Method

Method

How autonomous AI earns enterprise trust

How autonomous AI earns enterprise trust

Through the Machine Teaching method, AMESA captures human expertise and trains intelligent agents for reliable performance inside complex, mission-critical operations.

The real barrier to enterprise AI adoption isn’t expertise

The real barrier to enterprise AI adoption isn’t expertise

If you wouldn’t trust ChatGPT to manage your inbox, why would enterprises trust AI to run supply chains or billion-dollar operations?

The gap isn’t data or algorithms. It’s expertise — and how it’s developed for mission-critical work.

AI gains trust the same way humans do

AI gains trust the same way humans do

Humans don’t become experts because they have access to information, but through practice, feedback, and improvement toward a goal. The same must be true for AI agents operating inside enterprises: expertise is developed, not assumed.

Practice drives expertise.

Practice drives expertise.

Agent orchestration and practice is the only path that results in trustworthy, adoptable enterprise autonomy. This is the foundation of the AMESA method.

Machine Teaching: Bridging data and human expertise

Experts define what good decisions look like, and through structured interviews, AMESA codifies their skills and strategies into agents and multi-agent systems. Agents practice inside realistic environments until performance is demonstrated. Decisions are observable and auditable — no black box.

“There are only two things you need to train a team of agents: data and expertise.”

Kence Anderson

Founder & CEO

Machine Teaching: Bridging data and human expertise

Experts define what good decisions look like, and through structured interviews, AMESA codifies their skills and strategies into agents and multi-agent systems. Agents practice inside realistic environments until performance is demonstrated. Decisions are observable and auditable — no black box.

“There are only two things you need to train a team of agents: data and expertise.”

Kence Anderson

Founder & CEO

AMESA product suite

The AMESA method isn’t theoretical — it’s built into the platform

Design and configure multi-agent systems with a no-code interface built for engineers.

Drag-and-drop workflows

Modular architecture for rapid iteration

Visual debugging tools

Agent Orchestration Studio

Train and validate agents in a secure proving ground, accelerating practice and performance with your own data.

Simulation-driven training

Benchmarking for continuous improvement

Safe, scalable testing environments

Agent

Cloud

Deploy production-ready agents that extend expertise and deliver autonomy across real operations.

Direct human–agent collaboration

Continuous learning and improvement

Scalable deployment across systems

AMESA

Agents

AMESA product suite

The AMESA method isn’t theoretical — it’s built into the platform

Design and configure multi-agent systems with a no-code interface built for engineers.

Drag-and-drop workflows

Modular architecture for rapid iteration

Visual debugging tools

Agent Orchestration Studio

Train and validate agents in a secure proving ground, accelerating practice and performance with your own data.

Simulation-driven training

Benchmarking for continuous improvement

Safe, scalable testing environments

Agent Cloud

Deploy production-ready agents that extend expertise and deliver autonomy across real operations.

Direct human–agent collaboration

Continuous learning and improvement

Scalable deployment across systems

AMESA Agents

AMESA product suite

The AMESA method isn’t theoretical — it’s built into the platform

Design and configure multi-agent systems with a no-code interface built for engineers.

Drag-and-drop workflows

Modular architecture for rapid iteration

Visual debugging tools

Agent Orchestration Studio

Train and validate agents in a secure proving ground, accelerating practice and performance with your own data.

Simulation-driven training

Benchmarking for continuous improvement

Safe, scalable testing environments

Agent Cloud

Deploy production-ready agents that extend expertise and deliver autonomy across real operations.

Direct human–agent collaboration

Continuous learning and improvement

Scalable deployment across systems

AMESA Agents

case study

Training autonomy: From legacy control to agent-led optimization

Working inside a digital twin, AMESA trained multiple agent formations to balance energy efficiency and production economics under real operating constraints. Within 24 hours, all formations surpassed an industry-leading MPC, with the top projected to generate $1.2M annually.

$1.2M

Projected annual

value

24 hours

Outperformed industry-

leading MPC

$1.2M

Projected annual

value

24 hours

Outperformed industry-

leading MPC

$1.2M

Projected annual value

24 hours

Outperformed industry-leading MPC

case study

Training autonomy: From legacy control to agent-led optimization

Working inside a digital twin, AMESA trained multiple agent formations to balance energy efficiency and production economics under real operating constraints. Within 24 hours, all formations surpassed an industry-leading MPC, with the top projected to generate $1.2M annually.

What could a team of agents do for your business?

What could a team of agents do for your business?

© All rights reserved. amesa, Inc.

© All rights reserved. amesa, Inc.

© All rights reserved. amesa, Inc.

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