Build AI Agents That Actually Understand Your Data

Basic retrieval isn't enough. Your agents need structured metadata, precise filtering, and intelligent context engineering to complete complex tasks. Ship agentic workflows in days, not months.

Context Engineering Pipelines

End-to-End AI Data Infrastructure

Stop stitching together disparate tools. Vectorize context engineering pipelines handle document ingestion, processing, vectorization, and retrieval, all optimized for how AI agents actually work.

Complete SDLC for AI.
From ingestion to evaluation, manage your entire context engineering lifecycle in one platform. No more juggling multiple tools or building custom infrastructure.
Iterative refinement.
Test, tune, and optimize your pipelines with built-in evaluation tools. See exactly how changes impact retrieval accuracy before deploying.
Production-ready APIs.
Deploy with confidence using battle-tested retrieval endpoints. Automatic query rewriting, re-ranking, and metadata filtering built in.

Vectorize Iris

Turn Complex Documents Into Structured Knowledge

Multi-column layouts. Embedded tables. Confusing formatting. Iris cuts through it all to produce structured Markdown with precision, and it's available inside every context engineering pipeline.

Complex document intelligence

Product manuals, research reports, technical docs. Vectorize Iris handles dense layouts, embedded diagrams, and multi-column text.

Smart chunking for agents

Preserve semantic structure. Keep related content grouped so agents get full context, not fragments.

Schema-based extraction

Extract structured metadata using your own schema. Enable agents to filter, reason, and retrieve with precision.

Fine-tuned for retrieval

Optimize chunking and metadata for how your agents actually retrieve. Build with real usage in mind, not guesses.

Deep Research

Your data tells a story.
Now you can hear it.

Context engineering-as-a-service has deep research on private data built right in. This transforms your entire knowledge base into comprehensive intelligence reports in minutes. Uncovering insights that would take analysts weeks to find.

$deep_research.analyze("Q4 market performance vs competitors")
Analyzing 847 internal documents...
Cross-referencing with market data...
Identifying key patterns and insights...
Generating comprehensive report...

Report ready in 2 minutes 34 seconds

📊 Executive Summary

📈 Market Position Analysis

🎯 Competitive Landscape

💡 Strategic Recommendations

Template-Driven

Create custom report structures that ensure consistency across all your research. From sales reports to competitive analysis.

Workflow Ready

Integrate with n8n to trigger reports on schedules, distribute to stakeholders, and incorporate into your business processes.

Hybrid Intelligence

Combine your private data with web research for complete context. All while keeping your confidential information secure.

Bring structure to your unstructured data.

Context engineering only works if your data is retrieval-ready. Vectorize gives you the tools to extract structure, preserve context, and build reliable pipelines. Without the complexity.