Are you exploring how Generative AI (GenAI) could support your product development? Do you want to go beyond the hype and actually make GenAI work for your team, your goals, and your users?

At Empathy.ai, we believe the key lies not just in adopting GenAI as a tool, but in understanding how it reshapes the way product teams operate and deliver value. Therefore, we’ve designed our platform with that transformation in mind: privacy-first, cloud-agnostic, and tailored to the real needs of enterprise teams in e-commerce.

Why product teams should care about GenAI, especially ours

Product teams work at the crossroads of user needs, business strategy, and technology. That means working with ambiguity, competing priorities, and fast-moving timelines. At Empathy.ai, we’ve started taking short steps that have had a great impact on our ways of working. 

Imagine the following scenario:

  • A designer generating multiple UX instances with privacy-safe AI assistance.
  • A product manager summarizing customer feedback directly within a private infrastructure.
  • A developer using a private LLM to explore implementation options while protecting sensitive data.

With Empathy.ai, this is not a mere theoretical scenario, it’s reality that’s already in action.

Built for private cloud and for product teams

Unlike many AI applications, Empathy’s GenAI technology is designed to run in private cloud or on-premises environments, offering a level of control and security most product teams can only hope for with commercial models. 

Our initiatives are:

  • Cloud-agnostic and extensible: Use your own infrastructure—AWS, Azure, GCP, or fully private. You’re in control.
  • Privacy by design: Our private LLM architecture uses secure vector databases, anonymization, and Retrieval-Augmented Generation (RAG) to ensure sensitive data is never unnecessarily exposed.
  • Trusted by top brands: Retail leaders like Kroger, and Carrefour are already building next-gen, AI-powered search and discovery on our platform—without compromising on data governance.

Powering GenAI with in-house GPUs for full autonomy

At Empathy.ai, we’re also investing in running GenAI on in-house GPUs within private cloud infrastructure. Why? Because true independence from third-party providers isn’t just a technical preference, but a strategic advantage. By relying on our own hardware, we reduce risk, avoid downtime from external service outages from providers like R1 and Mistral, and ensure consistent performance. 

This infrastructure empowers us to innovate faster, fine-tune models securely, and guarantee availability even when hyperscalers face disruption. For product teams, it means peace of mind: no surprise service limits, no data exposure, just uninterrupted, secure collaboration with AI that’s truly under your control.

Where GenAI fits into the product workflow and how Empathy makes it safer

Empathy.ai supports product teams across the full development lifecycle:

Discovery and research: Speed up analysis of voice-of-customer input, generate insights from secure internal datasets, and iterate on hypotheses—combining third-party LLMs and self-hosted GPUs.

Ideation and prototyping: Visualize UI variants, simulate conversation flows, or draft user stories—knowing everything is staying in your ecosystem.

Design and development: Generate error messages, placeholder content, and accessibility labels using LLMs with fine-tuned relevance to e-commerce and personalization.

Delivery and iteration: Write onboarding flows, microcopy, or release notes, securely and contextually.

These small boosts accumulate, unlocking faster iteration, higher alignment, and better decisions, without sacrificing control or compliance.

A mindset shift with the infrastructure to match

To truly harness GenAI, product teams need more than enthusiasm; they need a mindset shift and the right infrastructure. At Empathy.ai, we help teams see AI not just as a vendor tool, but as a collaborator, one that supports inclusion, cross-functional alignment, and deeper user understanding.

This is particularly powerful in organizations that prioritize data protection. Our model ensures that even non-technical team members can co-create with AI safely: copywriters can draft variants, analysts can summarize feedback, and designers can ideate—all within a secure environment that respects user trust.

What to keep in mind

GenAI isn’t magic, and we’re not pretending it is. Here’s what we always tell our partners:

  • Validate AI outputs: LLMs still hallucinate.
  • Set clear goals: whether it’s speed, clarity, or empathy in UX.
  • Keep humans in the loop: bias is real, and so is human judgment.
  • Don’t trade control for convenience: your data should remain yours.

Empathy’s GenAI technology was built from the ground up to support those principles. We believe in augmentation, not automation for automation’s sake.

The future of product work is private, augmented, and purposeful

The most successful product teams won’t just adopt GenAI; they’ll adopt it intentionally, in ways that support their own workflows, values, and goals. At Empathy.ai, we’ve built the foundation to make that future possible—without compromising people’s privacy.

So the question isn’t if GenAI fits into your workflow. The question is: How can you use it—safely, creatively, and purposefully—to build products that truly resonate with your users?

Let’s find out together.