KOLAS
Cloud AI is a black box
You pay a token tax every time sensitive data leaves your network. When the API fails, your pipeline stops. There's a better way — private LLM infrastructure on hardware you control, open-weights models you can swap, and zero external API calls.
Services
On-Premise Clusters
We design, deploy, and hand over private LLM infrastructure in your data centre or air-gapped environment — total control, offline capability, and no recurring cloud token bill.
Managed Private Inference
Need results without racking hardware? We run a secured private processing pipeline for your documents and workflows — fixed pricing, sovereign handling, structured outputs you can trust.
Open-Weights Orchestration
We fine-tune and load-balance open models — Llama, Qwen, Mistral and more — so the right runtime handles extraction, reasoning, or summarisation at local-host speed and SOTA accuracy.
FREE consultation
Inference Audit with KOLAS CAPTURE™
What is the free consultation?
We'll analyse your document volume, sensitivity, and spend — and show you the path to inference sovereignty.
In a free one-hour session we map where cloud APIs create token tax, privacy leak, or single-point-of-failure risk. Then we outline on-premise vs managed options, open-weights candidates, and a concrete route to private production inference.
What is KOLAS CAPTURE™?
KOLAS CAPTURE™ is our proprietary discovery system that turns your requirements into a private-LLM blueprint — infrastructure shape, model shortlist, data readiness, and whether to build in-house or run managed.
You leave with clarity, not a pitch deck: what stays on your side of the firewall, what it costs versus cloud tokens, and how to prove value with a controlled private prototype.
Projects
Brazil: Atrocity Crimes in the Amazon
A digital evidence platform supporting a communication to the International Criminal Court, documenting crimes against humanity in the Brazilian Amazon.
View Project →Climate Rights
A platform for climate rights advocacy and legal action, connecting environmental justice with human rights law to drive accountability and systemic change.
View Project →
Murano Connect
A matchmaking platform connecting funds and investors. Murano changes the way fund managers and allocators discover each other through relationship-driven introductions.
View Project →
Domino Recording Company
Digital platform development for one of the world's most respected independent record labels. Home to Arctic Monkeys, Franz Ferdinand, and Animal Collective.
View Project →Moruroa Files
A comprehensive digital archive documenting France's nuclear testing program in French Polynesia, revealing the true impact and legacy of decades of atmospheric and underground tests.
View Project →
Secta Finance
A modern financial services platform providing innovative lending solutions and financial products for businesses and individuals across the UK.
View Project →Inference Sovereignty
On-Premise LLM Clusters
Private inference racks designed, deployed, and handed over on hardware you physically control — no cloud dependency.
Air-Gapped Deployments
Fully offline LLM capability for environments where data must never touch the public internet.
Open-Weights Orchestration
Llama, Qwen, Mistral and peers — fine-tuned and load-balanced so each workload hits the right runtime.
Zero External API Calls
Architectures where production inference never leaves your perimeter — 100% data sovereignty by design.
Document → Structured Data
Industrial-scale extraction from unstructured PDFs and logs into clean JSON — private, parallel, and fixed-cost.
Escape the Token Tax
Replace unpredictable cloud bills with owned capacity. As volume grows, unit cost falls — not the other way around.
Fine-Tuned Domain Models
Custom LLMs trained on your proprietary corpora for accuracy generic cloud APIs cannot match.
vLLM & llama.cpp Stacks
Production runtimes on open tooling — GGUF, vLLM, and commodity hardware tuned for local-host throughput.
Private Inference Gateways
Secured access for teams and apps: auth, rate limits, audit logs, and policy on every prompt — still fully private.
RAG Inside the Perimeter
Retrieval over your knowledge bases without shipping documents to a third-party model provider.
Model Evaluation Suites
Benchmark open-weights candidates against your real use cases before you commit to fine-tuning or hardware.
Inference Optimisation
Quantisation, distillation, and hardware-aware tuning to cut latency and power without sacrificing quality.
Team Training & Handover
We don't lock you in. Your operators learn to run, monitor, and update the stack after go-live.
Governance & Compliance
Controls aligned to GDPR and industry rules — audit-ready from the first production prompt.
Managed Private Pipelines
When you want results without owning the rack — secured private processing with fixed pricing and sovereign handling.
Stop renting intelligence. Own the inference layer.
Kill the Token Tax
Cloud APIs bill you for every word. Private capacity turns growth into lower unit cost — not an exploding invoice.
Close the Privacy Leak
Legal records, incidents, and proprietary logs stay on your network. Nothing sensitive leaves for a third-party model.
No Single Point of Failure
When a public API goes down, your business shouldn't. Inference runs on infrastructure you control.
Open Weights, Not Lock-In
Run Llama for one job, Qwen for another, Mistral for a third — swap models without rewriting your stack around a vendor.
On-Premise or Managed
Build and own the rack, or use our secured private pipeline. Same sovereignty principle — two routes to get there.
Air-Gap Ready
Offline LLM deployment for regulated and high-security environments where the public internet is not an option.
Industrial Throughput
Parallel processing across independent runtimes — documents and workloads at scale on commodity hardware.
Fine-Tune Where It Pays
We evaluate first, then fine-tune only when domain data proves the lift — accuracy without wasted spend.
Handover, Not Hostages
Team training and runbooks so your people operate the stack. We stay for partnership, not dependency.
Governance Built In
Audit trails, evaluation gates, and GDPR-aligned controls from day one of production inference.
Prove Before You Scale
Controlled private prototypes that show ROI on your data and volume — then rack, stack, and expand.
Our Team
Alex Chen
Private AI Strategy Director
Sarah Lindström
LLM Systems Architect
Marcus Webb
Fine-Tuning Lead
Emma Johansson
AI Product Designer
David Park
Private AI Prototyping Lead
Lisa Bergman
Inference Optimisation Engineer
James Miller
MLOps Engineer
Anna Svensson
Model Evaluation Specialist
Michael Torres
Data & Knowledge Engineer
Olivia Hansson
AI Governance Consultant
Daniel Kim
LLM Product Strategist
Sofia Eriksson
Head of Private AI Delivery
Thomas Andersson
Secure AI Architect
Rachel Nguyen
AI Operations Manager
Erik Larsson
Applied LLM Research Lead
"We're thrilled with the work kolas.se has done creating a website we are truly proud of. We have benefitted hugely from kolas.se's strategic and technical knowledge and advice. In INTERPRT's multiple projects, kolas.se has created a superb and highly intuitive CMS system, meaning the back end works as well as the front looks. "
CEO INTERPRT
"The whole process working with kolas.se has been such a good experience, from initial briefing, through to the design and also training for us to be able to work the CMS. We are absolutely delighted with our new website. It looks modern and easy to use whilst still retaining our brand identity. Huge thanks to the kolas.se team who held our hand through the whole process."
Co-Founder Rize ETF
"Working with kolas.se was better than expected and we had really high expectations. They are an incredibly talented development team but what really makes them stand out is their work ethic and steady approach. Time after time, and without us asking, they added enhancements and improvements that resulted in a better end product for us and our clients at such tight deadlines."
Managing Director Murano Connect
Ready to own your inference?
Request an inference audit — we'll map your volume, risk, and path to private LLM infrastructure.
hello@kolas.se
Locations
London
United Kingdom
Gothenburg
Sweden