Architecting
Intelligence
Production-grade AI systems for enterprise. From computer vision to LLMs, we build the infrastructure that powers the future.
# 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=32) return t.decode(y[0])
Software Stack:
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.
MLOps
Automated training pipelines and scalable Kubernetes deployment.
Secure AI
GDPR-compliant systems with federated learning capabilities.
Cloud Architecture
Multi-cloud and hybrid deployments with infrastructure as code.
Data Engineering
Real-time pipelines and warehouse optimization.
AI Strategy
Roadmapping 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.
Flagship Product
Automated web deployment powered by AI
Websites in 24h
Professional websites deployed in 24 hours — fully automated, AI-assisted, with integrated hosting, SSL, and domain.
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