AI implementations & development – Own AI solutions for your company
Successful AI implementations go beyond simply training algorithms – they need to be seamlessly integrated into your existing systems, processes and data infrastructures. Since 2017, we have been developing and implementing individual AI solutions that companies can use productively. Whether machine learning, natural language processing or computer vision – we support you from conception to scalable implementation.
Our approach: development, integration & scaling
AI is not a product, but a solution. Our work begins with an in-depth analysis of your requirements and extends to the complete implementation of a productive AI application. In doing so, we rely on an agile process model that enables a step-by-step introduction:
Conception & Proof of Concept (PoC)
- Identification of suitable AI methods and use cases
- Validation of technical feasibility with real company data
- Development of an initial prototype for rapid results evaluation
Development & integration
- Implementation of a scalable model taking into account your existing IT landscape
- API-supported integration into company software and data platforms
- Optimization for performance, security and data protection (e.g. GDPR compliance)
Rollout & scaling
- Gradual introduction and continuous training of AI models with new data
- Implementation of monitoring and optimization mechanisms
- Adaptation to changing business requirements
Technological focus
Our development work covers a broad spectrum of AI technologies and frameworks that are geared towards your specific requirements:
Machine Learning & Deep Learning
- Supervised, Unsupervised & Reinforcement Learning
- Frameworks: TensorFlow, PyTorch, scikit-learn
Natural Language Processing (NLP)
- Processing and analyzing texts and language data
- Named Entity Recognition (NER), text classification, chatbots
Computer Vision
- Image and video analysis for object recognition, pattern recognition, quality assurance
- Use of neural networks (CNNs) for high-precision analyses
Scalable AI architectures
- Deployment using container technologies (Docker, Kubernetes)
- API-controlled connection for cloud-based or hybrid scenarios
- Operation and optimization with AWS AI Services (e.g. SageMaker, Rekognition)
Why Deep Impact?
Practical solutions instead of theoretical concepts
Our AI models are not just proof-of-concept, but optimized for productive use.
Modular & flexible
We adapt our solutions to your existing infrastructure, whether on-premise, in the cloud or hybrid.
Long-term scalability
Our development methods ensure that your AI solution grows with your company’s requirements.
Interdisciplinary expertise
Combination of data science, software engineering and IT architecture for holistic implementations.
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Your next step
AI can decisively optimize your business processes – the challenge lies in sensible implementation and integration. We help you to establish AI in your company in the long term.