Identifying customer experiences that drive tool and brand differentiation to help a major tech company build a comprehensive AI brand strategy
The future of insights isn’t automated, it is human intelligence, amplified. At Escalent, we combine advanced AI capabilities and agentic AI systems with the rigor, ethics and judgment trusted decision-making demands. What sets us apart? We build AI capabilities that elevate people, safeguard integrity and deliver impact you can trust. From accelerating research workflows to uncovering deeper insights, our approach ensures every AI capability and AI agent remains guided by human expertise at every stage. Here’s how we make AI practical, responsible and insight-ready…
Our AI-first philosophy is grounded in one belief: AI must create real, measurable value for our clients. Whether through advanced AI capabilities, agentic AI systems or intelligent workflow automation, every solution we develop is designed around a clearly defined business and research objective.
Each AI capability we develop sharpens insight, accelerates delivery and improves decision-making. As AI agents become increasingly capable of planning, analyzing and executing repeatable research tasks, we apply them where they increase efficiency while preserving the human judgment required for interpretation, recommendations and strategic action. Supported by rigorous governance, transparent methodologies and human-in-the-loops review, every implementation is evaluated against strict research quality before it reaches clients.
Escalent embeds AI and agentic AI throughout the market research lifecycle, creating measurable value from data collection through insight activation. Through thoughtful, carefully governed adoption, AI strengthens research quality through automated data cleaning, anomaly detection, metadata enrichment and quality assurance, while AI agents can support survey design, questionnaire optimization, fieldwork monitoring, pattern detection, theme identification and insight generation. This gives clients cleaner, more reliable research inputs while allowing researchers to focus on higher-value analysis and interpretation.
For insights teams, AI accelerates synthesis by surfacing themes, summarizing findings and generating first-pass narratives, allowing researchers to spend more time interpreting meaning, understanding behavior and developing strategic recommendations. We believe the greatest opportunity for AI agents is not replacing experts but removing low-value operational work so researchers can focus on the interpretation, behavioral understanding and strategic judgment that drive business impact.
Every implementation is intentional, tested with real research teams, measured against defined success criteria and validated by human experts to ensure accuracy, relevance and trust. The result? A new standard for AI-enabled market research and insights—combining the speed and scale of AI with the expertise, context and judgment only humans can provide.
An award-winning AI-powered brand intelligence platform that makes brand tracking data simple, engaging and actionable.
Enlyta Insights® is an award-winning AI-powered brand intelligence platform that makes brand tracking data simple, engaging and actionable. Designed for market research and insights teams, it uses AI-powered semantic search and story drafting to help teams turn complex data into clear insights. With intuitive dashboards, insight stories and smart knowledge management, Enlyta lets anyone in your organization explore data, uncover trends and communicate effortlessly, saving time while amplifying strategic impact. It works with any data source, giving a full view of brand health to inform smarter business decisions.
An AI-powered behavioral science model designed for market researchers who want faster, more predictive insights on behavior change.
BeSci x AI™ is Escalent’s AI-powered behavioral science model designed for market researchers who want faster, more predictive insights on behavior change. Combining six key behavior dimensions with human-guided expertise, it helps teams analyze motivations, uncover biases and design strategies that actually influence actions. With 98% accuracy against expert judgment, BeSci x AI makes behavioral science scalable, reliable and actionable—helping brands understand what drives change and create better customer experiences.
An innovative AI tool built on 32 validated emotional categories for measuring consumer emotions visually, bypassing the limits of words.
Evoke™ is Escalent’s innovative tool for measuring consumer emotions visually, bypassing the limits of words. Users select images that best capture their feelings, tapping into instinctive System 1 emotional reactions. Built on 32 validated emotional categories and recently enhanced with AI, Evoke delivers faster, more accurate and unbiased insights, helping brands understand emotions behind behavior, loyalty, messaging and product perceptions.
A research-driven, human motion data solution designed for robotics and embodied AI teams that need high-quality, human motion training data.
