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The Operating Context Layer

The industry built the model.The industry built the agent.Nobody built the context.

Orvyn sits between your files and every AI interaction you have — automatically constructing the context your AI needs, so you never have to.

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100 builder spots · Pilot now open
orvyn.ai — anchor
Without Orvyn
Searching Google Drive for MRR data...0:24...
Scanning email threads for investor name...1:47...
Opening Notion for round details...3:12...
Your Prompt (Draft)

"Write a proposal for... TechFlow I think? Budget was around ₹4L... or was it ₹4.5L? Need to check the email first..."

0:00
The Problem

It's not your model. It's your context.

Task
AI Agents automated this
Context
Result
Models optimised this
Before you could write one email to an investor, here's what actually happened today...
  • 0:00Opened ChatGPT. Started typing the email.
  • 0:18Needed the MRR number. Switched to Google Drive.
  • 1:04Found last month's spreadsheet. Wrong one. Keep searching.
  • 2:31Right one found. Back to ChatGPT. Lost your tab.
  • 2:45Needed investor name + fund. Opened notes app.
  • 3:52Found the meeting notes. Copied the relevant bit.
  • 4:30Back to ChatGPT. Realised you forgot the round size.
  • 5:41Found the cap table. Got the number. Back to ChatGPT.
  • 6:15Finally wrote the actual email.

6 minutes.  5 tabs.  1 email.

Every.  Single.  Time.

With the Anchor:  0.9 seconds.  0 tabs.  Same email.

The Tab Tax

The average knowledge worker switches between 9 apps to complete one task. For AI-native builders, every prompt is a scavenger hunt before the actual work even starts.

The Rebuild Tax

ChatGPT has no memory. Claude starts fresh. Every new session means rebuilding the same context from scratch — your company, your metrics, your decisions — again and again.

The Drift Tax

The context you manually assemble is stale the moment you write it. Last month’s MRR. An old contract. A hire who already started. Your AI reasons over data that expired weeks ago.

The Mechanic

Documents go in. Context flows out.

Two components. One system. Zero manual context construction.

STEP 01

Build Your Dataroom

Drop your files into the OCL — PDFs, docs, spreadsheets, images. Everything is processed locally on your machine. Your data never leaves. Orvyn maps entities, relationships, and structure into a live context system that grows smarter over time.

Local ProcessingPrivacy-FirstAuto-Classification
STEP 02

Connect the Anchor

STEP 03

Type Tasks, Not Prompts

orvyn.ai — ingest
pitch_deck_v9_FINAL.pdfregistered
april_mrr_breakdown.xlsxregistered
techflow_proposal_v2.docxregistered
hiring_brief_founding_eng.pdfregistered
client_contracts/processing...
board_updates_q1/processing...
Building context foundation74%
📁Fundraising
📁Client Work
📁Team & Hiring
📁Product
📁Finance
47 files · 0 manual organisation · processed on-device
The Anchor — Live Demo

Type a task. Get a perfect prompt.

Watch the Anchor pull the right context from your OCL in real time. No files manually pasted. No tabs opened. Just the result.

Your Task

Enhanced Prompt

Enhanced prompt will appear here after you hit Enhance...

This is what happens on every task. Automatically. Every time.

WHY ORVYN

Most AI tools process your request.Orvyn prepares your context.

Hover any row to see the exact transformation Orvyn makes.

Without Orvyn
🗂You manually hunt through files before every AI task
🔄Context is rebuilt from scratch in every new chat session
🤖Your AI gets incomplete context and produces bad outputs
Sensitive data goes to cloud services for processing
🚪Knowledge disappears when team members leave
More files = more friction, not more intelligence
With Orvyn
The Anchor pulls precise context automatically, every time
Your context system persists and grows — session to session
AI gets structured, complete context — better outputs every time
All processing is local — your data never leaves your machine
Organisational knowledge compounds and becomes more valuable
More files = richer context, smarter outputs, better results
↑ Hover any row to see the transformation

Stop storing documents. Start understanding them.

See how Orvyn turns scattered files into AI-ready context in three steps.

INTEGRATIONS

Your files are already there. Orvyn connects the context.

The OCL ingests from any source — local folders, cloud drives, or direct uploads. No migration. No restructuring. Drop it in and it's immediately part of your context system.

Google DriveSyncs documents and shared drives automatically
SlackIndexes channels, threads, and shared files
GmailExtracts knowledge from email threads and attachments
NotionPulls pages, databases, and workspace docs
DropboxConnects file storage and shared folders
Orvyn OCLProcessing your context locally, in real time
Microsoft SharePointIngests enterprise document libraries
ConfluenceSyncs wiki pages and team knowledge bases
AirtableStructures bases and linked records
CartaConnects cap table and equity documents
PDF DocumentsParses and indexes uploaded PDF files
100 BUILDER SPOTS — PILOT OPEN

Build with context that follows you.

We're onboarding 100 AI-native builders in our first pilot cohort. You should apply if you spend more time finding context than doing the actual work.

Full OCL app + Anchor extension
Local processing — your data stays yours
Direct line to the founding team

Takes 60 seconds. No pitch deck needed.

Joined by builders working on agents, automation, research tools, and AI-native products.