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// Machine Intelligence

AI Built for
Production. Not Demos.

ZS Den engineers purpose-built intelligent systems — document processing, demand forecasting, semantic search, and end-to-end workflow automation. Real AI backed by evaluation suites, production monitoring, and measurable accuracy.

GPT-4o / Claude 3.5LangChainRAG Pinecone / pgvectorPythonFastAPI LangSmith EvalsFine-tuning
50+AI Systems Live
96%Avg Accuracy
2wkPrototype Timeline
24/7Monitoring
AI Services

Purpose-Built Intelligent Systems

We don't bolt ChatGPT onto your app. We engineer AI with measurable accuracy, drift monitoring, and evals that catch regressions before your users do.

🤖LLM

Custom AI Assistants

Context-aware AI on your data with RAG — support bots, internal knowledge bases, sales copilots. Accurate, hallucination-resistant by design.

📄Document AI

Intelligent Doc Processing

Automated extraction of invoices, contracts, and POs — replacing manual data entry with auditable, reliable AI pipelines at any volume.

📊Predictive

Forecasting & Prediction

Demand forecasting, churn prediction, anomaly detection — ML models trained on your data and deployed to production, not notebooks.

Automation

Workflow Automation

End-to-end business process automation — multi-step approval flows to complex cross-system orchestration. Cut hours of manual work weekly.

🔍Search

Semantic Search

Vector search across product catalogs and knowledge bases — results that match what users mean, not just what they type.

🎯Personalisation

AI Personalisation

Real-time recommendation engines — the infrastructure that makes every user experience feel individually tailored at scale.

Process

From Idea to Production AI

Shipping AI to production is different from shipping a demo. ZS Den runs a structured process that ensures accuracy, monitoring, and improvability.

01
Scope

Problem Definition

Define exactly what AI should and shouldn't do. Scope creep kills AI projects — clear definition is the most important deliverable of week one.

02
Data

Data Audit & Pipeline

AI is only as good as its data. We assess quality, identify gaps, and build pipelines to keep the model fed with clean, current inputs.

03
Prototype

Working Demo in 2 Weeks

You see the AI's actual behaviour on your real data before we invest in production infrastructure. Fast iteration at the cheapest stage.

04
Evals

Evaluation Suite

Automated evals testing accuracy, edge cases, and regressions before anything ships — so you can measure improvements over time.

05
Deploy

Production + Monitoring

Full observability — latency, cost per call, accuracy drift alerts. You always know how your AI is performing.

zsden-ai — deployment log
$ zsden ai:deploy --env prod --rag on → Indexing knowledge base... ✓ 42,891 chunks embedded → Running eval suite (150 test cases)... ✓ Accuracy: 96.4% ✓ Hallucination: 0.8% ✓ p95 latency: 340ms ✓ Cost / request: $0.0042 → Deploying to production... ✓ API endpoint live ✓ Drift alerts configured $ zsden ai:status ■ All systems operational
// Build AI With ZS Den

Ready to Put AI to Work?

Tell us what you want to automate. We'll tell you how we'd build it and what it would realistically cost.

 Free Consultation
 No Lock-In Contracts
 Response in 24h
 Dedicated Dev