Human Motion Intelligence is Escalent’s research-driven, human motion data solution designed for robotics and embodied AI teams that need high-quality, human motion training data grounded in real-world behavior. Combining behavioral science expertise with AI-enabled data collection, validation and annotation workflows, it transforms observable human movement into structured, AI-ready datasets at scale. By capturing how people perform tasks across industries, environments and use cases, Human Motion Intelligence helps teams train more accurate models, accelerate deployment and build humanoid robotics systems that perform reliably in the real world, not just in simulation.
AI-powered synthetic research solutions that accelerate decision-making while maintaining research rigor and trust.
Human-Guided Synthetic Research helps teams make faster, more confident decisions with AI-powered synthetic research grounded in rigor and trust. By combining synthetic data, digital twins and conversational AI personas with human oversight, it enables researchers to extend the value of existing data, explore new hypotheses and test ideas more efficiently. Built on expertise in behavioral science, governance and market research, this approach supports deeper audience understanding and faster learning cycles—without replacing real human research.
Ask about our AI research practices, enterprise AI advisory and responsible adoption frameworks.
How do plan sponsors really feel about their 401(k) providers? Our new study from Cogent Syndicated dives into how emotional analytics reveal plan sponsors' drivers of satisfaction, loyalty and retention.
Customer success becomes a more powerful growth engine when it is both human-led and AI-ready, enabling SaaS teams to blend empathy with intelligence, turn customer signals into actionable insight and strengthen experiences that drive long-term, sustainable growth.
Synthetic data is only as reliable as the human signals behind it. This blog post explores how insight communities provide the ongoing feedback needed to help brands validate, refine and keep synthetic systems connected to real human behavior over time.
Synthetic data can accelerate research by simulating hard-to-reach audiences, testing scenarios and scaling insights quickly. However, it introduces risk when used without a clear understanding of what is being modeled and what is being lost. Poorly generated synthetic data can amplify bias, mask real-world variability or create false confidence in findings. The value lies in using it selectively—alongside real data—where it enhances speed without compromising validity.
AI can process large volumes of data and identify patterns quickly, but it lacks the contextual understanding needed to interpret meaning and relevance. Without human judgment, insights risk being incomplete or misaligned with business realities. Organizations that apply human-guided AI—where experts validate outputs, add context and challenge assumptions—are better able to turn data into decisions. This approach ensures insights are not only fast, but also accurate, actionable and grounded in real-world understanding.
As AI becomes more embedded in research workflows, validation and governance are critical to maintaining trust in insights. This includes implementing bias checks, traceability, review loops and clear accountability for how outputs are generated and used. Organizations need frameworks that combine technical validation with human oversight to ensure insights are accurate, ethical and aligned with business objectives. Effective governance helps prevent over-reliance on automation and ensures that AI outputs can be confidently used in decision-making.
AI agents are shifting from simple tools to systems that can plan, execute and iterate on research tasks. This changes how market research teams operate, enabling more continuous and automated workflows across data collection, analysis and reporting. By reducing time spent on repetitive operational work, AI agents can help researchers focus more on interpretation, strategic thinking and decision-making. However, as AI agents take on more responsibility, the need for human oversight becomes more important. Organizations must design systems that balance automation with control, ensuring that AI supports decision-making without replacing the judgment and expertise required for high-quality insights.
Not necessarily. The organizations that benefit most from AI agents are not always the ones that automate the most. Successful adoption depends on combining AI capabilities with human expertise, strong governance and clear business objectives. While AI agents can improve efficiency, consistency and scalability, research quality still relies on judgment, contextual understanding and methodological rigor. The greatest value comes from using AI agents to support researchers—not from removing people from the process entirely.
New findings from EVForward reveal a clear gap between what car shoppers want in a BEV and what many OEMs currently deliver, highlighting vehicle design as a leading purchase motivator to win the next generation of BEV buyers
New Retirement Planscape® report from Escalent reveals rising optimism about technology even as plan sponsors grapple with cybersecurity risk
Escalent launches a comprehensive behavioral science model powered by AI that produces better behavior change strategies faster.
