1. Develop new digital products
Create customer portals, custom applications, and digital services that support new business functions and ways of working.
Software, Data & AI Engineering
Develop new capabilities. Move beyond existing limits.
We develop software, data platforms, and AI systems that help organizations launch digital products, improve operations, and put their data to work. From new applications to the modernization of existing platforms, we combine sound architecture decisions with hands-on engineering and delivery.
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Technology that enables new capabilities and improves the way you work.
Discover Our ServicesNew digital services, rising expectations for data, and practical AI use cases are changing what businesses need from technology. Sometimes that calls for a new application. Sometimes the priority is reliable data, a more efficient process, or a clear architecture decision. We engineer the systems that make those changes possible.
2. Automate operational processes
Reduce manual work, move information reliably across systems, and support repeatable workflows with software and AI.
3. Put data to work in decisions
Connect data sources, establish consistent metrics, and integrate forecasts into operational planning and decision-making.
4. Evolve existing systems
Modernize applications, reduce technical dependencies, and adapt platforms to changing business requirements.
Experience developing and improving demanding digital systems.
Our work spans new digital applications, data integration, software platforms, and the evolution of existing systems. What matters is that the result meets business requirements and fits its intended operating environment.
Software, data, and AI engineering. From architecture to delivery.
Discover Our ServicesWe bring software engineering, data engineering, and AI together with the technical disciplines required to deliver complete, working systems. Our five service areas can be engaged individually or combined around your requirements.
Assess new initiatives, review existing architectures, and compare viable technical options. We help clarify feasibility, system dependencies, target architecture, and build-versus-buy decisions.
We develop custom software, digital products, web applications, and platform architectures. That includes entirely new systems as well as targeted extensions, integrations, and modernization of existing applications.
We develop data platforms, automated pipelines, and AI applications. Our work spans analytics engineering, forecasting models, computer vision, machine learning, and generative AI.
We engineer measurement architectures, tracking and consent logic, and integrations across analytics, marketing, and business systems to support consistent data collection and reliable reporting.
We combine technical SEO, information architecture, structured data, and content engineering to make organizations, services, and technical knowledge easier to discover and understand in search engines and AI-powered answer systems.
From individual applications to systems that work together.
Whether the task is a software product, a data platform, or an AI-supported workflow, architecture, data processing, and application logic need to fit together. We develop the necessary components with integration, quality, and operational requirements in mind.
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Reliable data for analytics and applications.
We develop data platforms, automated pipelines, and consistent data models. Information from different source systems is processed, validated, and made available for reporting, forecasting, or digital products.
Vysentra: Make your AI search visibility measurable.
Explore VysentraAI visibility monitoring for your brand across AI answer engines.
When prospective customers ask ChatGPT, Gemini, or Perplexity to recommend providers, does your brand appear in the answer? Traditional search rankings cannot fully explain that part of the discovery journey.
Vysentra tracks your AI search visibility using relevant customer questions. See when your brand is mentioned or recommended, which sources are cited, and how you compare with competitors. Repeatable measurements reveal changes over time.
Use the findings to identify visibility gaps and prioritize content, SEO, and generative engine optimization (GEO). Vysentra provides the evidence for better decisions, not a promise of placement in AI-generated answers.
Engineering decisions proven in real projects.
Explore selected projects across digital applications, platform modernization, and enterprise system integration. Each shows the technical choices behind a specific business requirement.
Valanor is migrating bdtronic's website from TYPO3 to Prismic and Nuxt, with ongoing search development using Typesense. Ruess Group provided the design.
Valanor provides ongoing strategic SEO and GEO consulting for MYPEGASUS, developing the key workstreams for traditional search and AI answer engines and supporting their continued refinement.
Valanor migrated the Schubert Group website from Contao to Remix and Sanity, creating structured content that can also support sales applications such as Waypoint and Iskra.
Valanor developed TAMPOPRINT's new website and migrated its existing Contao setup to Prismic. A technical modernization of an industrial B2B website, delivered in collaboration with RUESS Group.
Not every requirement calls for a new platform. Every requirement calls for the right technical decision.
New development, targeted improvements, or established software: the requirements should decide.
Some business needs can be met with existing applications and well-defined interfaces. Others call for a new software architecture, a dedicated data platform, or custom-developed functionality. We assess which systems should stay, where off-the-shelf software makes sense, and which components need to be developed. The decision starts with the required capability, its technical constraints, and the long-term impact on development and operations.
Technical ownership from the first decision through delivery.
Good software starts with a clear understanding of the requirements, appropriate architecture, and disciplined implementation—not a particular framework. We work directly with our clients’ business and technical owners, connecting architectural decisions with the people responsible for delivery.
Senior-led Engineering
Experienced engineers lead architecture decisions and implementation. Technical questions are resolved directly with the people developing the system.
Architecture before Technology
Technology choices follow functional requirements, integration effort, and long-term ownership. We use established software where it makes economic and technical sense, and custom development where the business need justifies it.
Engineering for Operations
We consider testability, deployment, monitoring, security, and maintainability throughout development so systems can operate effectively in their intended environment.
Make technical decisions with a clearer understanding.
Engineering articles on software architecture, data engineering, machine learning, and practical technology decisions.
A technical implementation guide to PII masking: choose enforcement points, reduce sensitive fields and test access—illustrated with synthetic pension-fund records in ClickHouse.
A practical engineering comparison of pseudonymisation, anonymisation, masking, hashing and tokenisation, including risks and Python examples.
Stape hosts server-side Google Tag Manager infrastructure. Learn how it works with GA4 and Meta, where it helps, its limitations, and what implementation requires.
An independent technical review of OpenLakeForge, a cloud-agnostic open-source lakehouse for small data teams. Architecture, operational trade-offs and alpha limitations.
Discover how predictive analytics turns supply chain data into actionable insights. Stay ahead of delays, shortages, and shifting demand.
Learn how sales teams move beyond vanity metrics and use data to increase win rates, shorten sales cycles, and accelerate pipeline velocity.
Let's discuss your next step
What do you want to make possible?
Planning a new digital product, looking to use data in operational decisions, or evolving an existing application? Tell us about the outcome you need and the technical constraints involved. Together, we can identify a sensible approach and the next steps for your project.
Aleksandar Basara
Managing Director
aleks@valanor.co
+49 (0) 711 16 44 6 83
Lindenspürstrasse 22, 70176 Stuttgart
