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Our platform, your path to optimization
CASE STUDY: amesa by the numbers
AMESA agents improved blending over state-of-the-art algorithm by 15% for an ROI of $400k per day.
AMESA trained agents on a Siemens gPROMS digital twin of a key process, delivering 3% better autonomous control and $1.7M/year ROI.
Manufacturing
Boosting throughput in aluminum can production from a 1% target to a 3% gain
CPG
Perfecting snack production for a CPG leader from dumpsters of waste to consistent quality.
Industry
Advancing thermal reactor control from operator benchmarks to 38% improvement.
Engineering
Scaling CNC machine performance from weeks of calibration to instant setup.
Testimonials
"As one of the world’s largest manufacturers of glass-containers, we partnered with AMESA and a third-party integrator to embark on our first major implementation of AI in our manufacturing operations."
We’ve never been able to automate this process before. The AMESA platform allowed us to combine our data and operator expertise to develop an intelligent autonomous agent capable of making decisions at an expert level. It was exciting for our expert operator to imbue his knowledge into the agent architecture and essentially be the AI’s “teacher.” The final result is a robust intelligent autonomous agent that can support our team on the factory floor to more efficiently manage the manufacturing process."
Press
AMESA Surpasses $100M in Realized Value as Fortune 500 Adoption of Agentic AI Accelerates
Latest deployments show AI agents trained through machine teaching are delivering measurable impact and moving towards autonomy
The Team-Based Future of Enterprise AI
Why the companies that design AI like they design their best teams will move faster, adapt better, and unlock the real value of autonomous systems.
Press
AMESA Awarded Direct-to-Phase II SBIR Contract by U.S. Air Force to Advance AI Wargaming for Strategic Decision Support
D2P2 contract supports the development of intelligent AI agents for real-time wargaming and mission planning at Air University.
Learning
How to Identify High-Impact Problems for Your AI Agents to Solve
If you make and move things, how can AI solve problems for you?