Orchestrate. Adapt.
Automate.

Lamina Grid builds Adaptable Agents — purpose-built AI that orchestrates at scale, adapts through persistent memory and continuous learning, and automates deterministic workflows. Thousands of thin agents, each earning its keep.

Adaptable Agents, built to compound.

Most AI systems throw a giant model at every problem — and forget everything between sessions. We take the opposite approach: decompose workflows into distinct roles, each equipped with a thin, purpose-built model, then give those agents persistent memory and continuous learning. The result is an Adaptable Agent that gets better with every task — and a fleet you can orchestrate and automate at enterprise scale.

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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.

Grid Orchestration

The Kubernetes of thin AI agents. Create, manage, and steer thousands of concurrent agents on a unified grid through a single command surface — the Lamina Grid Portal. Each agent purpose-built, all at linear cost.

Adaptable Agents

Agents that get better with every task. Persistent memory preserves durable knowledge across sessions, and continuous learning sharpens each decision — so your agents adapt to your workflows and compound in value over time.

Deterministic Workflows

Recurring work on schedule, from reviewable, versioned instructions. Standing orders and an in-process scheduler make autonomous operation auditable — not a black box.

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.

Efficiency Audits

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

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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