
Let's Talk AI and Engineering at Web Summit 2026


Planning to attend Web Summit 2026? Bring your AI, data, or software engineering challenges to the conversation.
Meet Nataliia at Web Summit
She helps businesses strengthen engineering processes, improve collaboration, and scale complex technology initiatives.
- Delivery transformation: Builds scalable processes and improves engineering execution.
- Agile leadership: Guides teams in Agile, Lean, and SAFe methodologies.
- Operational excellence: Strengthens collaboration, productivity, and delivery quality.
- Technology transformation: Supports organizations through modernization and complex delivery initiatives.
AI Enablement Backed by Senior Engineering
98%
300+
Why meet us at Web Summit?
- Explore opportunities for AI implementation in your business.
- Discuss how to prepare enterprise data for AI.
- Identify priorities for legacy system modernization.
- Address software architecture and integration challenges.
- Find ways to accelerate engineering delivery and scale development.
Industry Leaders We Work With
Engineering Expertise for AI and Digital Growth


AI-Ready Data

Legacy Modernization

Custom Software Development

Quality Assurance

DevOps

Cloud Engineering

Mobile Development
Technology Solutions for Real Business Challenges
AI Assistants Connected to Your Business Knowledge
- Enterprise knowledge search: Find relevant information across internal documents and connected systems
- Conversational assistants: Help employees access information and complete routine tasks through natural language
- Retrieval-augmented generation: Ground AI responses in enterprise data and approved knowledge sources
- Knowledge integration: Connect AI assistants with existing collaboration and business platforms
Automating Complex Business Processes with AI
- Document processing: Automate summarization, classification, and information extraction
- Workflow integration: Introduce AI capabilities into existing enterprise applications
- Human-in-the-loop review: Support critical decisions with human validation of AI outputs
- Process automation: Reduce repetitive work across operational and administrative tasks
Building Reliable Data Foundations for AI
- Data integration: Bring information from disconnected systems into unified platforms
- Data pipelines: Build reliable ingestion and transformation workflows
- Data quality: Improve consistency, accuracy, and accessibility across data sources
- Data governance: Establish controls for secure access, traceability, and responsible data use
Turning Enterprise Data into Timely Insights
- Real-time processing: Reduce delays between data generation and availability
- Event-driven architecture: Enable continuous data exchange between business systems
- Business intelligence: Develop analytics capabilities for operational and strategic decisions
- Scalable processing: Support growing data volumes and complex analytical workloads
Modernizing Critical Systems Without Starting Over
- Architecture assessment: Identify bottlenecks, dependencies, and modernization priorities
- Application refactoring: Improve maintainability and performance of existing systems
- Incremental migration: Move functionality to modern platforms in manageable phases
- Technical debt reduction: Address outdated components that limit development and scalability
Connecting Applications, Platforms, and Workflows
- API development: Enable communication between enterprise applications
- Third-party integrations: Connect internal systems with external services and platforms
- Workflow orchestration: Coordinate processes across multiple technologies
- Integration modernization: Replace fragile connections with more maintainable integration patterns.
Building Software with Speed and Reliability
- Dedicated engineering teams: Expand development capacity with experienced specialists
- Product engineering: Deliver new features and evolve existing software products
- Test automation: Improve release confidence through reliable testing processes
- CI/CD optimization: Reduce delivery bottlenecks and streamline software releases
Additional Expertise for Enterprise Innovation
AI Assurance & Governance
Platform Reliability & Resilience
Delivering Measurable Growth for Our Clients

AI Suite Transforms Documentation, Translation, and Training

Unified Data Platform for Global Retail Analytics

End-to-End LOS and Admin Enhancements

Stabilizing CI for a Large-Scale Ruby on Rails Monolith
Have a Technology Challenge? Let's Talk at Web Summit

Engineering Built Around Your Business
Business-driven solutions
Scalable architecture


AI & data integration
Quality & delivery governance
What Our Customers Say
Why Businesses Trust Us



Let's Meet at Web Summit 2026
How can I meet Zoolatech at Web Summit 2026?
Click the “Schedule a Meeting” button to arrange a conversation with Nataliia Iatsenko during Web Summit, November 9–12, in Lisbon. We’ll confirm a convenient time and location.
What can we discuss during the meeting?
You can discuss AI implementation, data readiness, legacy modernization, software architecture, and engineering delivery. Whether you’re planning a new initiative or improving existing systems, we’re open to exploring your challenges.
Do I need to prepare anything in advance?
No formal preparation is necessary. Sharing a brief overview of your technology priorities or business challenges will help make the conversation more productive.
Where will the meetings take place?
Meeting locations will be coordinated individually in Lisbon once your appointment is confirmed.



















