Stellr
Stellr
The future is agentic.
This requires context-aware architecture to mature.
SaaS solutions realistically exhibit limited actions, leading to repetitive data. True awareness isn't about hoarding dense information—it's the ability to recognize and compress repetition.
Inversely, contextual data can autonomously drive actions. By compressing repetitive data, we enable models to draw feasible connections between the subtle cues of your environment and the exact action needed next.
Traditional AI relies entirely on explicit prompts, lacking intrinsic understanding of a user's environment. This creates severe friction in daily workflows.
We are engineering out the prompt. By deploying protocols designed for real-world application, context becomes the command.
Turn AI interactions into unified, context-aware protocols that work universally across apps.
Quantify user behavior and intent through our Exegesis protocol to persistently improve performance.
Enable the seamless exchange of insights between AI systems and users for collaborative intelligence.
Flagship
Adapts to your needs, delivering intuitive experiences without constant prompting. Exclusively on iOS.
Beta
Desktop intelligence that sees what you see to perform tasks and provide help seamlessly.
Pre-Release
Plan, schedule, journal, and explore everything regarding your workflow in one place.
"Context awareness isn't magic. It's accurate compression of dense data and the ability to fine-tune a model to specific behaviors. The magic is derived from the relationships made between the data and the action."
Exegesis functions as our Core MCP Point. It learns not just what you do, but exactly how you approach it—capturing the nuance of human interaction to tailor outputs.
The central nervous system for all Stellr apps, unifying memory.
Detects subtle patterns to adapt to your specific cognitive style.
Integrate Stellr's context intelligence directly into your stack. Exegesis CE empowers developers to create tools where autonomous workflows emerge naturally. Bind your functions, feed the context, and let the model take the wheel.
Exegesis Engine
Context Parsed & Analyzed
Tools Invoked
schedule_meeting
Action Executed
Meeting Scheduled & Sent
We build for resilience and long-term symbiosis. We aim to construct models that adapt to human needs silently in real-time, moving entirely past the static nature of prompt-and-response.
Chatbots limit potential. A truly seamless experience emerges when actions are triggered by subtle environmental cues rather than rigid, manual commands.
AI shouldn't be confined to browser tabs. We research integrated memory structures for fluid experiences deeply embedded in the hardware you already use.
