Develop new applications and services
Create customer portals, business applications and digital products that serve actual user tasks.
Software, data and AI for mid-sized companies
Software, data and AI for mid-sized businesses
Develop new software, automate processes, make data useful for decisions and improve visibility in search and AI answers. Valanor combines engineering disciplines to deliver practical capabilities, from new systems to targeted improvements.
Develop new digital capabilities. Improve existing operations.
Digital progress starts with a specific business task.
When teams depend on manual exports, disconnected applications or workflows that are difficult to change, another software license is rarely the complete answer. The missing piece is often a coherent system with clear data ownership, interfaces and functions that people can use in daily operations.
At the same time, new opportunities emerge. Customer portals support collaboration, consistent data improves planning and intelligent checks help quality teams. Sometimes this means developing a new application; in other cases, extending existing systems is the better choice.
Valanor combines software engineering, data engineering and AI with technical diagnostics, measurement infrastructure and search visibility. We treat process, data, application and operational context as one engineering problem.
Which business challenges should technology address?
A clear business need determines the right technical starting point.
Automate repetitive workflows
Support document processing, orders, approvals and handoffs with rules or machine learning where justified.
Connect data for better decisions
Integrate and validate ERP, CRM and manufacturing data for consistent reporting, planning and forecasting.
Put AI into operational use
Evaluate computer vision, demand forecasting, OCR and generative AI against data quality and workflow fit.
Measure marketing and sales data reliably
Connect website tracking, consent, analytics and CRM so teams can trust the same signals.
Improve discovery of your expertise
Apply technical SEO, content structure and GEO while using Vysentra to monitor how your brand appears in AI answers.
Our five services for mid-sized businesses
Each initiative may draw on several disciplines. The service pages explain the scope, architecture and requirements.
Assess feasibility, system dependencies and build-versus-buy choices for new and existing applications.
Develop apps, APIs, digital platforms and integrations, extending working systems where useful.
Engineer data pipelines, platforms, analytics, computer vision, forecasting and generative AI integration.
Implement event design, consent, server-side tracking and reliable handoffs to analytics and CRM.
Develop accessible information architecture, technical SEO and measurable AI search visibility without promising citations.
Explore specific mid-market applications
Choose the capability that fits the business outcome. Each page describes the technical conditions and implementation approach.
Support product and packaging inspection with images, traceable findings and operator review.
Make technical B2B expertise accessible in search and AI answers with measurable visibility.
Connect ERP, CRM and manufacturing records for reliable applications and analytics.
Create portals, business applications and interfaces, integrating existing tools where practical.
Explain complex offerings, support editorial workflows and enable useful customer journeys.
Develop consistent metrics and actionable reporting for operations and management.
Assess document processing, forecasting, machine learning and generative AI based on actual workflow needs.
New development or extending existing systems? Let the requirement decide.
A complete replacement is not always necessary. Existing ERP, CRM, CMS and production applications can remain useful even when a particular workflow needs new capabilities. In that case, we develop targeted APIs, data models or application features.
For a differentiated digital product or highly specific workflow, custom software may be more economical than a chain of tools and workarounds. We assess integration, licensing, maintainability, ownership and operations.
AI projects need more than a prototype. Representative data, permissions, evaluation criteria, error handling and monitoring must match real use.
SEO and GEO for mid-sized businesses: be findable and understood
Digitale Sichtbarkeit ist eine technische und inhaltliche Aufgabe – keine Sammlung isolierter Keywords.
Technical SEO enables search engines to access and interpret relevant content through a clear site structure, crawlable pages, descriptive links and structured information.
Generative Engine Optimization (GEO) addresses how factual business information is understood and potentially referenced in AI answers. Accurate expertise, consistent entity information and evidence matter. No special schema or markup guarantees that an AI system will cite or recommend a company.
Mid-market B2B buyers use search and AI systems to compare suppliers. Good pages answer what a service does, the requirements, evidence and next step.
Vysentra: measure your brand's visibility in AI answers
Explore VysentraMeasure AI visibility using repeatable buyer questions
Vysentra analyzes whether and how your brand appears when prospective customers ask relevant questions across AI answer systems.
The monitoring covers brand mentions, competing companies and cited sources. Repeatable tests reveal changes over time, without promising rankings or recommendations.
Published engineering projects
Selected technical implementations
These projects document specific software and integration decisions and Valanor's actual responsibilities. They are not evidence of unrelated AI outcomes.
Web application
Valanor developed the Next.js frontend for an ABB digital magazine while retaining headless WordPress. Ruess Group handled concept and design.
Composable commerce
A manually intensive WooCommerce store was migrated to a composable commerce setup using Remix and Crystallize.
Pragmatic integration
A PROTEKTORWERK merchandise store was implemented with Shopify and Easybill, an appropriate standard-software integration.
CRM implementation
HubSpot Marketing Hub and Sales Hub were configured for marketing and sales processes, including workflows, trade-show leads and employee training.
Frequently asked questions about software, data and AI in the mid-market
Practical decision questions before starting a technical initiative.
What digital initiatives make sense for mid-sized businesses?
Start with an identifiable outcome: a portal, business application, data integration, automation or evaluated AI feature. Assess value, scope, data and ownership.
Should we buy standard software or develop custom applications?
Use standard software when it meets the requirements economically, including integration and operations. Custom development is justified where workflow, differentiation or integration warrant it.
Can our ERP, CRM and manufacturing systems remain?
Often yes. We assess their APIs, data models and technical constraints and extend them where practical.
When is AI useful in the mid-market?
When a bounded use case has suitable data, measurable quality criteria and a useful place in a business workflow.
Which in-house resources are needed?
An accountable business owner, access to relevant systems, and clarity on acceptance and operations. IT involvement depends on security and integration scope.
How can cost and delivery risks be estimated?
Define scope, current systems, integration conditions and measurable acceptance criteria before estimating effort.
What is the difference between SEO and GEO?
SEO focuses on search accessibility and relevance. GEO additionally considers how accurate content is understood in AI-generated answers. They share technical foundations.
How do we measure brand visibility in AI answers?
Use repeated tests of relevant prompts across systems, recording mentions, sources and competitors. Vysentra supports this monitoring.
Discuss your project
What digital capability does your business need next?
You do not need to choose an architecture or technology in advance. Describe the process, current limitation or product idea. We can review the right technical approach and a realistic first step with Aleksandar Basara.
Aleksandar Basara
Managing Director
aleks@valanor.co
+49 (0) 711 16 44 6 83
Lindenspürstrasse 22, 70176 Stuttgart
