Armilla
Is a
Framework
for
Responsibility
To safely harness AI’s true potential, it is imperative that we make new models robust, accountable, and trustworthy.
ML & AI now augment our every decision and the technology is only growing in size and complexity, making oversight trickier than ever.
Manual approaches are ill equipped to effectively engineer safety into the greatest technological advances in history.
Combined, these challenges generate faulty AI resulting in bad outcomes.
This is why we created Armilla
To power collaborative governance in AI development and production
The Founders
50+ years in AI
100+ models built
25 AI patents
We were building AI models before they were cool. We’ve built many of the most robust ML systems that are currently deployed around the globe and positively impacting billions of lives.
We’ve seen a lot. That’s why we know something absolutely critical is now missing in the ecosystem: proper oversight.
With AI influencing our every move and decision, there’s a lack of effective validation tools to test algorithms for robustness, accuracy, fairness, data drift, and bias. Where oversight does exist, companies rely on ineffective manual processes with human inputs. That is the perfect recipe for faulty AI.
That’s why we created the first all-in-one QA for ML platform, Armilla. Now, any business has the framework to continuously govern, validate, and monitor ML to eliminate faulty AI and its consequences.
We’ve seen a lot. That’s why we know something absolutely critical is now missing in the ecosystem: proper oversight.
With AI influencing our every move and decision, there’s a lack of effective validation tools to test algorithms for robustness, accuracy, fairness, data drift, and bias. Where oversight does exist, companies rely on ineffective manual processes with human inputs. That is the perfect recipe for faulty AI.
That’s why we created the first all-in-one QA for ML platform, Armilla. Now, any business has the framework to continuously govern, validate, and monitor ML to eliminate faulty AI and its consequences.
