LAW
Legal reasoning and legal-domain language. Validated against Swiss legislation, case law, parliamentary acts and structured legal commentary.
197K+ Validated Legal Q&A
Sovereign Intelligence.
Built for Enterprise.
TELDAR AI is a Swiss sovereign sparse-expert artificial intelligence architecture designed for organisations that require advanced AI capabilities without surrendering control of their data, infrastructure or intellectual property.
~30B
Combined Expert Capacity
4 Domains
Sparse Specialist Branches
On-Premise
Zero Mandatory API Egress
ARCH-FIG 01 // SPARSE ACTIVATION TOPOLOGY
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Enterprise Positioning
AI that stays under your control.
Enterprise intelligence should not automatically require transmitting corporate knowledge to external commercial APIs. TELDAR AI is engineered to live directly inside your sovereign boundary.
CONTROL VECTOR 01
Confidential Data
Your prompts, documents, internal records and proprietary know-how remain strictly on customer-controlled infrastructure. No queries are logged, analyzed or reused by third-party SaaS model vendors.
CONTROL VECTOR 02
Dedicated Infrastructure
Designed to operate on dedicated hardware or private cloud enclaves. From compact sovereign appliances to enterprise GPU clusters, compute remains where data naturally resides.
CONTROL VECTOR 03
Domain Specialisation
Unlike generic chatbot wrappers, TELDAR AI couples a shared intelligence backbone with specialized expert capacity trained on deeply curated legal, financial and enterprise corpora.
CONTROL VECTOR 04
Intellectual Property
Strategic corporate intelligence remains your enterprise asset. Retain complete ownership over your domain adaptations, fine-tuned weights and workflow integrations.
Modular Intelligence
One foundation. Four specialised experts.
TELDAR AI combines approximately 30 billion parameters of specialised model capacity through a sparse expert architecture. Only the relevant specialised capacity needs to participate in a given inference path.
FINANCE
Financial analysis, specialised market terminology, corporate reporting and regulated accounting structures.
Domain FFN Projections
MARKETING
Commercial strategy, brand narrative, nuanced multilingual enterprise communication and client-facing text.
Strategic Language
CODE
Software engineering, syntax comprehension, algorithm design and automated technical problem solving across enterprise codebases.
Syntax & Logic Specialisation
Architectural Principle: TELDAR AI does not treat the complete parameter set as a monolithic dense model for every single token. Domain-specific Feed-Forward Network (FFN) parameters activate conditionally, providing deep specialized competence with high computational efficiency.
Deep Engineering
Shared attention backbone, specialised FFN capacity.
An essential architectural insight of TELDAR AI is that specialised enterprise intelligence does not require maintaining four disconnected models.
A shared attention backbone maintains coherent general language and reasoning behaviour, while domain-specific feed-forward capacity provides specialised expertise.
32
Transformer Layers
Preserves global syntactic coherence and multi-head attention context across all 32 layers.
FFN
Targeted Projections
Domain weights are isolated from attention parameters, preventing degradation of fundamental reasoning.
~30B
Combined Expert Capacity
Aggregates deep sector capability while maintaining sparse execution during local inference.
FIG 02 // TRANSFORMER LAYER SPECIALISATION
PEFT / LoRA RANK 32
215M+
Records processed and deduplicated.
TELDAR's corpus engineering pipeline has processed and deduplicated more than 215 million records, from which controlled datasets can be selected for domain adaptation and expert training.
Ingestion
Normalization
Classification
Deduplication
Domain Allocation
Privacy Review
Quarantine
Leakage Controls
Controlled Engineering
Advanced sovereign AI cannot rely purely on prompt engineering over closed APIs. Rigorous dataset curation ensures domain fluency, document-level leakage controls, and verifiable validation baselines.
* Note: Internal corpus metrics represent processed records in TELDAR engineering pipelines, not unfiltered raw web text.
Enterprise Trust
Sovereign by architecture, not by rhetoric.
Sovereignty is created by giving the organisation control over where inference runs, where data resides, and which systems are allowed to access it.
DEPLOYMENT SPEC 01
Local Inference
Run machine learning workloads directly on local hardware. Zero external network egress means prompts, financial data and legal drafts never leave your perimeter.
DEPLOYMENT SPEC 02
Private Infrastructure
Deploy on customer-controlled GPU infrastructure or dedicated enterprise appliances. Fully compatible with enterprise security policies and strict network air-gaps.
DEPLOYMENT SPEC 03
Domain Precision
Tailored expert capacity for highly regulated enterprise sectors, avoiding the hallucinations and linguistic dilution typical of general-purpose chatbots.
DEPLOYMENT SPEC 04
No Mandatory Public LLM API
Eliminate vulnerability to external API outages, sudden price revisions, forced terms-of-service modifications, or arbitrary third-party model deprecations.
Swiss Engineering
Developed in Lausanne for organisations that consider AI infrastructure strategic.
TELDAR AI is an initiative of TELDAR SARL, based in Lausanne, Switzerland. We engineer AI architectures designed to withstand the highest institutional scrutiny for confidentiality, data independence and technical integrity.
TELDAR SARL
·
Galeries Benjamin Constant 1
·
1003 Lausanne
Bring intelligence closer to your data.
Discuss your organisation's data sovereignty requirements, explore our sparse expert architecture, or evaluate dedicated on-premise deployment.