![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 141 23" xmlns="http://www.w3.org/2000/svg"><g d="M 129.309 1 C 134.207 1 138.382 3.094 138.382 8.773 L 138.382 18.319 L 140.79 18.319 L 140.79 22.386 L 135.09 22.386 L 133.568 20.282 L 132.776 20.282 C 131.033 21.964 128.863 22.87 126.138 22.87 C 123.592 22.87 121.069 21.672 119.887 19.478 C 118.45 21.557 115.479 22.87 111.532 22.87 C 106.733 22.87 103.554 20.952 102.373 18.135 C 100.747 21.355 97.539 22.87 93.627 22.87 C 88.46 22.87 85.063 20.137 83.737 16.076 L 83.502 16.076 L 83.502 22.386 L 78.123 22.386 L 78.123 9.378 C 78.123 7.163 77.28 5.471 74.751 5.471 C 72.061 5.471 70.496 7.848 70.496 10.989 L 70.496 22.388 L 65.076 22.388 L 65.076 9.377 C 65.076 7.122 64.234 5.47 61.786 5.47 C 58.815 5.47 57.45 8.45 57.45 10.988 L 57.45 19.926 L 54.769 22.386 L 47.397 22.386 L 45.875 20.282 L 45.083 20.282 C 43.34 21.964 41.17 22.87 38.445 22.87 C 34.953 22.87 31.5 20.614 31.5 16.627 C 31.5 12.317 34.03 9.176 45.27 9.619 L 45.27 8.853 C 45.27 5.873 43.784 5.188 41.536 5.188 C 39.168 5.188 37.683 5.994 37.562 8.41 L 32.344 8.41 C 32.424 3.859 36.197 1 41.617 1 C 46.514 1 50.689 3.094 50.689 8.773 L 50.689 18.319 L 52.071 18.319 L 52.071 1.563 L 57.249 1.563 L 57.249 4.4 L 57.654 4.4 C 59.064 2.057 61.168 1 63.832 1 C 66.675 1 68.744 2.133 69.778 4.4 L 70.568 4.4 C 72.039 2.075 74.108 1 76.598 1 C 81.236 1 83.484 3.398 83.502 7.794 L 83.701 7.794 C 84.983 3.677 88.309 1 93.265 1 C 97.795 1 100.997 3.242 102.478 6.918 C 102.753 3.361 106.059 1 111.13 1 C 115.617 1 118.767 3.065 119.863 5.99 L 120.474 5.99 C 121.622 2.87 124.928 1 129.309 1 Z M 103.381 11.23 L 101.053 13.365 L 88.528 13.365 C 88.89 16.748 90.696 18.601 93.627 18.601 C 95.835 18.601 97.4 17.432 98.042 15.499 L 107.035 15.499 C 107.236 17.755 108.882 18.882 111.532 18.882 C 113.739 18.882 115.586 18.157 115.586 16.587 C 115.586 15.741 114.944 14.814 112.656 14.371 L 109.163 13.687 C 106.544 13.175 104.714 12.301 103.636 10.994 L 103.381 11.226 Z M 45.27 13.163 C 37.964 12.841 36.96 14.493 36.96 16.265 C 36.96 17.997 38.405 18.842 39.97 18.842 C 43.704 18.842 45.27 16.506 45.27 14.814 Z M 132.962 13.163 C 125.656 12.841 124.653 14.493 124.653 16.264 C 124.653 17.996 126.098 18.842 127.663 18.842 C 131.397 18.842 132.962 16.506 132.962 14.814 Z M 111.13 4.745 C 109.083 4.745 107.557 5.591 107.557 7.242 C 107.557 8.289 108.44 9.014 110.568 9.417 L 113.82 10.021 C 117.027 10.583 118.991 11.647 119.999 13.203 C 121.421 10.785 125.013 9.305 132.962 9.619 L 132.962 8.853 C 132.962 5.873 131.477 5.188 129.229 5.188 C 126.98 5.188 125.527 5.915 125.283 8.058 L 115.06 8.058 C 114.808 5.981 113.327 4.745 111.13 4.745 Z M 93.305 5.148 C 91.057 5.148 89.171 6.759 88.609 9.82 L 98.042 9.82 C 97.641 6.598 95.754 5.148 93.306 5.148 Z M 18.942 2.407 L 15.151 8.743 L 19.939 5.127 L 23.713 8.541 L 21.301 13.139 L 23.51 11.827 L 27.63 16.437 L 27.63 19.087 L 23.07 22.45 L 19.41 19.673 L 19.169 17.048 L 13.769 22.451 L 9.47 19.82 L 10.498 14.98 L 3.698 22.452 L 0 18.78 L 2.236 12.029 L 14.398 0 Z" fill="transparent" height="22.87px" id="AIGUwCX9J" width="140.79px"><path d="M 97.809 0 C 102.707 0 106.882 2.094 106.882 7.773 L 106.882 17.319 L 109.29 17.319 L 109.29 21.386 L 103.59 21.386 L 102.068 19.282 L 101.276 19.282 C 99.533 20.964 97.363 21.87 94.638 21.87 C 92.092 21.87 89.569 20.672 88.387 18.478 C 86.95 20.557 83.979 21.87 80.032 21.87 C 75.233 21.87 72.054 19.952 70.873 17.135 C 69.247 20.355 66.039 21.87 62.127 21.87 C 56.96 21.87 53.563 19.137 52.237 15.076 L 52.002 15.076 L 52.002 21.386 L 46.623 21.386 L 46.623 8.378 C 46.623 6.163 45.78 4.471 43.251 4.471 C 40.561 4.471 38.996 6.848 38.996 9.989 L 38.996 21.388 L 33.576 21.388 L 33.576 8.377 C 33.576 6.122 32.734 4.47 30.286 4.47 C 27.315 