ResearchOpen programme · Meotis Research

Smaller minds.
Better harnesses.
Verifiable memory.

Why Meotis is building chain-native intelligence on the Internet Computer, and why this programme is open to researchers and builders.

With the ecosystem

Join the research programme.

Small language models, agent harnesses, WebAssembly, quantization, provenance, private memory or on-chain AI: if you build in any of these areas, this programme is yours.

Already measured, already shipped
2.9×more inference from software alone, same weights, same mainnet budget
40 Binstruction-cost units per call: ICP's deterministic, non-negotiable budget
48 hfrom our open publication to OnicAI's v0.12.0 production release
What the programme covers

Five research tracks

01

Runtime

Lower instructions per useful operation: SIMD, quantization, ternary models and session-level optimization.

02

Models

Task-specialized small language models, evaluated under real ICP constraints, not only on GPU benchmarks.

03

Harnesses

Orchestration, memory routing, tool use, verification and multi-call strategies under hard budgets.

04

Proof

Every critical agent action gets an explicit budget, an execution receipt and a traceable memory path.

05

Cognitive Heritage

Local encrypted vaults, ORIGYN SDK certification and gated access to authenticated human memory.

Learn more

The AI industry is no longer only racing for bigger models. It is racing for more intelligence per unit of compute. Phones force efficiency for privacy and energy; blockchains force it for consensus and verifiability. Both point in the same direction.

Efficiency is the product

On ICP, a call runs under a deterministic budget: more compute cannot be purchased during execution. We ran the same Qwen 2.5 0.5B model, with the same weights and the same mainnet limit, through two different software paths: 10 tokens per call → 29 tokens per call. No new hardware, no larger model. The model is the engine; the harness is the vehicle.

An open research loop

We published the paper, the code, the raw measurements and the reproduction procedure. Within 48 hours, the maintainer of llama_cpp_canister (OnicAI) independently traced the bottleneck, validated it on mainnet and shipped a ~2.8× faster release. Open research became production infrastructure in days.

Measure. Publish. Reproduce. Improve.

Memory as heritage

Agents do not only need a brain: they need memory that can be trusted. We call Cognitive Heritage the evolving body of knowledge, decisions and creations a person accumulates over a lifetime, today fragmented, with uncertain provenance. Private content stays local or encrypted; ICP anchors authenticity, provenance and permissions; the ORIGYN SDK certifies the rights. Human memory becomes sovereign, programmable and durable digital heritage.

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