Context-Aware Intelligence

PROMPTLESS
AUTONOMY.

Stellr, LLC is revolutionizing AI by creating systems that understand and adapt to user context without constant prompting.

Explore Orrin
THE PROBLEM

Inefficient Interactions.

Traditional AI relies heavily on explicit prompts and lacks true understanding of user intent and environment. This disconnect leads to friction in daily workflows.

  • Users spend 74%+ of their time crafting prompts instead of achieving actual results.
  • Models forget context across sessions, making continuity impossible.
  • No seamless integration natively into user workflows and hardware.
OUR APPROACH

Standardize, Measure, Trade.

We're fixing the prompt problem with advanced protocols and tools specifically designed for real-world, context-rich applications.

Standardize

Turn AI interactions into standardized, context-aware protocols that work universally across devices and applications.

Measure

Quantify user behavior and intent through our Exegesis protocol to persistently improve model performance over time.

Trade

Enable seamless exchange of context and insights between AI systems and users for true collaborative intelligence.

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ECOSYSTEM

Tools for the
Context-Aware Future.

Flagship
Orrin

Orrin

v1.4.2 • iOS Assistant

Adapts to your needs, delivering intuitive and seamless experiences without the need for constant prompting. Available on iOS.

Info Install
Beta
Yabble

Yabble

v0.0.4 • Browser AI

Desktop AI that sees what you see to perform tasks and provide help seamlessly.

Info
Pre Release
Yabble

NextUp

v0.0.1 • Productivity

Plan, schedule, journal, explore - all in one place.

Info
In Dev
Konekt

Konekt

Unreleased

Omegle-style platform for founders to validate ideas and streamline discovery.

Info
AUDIENCE

Who We Build For.

01

Developers & Engineers

Infrastructure and tools needed to integrate context-aware AI into your own products seamlessly.

02

Enterprises

Scalable AI solutions designed to truly understand deep business context and complex workflows.

03

Individual Users

Intuitive apps that anticipate your needs in daily life without requiring manual prompting or commands.

NEW PROTOCOL

Exegesis:
The Nuance of Behavior.

Exegesis is a new protocol aimed at learning the nuances of human behavior as users perform tasks, search, or interact with Stellr products. It functions as the "Core MCP Point," enabling our systems to learn not just what you do, but how you do it.

Central MCP Core

Acts as the central nervous system for all Stellr apps, unifying context across Orrin, Yabble, and Konekt.

Nuance Detection

Detects subtle patterns in problem-solving to tailor solutions specifically to your cognitive style.

exegesis_core_v1.0
➜ Initializing Exegesis Protocol...
➜ Monitoring user interaction patterns...
[LOG] Detected non-linear workflow. Adjusting memory allocation.
[LOG] Cross-referencing Yabble query with Orrin task list.
➜ Constructing behavioral vector profile_
Capabilities
Problem Solving Fact Checking Auto-Learning Pattern Match

Intent, Not Identity.

Exegesis is designed to map human intent toward a goal without harvesting personal data. The protocol analyzes the "how"—the methodology, tool usage, and problem-solving path you take—rather than the "who."

Core Infrastructure.

Acting as the "Brain" of our Model Context Protocol (MCP), Exegesis unifies disjointed actions into a coherent stream of consciousness. Allowing forthcoming models to function with high-level autonomy.

Context-Dependent Performance.

By relying on Exegesis, our models perform strictly based on contextual inferences. This eliminates the need for prompt engineering. The system understands your current state and executes workflows.

Adaptive Training Environments.

The protocol is scalable by design. It enables custom training that allows models to function effectively in diverse environments—whether deployed in collaborative groups or in high-security isolation.

MISSION

Redefining AI as
Context-Aware.

We build for resilience, adaptability, and long-term human-AI symbiosis. We aim to build models that anticipate and adapt to human needs in real time, moving beyond the static nature of chat.

Inference

Inference-based AI

Chatbots can go away. One seamless AI experience can emerge where actions are performed based on subtle cues rather than explicit commands.

Hardware

Hardware Integration

AI shouldn't just be an app. We research Machine Only Memory (MOM) for efficient experiences embedded in hardware.

Humanity

Transparency & Care

Every solution we release adheres to the betterment of humanity to ensure we are equipped to expand beyond the stars.

ARCHITECTURE/RESEARCH

Bridging Digital Context &
Physical Reality

We are moving beyond static LLMs. Our architecture fuses neuro-symbolic reasoning with embodied perception, creating systems that understand cause, effect, and physical space.

Neuro-Symbolic Core

Combining the flexibility of deep learning with the reliability of symbolic logic. Ensuring adherence to logical constraints and factual ground truths.

Logic • Reliability

Episodic Vector Memory

Implementing infinite-context retrieval systems. Maintaining a persistent state of user interactions to recall preferences from months ago.

Long-term Recall • RAG

Causal Inference Engine

Moving beyond correlation. Analyzing counterfactuals to understand *why* an event occurred, enabling proactive suggestions.

Prediction • Reasoning
COMMUNITY

Validation from
Early Adopters.

Beta Tester

"Even though it's still early stage, and really only helps with writing, I have saved hours on note taking and writing essays. Can't wait to see where Orrin ends up!"

C
Mycah W.
User via Orrin

"Stellr is still early stage, but the products and services it provided really does strengthen its claims of mitigating chatbot dependence... Amazing products, amazing vision."

T
Trevor D.
User via Orrin & Yabble
INQUIRIES

FAQs