Find what you need.
Then do something with it.
Octosight helps teams find files across the enterprise and use AI to do something with what they find. Built for companies with a lot of files and a lot of systems, where AI is hard to use without a layer underneath.
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.
You found a file.
Did you find the right one?
Most AI search samples and guesses. Octosight reads every file and returns every match.
Describe what you’re looking for in plain English. The platform translates it into the kind of structured search that has always required forensic-grade expertise – keyword, topic, and pattern-based – and runs it across every word of every file. AI then works the complete result, not the slice that fit in a context window.
The version you didn’t know existed. The dissent buried in an attachment. The contradiction in a redacted draft. The answers your team needs, including the parts you didn’t know to ask for.
From the search bar to the audit trail.
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 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.