Engineering Trustworthy AI for German Business.
01 — Practice
We engineer production AI systems for German enterprises — combining strategy, software engineering and regulatory governance into a single delivery team.
Why Vertexally
Engineering excellence, not consulting theatre.
Client references kept confidential on request.
01
Engineering before Hype
We build production-ready systems, not prototypes.
Every engagement delivers working code, automated tests, and documentation. We run production readiness reviews before every handover — not slide decks.
02
Transparent Delivery
Regular updates, documented progress, no surprises.
We work in short, reviewable increments. You see the system evolve, know the status at every point, and maintain full visibility into timeline and progress.
03
Compliance by Design
GDPR, data privacy and EU AI Act readiness from day one.
Regulatory requirements are embedded into architecture decisions before the first line of code is written — not retrofitted at the end of an engagement.
04
No Vendor Lock-in
Open architectures, client-owned IP, clean exit paths.
You own everything we build. Our architectures are designed for portability — you can run, extend, or transfer the system to another team at any point.
05
German Enterprise Expertise
We understand Mittelstand processes and regulated industries.
Our team has worked inside German manufacturing, insurance and financial institutions. We speak both AI and Fachbereich — and understand what auditability means in practice.
06
Long-term Partnership
We think in years, not in project phases.
We structure each engagement with what comes next in mind. The systems we build are meant to support your organisation beyond the initial scope — not require replacement after two years.
02 — Selected Work
All Projects →
DAX-30 Insurance Group · Claims Processing
AI Claims Intelligence Platform
Strategy · Applied AI · 2024
A high volume of incoming claims was processed manually, creating backlogs and inconsistent routing decisions. We built a document understanding system that classifies, extracts, and routes claims — deployed on-premise within the client's existing infrastructure.
- —Average handling time for routine claims significantly reduced
- —Straight-through processing rate substantially increased, reducing manual review load
- —Full audit trail across every classification step — aligned with internal compliance requirements
Mittelstand Manufacturer · Industry 4.0
Predictive Operations Platform
MLOps · Governance · 2023
Reactive maintenance across multiple production sites was generating avoidable losses. We deployed an MLOps platform ingesting sensor data to forecast equipment needs in advance — integrated into the existing SAP environment without additional licensing.
- —Unplanned downtime measurably reduced across monitored production lines
- —Maintenance scheduling shifted from reactive to forecast-driven
- —Client engineering team operating the platform independently within three months of handover
03 — Services
Four disciplines. One integrated delivery team.
i.
AI Strategy & Assessment
Identify where AI creates genuine business value
We map your processes, data assets and competitive landscape to surface real AI opportunities — and give honest assessments of where it will not help. We deliver an opportunity matrix, a conservative ROI model, and a prioritised implementation roadmap.
- —Realistic opportunity ranking, not a wishlist
- —ROI model with conservative and optimistic scenarios
- —Clear roadmap with defined decision points
Finance · Manufacturing · Logistics
ii.
Custom AI Development
Deploy production systems integrated with your infrastructure
We engineer retrieval, forecasting and agent systems connected to your data and workflows — documented, tested and maintainable by your own team. No proprietary model dependencies, no platform lock-in.
- —Full integration with existing ERP and data infrastructure
- —Documentation and automated testing as primary deliverables
- —Structured knowledge transfer to your engineering team
Insurance · Automotive · Banking
iii.
AI Governance & Compliance
Meet EU regulation without slowing your organisation
Risk classification, technical documentation and audit trails built to EU AI Act and GDPR requirements — ready for internal review, regulatory inspection and external audit. Compliance as a deliverable, not an afterthought.
- —EU AI Act risk classification and conformity assessment
- —Audit-ready documentation included as a deliverable
- —Ongoing compliance monitoring framework
Healthcare · Public Sector · Financial Services
iv.
Data & Infrastructure
Build a reliable foundation for sustainable AI adoption
Security-first data architecture, pipeline design and infrastructure that gives your AI systems a foundation built to last — on your own cloud or on-premise, without proprietary lock-in.
- —Private cloud and on-premise deployment options
- —Data governance and access control from day one
- —Vendor-neutral architecture you own and control
Manufacturing · Logistics · Healthcare
Our Process
Defined phases. Documented hand-offs.
01
Discovery
We understand your business context, data landscape and specific constraints before proposing anything.
02
Assessment
We identify high-value AI opportunities and define concrete, measurable success criteria upfront — in writing.
03
Technical Validation
We prove feasibility with a focused prototype on your actual data before committing to full development.
04
Pilot
We test in your environment with real users and real data, measuring against agreed criteria.
05
Production
We deploy, integrate into existing systems, and ensure your team can operate independently.
06
Continuous Improvement
We monitor, optimise and evolve the system as your organisation and use case mature.
For German Enterprise Standards
Built for German Enterprise Standards.
GDPR by Design
EU AI Act Ready
NDA-first Engagements
Human Oversight Always
Client-owned Architecture & IP
Private Cloud & On-Premise
Vendor Neutral
Independent Audit Readiness
04 — Approach
01
Engineering Excellence
Clean code, robust architecture, production-ready systems. We measure before we model, and build for the long term — not for the next demo or board presentation.
02
Trustworthy AI
Transparent, explainable and auditable AI systems. Every model decision can be traced, every output can be reviewed. No black boxes, no systems you cannot understand or explain to a regulator.
03
Compliance First
Privacy, security and regulatory compliance are not afterthoughts. We embed them into architecture decisions from the first sprint — because retrofitting compliance is always more expensive.
04
Long-term Thinking
We work quietly, under NDA, and never publish client names. Our engagements are structured to grow with your organisation — not to generate follow-on work, but because the problems worth solving rarely fit a single project.