Intellias

Intellias is a product engineering and AI services firm with offices across 17 countries and 23 cities, including major hubs in Kyiv, Lviv, and Odesa (Ukraine), as well as locations spanning Europe, the Middle East, India, Japan, and North America. The company works with 170+ clients across mobility, financial services, healthcare, retail, iGaming, and software platforms. Rather than positioning itself as a generalist, Intellias focuses on specific, measurable outcomes: it helped Travis Perkins achieve a 10–15% boost in team velocity through AI-assisted code autocompletion, enabled a SaaS company to launch new revenue streams in nine months through data consolidation, and built a Point of Sale system for City Plumbing that drove a 39% revenue increase.

Services and capabilities

Intellias organizes its work into five service categories. Product Engineering covers product strategy, platform development, quality engineering, and managed support. AI Services include AI-enabled engineering, generative AI, an AI Ready Data Engine, and responsible AI frameworks. The company's Data practice handles data strategy, governance, and engineering. IT & Cloud Infrastructure services span technology consulting and application modernization. Finally, Strategy & Design helps clients turn business ambition into digital products.

The firm's AI approach centers on what it calls the "Pragmatic AI Playbook"—a step-by-step methodology that aligns AI and ML technologies with specific business goals rather than chasing trends. The playbook moves through use case discovery, AI readiness and data foundation building, and then model development and targeted delivery. In practice, this means Intellias evaluates existing systems for readiness, consolidates fragmented data sources, and deploys focused solutions rather than attempting wholesale transformation in one go.

Concrete examples underscore the methodology. For an identity verification company, Intellias integrated disparate platforms into a centralized AWS data layer and deployed SageMaker for MLOps, reducing churn through automated customer recommendations. For a European airline, it built a multi-agent AI system handling 100+ destinations and 200+ intent categories, cutting contact center escalations and enabling 24/7 support. For a property intelligence startup, it redesigned legacy batch processes into a serverless, event-driven architecture on AWS, achieving a 10x reduction in total cost of ownership.

Notable work

Travis Perkins (retail/DIY): Intellias deployed an AI-powered code autocompletion tool that raised team velocity by 10–15%, reduced development lead time by 30%, and earned 100% team acknowledgment of productivity gains. The engagement also delivered a multi-channel customer engagement solution that generated £100 million in revenue and over one million orders within two years.

City Plumbing (B2B retail): A custom Point of Sale platform increased revenue by 39%, lifted conversions by 60%, and retained 20+ enterprise clients. The solution cut staff training and onboarding time while enabling personalized services both online and at the counter.

Zeekr Technology Europe (automotive/mobility): Intellias is collaborating on AI-powered navigation solutions showcased at CES, with the goal of delivering seamless, unified digital experiences across vehicle touchpoints.

Swissquote Bank (financial services): Intellias built an onboarding system that modernized customer account setup processes.

Ukrcard (financial services): The firm modernized AWS cloud infrastructure for this card payment network.

Nomo Fintech: Intellias supported the launch of a digital bank in under a year, working entirely remotely. The CTO cited the partnership as essential to creating intuitive customer experiences and a differentiating technology stack.

Connex2X (automotive technology): Intellias developed V2X (vehicle-to-everything) technology for the aftermarket, demonstrating deep understanding of global automotive supply chains.

How they work

Intellias employs a phased engagement model. The first phase focuses on use case discovery and strategy—pinpointing high-value GenAI opportunities aligned to business outcomes and establishing governance and security standards. The second phase preps the AI foundation: infrastructure assessment, data cleaning, and guardrail setup. The third phase involves model development and targeted delivery with a deliberate, focused rollout rather than disruptive enterprise-wide launches. The firm maintains offices across three Ukrainian cities (Kyiv, Lviv, Odesa) and operates in 16 other countries, suggesting a distributed model capable of supporting both nearshore and offshore engagements. No pricing or contract length information is published on the website.