Diego PozoSmart Solutions · Lima, Peru

Diego Bruno
Pozo Abregu

Know How

I design and connect intelligent systems across AI, robotics, and industrial technology to build robust real-world solutions alongside strategic allies committed to automation and the large-scale expansion of intelligent solutions.

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Systems Thinking

I build the connective tissue
between intelligence and deployment.

AI models, hardware systems, human interfaces, and industrial constraints rarely speak the same language. I translate between them — designing coherent architectures that work end-to-end, from model selection to physical deployment.

Understanding New Types of Intelligence

NONHUMAN

NONHUMAN is an embodied AI and robotics research group based in Lima, Peru, building a bridge from frontier research to real deployments.

  • Research Lab (Core)
    Study and development of machine learning, LLMs, physical AI and autonomous control for humanoid and bimanual systems focused on LATAM realities.
  • Open Technical Ecosystem
    Active publication and experimentation culture on GitHub and Hugging Face to make advanced AI and robotics research more accessible to builders.
  • Physical AI + Industrial Integration
    Software and hardware integration through robotic arms, 3D perception, edge AI and industrial stacks, including Siemens-oriented architectures (Jetson edge, OPC UA/PROFINET workflows).
  • Flagship R&D Directions
    Low-cost robotics training systems (SO-ARM100), LLM architecture exploration (MIND), diffusion modeling work (DDPM), and data-centric learning methods such as reinforcement and imitation learning.
  • Human & Machines (Commercial Arm)
    Robots as a Service (RaaS) for retail, events, museums and hospitality: deploy robots to capture attention, generate interaction, and convert visits into memorable brand experiences.
  • RaaS Capabilities and Model
    Remote Presence (teleoperation), Learned Tasks (beta), Coordinated Movement (beta), flexible event/monthly managed services, safety-first deployments, and current early-partner waitlist execution.
Embodied AI Research + RaaS Execution
Role
CBO
Human & Machines Role
CEO
Focus
Research + Physical AI Products
Trusted By
PUCP · DINAUT · Ciclos Café · Siemens

Aerospace Engineering Group

GIA PUCP

GIA PUCP is the Aerospace Engineering Group at PUCP, focused on training engineers and scientists through experimental rocketry and space science research, executing real projects that integrate applied technical formation, academic knowledge production, and technology validation for the Peruvian aerospace ecosystem.

CBO — GIA PUCP
GIA · Mission
Experimental Rocketry & Space Science
Mission-driven formation, research, and execution through real aerospace projects that connect university learning with validation in the field.
PUCP · Aerospace
GIA · Milestones
Flight-Validated Milestones
At the Latin America Space Challenge, MiSat reached 6th place in satellites and Kuntur 1 reached 7th place in the 500-meter rocketry category.
MiSat · Kuntur 1

Strategic Ecosystem

Magnus

A strategic technology consulting ecosystem focused on productivity, consulting, executive training, and AI solutions for companies in Peru. As a Business Development Associate, I support ecosystem growth, partnerships, and commercial expansion.

BDA — Magnus G.C. Consulting
Magnus · Venture
Forecast
An AI forecasting platform built for decision systems. Forecast surfaces predictive intelligence across operational, financial, and strategic domains — turning data signals into actionable foresight.
AI · Decision Systems
Magnus · Venture
Trueke
A B2B waste exchange platform enabling circular economy at scale. Trueke connects industrial waste generators with processors and recyclers, creating closed-loop material flows.
Circular Economy · B2B

News

Recent updates

Recent Update · GIA PUCP

Rocket launch campaign in Chincha

GIA PUCP recently completed a rocket launch in Chincha, adding a new flight-validation milestone to its experimental rocketry roadmap in Peru.

This update aligns with GIA's mission of training engineers and scientists through real aerospace projects, experimental rocketry, and technology validation from the university.

Why it matters
  • Validates operations, logistics, and real-world execution beyond lab tests.
  • Strengthens the team's mission of applied aerospace training and technology validation.
  • Connects university research with field deployment and systems discipline.

Let's build

Ready to connect
deep systems?

I'm open to collaboration on deep-tech systems, applied AI, and industrial intelligence — whether you're a startup, a research team, or a company trying to make sense of complex technology.

Let's talk architecture.