4.47 25.95 7.45 25.95 9.988 L 25.95 18.926 L 23.269 21.386 L 15.897 21.386 L 14.375 19.282 L 13.583 19.282 C 11.84 20.964 9.67 21.87 6.945 21.87 C 3.453 21.87 0 19.614 0 15.627 C 0 11.317 2.53 8.176 13.77 8.619 L 13.77 7.853 C 13.77 4.873 12.284 4.188 10.036 4.188 C 7.668 4.188 6.183 4.994 6.062 7.41 L 0.844 7.41 C 0.924 2.859 4.697 0 10.117 0 C 15.014 0 19.189 2.094 19.189 7.773 L 19.189 17.319 L 20.571 17.319 L 20.571 0.563 L 25.749 0.563 L 25.749 3.4 L 26.154 3.4 C 27.564 1.057 29.668 0 32.332 0 C 35.175 0 37.244 1.133 38.278 3.4 L 39.068 3.4 C 40.539 1.075 42.608 0 45.098 0 C 49.736 0 51.984 2.398 52.002 6.794 L 52.201 6.794 C 53.483 2.677 56.809 0 61.765 0 C 66.295 0 69.497 2.242 70.978 5.918 C 71.253 2.361 74.559 0 79.63 0 C 84.117 0 87.267 2.065 88.363 4.99 L 88.974 4.99 C 90.122 1.87 93.428 0 97.809 0 Z M 71.881 10.23 L 69.553 12.365 L 57.028 12.365 C 57.39 15.748 59.196 17.601 62.127 17.601 C 64.335 17.601 65.9 16.432 66.542 14.499 L 75.535 14.499 C 75.736 16.755 77.382 17.882 80.032 17.882 C 82.239 17.882 84.086 17.157 84.086 15.587 C 84.086 14.741 83.444 13.814 81.156 13.371 L 77.663 12.687 C 75.044 12.175 73.214 11.301 72.136 9.994 L 71.881 10.226 Z M 13.77 12.163 C 6.464 11.841 5.46 13.493 5.46 15.265 C 5.46 16.997 6.905 17.842 8.47 17.842 C 12.204 17.842 13.77 15.506 13.77 13.814 Z M 101.462 12.163 C 94.156 11.841 93.153 13.493 93.153 15.264 C 93.153 16.996 94.598 17.842 96.163 17.842 C 99.897 17.842 101.462 15.506 101.462 13.814 Z M 79.63 3.745 C 77.583 3.745 76.057 4.591 76.057 6.242 C 76.057 7.289 76.94 8.014 79.068 8.417 L 82.32 9.021 C 85.527 9.583 87.491 10.647 88.499 12.203 C 89.921 9.785 93.513 8.305 101.462 8.619 L 101.462 7.853 C 101.462 4.873 99.977 4.188 97.729 4.188 C 95.48 4.188 94.027 4.915 93.783 7.058 L 83.56 7.058 C 83.308 4.981 81.827 3.745 79.63 3.745 Z M 61.805 4.148 C 59.557 4.148 57.671 5.759 57.109 8.82 L 66.542 8.82 C 66.141 5.598 64.254 4.148 61.806 4.148 Z" fill="rgb(224, 255, 170)" height="21.87px" id="iVWsQJ3eu" transform="translate(31.5 1)" width="109.28999999999999px"/><path d="M 18.942 2.407 L 15.151 8.743 L 19.939 5.127 L 23.713 8.541 L 21.301 13.139 L 23.51 11.827 L 27.63 16.437 L 27.63 19.087 L 23.07 22.45 L 19.41 19.673 L 19.169 17.048 L 13.769 22.451 L 9.47 19.82 L 10.498 14.98 L 3.698 22.452 L 0 18.78 L 2.236 12.029 L 14.398 0 Z" fill="rgb(224, 255, 170)" height="22.451999999999998px" id="gsoLEjfFr" width="27.629999999999995px"/></g></svg>)
Flexible compute options: from laptop to cloud
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."
Article
What a Quarterback and a Process Operator Can Teach Us About AI Autonomy
A quarterback and a process operator may work in very different environments, but both rely on the same basic structure of expert decision-making: scenarios, strategies, and skills.
Press
AMESA Introduces “Data to Autonomy” Methodology for Deploying Trusted Industrial AI at Enterprise Scale
AMESA, the AI agentic orchestration and proving ground platform, today introduced “Data to Autonomy,” a proprietary methodology designed to help industrial enterprises move from disconnected operational data and AI pilots to autonomous systems capable of executing reliably in real-world environments.
Press
AMESA Named to the 2026 CB Insights’ List of the 100 Most Innovative Artificial Intelligence Startups
CB Insights today named AMESA to its tenth annual AI 100, showcasing the 100 most promising private artificial intelligence companies in the world.
Article
Industrial AI That Scales: Q&A with Andrew McMahon of Ridgeline
As autonomous AI begins to move out of experimentation and into real world operations, investors are being forced to develop sharper points of view on where the technology creates durable value and where it does not.