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Partner with Experts to Rapidly Enhance Your KPIs

Closed & Open Source LLMs

Prompt Engineering In Production - The Structured Approach

Prompt Engineering In Production - The Structured Approach
Cloud Computing

What is Model Serving Exactly? - An Example With Amazon Web Services (AWS)

Why Model Serving? Model Serving is an important step in the machine learning lifecycle when creating an AI application. It involves taking the model that's been trained with a dataset and making it accessible for prediction or inference requests.

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Our goal is to move the needle within your business using transformative AI solutions while creating as little friction as possible for you.
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E-Learning Platforms
Cloud Computing
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Customer Relations
Privacy & Security
Kubernetes & OpenShift
Closed & Open Source LLMs
Case Studies

Our Domain Expertise

Big Data Applications
Got the plug? We plan, enhance and turn vast amounts of data collection into long-term cutting-edge insight machines for leadership and stakeholders.
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AI Chatbots
Got a user base? We ideate and integrate versatile, GDPR-compliant chatbots, optimized for KPI, user intent, privacy and performance.
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AI PoCs & Protoypes
Got a hunch? We guide you through analyzing project feasibility and chart the path from concept to successful AI implementation.
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Kubernetes & OpenShift
Sky is the limit? We navigate you through the complexities of container orchestration, assess infrastructure scalability, and blueprint the transition from monolithic to microservices architecture.
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AI SaaS MVPs
‍Got the product moat? We develop and launch your MVP in less than two weeks. This means you can introduce your product to market faster, facilitate early user feedback and we pivot your strategies as needed.
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