Custom AI.
Built for
production.
We design and build multi-agent systems, RAG pipelines, and production-ready AI platforms. From architecture to deployment in weeks, not months.
Your models. Your infrastructure. Your data.
01 / Our Services
End-to-End AI Engineering
From multi-agent systems and RAG pipelines to model fine-tuning and production infrastructure.
LLM Deployment & Serving
Deploy open-source and commercial LLMs with optimized inference, auto-scaling, and low-latency serving using vLLM, TGI, and Triton.
Multi-Agent AI Systems
Production-grade multi-agent systems with tool use, planning, and autonomous decision-making for complex business workflows.
RAG & Knowledge Systems
Retrieval-augmented generation pipelines with vector databases, semantic search, and document processing grounded in your data.
Model Fine-Tuning
Fine-tune foundation models on proprietary data with LoRA, QLoRA, and RLHF. Quantization and distillation for production performance.
GPU Infrastructure & MLOps
High-performance GPU clusters with NVIDIA A100/H100, Kubernetes orchestration, and end-to-end MLOps pipelines.
AI Safety & Guardrails
Safety guardrails, content filtering, bias detection, model evaluation, and red-teaming frameworks for reliable AI in production.
Our Approach
A proven methodology for building production AI systems
Discovery
Assess your AI use cases, data landscape, and business requirements.
- Use case assessment
- Data audit
- Requirements analysis
Architecture
Design the AI system: model selection, agent orchestration, RAG pipelines.
- Model selection
- Agent design
- Pipeline architecture
Deployment
Deploy with automated testing, evaluation pipelines, and monitoring.
- Infrastructure setup
- Model deployment
- Integration testing
Monitoring
Continuous monitoring of performance, safety metrics, and optimization.
- Performance tracking
- Drift detection
- Cost optimization
02 / Technical Expertise
Full-Stack AI Engineering
Deep expertise across the entire AI stack, from model training to production operations.
LLM Deployment & Serving
Production deployment with vLLM, TGI, and Triton for optimized inference, auto-scaling, and low-latency serving.
Agentic AI Architecture
Multi-agent systems with tool use, planning loops, memory, and autonomous task execution for complex workflows.
RAG & Vector Search
RAG pipelines with Qdrant, Weaviate, pgvector, semantic chunking, and hybrid search for grounded AI responses.
AI Safety & Guardrails
Output filtering, prompt injection defense, bias detection, toxicity screening, and red-teaming frameworks.
Model Fine-Tuning
LoRA, QLoRA, and RLHF on proprietary data. Quantization and distillation for optimal inference performance.
GPU Infrastructure
NVIDIA A100/H100 clusters with Kubernetes orchestration, auto-scaling, and cost-optimized scheduling.
Model Evaluation
Comprehensive evaluation frameworks, A/B testing, drift detection, and real-time monitoring of quality and safety metrics.
Prompt Engineering
Systematic prompt design, chain-of-thought optimization, and automated evaluation pipelines for consistent outputs.
Data Sovereignty
Flexible deployment with data residency controls, regulatory compliance support, and governance frameworks.
Designed for the real world
Production is
in the details.
Models, agents, knowledge, and safety. Every layer works together, with infrastructure you can understand and control.
apiVersion: cloudpush.ai/v1
kind: AIDeployment
metadata:
name: genai-platform-deployment
spec:
models:
- name: llm-service
type: text-generation
framework: vllm
gpu: nvidia-h100
replicas: 3
autoscaling:
minReplicas: 2
maxReplicas: 8
targetLatency: 200ms
agents:
- name: research-agent
model: llm-service
tools: [web-search, document-retrieval, code-exec]
guardrails: [content-filter, pii-redaction]
rag:
vectorStore: qdrant
embeddingModel: embedding-service
chunkingStrategy: semantic
hybridSearch: true
safety:
guardrails: enabled
contentFiltering: strict
biasDetection: continuous
operations:
dataResidency: configurable
encryption: aes-256-gcm
monitoring: prometheus03 / Benefits
Why Build AI with Cloudpush
Ship AI products faster with expert engineering, production-ready architecture, and built-in safety.
Tailored AI Architecture
Custom-built for your specific use case — from multi-agent orchestration and RAG pipelines to fine-tuned models and bespoke workflows.
Custom-BuiltSafe AI at Scale
Ship AI products with confidence using built-in safety guardrails, content filtering, bias detection, and continuous monitoring.
Production-GradeOptimized Performance
GPU infrastructure optimized for low-latency inference with auto-scaling, quantization, and cost-efficient scheduling.
Up to 60% SavingsData Sovereignty
Flexible deployment with data residency controls — on-premise, preferred cloud region, or sovereign infrastructure.
Your Data, Your RulesDIY vs. Cloudpush
See how we compare to building AI in-house.
| Capability | DIY | Cloudpush |
|---|---|---|
| Multi-Agent Architecture | Complex, hard to get right | Battle-tested agent frameworks |
| Safety Guardrails | Manual implementation | Pre-built, production-tested |
| GPU Infrastructure Cost | €25K - €40K / month | €10K - €18K / month |
| Time to Production | 3-6 months | 2-6 weeks |
| Data Sovereignty | Depends on provider | Flexible residency options |
| Model Evaluation | Ad-hoc, inconsistent | Automated eval pipelines |
04 / Case Studies
AI Solutions in Production
Real-world examples of custom AI solutions deployed with Cloudpush.
Multi-Agent Fraud Detection
Custom multi-agent AI system for real-time fraud detection with specialized models for transaction analysis, pattern recognition, and risk scoring.
Fraud detection accuracy improved by 47%
Fine-Tuned Content Platform
AI-powered content generation platform using fine-tuned LLMs with safety guardrails and content filtering for brand-safe outputs.
Content throughput increased 5x
RAG Medical AI Assistant
RAG-powered medical AI assistant for clinical decision support with semantic search over medical literature and strict data sovereignty.
Clinical accuracy at 94% on benchmarks
Agentic Predictive Maintenance
Multi-agent AI for predictive maintenance and quality control with specialized agents for sensor data, anomaly detection, and scheduling.
Unplanned downtime reduced by 62%
05 / Contact Us
Start Your AI Journey
Schedule a consultation to discuss your custom AI solution.
Email Us
Prefer to reach out directly? Send us an email and we'll get back to you as soon as possible.
contact@cloudpush.aiWhat to expect
- Free initial assessment
- No-obligation proposal
- Tailored AI solution roadmap
Schedule a Consultation
During our consultation, we'll discuss:
- Your AI use cases and business goals
- Multi-agent system and RAG architecture
- Model fine-tuning and optimization strategy
- Infrastructure, safety, and deployment planning