Bring real human expertise into every stage of enterprise AI.
Whether you're adapting a model, building an agent, or launching an AI experience, bring the right employees, customers, and domain experts into the work. Use human input to define the use case, evaluate performance, and understand the experience.
General intelligence is not the same as understanding your business.
Enterprise AI has to work within your customers, workflows, terminology, policies, and domain. That context rarely exists in one clean dataset. It lives across the people who know the work and the people who experience it.
The model lacks your context
General-purpose AI may understand the category, but not your organization, terminology, workflows, policies, exceptions, or standards. That missing context can shape every downstream decision.
The workflow contains human judgment
Important enterprise decisions often depend on context, experience, and tacit knowledge that never appears in process documentation. Domain experts help make that judgment visible.
Real users change the test
Employees and customers bring different goals, language, constraints, and expectations than the scenarios your development team planned for. Human testing shows what happens outside the happy path.
Bring people into the decisions that shape your AI.
Bring employees, customers, and domain experts into the decisions that shape your AI. Use their input to identify the right use cases, adapt systems to your context, evaluate performance, and improve the experience over time.
Define
Talk to employees, customers, and domain experts to identify the right problems, workflows, and boundaries before development starts.
Adapt
Collect the specialized human input needed to adapt models and systems to your terminology, tasks, and domain.
Test and evaluate
Put models, agents, and AI experiences in front of representative users and subject-matter experts to see how they perform in realistic situations.
Improve over time
Repeat research and evaluation as systems, workflows, and user expectations change so you can keep improving what you deploy.
Bring the right human input into enterprise AI.
Use our network, platform, and services to involve the right people at the right stage, from domain discovery and specialized data collection to model evaluation, agent testing, and AI experience research.
Domain expert recruiting
Reach professionals who understand the workflows, terminology, decisions, and edge cases your AI needs to handle, with custom recruiting available for harder-to-find expertise.
Human data collection
Collect structured feedback, demonstrations, judgments, recordings, and other human-generated inputs for specialized AI projects, using the method and audience that fit the work.
Model and output evaluation
Bring qualified people into studies that compare outputs, evaluate quality, and provide domain-specific feedback on how a model or AI system performs.
AI Relationship Quality (ARQ) benchmark
Use the ARQ benchmark to measure understanding, trust, control, outcome, and affinity, with participant feedback that explains what drives the experience.
Agent and workflow testing
Test agents and AI-enabled workflows with the employees, customers, or specialists who will actually use them in realistic situations.
AI experience research
Understand usability, comprehension, confidence, trust, and perceived control across AI-powered experiences, and uncover where the experience creates friction or uncertainty.
Technical performance is only part of AI quality.
Technical performance does not tell you how people experience AI. ARQ™ measures understanding, trust, control, outcome, and affinity, giving enterprise teams a repeatable view of the human side of an AI experience.
ARQ™ is an expert-led Professional Services offering that helps teams identify where an AI experience needs improvement and track the human relationship over time.
Affinity
Understanding
Trust
Control
Outcome
The expertise you need may already be here.
Reach consumers, employees, technical professionals, business decision-makers, and hard-to-find specialists. Add professional verification, custom screening, and managed recruiting when the audience or project gets more complex.
7.6M
People in the network
3.2M
Professionals across 140 industries
205K+
Technology professionals
Your engagement stays scoped to your work from start to finish.
Enterprise AI projects can involve customer workflows and proprietary business context. Projects are commissioned and consented for the specific engagement, and customer data is kept isolated rather than pooled, resold, or repurposed.
Engagement-level isolation
Customer prompts, materials, and study data stay within the engagement and are not pooled into a shared commercial dataset.
Project-specific consent
Participants are recruited and consented for the work they are asked to complete, with additional handling available for specialized projects.
No model conflict
We do not build foundation models. Our role is to provide human input rather than compete with the systems we help evaluate.
Bring the right people into one AI initiative.
Tell us what you're building, who it is for, and where human expertise matters. We can help identify the right participants, study approach, recruiting model, and level of managed support.
Frequently asked questions
Can’t find the answer you’re looking for? Talk to our team.
Do we need to build our own model?
No. We can support teams developing their own AI, adapting third-party models, building agents, or adding AI to existing products and workflows.
Can you recruit people from our industry?
Yes. The network includes professionals across more than 140 industries, with custom recruiting available for specialized or low-incidence audiences.
Can you help define what the AI should do?
Yes. Employees, customers, and domain experts can help uncover workflows, judgment, exceptions, and boundaries before development or evaluation begins.
Can you test agents and AI experiences?
Yes. Studies can include realistic tasks with representative users or specialists to understand how agents and AI-powered experiences perform in real workflows.
Can we work with our own audiences?
Depending on the program, teams can recruit from established networks or bring their own customers, employees, or known participants into research workflows.
How does ARQ fit?
ARQ is a Professional Services offering that measures the human experience of AI across understanding, trust, control, outcome, and affinity.
