur strictly within your private network boundary.
Engineered for Confidential & Regulated Sectors
TELDAR AI is structured to solve the compliance, privacy, and sovereignty bottlenecks faced by organisations operating with strategic data.
Legal Practices & Corporate Counsel
Analyze contracts, regulatory filings, litigation materials, and privileged client correspondence without violating professional secrecy or attorney-client confidentiality rules.
Private Banking & Financial Institutions
Execute portfolio analysis, transaction auditing, risk modeling, and client communication analysis in full compliance with FINMA regulations and banking confidentiality mandates.
Strategic Manufacturing & Defense
Deploy machine intelligence directly adjacent to proprietary blueprints, patent disclosures, trade secrets, and air-gapped industrial control environments.
Public Administration & Healthcare
Process citizen records, statutory documents, and sensitive medical data under Swiss and European data protection frameworks with verified on-premise execution.
From Dedicated Appliances to Customer Infrastructure
From dedicated sovereign AI appliances to integration with customer-controlled GPU infrastructure, TELDAR AI is designed to bring advanced inference closer to the data.
An organisation should be able to deploy sophisticated AI without necessarily building a hyperscale datacentre. TELDAR AI has been engineered and validated on modern NVIDIA GPU systems, including NVIDIA GB10 and DGX Spark-class infrastructure.
Because our architecture uses sparse expert activation over an efficient 32-layer Apertus v1.5 8B backbone, the physical hardware footprint remains remarkably compact. Organizations can achieve responsive domain inference on compact dedicated nodes rather than sprawling GPU clusters.
Hardware Flexibility: TELDAR can provide turnkey deployments on dedicated, pre-configured hardware appliances or integrate seamlessly into compatible, customer-owned GPU clusters.
Deployment Models
Dedicated On-Premise Rackmount
Pre-configured hardware node delivered to your private datacentre. Fully initialized with base checkpoints, sparse domain experts, and local API gateway.
Existing Private GPU Infrastructure
Deploy containerized inference images into your private Kubernetes or bare-metal NVIDIA CUDA environment. Managed entirely by internal IT departments.