Specialized AI
for the Real-World

Accelerate specialized AI agents, powered by DAS, to understand and act in complex industrial environments.

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Why Specialized AI?

AI for complex industrial environments.
Built to deliver immediate impact.

It takes a decade to train a single human expert. In today’s AI-driven world, no enterprise can afford to be second best.

Turn domain knowledge into action — deploy AI agents now.

Human Experts

Time it takes a human to gain deep domain expertise

  • Sensor data interpretation
  • Blueprint reading
  • Standard operating procedures(SOP) learning
  • Tools and equipment proficiency
  • Field experience

10 Years

VS

Specialized AI

Time for AI to acquire domain expertise — and outperform humans

  • General AI
  • Domain-Adaptive Specialization(DAS)
  • Vertical AI agent

10 Hours

Multimodal learning.
Real-time decision-making.
Domain-specific intelligence.

What is DAS?

MakinaRocks’
Domain-Adaptive Specialization

From multimodal data to domain expertise — MakinaRocks’ DAS enables AI agents to understand and act across industrial operations through its modular AI technology framework.

Technology Layers of DAS

1. Behavior Guiding

Reliable decision-making
with AI

Outputs verified against expert standards to deliver explainable, dependable decisions in fast-changing environments.

Key Technologies
  • Creativity Control
  • Explainable LLM
  • Quality Control (QC) Agent

2. Agent Learning

AI agents
with domain expertise

Agents trained with RL, LLM, and MV to master domain knowledge and execute with precision.

Key Technologies
  • Dynamic Reward RL
  • Agent Flow
  • Hybrid Machine Vision Modeling

3. World Modeling

Real-World AI
for the frontline

Digital simulation and structured knowledge frameworks equip AI to grasp the logic and physical dynamics of real-world operations — at scale.

Key Technologies
  • Feature-wise Attention
  • Meta Filtering
  • Semantic Image Decomposition

Deploying AI,
Delivering Reality

Bring real-world intelligence to life with MakinaRocks.

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