1. Executive Summary
AI has an intelligence problem solved faster than a context problem.
Today’s AI models are extraordinarily capable, yet most outputs still fail in real-world workflows because the systems lack personalized context. The missing layer is not better reasoning — it is structured memory.
Orvyn Labs is building the Operating Context Layer (OCL) for AI: an external brain that transforms fragmented personal and professional data into structured, AI-ready context.
The product already works. Orvyn currently exists as:
- A Windows Desktop Application: The OS for personalizing AI services.
- A Browser Assistant (The Anchor): Connects the OS with web-based AI tools, injecting context-rich professional prompts directly into ChatGPT.
Instead of users manually searching through folders, PDFs, emails, and chats, Orvyn continuously structures relationships between information so AI tools can operate with real understanding. Our vision is to become the foundational personalization layer between humans and AI systems.
2. Founder Story: Building for Impact
I started coding at 13 in Delhi. At 16, inspired by the scale of software to influence millions, I pivoted from coding for fun to building for impact.
My journey has been defined by rapid iteration and solving bottlenecks:
- Scale: Built a Telegram multibot platform for 1,000+ households during COVID.
- Academic Rigor: Self-studied to crack IIT-JEE and joined IIT Bombay.
- Infrastructure: Built Greyman AI (an agent marketplace) where I realized the bottleneck wasn't intelligence—it was Structured Information.
- Enterprise Experience: Developed DocRack AI, recognized among India's top 30 hottest startups, working with giants like Aditya Birla Group.
Through these deployments, I discovered a fundamental truth: Files are not the unit of knowledge. Context is.
I have now finished my time at IIT Bombay and am moving to Bangalore to work on Orvyn Labs full-time.
3. The Problem: Memory-Less AI
The tech world has spent billions building smarter AI brains but forgot about the memory.
Every AI task follows a simple journey:
Task + Context = Result
Context accounts for over 90% of any effective prompt, yet it remains the biggest hurdle. Builders waste hours digging through messy folders and emails to find the right data to feed an AI.
4. The Solution: Personalizing AI for Builders
Orvyn is the "External Brain" for builders. We turn scattered data into a structured system that follows you.
What makes Orvyn different?
- Context over Files: We are moving past the era of nested folders. Orvyn understands how people and projects are linked rather than just where a file is stored.
- Relationship Modeling: Orvyn knows who signed which paper and how those decisions connect to your newest project.
- Privacy by Architecture: Most processing happens locally on your computer. Your information stays safe at home.
The Product in Action: Our Windows application connects your data to "The Anchor." It transforms a one-line task command into a personalized, context-rich prompt, ensuring perfect results from services like ChatGPT every time.
5. Why Now?
Three shifts make Orvyn inevitable:
- AI Adoption Explosion: Millions use LLMs daily, but outputs remain shallow without deep context.
- The Rise of Tiny Teams: 1–5 person "AI-native" startups require infrastructure that behaves like organizational memory.
- Privacy Concerns: Users are increasingly hesitant to upload sensitive files to third party AI services without owning the control of their data.
6. Business Model
We operate on a SaaS Subscription model:
- Estimated Pricing: $20 – $80 / month.
- Future Expansions: Team collaboration, Enterprise deployments, Context APIs, and AI-native operating systems.
7. Use of Funds ($10K)
This raise funds a focused **3-months high intensity pilot ** with 100 AI-native builders.
| Category | Allocation |
|---|---|
| Incorporation & Legal | $2,000 |
| Essential AI & Dev Tools | $1,000 |
| Compute & Infrastructure | $3,000 |
| Accomodation, food and travel | $3,000 |
| User Acquisition & Community | $1,000 |
8. Pilot Objectives
- Product: Refine the Operating Context Layer and improve retrieval personalization for public launch.
- GTM: Discover repeatable acquisition channels and validate pricing model.
- Metrics: Track Daily Active Usage (DAU), context retrieval accuracy, and time saved per workflow.
- Community: Embed within the early builder AI ecosystem and the IITB Alumni founder network.
9. Why Back This?
This is a conviction-backed founder round. The ask is small because the goal is accelerating learning velocity, not scaling headcount.
- Proven Execution: Building products since age 16 with enterprise AI experience.
- Live Product: MVP is built, tested, and 12 AI teams are already ready for the pilot.
- Full-Time Commitment: Moving to Bangalore to build the foundation for a significant pre-seed round.
This is the end of the folder era. It’s time for AI to have a memory.
Contact Founder: Yogesh Kumar
Company: Orvyn Labs
Email: yogesh@orvynlabs.io
LinkedIn: linkedin.com/in/profileyogesh
Demo: Product Demo Video