Measure
What Matters
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Driving AI’s market readiness, Civitaas pioneers methods to measure AI system quality, safety, and utility in the real world.
The Challenge: Tech-using organizations struggle with the complexities of AI adoption and deployment and lack the data and metrics to inform their decision-making about AI deployment, oversight and use.
We’ve built a better way to measure what AI can do for your business.
By prioritizing your unique deployment context, we help you:
-stay ahead of trends
-unlock AI’s Return-on-Investment
-mitigate AI’s risks for people and society
The Product
We help you:
Our pre- and post-deployment evaluation toolkits offer insights that go beyond model-based evaluations.
Features
Operate without the need for training data, relying instead on real-time feedback from end users of AI systems.
Provide a structured framework for assessing Al systems, with each tier building upon the last
Measure Al's ROl for your business
Navigate Al-driven trends in your sector
Identify relevant AI risks and impacts
Implement responsible Al practices
Services
REVEAL
Gather In-Depth
Insights
We help you define your questions and contexts, then engage end-users, consumers, and experts to test your products in real-world scenarios. Our proprietary “self-coding” reporting process:
Delivers direct feedback about the robustness of your AI products
Minimizes the misinterpretations that are common in user-content review
Reduces annotation costs.
We select our testers to ensure representative evaluations. Evaluations are conducted using red teaming and field testing protocols.
EXAMINE
Place Test Outcomes
Into Context
Includes Reveal Features
Test output is transformed into detailed analytics and metrics that populate evaluation scorecards.
Compare your products’ utility, quality, and safety in real-world contexts relative to other systems and across your sector.
SCALE
Simulate Dozens
or Millions
Includes Reveal and Examine Features
After reviewing the findings, customers can explore additional questions through large-scale simulations with digital twins, providing deeper insights and enhancing decision-making.
REVEAL
Gather In-Depth Insights
We help you define your questions and contexts, then engage end-users, consumers, and experts to test your products in real-world scenarios. Our proprietary “self-coding” reporting process:
Delivers direct feedback about the robustness of your AI products
Minimizes the misinterpretations that are common in user-content review
Reduces annotation costs.
We select our testers to ensure representative evaluations. Evaluations are conducted using red teaming and field testing protocols.
EXAMINE
Place Test Outcomes Into Context
Includes Reveal Features
Test output is transformed into detailed analytics and metrics that populate evaluation scorecards.
Compare your products’ utility, quality, and safety in real-world contexts relative to other systems and across your sector.
SCALE