PhD-Led Analytical Depth
Our team includes specialists in Human Factors and Quantitative Psychology (R, SPSS, Python) who understand the math behind the behavior.
Engineering Trust in the Age of Autonomy
As AI transitions from a tool to an agent, the "Mission-Critical Gap" has shifted. Success is no longer measured by model accuracy alone, but by Explainability, Trust, and Safety. Akraya provides the behavioral guardrails and human-centric design required to deploy Chatbots, Code Assist tools, and Wearables that users don't just use, but trust.
We go beyond "scripts" to design fluid, multi-modal interactions for the next generation of LLM-powered agents.
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The "Black Box" is the greatest barrier to AI adoption. We specialize in making complex AI logic transparent and safe.
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Modernizing software delivery through AI requires more than a plugin; it requires a fundamental shift in the developer workflow.
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Bridging the gap between digital intelligence and physical sensation.
Haptic & Biometric Feedback Loops: Designing non-intrusive notification systems for health and productivity wearables.
Privacy-First Interaction: Researching user comfort levels with "Always-On" listening and environmental sensing to ensure regulatory and ethical compliance.
Form Factor Ergonomics: Testing the intersection of hardware comfort and software utility in high-usage consumer and enterprise environments.
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Our team includes specialists in Human Factors and Quantitative Psychology (R, SPSS, Python) who understand the math behind the behavior.
Trusted by Google, Amazon, and eBay to manage the most sensitive research portfolios in their AI and Security labs.
We don't just provide "UXers"; we provide AI Interaction Engineers who understand LLM limitations and hardware constraints.
The Challenge: A leading technology firm needed to measure the "Stakeholder Pulse" and utility of its evolving GenAI ecosystem across 1P, 2P, and DSP platforms.
The Akraya Solution: We deployed an Embedded ResOps model, utilizing PhD-led quantitative rigor to track user sentiment and identify "Explainability Gaps" in model outputs.
The Challenge: A hardware innovator needed to understand the long-term "Stickiness" and biometric accuracy perceptions of a new enterprise wearable.
The Akraya Solution: We executed a multi-month diary study focused on the "Human-Device Bond," identifying the specific haptic triggers that increased user engagement.
Akraya has provided eBay with outstanding service that continues to improve each year. We are pleased to have Akraya as a partner and recommend them without hesitation.
Akraya’s excellent customer service is quick to respond to our requests and continues to earn positive reviews from our hiring managers. They are one of our most valued suppliers.
All of the candidates provided by Akraya are excellent. Their candidates often make the final shortlist. They do a great job.
Mar 27, 2026
Mar 27, 2026
Mar 20, 2026
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