About Lamina Grid

Purpose-driven agent systems powered by thin, specialised models.

Our Story

Lamina Grid was founded on a simple insight: most AI systems throw a giant model at every problem. We take the opposite approach — decompose workflows into distinct roles and equip each with a thin, purpose-built model that does one thing exceptionally well.

The result is systems that are 128–462× cheaper per conversation than in-context frontier LLMs, while delivering 87–98% of the quality. And because each agent learns over time, accuracy compounds with every task.

Why thin models win

Enterprise AI shouldn't mean surrendering your data. Frontier labs train on everything you send them — your product specs, customer data, internal strategy. Lamina Grid's open-source approach eliminates that risk entirely.

Zero data leakage. We don't send your data to third-party APIs. Thin open-source models run on your hardware — on-premise, in your VPC, or air-gapped. Your proprietary information never touches a frontier lab's training pipeline.

Purpose-built, not one-size-fits-all. We fine-tune each model on your domain data — your product catalogues, customer queries, compliance rules. The model speaks your language because it was trained on your data, not the public internet.

Retain your competitive edge. Your fine-tuned models embody your institutional knowledge. Staff turnover doesn't erase it. Competitors can't access it. Your proprietary advantage compounds with every task your agents complete.

Our Approach

We believe in compounding efficiency — the idea that cost savings across model architecture, token usage, and infrastructure multiply rather than add. Every optimisation layer reinforces the next.

Based in Singapore, we work with marketplaces, financial institutions, and SaaS platforms across Asia Pacific to build AI that earns its keep.