Agents that scale.
Models that earn their keep.

Lamina Grid builds thin, specialised models that match frontier quality at a fraction of the cost. Thousands of thin agents run concurrently, each earning its keep.

Thin models, big impact.

Most AI systems throw a giant model at every problem. We decompose workflows into distinct roles and equip each with a thin, purpose-built model that does one thing exceptionally well. These agents learn over time, improving accuracy with every task executed.

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128–462× Cheaper per conversation than in-context frontier LLMs (Dennis et al., 2026)
Matches or exceeds Frontier-model quality on procedural reasoning — not just "close to" (Dennis et al., 2026; Zhu et al., 2025)
Linear scaling Adding agents doesn't compound costs. Each thin model runs independently.

The enterprise AI dilemma

Frontier LLMs promise capability. They also demand your data, your privacy, and your negotiating power.

Your data trains your competitors

Every prompt sent to a frontier API trains the next generation of that model — including your proprietary data, trade secrets, and customer information. You're funding the infrastructure that could replace you.

Your infrastructure, your control

Lamina Grid deploys entirely on open-source models running on your infrastructure — on-premise, VPC, or air-gapped. Your data never leaves your environment. We fine-tune thin models on your proprietary data, so your knowledge stays yours.

128–462× cheaper, fully private

Open-source models self-hosted at 65× lower per-token cost. Thin architectures use 2–7× fewer tokens per conversation. Savings compound while your data stays behind your firewall — no trade-off between cost and security.

What we build

Custom AI models designed for one thing: doing more with less.

Token-Optimised Models

Proprietary fine-tuning that compounds savings — 65× per-token from self-hosted inference plus 2–7× fewer tokens per conversation. Total: 128–462× cheaper than in-context frontier models (Dennis et al., 2026).

Domain-Tuned LLMs

Models trained on your industry data — property listings, product catalogues, customer queries — so they speak your language from day one.

Operational AI Agents

Lightweight agents that automate moderation, enrichment, search, and support — built to slot into existing workflows, not replace them.

Efficiency Audits

We analyse your current AI spend and pipeline, identify inefficiencies, and deliver a roadmap to cut costs 40–60%.

Grid Orchestration

The Kubernetes of thin AI agents. Create, manage, and steer thousands of concurrent agents on a unified grid — each with a purpose-built model, all at linear cost.

Let's talk

Whether you're running a marketplace, a SaaS platform, or a traditional business exploring AI — we'd love to hear from you.

Location
Singapore
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