How We Help | How It Works | Use Cases | Insights | Who We Are | Lets Talk
Measure What’s Meaningful
We help tech orgs navigate AI’s real-world messiness — not with dashboards, but with insights that:
– Inform better procurement and deployment
– Drive responsible adoption
– Fuel measurable robustness
All grounded in real users, not lab tests.
Civitaas Insights is incubated within Humane Intelligence.AI is evolving fast — but our ability to evaluate its real-world impact isn’t keeping up.
The further we get from the AI stack, the more complex the questions become — and the less effective current tools are at answering them.
THE PROBLEM
Why current approaches fall short — and what’s needed instead.
AI STACK
Current AI evaluation paradigms primarily focus on immediate system outputs — but stop there.
DEPLOYMENT CONTEXT
Few evaluations assess how people actually engage with AI in real-world environments.
Civitaas tools address all three levels — from output to context to societal impact.
MULTI-SECTOR
This narrow lens can lead to missed opportunities, unexpected outcomes, higher development costs, and reputational risk — across industries.
Civitaas Adaptive Toolkits
help you conquer the AI assurance bottleneck and give your AI insights the ultimate glow up.
Gain a deeper understanding
of what AI does for your organization and customers.
Make informed decisions
about responsible and reliable AI procurement, development, deployment, oversight, and adoption.
The Solution
WHAT :
Our toolkits enable objective visibility into what happens when people use your AI products in the real world.
HOW :
We collect detailed, real-world data about how your AI products perform during interactions under normal or adversarial conditions*.
WHY :
Learn which AI features provide the most value, how users repurpose your product in new ways, the key risks that require focus, and whether your mitigations achieve their aims.
Before Civitaas
AI testing conducted by AI
Complex outputs require translation to your use cases
Testing conducted in siloes walled off from real world conditions
Narrow outputs & rigid testing paradigms require repeated testing
Performance of model capabilities on conceptual tasks
With Civitaas
People interacting with AI systems in simulated sandbox environments
Outcomes directly transferable to your organizational goals
Multi-stakeholder collaborative process
Adaptive application eases development of targeted solutions
Measures real-world robustness, risk, and benefits
Our Approach
Context Specification
Collaboratively identify challenges and desired goals for your AI product
Design & Development
Simulate product deployment, focus, context, and relevant risks
Deployment
Collect and analyze interaction data to assess the utility and robustness of your AI product(s)
Deliverables
Assessment outcomes, scores, and metrics to support actionable insights
Real-World Use Cases
Our testing and evaluation pipeline is designed to capture, leverage and improve understanding about people + technology in the real world. Our resulting insights about technology's measured value can help you
Make decisions about technology adoption
Assess the societal impact of the tech you build
Enhance technology governance and oversight
Explore challenges through a fresh lens
Sample Use Case Scenarios
Market Intelligence
Client Claim: We expect workflow improvements from the AI agents we have already deployed in our medical center.
Goal: Assess medical center transformations due to AI agent deployment.
READ MORE…
Call Center
Client Claim: We expect workflow improvements from the AI agents we have already deployed in our medical center.
Goal: Assess medical center transformations due to AI agent deployment.
READ MORE…
Health Care
Client Claim: We expect workflow improvements from the AI agents we have already deployed in our medical center.
Goal: Assess medical center transformations due to AI agent deployment.
READ MORE…
About Us
Civitaas is co-founded by research scientists with expertise in Al ethics, human behavior, measurement, and applied and theoretical Al — along with decades of experience connecting technology development to the people who use and manage it.
Director of the Cognitive & Neurodiversity AI & Robotics & Digital Twin Labs at Morgan State University, Gabriella brings expertise in AI innovation, AI metrology, and policy advising.
Gabriella Waters
Linguist, measurement scientist and CEO of VernacuLab, Reva brings expertise in AI risk, operational oversight, and sense making in complex environments.
Reva Schwartz
Civitaas Can Help You Answer These Questions:
Could users assume the AI’s responses are fully accurate, and how might that overconfidence affect our credibility?
How often might users treat the AI as infallible, and what risks could that pose to customer satisfaction?
Behavioral Influence
What happens when users anchor on the AI’s first response—even if it’s incorrect—and how could that create broader issues?
Could users believe the AI shares our company’s judgment, and what happens if its guidance contradicts our values?
Could reliance on quick AI answers diminish users’ own skills, increasing support demands and future development costs?
If users adopt the AI’s way of framing problems, how might that limit creativity and make us seem less forward‐thinking?
How likely is it that users will stop questioning repetitive AI suggestions, and what impact could that have on our product’s reliability?
If users accept AI answers without verification, what kinds of errors could reflect poorly on our brand?
If users interpret the AI’s tone as genuine understanding, how might any mistakes damage our reputation?
Decision-Making & Overreliance
In what ways could users’ past experiences with other tools lead them to mistrust or overtrust our AI, slowing its adoption?
Trust and Perception
