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Artificial Intelligence Solutions

Our AI solutions combine data science, machine learning, and generative AI to deliver measurable business value. We develop intelligent models that detect patterns, forecast developments, and automatically optimize processes. This enables you to turn data into actionable insights — creating a genuine competitive advantage through intelligent automation and predictive power.

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The AI maturity journey to an intelligent organization

Artificial intelligence only unlocks its full value when it is strategically embedded, technically integrated, and culturally adopted.

Our AI maturity journey outlines the path from initial pilot projects to a fully AI-driven organization — practical, measurable, and scalable.

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Stage 4 – Transformative:

Artificial intelligence is deeply embedded in the company’s strategy, culture, and decision-making.

SUSTAINABLE MATURITY PATH

Stage 3 – Integrated:

AI models are integrated into core business processes — such as forecasting, pricing, customer insights, or process automation.

Stage 2 – Structured:

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Establishing foundations and processes. Central data platforms consolidate information, and initial automation begins

Stage 1 – Experimental:

Companies test initial AI use cases — typically in isolated pilot projects or proofs of concept
Data is often fragmented, use cases are not yet clearly prioritized, and success depends heavily on individuals..
Focus: understanding, experimentation, and awareness building.

  • Predictive analytics for better business decisions

    • Time series modeling

    • Predictive modeling with scikit-learn, TensorFlow, or PyTorch

    • Feature engineering and automated forecasting pipelines

    • Scenario simulation and what-if analyses

    • Cloud-based ML workflows (Azure ML, AWS SageMaker, Databricks)

  • Creation and optimization of intelligent systems using generative models and ML

    • Large Language Models (OpenAI GPT, Claude, Gemini)

    • Transformer architectures (BERT, T5, diffusion models)

    • Reinforcement learning and fine-tuning (LoRA, RLHF)

    • MLOps pipelines for scaling and operations (MLflow, Kubeflow)

    • Vector databases and retrieval-augmented generation (RAG)

  • Optimization of business processes through intelligent automation.

    • Intelligent Document Processing (IDP)

    • Robotic Process Automation (UiPath, Automation Anywhere)

    • AI agents for workflow orchestration (LangGraph, CrewAI)

    • Integration into ERP/CRM systems (e.g. SAP, Salesforce)

  • From idea to prototype — validating real value creation through AI

    • Design thinking & AI opportunity mapping

    • Model evaluation & performance benchmarking

    • Rapid prototyping with low-code/no-code AI tools

    • Model evaluation & performance benchmarkingCost-benefit and ROI analysesAgile MVP-Entwicklung und Pilot-Deployments

  • Development of sustainable and scalable AI ecosystems

    • AI maturity assessment and roadmap development

    • Enterprise AI architecture (data, models, integration)

    • Governance & compliance (GDPR, ISO/IEC 42001)

    • Responsible AI (ethics, bias, transparency, explainability)

    • Governance & Compliance (GDPR, ISO/IEC 42001)

    • Cloud & hybrid architectures (Azure, AWS, GCP)

CORE CAPABILITIES

Our Expertise & Technology Stack

We combine cutting-edge technologies, proven methodologies, and deep expertise to build reliable, scalable, and high-impact data solutions. We intentionally apply the right tools to maximize business value at every stage.

our approach

How we create impact

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Data quality is the foundation of any AI

Good, consistent data determines the success of a model. Early focus on data quality prevents friction and ensures reliable results.

Business involvement is essential

Only through close collaboration between data teams and domain experts can models be created that solve real business problems and build trust.

Quick value over grand target vision

Instead of aiming for a fully comprehensive end-state, a clearly defined MVP with tangible value should be developed. Early results strengthen adoption and provide the foundation for scaling.

Adoption and change management are
key factors

Technical excellence alone is not enough — training, communication, and trust are essential for the long-term adoption of AI solutions.

Use Cases

One central forecasting system for your business metrics. Whether revenue, order intake, costs or predicted returns.

Predictivio provides a central forecasting foundation for revenue, demand, planning and market developments.

Manufacturing & Supply Chain

Plan demand and capacity more accurately

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Reduce inventory and bottlenecks

Detect demand changes earlier

Finance & Controlling

Accelerate budgeting and forecasting

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Detect deviations earlier

Simulate revenue, order intake and sales

Asset Management

Forecast market, industry and economic developments

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Detect relevant external signals earlier

Evaluate opportunities, risks and scenarios based on macroeconomic and market data

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EXECUTION MODEL 

Our roadmap approach

01

Discovery & needs assessment

Understand business objectives, identify relevant use cases, and define expected business value.

02

Data & model strategy

Assess data availability and quality, and select suitable AI models and technologies.

03

Model development & training

Developing, training and validating AI models – with a focus on accuracy, performance and scalability.

04

Integration & architecture design

Integrate models into existing systems and build a scalable, secure infrastructure.

05

Governance, transparency & quality

Define policies for quality, traceability, and responsible AI usage.

06

Deployment & optimization

Implement solutions, empower users, and continuously improve.

Become a frontrunner in the AI era —

Secure your competitive advantage with AI

and schedule a free, no-obligation initial consultation

Inquire now
YOUR NEXT STEP

AI products overview

We support you at every step of your innovation journey.

AI Quick Check

DISCOVERY

Price: free of charge

Kickoff & goal definition for your AI initiatives

Initial assessment of your data landscape, tools, and processes

Identification of quick wins and AI opportunities

Objective: Rapid assessment and actionable recommendations for entering AI-driven business processes.

AI Use Case Assessment

DISCOVERY & ANALYSIS

Price: €5,000

Analysis of existing data sources and system landscapes

Evaluation of potential AI use cases (predictive, generative AI, NLP, process automation)

Development of a prioritized roadmap

Objective: A solid decision-making foundation for the targeted application of AI and to maximize business value.

AI Transformation Delivery

From strategy to solution

Price: on request

Implementation of selected AI use cases including modeling, prototyping, and integration

Implementation of AI into operational processes

Enablement of your teams & establishment of governance structures for sustainable AI adoption

Objective: Sustainable implementation of AI solutions in your company with measurable business impact.

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Discuss your project with our experts.

Choose a time that works for you and speak with one of our experts about your goals, challenges and possible solutions. Alternatively, you can fill out the contact form, and we’ll get back to you shortly.


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