Power Smarter Products with AI-Driven UX & Feature Design
We help teams build intelligent user experiences by embedding AI into product flows from personalisation to prediction.
What’s Included in Our AI/ML Product Development Services
AI Strategy and Planning
Defining how AI can enhance your UX and business outcomes.
AI Enhanced UX Designer
Personalized UI, predictive flows, and smart interactions.
Model Integration
TensorFlow, PyTorch, OpenAI API, or your own custom models.
Data Pipeline Setup
Feature engineering and clean, contextual data collection.
AI MVP Development
Launch fast with testable AI features or microservices.
Optimization
Continuous learning loops, A/B testing, and iteration.
How We Work
Discovery
Define goals, audit existing data, and understand user types to set a clear foundation.
UX + Data Strategy
Identify high-impact AI opportunities and map where data can meaningfully improve UX.
Prototyping
Create wireframes and interactive prototypes using Figma, paired with real data logic.
Development
Build the frontend and integrate AI models seamlessly into the product experience.
Optimization
Refine through feedback loops, testing, and continuous iteration to improve outcomes.
The Value We Bring to the Partnership
Design Meets Data
We create usable, human-first AI experiences.
Speed from MVP to Scale
Build fast, iterate faster.
Product + ML Thinking
We design, test, and implement AI with product context.
Collaboration
We work with your product, data, and ML teams.
FAQs
Timelines depend on the scope and complexity of the solution. A focused proof of concept can take a few weeks, while full-scale AI implementations may span a few months. We define clear phases upfront so you know what to expect at every stage.
Absolutely. We frequently collaborate with internal product, engineering, and data teams. Whether you need strategic direction, specialised AI expertise, or end-to-end execution support, we integrate seamlessly into your existing workflows.
We support integrations across cloud platforms, internal databases, third-party APIs, CRMs, analytics tools, and existing product systems. Our approach is platform-agnostic; we design solutions that fit into your current tech stack rather than forcing change.
Yes we do, charged at $2000 per concept. In fact, we often recommend starting with a focused proof of concept. It allows you to validate feasibility, assess impact, and gather internal buy-in before committing to a larger rollout.