Enterprise AI

Architecting
Intelligence

Production-grade AI systems for enterprise. From computer vision to LLMs, we build the infrastructure that powers the future.

By Lukas Friedrich, MSc. · CEO & Full-Stack Developer · 10+ yrs

model.py

# AI pipeline
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

def run_ai(prompt, m="gpt2"):
    d="cuda" if torch.cuda.is_available() else "cpu"
    t=AutoTokenizer.from_pretrained(m)
    a=AutoModelForCausalLM.from_pretrained(m).to(d)
    x=t(prompt,return_tensors="pt").to(d)
    y=a.generate(**x,max_new_tokens=1024)
    return t.decode(y[0])

Software Stack:

PythonPyTorchPyTorch LightningNumPyPandas TensorFlowJAXFlaxHugging FaceTransformers DiffusersOpenAI APIOpenRoutervLLMTriton ONNXCUDALangChainLlamaIndexFAISS PineconeWeaviateChromaDBDeepSpeedFSDP AccelerateHorovodRay TrainMLflowWeights & Biases DVCClearMLJupyterVS CodeLinuxDockerGitHub PythonPyTorchPyTorch LightningNumPyPandas TensorFlowJAXFlaxHugging FaceTransformers DiffusersOpenAI APIOpenRoutervLLMTriton ONNXCUDALangChainLlamaIndexFAISS PineconeWeaviateChromaDBDeepSpeedFSDP AccelerateHorovodRay TrainMLflowWeights & Biases DVCClearMLJupyterVS CodeLinuxDockerGitHub

Core Capabilities

End-to-end AI development and deployment

🧠

Deep Learning

Custom neural architectures for computer vision, NLP, and predictive analytics. Production-grade PyTorch and TensorFlow implementations with MLOps integration.

PyTorchTensorFlowCUDAONNX

💬

Large Language Models

Fine-tuning, RAG pipelines, and production LLM deployments.

🌐

Web Apps

Full-stack applications with AI at the core.

⚡

MLOps

Automated training pipelines and scalable Kubernetes deployment.

KubernetesDockerFastAPIRedis

🔒

Secure AI

GDPR-compliant systems with federated learning capabilities.

🎯

AI Consulting

Strategic AI roadmapping, architecture reviews, and technical due diligence.

How We Work

From concept to production in weeks, not years

Discovery

Deep dive into your business logic, data landscape, and success metrics.

Architecture

Design scalable systems with the right mix of cloud, edge, and on-premise.

Development

Agile sprints with continuous integration and model versioning.

Deployment

Production release with monitoring, A/B testing, and auto-scaling.

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