UX Research

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.

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Trusted by Enterprises Worldwide

Google-01 Tesla-01-1 Ebay-01-1 Adobe-01 1 Amazon-01 Cisco-01-1 Intel-01-1 Paloalto-01 BMO-01 AutoDesk-01 Walmart-01 Walt Disney-01-01-01 Anaplan-01-1 Acruex-1 FSB-1 Visa-01-1 Airbnb-01 General Electric-01 PayPal-01 Netflix-01 Twitter-01-1 Pintrest-01-1 VMWare-01 Informatica-01 Chase-01 Farmer Insurance-01 Gilead-01 PG&E-01 NBC-01 Caesars-01 Intuitive Omnissa-01 Broadcom-01 Infoblox-01-1 City National Bank-01 Servicenow-01-1 Equinix-01 Trimble-01 Lucid-01 PGE-01-1 Montefiore-01 PFU-01-1 Kaiser-01 ThermoFisher-01 Convergent-01 Chewy-01 CDW-01 Covetrus-01 Platform Science-01

Our Offerings

Conversational AI & Agentic Design
 Conversational AI & Agentic Design 

We go beyond "scripts" to design fluid, multi-modal interactions for the next generation of LLM-powered agents.

  • Intent Architecture & Repair: Mapping complex user journeys to ensure Chatbots handle ambiguity and "hallucination cycles" without degrading the user experience.
  • Prompt Engineering for UX: Optimizing the bridge between human natural language and model response to reduce cognitive load.

  • Tone & Personality Governance: Aligning AI personas with brand values to ensure consistent, empathetic, and safe interactions across global markets.
Trust, Safety & Explainability (XAI)
Trust, Safety & Explainability (XAI)

The "Black Box" is the greatest barrier to AI adoption. We specialize in making complex AI logic transparent and safe.

  • Explainability Frameworks: Designing "just-in-time" disclosures that help users understand why an AI made a specific recommendation.
  • Red-Teaming & Bias Mitigation: PhD-led research to identify edge cases, adversarial inputs, and demographic biases before they reach production.

  • Trust Recovery Workflows: Engineering the "Human-in-the-loop" systems required when an AI agent fails or encounters high-stakes uncertainty.
Human-Centric Code Assist & Developer Experience (DevEx)
 Human-Centric Code Assist & Developer Experience (DevEx) 

Modernizing software delivery through AI requires more than a plugin; it requires a fundamental shift in the developer workflow.

  • Cognitive Load Analysis: Measuring how AI code-completion tools affect developer "flow state" and long-term code maintainability.
  • Code Integrity Audits: Researching the "Trust-Acceptance" curve to ensure developers are critically evaluating AI-generated code rather than blindly accepting it.
  • Toolchain Integration: Optimizing the ergonomics of AI assistants within IDEs to drive 2026+ engineering velocity.
Wearables & Ambient Computing
Wearables & Ambient Computing

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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Elevate every touchpoint with human-centered design, using deep user insight to create experiences that drive engagement, loyalty, and real results. 

Contact Us

The Akraya Advantage: The AI Partner of Choice

PhD-Led Analytical Depth 

Our team includes specialists in Human Factors and Quantitative Psychology (R, SPSS, Python) who understand the math behind the behavior.

Fortune 500 Proven 

Trusted by Google, Amazon, and eBay to manage the most sensitive research portfolios in their AI and Security labs. 

Surgical Delivery 

We don't just provide "UXers"; we provide AI Interaction Engineers who understand LLM limitations and hardware constraints. 

Case Studies

Conversational Integrity for a Global GenAI Program
Conversational Integrity for a Global GenAI Program 

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.

Optimizing Wearable Adoption through Longitudinal Research
Optimizing Wearable Adoption through Longitudinal Research 

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.

 

What Our Clients Are Saying

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.
eBay
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.
PayPal
All of the candidates provided by Akraya are excellent. Their candidates often make the final shortlist. They do a great job.
Wells Fargo

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