Where we work

The same models, in very different rooms.

Hospitals, energy sites, networks and offices all share one constraint: the data cannot wander. We put compact models next to it, wherever it already lives.

Explore Products Our approach

Smaller models.
A more open future.

TinyWeightsAI builds compact, high-quality language models and tools that run entirely on your infrastructure.

Power AI on your terms.

Compact models that run where your data lives: in the browser, on a workstation, on-premise or in a private cloud. No upload. No round trip.

Compact models, tuned to your work.

Massive general models waste compute. We design and fine-tune compact LLMs and generative tools around your organisation's workflows, delivering high-end performance at a fraction of the hardware cost.

Your AI runs where your data lives.

From backend microservices to modern front-end frameworks, we deploy to your exact infrastructure, including strict air-gapped on-premise installs and secure, on-demand local environments.

The edge of efficiency.

Research, whitepapers and architecture guides for moving from bloated cloud models to optimised local infrastructure, covering decentralised computing, zero-trust data sovereignty and AI compliance.

Four practices. One principle: the model comes to your data.

Artificial Intelligence

AI only earns its place when it fits how your team actually works. We start by mapping the decisions people make every day and the friction around them, then apply models only where they measurably help — sharpening decisions, cutting manual effort, and holding up at production scale rather than in a demo.

  • Workflow mapping first: we find the handful of steps worth automating before writing any code.
  • Compact models chosen for the task, sized to the hardware you already own.
  • Baselines and success measures agreed up front, so value is provable, not asserted.

Generative AI

Generative models pay off when they are woven into the tools people already use: internal knowledge bases, customer-facing workflows, day-to-day operations. We connect them to your own documents and systems, with the guardrails your team needs to trust the output.

  • Retrieval over your own content, so answers cite your material instead of guessing.
  • Guardrails, review steps and refusal behaviour tuned to your risk tolerance.
  • Runs inside your boundary, so drafts and documents never leave the building.

Agentic AI

We build agentic systems for teams ready to let AI take real action, not just answer questions. Each agent gets a narrow remit, explicit permissions and a complete record of what it did — the visibility, oversight and audit trail that keep a human in control.

  • Scoped tools and permissions: an agent can only touch what you allow it to touch.
  • Human approval on consequential steps, with every action logged and reversible.
  • Tested against your real cases before it runs unattended.

Machine Learning

Production machine learning is a reliability problem more than a research problem. We build models that keep performing as your data, demand and environment shift underneath them — and we hand over the monitoring that tells you when they stop.

  • Drift and quality monitoring wired in from day one, not added after an incident.
  • Repeatable retraining on your own infrastructure, with versioned data and weights.
  • Honest evaluation: the cases it fails are documented alongside the cases it wins.

Our approach

Small by design. Open by choice.

Three commitments shape every TinyWeights engagement. Open a frame to see what each one means in practice.

Your journey.
Our support.

From idea to impact, we help you build and run private AI — on your infrastructure, your terms.

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