Rival Technologies, the leader in conversational research, has announced the launch of its Multi-Agent AI Framework—a modular, scalable system of AI Agents built to enhance each stage of the research lifecycle.
“With our AI Framework, we offer clients flexibility,” said Andrew Reid, CEO and Founder of Rival Technologies. “They can opt-out of AI, use features selectively, or embrace full Agents—all while keeping human expertise at the center.”
Unstructured Data Agent: First in the AI Framework
The first AI Agent in the system focuses on unstructured data, enabling insights teams to make sense of qualitative feedback at scale. This initial release integrates Rival’s most advanced AI capabilities:
- Thoughtfulness Scoring – Evaluates the depth, relevance, and quality of open-ended responses.
- AI Probing – Generates contextual follow-up questions that enhance the richness of qualitative feedback.
- AI Summarization – Distills large sets of open-text data into clear, actionable insights.
- Insight Reels – Converts open-ends and video content into stakeholder-ready narrative videos.
These capabilities are already being used by forward-thinking brands like ŌURA, enabling researchers to extract deeper insights and deliver stronger business outcomes.
Future Agents and the Emergence of the “Super Agent”
Rival plans to expand its framework with additional AI Agents focused on Planning & Development, Analysis, and Reporting & Knowledge. These will operate independently or in unison, helping to automate repetitive and time-consuming research tasks.
Eventually, researchers will have access to a “Super Agent”—a comprehensive, agentic model capable of managing end-to-end research workflows. While automation increases efficiency, human oversight will remain a cornerstone, ensuring AI-generated insights are thoughtfully reviewed and refined.
“This is not about automation for automation’s sake,” said Jennifer Reid, Co-CEO and Chief Methodologist of Rival Group. “We’re giving researchers superpowers—more time for strategic thinking, more confidence in their insights, and more compelling ways to deliver value to the business.”
Responsible AI: Trust and Transparency Built-In
Rival’s AI approach is grounded in responsibility and enterprise-grade standards. Key safeguards include:
- Human in the loop – Researchers remain in control of the final output.
- Opt-in by design – Teams can adopt AI tools on their terms.
- Enterprise-grade security – Data governance and compliance are embedded throughout the framework.
Enhancing Conversational Research with AI
Rival’s mobile-first, conversational model already delivers higher engagement through platforms like SMS, mobile, email, and social media. By integrating AI, Rival aims to accelerate, elevate, and amplify the insights delivered to brands.
Join the Rival AI Early Access Program
Rival is now recruiting innovative brands to join its AI Early Access Program, which offers:
- Exclusive early access to the Unstructured Data Agent
- Direct collaboration with Rival’s product and AI teams
- The opportunity to co-create the future of responsible, researcher-driven AI
To learn more or express interest in the program, visit Rival Technologies.