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 millions of files spread across many systems, where AI alone is not enough. We index every word first, so the model only ever sees curated, relevant content.
Models are not the bottleneck. Data is.
The systems that store enterprise data were not designed for how data needs to be used today. You search with CTRL+F until you finally find the file. Great. Now what? How do you actually use it to deliver the work?
That is the gap Octosight closes.
Find what matters in everything. Then act with confidence.
The Ctrl+F treadmill.
- 01Find.
Hit Ctrl+F in laptop, Outlook, SharePoint, Drive, Slack, Box. Retype every search.
- 02Stage.
Drag copies of the good ones into a folder. Upload to ChatGPT or Claude. A second copy of regulated content now lives outside its governance perimeter.
- 03Re-do.
Files change. Output references files you cannot easily find again. Possible at ten files. Not possible at ten thousand.
Actionable Discovery.
- 01Ask once.
A natural-language question becomes a forensic search across keyword, topic, and pattern. Runs across every connected source.
- 02Curate.
Ranked, deduplicated results with provenance. Tag what is in scope.
- 03Analyze in place.
Non-AI retrieval and AI analysis, paired in one platform. The model only sees the curated set, which is how AI works at its best. Nothing moves. Nothing leaves governance.
- 04Act with the source attached.
Every claim knows its file. Move, consolidate, delete, escalate under audit.
AI without context is guessing. Our forensic index makes it grounded. Our actions make it useful.
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, investigations, regulatory response, and audit 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.
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, or fetched by a search that hands off to a model. Either way, the model sees pieces. The link to the source fades.
A fresh cup of higher quality for every question.
Every word of every file indexed first, with no tokens spent. Each question pulls the right content. Every result ties back to the source file. Defensible. Repeatable.
Pre-chunk at upload. The model sees pieces. No link back to the source. No governance perimeter.
Finds the file. Then hands it off to a model that has no idea where it came from. The chain of custody breaks the moment work begins.
Index every word first, with no tokens spent. Curate before any model runs. The source stays attached, from search to action.
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. One platform across the workflow. Better with every model release.
Today’s AI makes more possible than ever. Standing up a single function is now within reach for many teams. Stringing many functions together into work that holds up across an enterprise – defensible, repeatable, and ready when regulators or counterparties ask – is the harder problem. That is the problem we built infrastructure to solve, so each team does not have to.
In production today. Proven on deals diligence. Tax restructuring. Trial discovery.