The models are ready.
Enterprise data isn’t.
Storage systems were built for storage. Not for finding what’s inside. Not for using files to make decisions. And not for letting AI tap in.
Octosight is regulatory-grade AI for enterprise files. Every word indexed. Every result defensible, every action repeatable. Built for the highest-stakes work. Ready for everyday teams.
Models are not the bottleneck. Data is.
Most AI accelerated search tools only sample and guess.
We read every word of every file.
Models only get what matters.
Adding files to an AI model is like pouring coffee into a cup.
The cup is what the model can hold at one time. There are three ways to pour.
Pour the whole pot.
You hand the model every file at once. The cup holds what fits.
Pour once. Before the question.
File content gets chopped into chunks at upload. The model sees those chunks for every question.
A fresh cup of higher quality for every question.
Every word of every file indexed. Each question pulls the right content. Every result ties back to the source file. Defensible. Repeatable.
For teams who need to find information, and then do something with what they find.
Three ways teams use the platform. Each one paired with how AI accelerates the work.
Find anything. Across every file.
From one screen, find the files you know you have. Use what’s inside to deliver higher quality work, faster. CTRL+F is not welcome.
Unlocks forensic-grade precision with natural language search. Finds patterns and flags discrepancies.
Structured work, start to finish.
Deals, breach, regulatory, and legal work with timelines, budgets, and a right answer. Mistakes here aren’t just annoying. They’re reportable.
Identifies sensitive personal, health, and payment data. Completes reports like diligence questionnaires and risk assessments.
Preserve, separate, or delete.
Targeted remediation when consistent action has to land on matching content across the enterprise. Like getting the right files to the buyer and seller in an M&A deal. Immutable audit trail of every action, ready when regulators and counterparties ask.
Trains machine learning faster by watching what tags are applied to what files. Confirms and corrects remediation patterns in near real-time across hundreds of millions of files.
Ten years on this exact work, together. Same team, across prior firms, with decades of combined career experience behind it.
Now built once. The data layer between every file and every model. Ready on Day 1. Better with every model release.
In production today. Proven on deals diligence. Tax restructuring. Trial discovery.