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✦ Investor Pitch Deck

Engineering Intelligence.

Edge-native Neural Cognitive AI for industry and education — with a long-horizon path to physics-level energy efficiency.

CEO Júlio Papel · COO Micaela Papel Figueira da Foz, Portugal Confidential · 2026
01

Vision

Machines that see, understand, and act at the edge — without burning a data center for every decision.

Local Intelligence at the point of action
Embodied From perception to robotic control
Efficient Path to thermodynamic-scale cognition
02

The Problem

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.

  • Cloud round-trips kill real-time robotics
  • General models lack task-specific motor skill
  • Energy cost scales poorly with agent count
  • Enterprises need on-prem / edge sovereignty
03

Our Solution

A stacked Neural Cognitive stack: proprietary models + modular edge hardware today; hybrid thermodynamic compute tomorrow.

NC1 Architecture

~4B multimodal model fusing vision, audio, language, and robotic telemetry for low-latency edge cognition.

AI Edge Boxes

Modular “spinal cord” units that host per-task models — kinematics, safety, planning — at the machine.

NC-Thermal path

Long-horizon multi-agent HTDML research for 10,000x sampling efficiency. Read the research.

04

Product

Embodied AI for real work

  • Industrial inspection & assembly assistance
  • Pedagogical robotics (skill tutoring, feedback loops)
  • Specialized services: OCR/legal, analysis, media, datasets
  • Custom model & infrastructure engineering
Laiss Labs NC1 Edge Box connected to a robotic arm for embodied Neural Cognitive AI
05

Market Opportunity

Beachhead Edge robotics + industry Where latency and sovereignty are non-negotiable
Expansion Education & services Skill tutoring, document intelligence, automation
Horizon Efficient cognition HW Thermodynamic sampling as the next compute layer

We sell near-term engineering value (models, edge stacks, services) while compounding proprietary IP toward NC-Thermal.

06

Technology Moat

  • Proprietary NC1 / from-scratch transformer stack
  • Laiss-CFS cognitive function library
  • Modular edge-box embodiment architecture
  • NC-Thermal HTDML multi-agent research program

Why it compounds

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 →
07

Business Model

Engineering projects

Custom models, datasets, and infrastructure for enterprises with clear ROI scopes.

Edge systems

NC1 + Edge Box stacks licensed / delivered for robotic and industrial deployments.

IP & partnerships

Technology licensing, strategic hardware partnerships, and research collaboration.

08

Roadmap

Now — Productize NC1 edge

Active

Ship demonstrators (arm + edge box), close design partners, grow specialized service revenue.

Next — Scale embodiment

Planned

Expand CFS nodes, industrial pilots, and repeatable Edge Box configurations.

Horizon — NC-Thermal hybrid

Research

Phase I GPU MCMC validation → hybrid TSU proto → full thermodynamic agent core.

09

Team

CEO & Co-founder Júlio Papel Lead Architect · Neural Cognitive systems
COO & Co-founder Micaela Papel Operations · Partnerships · Growth

Entity: Júlio Papel, eni — Laiss Labs · Figueira da Foz, Portugal · info@laisslabs.com

10

The Ask

We are opening conversations with aligned funds and strategic partners to accelerate edge productization and the NC-Thermal research track.

Capital Seed / Series A participation
Strategic Hardware & industrial partners
IP Licensing & research grants

Investor Relations

Request a conversation, follow-up materials, or a deeper technical briefing.

Inquiry Received

Our team will review your background and follow up with next steps and materials.

© 2026 LAISS LABS. CONFIDENTIAL — FOR QUALIFIED INVESTORS AND STRATEGIC PARTNERS. TECHNICAL DETAIL: /RESEARCH