The context layer of AI

Celestral understands context to give human-like instructions to AI agents

Founders have backgrounds from:

Stanford
University of Michigan
Tesla
Electric Hydrogen
Dolby
FEATURES

Human-like intelligence for your AI

Context Capture

Understands the what, where and how of various work tasks from images, meeting conversations and conducted voice interviews to build a shared context layer.

Context Capture Diagram showing how images, meeting conversations, and voice interviews flow into a shared context layer

Autonomous Task Identification

Generates a list of pending actions like reports to be made, follow-up emails to be sent, products and features to be made, or modifications in priorities automatically based on that context.

Autonomous Task Identification diagram showing a clipboard generating a list of pending actions

Cross-Tool Integration

Connects with tools (e.g., Gmail, Notion, Cursor, Vercel) and utilizes the captured context to generate tailored prompts for AI agents to operate autonomously without needing manual prompt engineering.

Cross-Tool Integration diagram showing AI prompt branching to Email, Product Documentation, and AI agents

Adaptive Memory & Learning

Remembers preferences, priorities, work styles, best practices, decision parameters, etc. and continuously improves accuracy over time by creating and updating long-context memory.

Adaptive Memory & Learning diagram showing long-context memory growth over time