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Data & AI Solutions

How do we leverage data and AI to accelerate decisions and unlock value potential?

We develop scalable data and AI solutions that automate operational processes, personalize customer interactions, and significantly speed up decision cycles. For corporates, mid-market companies, and PE portfolios, we create clear data architectures, high-performance ML models, and production-ready AI services that deliver real business impact.

Companies trusting us
with digital growth
150+
Ventures grown into
market leaders.
25+
Passionate experts in
technology and business.
300+
Countries we serve.
12+

Data & AI solutions

Three ways we turn intelligence into outcomes

DevelopX’s Data & AI Solutions support organizations that want to use data strategically and deploy AI productively. We combine data engineering, machine learning, MLOps, AI product design, and modern platform architectures to build reliable, scalable, and securely operated AI applications. The outcome: automated processes, more precise decisions, reduced OPEX, and new data-driven growth opportunities.

Aligned data strategy

“We needed data we could actually trust, not just store.”

AI only works when the data behind it is of high quality and appropriately governed.
We design data strategies and platforms that are structured, compliant, and connected. We enable the creation of insights, leveraging AI across customer interfaces and workflows and empower autonomous AI agents.


  • Business-aligned data strategies that support delivery
  • Scalable platforms with data governance and AI readiness built in
  • Clean, structured datasets that power reliable insights and ensure interoperability with AI (agents)

Smarter customer intelligence

“We needed faster insights and a better way to serve our customers.”

We replace slow research and manual service with AI that learns, adapts, and scales.
From GenAI assistants to real-time insight loops, we help you stay closer to customers.


  • GenAI tools that automate and personalise responses
  • AI data analysis loops to replace traditional research
  • Scalable customer service solutions that improve response times, answer quality and customer satisfaction

AI-Driven products

“Everyone talks about AI, but hardly anyone makes the step from proof of concept to a fully-fledged solution.”

We design the platforms we develop to be directly compatible with AI (agents).
This makes AI applications easier to integrate and faster to scale.


  • Embedded AI features that add real product value
  • Intelligent workflows that streamline core operations
  • Autonomous AI agents that perform tasks independently

GenAI solution for Carl Zeiss Meditec

50% faster clinic responses using GenAI

20%
conversion lift in the first test period
A GenAI solution designed and delivered to cut response times and increase conversion. It boosts satisfaction and supports clinics across the globe in handling initial communication with patients more efficiently.
Computer screen showing a Zeiss login page with a woman working on a laptop, set inside a bright medical examination room.

What Smart Data Strategy Looks Like

AI where it counts

You know AI matters. We help you pinpoint where it creates the most value. This means you invest in what works, not what’s trending.

Unified data, less noise

Disconnected tools and data create more questions than answers. We unify data sources and dashboards so your teams see the full picture, in one place.

Smarter decisions backed by data

Insights allow more data based decision making. We help you move from gut feeling to data-backed direction, fast, confident, and focused.

Built for growth, not just pilots

We design data and AI solutions to scale. From pilot to platform, everything we build is made to integrate, evolve, and deliver long-term value.

Let’s put data behind every decision

We help use data and AI to gain insights, develop smarter products, and make work more efficient.

Interested?

FAQ

01.

Für wen ist das Whitepaper relevant?

Für Entscheiderinnen und Entscheider in der Versicherungswirtschaft, insbesondere aus den Bereichen Strategie, Operations, Digitalisierung, IT und Kundenmanagement.

02.

Was unterscheidet dieses Whitepaper von anderen Publikationen zum Thema KI?

Es verbindet strategische Perspektive mit konkreter Umsetzungserfahrung aus realen GenAI-Projekten. Von der Schadenautomatisierung bis zur Einführung virtueller Versicherungsassistenten.

03.

Welche konkreten Ergebnisse zeigt das Whitepaper?

Bis zu 90 % Dunkelverarbeitung, 70 % Kostenreduktion pro Interaktion und signifikante Steigerungen in Kundenzufriedenheit und Reaktionsgeschwindigkeit – basierend auf realen Projektdaten.

04.

Warum sollte ich jetzt handeln?

Die technologische Reife ist erreicht. Die wahren Unterschiede entstehen jetzt – zwischen Versicherern, die experimentieren, und jenen, die skalieren. Jede Verzögerung vergrößert den Abstand zu den digitalen Vorreitern.