We connect your data, build custom AI for complex problems and embed the solution where your work actually happens, as individual as your company.
Not an off-the-shelf tool, but systems that connect data, understand workflows and fit cleanly into your existing landscape.
We connect to how you actually work (ERP, CRM, DMS, telephony, APIs) instead of creating yet another isolated tool. Automation where the work happens.
We connect scattered data sources, prepare them and make them usable, as a solid basis for automated, traceable workflows.
Tailored to your roles, approvals, data situation and goals. No generic use cases, but systems that fit how you operate.
Where standard models fall short, we build custom AI applications along your domain logic, data and quality requirements.
Nemix is the first AI-native ERP for mid-sized businesses. Configure interface and workflows by voice, without a customising project.
Clear priorities, solid architecture and clean implementation into real operations.
We identify bottlenecks, media breaks and use cases. Prioritised by cost-effectiveness and impact.
We define the target architecture: AI applications, data flows, roles, approvals and integrations.
We build, integrate and run solutions long term. Including monitoring, KPIs, logs and documentation.
The idea is rarely the problem. What usually fails is missing integration, disconnected data and generic solutions with no link to the process.
AI is treated as a standalone tool instead of part of a solid system architecture.
Data stays fragmented across email, Excel and isolated systems, and therefore cannot be connected.
Use cases are too generic and match neither operational reality nor real priorities.
Data integration: scattered sources are connected, prepared and processed automatically.
Process integration: CRM, ERP, telephony and APIs as part of one overall system.
Custom AI: your own models and applications for your complex problems.
Dependable operations: implemented productively, with roles, logs, monitoring and maintainability.
A glimpse of how we turn concrete requirements into robust, connected applications.
Rebuild websites automatically, modernise online presences and use existing pages as the basis for a stronger web presence.
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Evaluate bills of quantities automatically, flag relevant items, check standards references and classify them professionally.
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Regional research logic: identify construction projects, place them geographically and pre-sort them by relevance and sales potential.
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Intelligent phone communication for follow-up questions, scheduling and standardised service processes, connected to your systems.
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Create posts automatically, structure them editorially and publish across platforms, consistently and without capacity bottlenecks.
Learn moreRead floor plans automatically, detect rooms and areas, extract dimensions and provide them structured for costing and planning.
Discuss your use caseIntelligent neural network for stacking large precast concrete elements. Transport-optimised and trained on thousands of historical records.
Discuss your use caseThese examples stand for larger operational systems. Let us talk through your specific case.
Discuss your use caseCalculated conservatively at 60 % automation. The calculator shows time potential only. Error costs, response time and quality gains are not yet included.
Time only, excluding quality, follow-up and error costs.
Request an analysisSo it is immediately clear where data integration, system integration and custom AI make sense.
Briefly describe your process. You will get an honest assessment of whether automation or AI makes sense here, and what the cleanest starting point would be.
From data integration to productive AI, robustly embedded in your processes.
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