Knowledge systems
Enterprise RAG & search
Give teams accurate, cited answers across documents, databases, policies, tickets, and internal knowledge—with access controls intact.
- Private assistants
- Semantic search
- Document intelligence
Applied AI · Data · Automation
We design and build secure AI systems that understand your data, connect to your tools, and improve the workflows your business depends on.
Working with enterprise teams everywhere
Strategy through production
Enterprise RAG
AI agents
MCP integrations
Data pipelines
LLMOps
Governance
AI value rarely comes from a model alone. It comes from pairing the right model with reliable data, thoughtful workflows, secure integrations, and clear measures of quality.
Knowledge systems
Give teams accurate, cited answers across documents, databases, policies, tickets, and internal knowledge—with access controls intact.
Intelligent operations
Connect reasoning to action with agents that coordinate tools, update systems, and handle multi-step work with human oversight.
Connected intelligence
Build secure tool connections that let AI work across enterprise APIs, SaaS platforms, databases, and custom software.
Reliable foundations
Engineer the pipelines, evaluation, monitoring, guardrails, and auditability needed to run AI responsibly in production.
We connect cloud platforms, business applications, data services, and automation tools into solutions that fit your existing technology landscape.
Business applications
Cloud & integration
Data engineering
Also experienced with SAP · Workday · .NET · SQL Server · Power BI · Azure DevOps
We focus on operational moments where better access to knowledge, faster decisions, or intelligent automation produces a measurable result.
Search fragmented enterprise knowledge with citations and permissions.
Extract, classify, compare, summarize, and route complex content.
Coordinate actions across systems while keeping people in control.
Surface patterns, exceptions, forecasts, and the context behind them.
We meet you where you are—from shaping the first use case to strengthening a system already in production.
Align users, workflows, data, risk, and success measures around a focused opportunity.
Build a practical proof of value using representative data and actual user scenarios.
Add secure architecture, integrations, evaluation, observability, and operational controls.
Measure quality, adoption, latency, safety, and cost—then improve what matters.
Start a conversation
Tell us about the workflow, knowledge problem, or AI initiative you’re exploring. We’ll help you find a practical path forward.
info@metadatasys.com ↗Available for focused projects and ongoing partnerships