IN THIS ARTICLE

• What is Indicate Context?
• The Problem with Context
• Our Solution
• What You Can Build
• Who It's For

CONTENTS

Give Your AI Agents Context in Minutes

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This feature is for you if:

• Constant manual context feeding means you're always copying and pasting information into your LLM
• You never get the full overview because context windows limit how much information you can provide at once
• You simply don't have access to your own data scattered across multiple platforms
• Comparing data from different sources requires manual exports and complex spreadsheet gymnastics
• Excel and dashboards can't search for anomalies, make solid predictions, or generate forecasts at the data level
• You dream of having a solid data foundation to run automated processes and combine agents to do tasks for you </aside>

Indicate Context is the brain behind your LLM and AI Agents. We offer a complete context engineering solution that gives your AI agents the knowledge they need to see, reason, and respond with real context.

Whether you're a developer building complex systems or a business user who wants to talk to your data and set up your first AI agent, Indicate Context makes it simple to connect your data sources and get started in minutes.

The Problem: Giving Context to Blind Agents Is Hard

Most AI apps break at data preparation. Without proper context, agents can't deliver accurate, relevant answers. Here's why context engineering is so challenging:

Hard to Connect Sources

Pulling data from your software tools like Facebook, Google, CRM, booking engine or PMS means writing custom scripts and dealing with brittle APIs that break with every update.

Messy Preprocessing

Every document is a different size, format, and structure. Chunking, embeddings, and metadata tagging become a painful manual process that's hard to maintain.

Stale Answers

Manual ingestion pipelines quickly become outdated. Your data becomes stale within days, leading to inaccurate responses and frustrated users.

Security Ignored

Building access control lists and respecting user permissions is non-trivial engineering work. Yet skipping it risks exposing private data across your organization.