Agentic AI from Bocholt

AI platforms with measurable business impact

Q: Which AI models do you recommend for regulated industries?

We mix commercial APIs with open-source models depending on compliance needs. For banking or public-sector workloads we deploy Llama or Mistral models on EU infrastructure, while marketing or customer service often benefits from GPT-5, Claude 4.5 or Gemini 2.5.

Q: Do you fine-tune models on-premise?

Yes. Our GPU clusters in NRW allow secure fine-tuning, RAG indexing and evaluation runs without leaving German jurisdiction. We can also integrate with your private cloud when preferred.

Q: How do you measure ROI?

Each agent or copilot launches with baseline KPIs, telemetry and human-in-the-loop review. Savings in hours, reduced error rates or increased revenue are tracked from sprint one and reported in executive dashboards.

Q: Can you train our employees to maintain the solution?

We deliver paired-programming sessions, playbooks and workshops so internal teams can own prompts, flows and infrastructure after handover.

Q: Do you help with funding applications?

Absolutely. Together with our consulting unit we explore NRW and federal innovation programmes, draft the technical appendix and provide the required documentation.

We design, build and operate autonomous AI agents, LLM copilots and data services that respect German compliance requirements while delivering tangible ROI for teams in Bocholt, Münsterland and across NRW.

GDPR by default

Data stays on German or EU infrastructure with encrypted pipelines and auditing.

Agent orchestration

Composable LangChain, Autogen and n8n stacks automate cross-team workflows.

Private GPU capacity

Dedicated H200/B200 nodes in NRW for fine-tuning, RAG and evaluation runs.

Regional expertise

Manufacturing, retail and agency projects from Bocholt, Borken, Rhede and Isselburg.

Plan AI consultation Direct access to senior engineers in Bocholt, NRW

30+

AI releases / year

Agent workflows shipped for NRW manufacturers, agencies and SaaS teams.

<10d

Kick-off time

Discovery, data assessment and security review within ten business days.

95%

Automation rate

Average manual work reduction across content, support and operations cases.

100%

Audit ready

Traceability and logging aligned with German compliance expectations.

Content Generation

Create high-quality content automatically with AI

Website and marketing content
Social media posts and campaigns
Product descriptions and catalogs
Multilingual content adaptation

Agentic Process Automation

Streamline workflows with autonomous AI agents and intelligent automation

Autonomous AI agents for complex task execution
Multi-agent collaboration for enterprise workflows
Email processing with context-aware responses
Document analysis, extraction, and intelligent routing
Customer service automation with reasoning capabilities
End-to-end workflow optimization and orchestration

Data Analysis

Extract valuable insights from your data

Predictive analytics
Customer behavior analysis
Market trend forecasting
Performance optimization

Cloud Integration

Seamless integration with cloud services

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AWS

Azure

GCP

Lambda

Implementation journey

From idea to resilient AI operations

Every project combines strategic guidance with hands-on engineering so your team gains working software, not just presentations.

Opportunity mapping

We analyse data sources, processes and KPIs to identify automation wins with realistic ROI.

Prototyping

Rapid proofs-of-concept validate prompts, tools and integrations with real business data.

Production agents

We harden the stack with guardrails, testing, monitoring and secure infrastructure.

Continuous optimisation

Fine-tuning, evaluation suites and business reviews keep AI outcomes aligned with stakeholders.

Reasoning & LLMs

Models

Hybrid setups with proprietary APIs (GPT-5, Claude 4.5, Gemini 2.5) and open models such as Llama 3.2, Mixtral or DeepSeek for sensitive workloads.

GPT-5 / o1 Claude Sonnet 4.5 Gemini 2.5 Pro Llama 3.2 Mistral Large

Agents & automation

Orchestration

CrewAI, LangChain, Autogen and custom TypeScript runtimes coordinate multi-step procedures with calendar, ERP or ticketing integrations.

CrewAI LangChain Autogen n8n Make.com extensions

Data & retrieval

Knowledge

Secure pipelines feed your AI agents with structured data, embeddings and analytics dashboards aligned with German data residency laws.

PostgreSQL Pinecone Weaviate OpenSearch Qdrant

Observability & ops

Operations

Automated evaluations, tracing and incident response keep AI features stable even under heavy load.

LangSmith Weights & Biases Grafana Sentry Datadog

Business impact

Why NRW organisations partner with us

AI is only valuable when it improves throughput, accuracy or experience. Our Bocholt team measures every release against those metrics.

Faster delivery

Reusable components and GPU capacity in NRW shorten release cycles without compromising compliance.

Embedded collaboration

Product, data and operations stakeholders are involved in every sprint to align AI behaviour with reality.

Risk managed

Guardrails, auditing and legal reviews ensure AI adoption remains trustworthy for customers and regulators.

Rooted in Münsterland

Local proximity, international quality

We combine the speed of an on-site Bocholt team with the tooling depth of a global AI studio so NRW companies get the best of both worlds.

Workshops, audits and trainings directly at your office in Bocholt, Borken, Rhede, Isselburg or Wesel.
Partnership network with chambers of commerce, local universities and NRW funding programmes.
German contracts, German-speaking engineers and support teams who understand regional decision cycles.

Cities we serve

Bocholt Borken Rhede Isselburg Wesel Münster NRW

FAQ

AI project questions answered

Transparent answers for decision makers evaluating AI initiatives in Bocholt, NRW and throughout Germany.

Which AI models do you recommend for regulated industries?

We mix commercial APIs with open-source models depending on compliance needs. For banking or public-sector workloads we deploy Llama or Mistral models on EU infrastructure, while marketing or customer service often benefits from GPT-5, Claude 4.5 or Gemini 2.5.

Do you fine-tune models on-premise?