Vision
Machines that see, understand, and act at the edge — without burning a data center for every decision.
Edge-native Neural Cognitive AI for industry and education — with a long-horizon path to physics-level energy efficiency.
Machines that see, understand, and act at the edge — without burning a data center for every decision.
Cloud LLMs are powerful — and wrong for most physical work. Latency, bandwidth, cost, and privacy break industrial and educational deployments.
Concurrent multi-agent cognition on silicon hits an energy wall. Static feed-forward models lack recursive self-regulation that real cognition requires.
A stacked Neural Cognitive stack: proprietary models + modular edge hardware today; hybrid thermodynamic compute tomorrow.
~4B multimodal model fusing vision, audio, language, and robotic telemetry for low-latency edge cognition.
Modular “spinal cord” units that host per-task models — kinematics, safety, planning — at the machine.
Long-horizon multi-agent HTDML research for 10,000x sampling efficiency. Read the research.
We sell near-term engineering value (models, edge stacks, services) while compounding proprietary IP toward NC-Thermal.
Every deployment feeds datasets, fine-tunes, and control loops that improve the next edge box — while the research track builds a differentiated compute thesis competitors cannot copy from API wrappers.
Explore Research →Custom models, datasets, and infrastructure for enterprises with clear ROI scopes.
NC1 + Edge Box stacks licensed / delivered for robotic and industrial deployments.
Technology licensing, strategic hardware partnerships, and research collaboration.
Ship demonstrators (arm + edge box), close design partners, grow specialized service revenue.
Expand CFS nodes, industrial pilots, and repeatable Edge Box configurations.
Phase I GPU MCMC validation → hybrid TSU proto → full thermodynamic agent core.
Entity: Júlio Papel, eni — Laiss Labs · Figueira da Foz, Portugal · info@laisslabs.com
We are opening conversations with aligned funds and strategic partners to accelerate edge productization and the NC-Thermal research track.
© 2026 LAISS LABS. CONFIDENTIAL — FOR QUALIFIED INVESTORS AND STRATEGIC PARTNERS. TECHNICAL DETAIL: /RESEARCH