AI-Powered Security. Built by Norwegian Engineers.
Custom AI models, visual workflow automation, and the first live-trainable AI, designed and operated by Norwegian security engineers. LoRA fine-tuning, RAG vector search, MCP agents and continuous learning on your own data. 100% sovereign infrastructure, from GPU to chat.
Nine Pillars of the AI Platform
A production-ready AI platform engineered for security and enterprise workloads. Train on your data, automate with visual workflows, and deploy with full governance on sovereign Norwegian infrastructure.
Visual Workflow Builder
Drag-and-drop AI workflows on a live canvas. LLM inference, logic and loops, document analysis, JSON extraction, Q&A generation, event triggers, scheduled runs, real-time execution results. No code required. From idea to production in minutes.
Multi-Model LoRA Training
Train per-team, per-department or per-user models with sparse LoRA adapters on top of shared base weights. About 26 MB per adapter, around 50 KB compressed, so 38,000 users fit on a single 1 TB drive.
RAG & Vector Search
Retrieval-augmented generation with a built-in vector store. Semantic search over SharePoint, file shares, databases and internal docs. The model answers with citations from your real content.
RBAC & Governance
Per-team, per-model and per-tool access control with full audit trail and SSO / SAML integration. Data and adapters stay isolated by business unit. Compliance-aware filters keep restricted content out of training.
MCP Agents & Tooling
Agentic AI with Model Context Protocol tool support. Function-call into your internal APIs, scripts and systems. Build assistants that search, fetch, compute, then act, with a full trace of every tool call.
40+ Data Connectors
Bring your data to the AI. SharePoint, SQL / Postgres / MongoDB, REST APIs, S3 / Azure Blob, Confluence, Jira, ticketing systems, email, file shares and more. Schedule sync, stream updates, or trigger on event.
CLSK, the Live-Trainable Model
The first AI that learns while it serves. Continuous Learning with Sparse Knowledge. Sparse routing selects the minimal weights to update, double-buffered LoRA trains in milliseconds, atomic swap deploys new weights in under 1 ms. Inference never stops. Currently in advanced testing.
Sovereign Cloud Infrastructure
NUMA-aware GPU scheduling, MIG multi-instance partitioning, metrics-driven autoscaling. A new GPU node is production-ready in under 2 minutes. All compute stays inside our Norwegian data centres.
REST & Chat APIs
Embed the platform into your products. Stream chat completions, invoke workflows as HTTP endpoints, trigger agents from webhooks. SSO, audit logs and rate limits on every call.
Why CLSK Is Different
Continuous Learning with Sparse Knowledge. Six architectural advantages that make our AI the first to learn from every interaction without stopping to retrain.
Zero-Downtime Learning
Double-buffered weight system. Inference never stops while training runs in parallel. No batch windows, no maintenance downtime, no stale models.
Lock-Free Concurrency
Training and inference execute simultaneously with no synchronisation overhead or blocking. Every request is served at full speed, including the ones teaching the model.
Instant Knowledge Transfer
Atomic buffer swap copies trained weights to the live model in under 1 ms. The very next response reflects what was just learned.
Multi-Adapter Architecture
Business data, user preferences and policies compose hierarchically as isolated LoRA adapters. No cross-contamination between tenants, teams or individuals.
Convergence-Driven Training
Each fact trains until it is actually learned, not for a fixed number of steps. Efficient use of compute with a clear signal when new knowledge has been absorbed.
Not RAG, Not Fine-Tuning
Knowledge is trained INTO the weights, not looked up at query time, and not collected for a batch retraining job. The neural pathways themselves change in real time.
Capabilities & Scale
Capabilities
- Drag-and-drop visual workflow builder (LLM, logic, loops, Q&A, JSON extract, webhooks)
- Multi-model LoRA fine-tuning, per-team, per-department, per-user adapters
- RAG with native vector search over SharePoint, file shares, databases and REST APIs
- MCP agents with tool-use. Function-call into your internal APIs and scripts
- Per-model, per-tool RBAC with SSO, SAML and full audit trail
- Sovereign GPU infrastructure with NUMA-aware scheduling and MIG partitioning
- CLSK live training, continuous learning without stopping inference
- Full REST and chat APIs, scheduled triggers, event webhooks
Key Metrics
Ready to bring secure, enterprise-grade AI capabilities into your operations? Get in touch with our team and we’ll show you how our AI platform can be tailored to your specific use cases and compliance needs.