We Measure Before We Automate. Then We Stay.
Methodical adaptation for regulated industries. Since 2016. Every engagement measured by your outcome, not our hours.
Accuracy first, automation second
- We quantify your decision accuracy before touching a single workflow
- Every recommendation includes projected ROI with a measurement plan
- If automation will not improve the outcome, we tell you before you spend
How We Work
Every engagement follows the same discipline. Measure first, build what the data justifies, stay for the long term.
Assess
4-week diagnostic. We map your workflows, measure decision accuracy, and deliver a prioritized roadmap with concrete ROI projections. You get a written recommendation, not a slide deck.
Build
12-16 week implementation. Senior engineers build production systems trained on your data, integrated into your infrastructure. You own the code and the models from day one.
Scale
Continuous optimization. We monitor accuracy, expand to new use cases, retrain models, and keep your systems compliant as regulations evolve. Most clients stay 3+ years.
What We Do
- Measure decision accuracy before every automation
- Build production systems and run them ourselves
- Senior engineers on every engagement, no exceptions
- Long-term partnerships: insurance, logistics, energy, banking
What We Don't Do
- Take venture capital or optimize for growth metrics
- Sell strategy decks and hand off to subcontractors
- Staff projects with junior engineers or offshore teams
- Automate processes without measuring accuracy first
They did not disappear after the strategy phase. Helm & Nagel built the system, deployed it, and still runs it three years later. That is rare in this industry. - Head of IT, Assekuranzservice AG
Research-Backed Recommendations
When we recommend a technology, we draw on years of systematic market analysis, not a shortlist from a partnership agreement. Our team maintains independent vendor research covering 300+ vendors across 24 capability categories.
Our published work includes annual industry reports and guest articles in trade media such as Springer Professional and BigData-Insider.
Leadership
The founders still review production deployments personally. No layers between you and the people doing the work.

Christopher Helm, CEO
Founder. Has led 100+ enterprise AI engagements across six regulated industries since 2016. Personally involved in every client engagement.

Florian Zyprian, CTO
Architect of production AI systems powering cognitive automation across insurance, logistics, and energy. Responsible for system design, model training infrastructure, and deployment pipelines that run for years without intervention.
Client Results
Named clients, hard numbers, production systems still running. Not proof-of-concepts that ended at the demo.
Cargologic AG
85% of freight documents processed automatically in under 6 months. Zero customs rejections from AI-processed shipments.
Read the case study →
Assekuranzservice AG
70% faster claims processing. From multi-day intake bottleneck to 90%+ straight-through processing.
Read the case study →
VSB Gruppe
80% time savings on compliance processes across 5 countries and languages for wind and solar operations.
Read the case study →
How is pricing structured?
Fixed-price engagements. Assessment at a flat rate, implementation quoted after assessment. No hourly billing, no open-ended retainers. You know the cost before you commit.
How large is the team?
Deliberately small and senior. Every project is staffed with experienced engineers and consultants. No junior bench, no subcontractors. We scale through vetted partners when project scope demands it.
What industries do you serve?
Insurance, logistics, energy, banking, healthcare, and real estate. We bring benchmarks and domain expertise from completed projects in each sector.
Who owns the intellectual property?
You do. Code, models, training data, documentation. Everything we build on your infrastructure belongs to you from day one. No vendor lock-in, no proprietary runtimes.