Snowstone
AI-Driven Value Creation for Private Equity
109 followers
AI-Driven Value Creation for Private Equity
109 followers
Snowstone provides AI-driven operational value creation for private equity. The platform analyzes a portfolio company's own data to determine how the business actually operates, and identifies automation potential, duplicated work, process bottlenecks and key-person risk. Each finding is quantified by its EBITDA impact and traced to its source.
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Hi Product Hunt!
Large companies are extremely complex systems. As soon as a company scales past fifty or so employees, it becomes totally impossible for an executive to know every single thing that happens at a company. This means that, since everyone at a company only understands a small slice of what's going on, it's essentially inevitable that inefficiencies arise on a global level that aren't visible at smaller scales. Before Cerenovus, this was a very difficult problem to tackle, because there was just too much information for any one person to have the whole picture. Cerenovus is built to fix this.
Here's how Cerenovus works:
First, Cerenovus ingests the company's information. This looks differently for every company based on their priorities and existing systems, but typically this means hooking into documents, communications and databases that the company wants to analyze, and bringing all the information together in one place.
Next, Cerenovus runs an AI-powered synthesis pipeline to organize the information and map out all existing systems and workflows. Once the system has mapped out how things work at a company, it scans for a wide variety of common failure modes, and does open-ended analysis to find places where processes can be streamlined. Finally, its findings are compiled into polished, cited briefs, reviewed and validated by humans, and then shipped back to our clients.
We're so excited to show everyone what Cerenovus can do - book a demo today: https://cerenovus.ai
@jonathan_waldorf nice launch congrats🙌what is the single biggest operational workflow you hope to see teams transform using Cerenovus first?
@priya_kushwaha1 Thank you! The operating review.
Today, teams spend days assembling backward-looking reports, and then debate whose version of the truth is right. We want Cerenovus to turn that into a continuous, evidence-backed workflow: spot margin leaks and broken processes early, show the receipts, quantify the impact, and route each issue to an owner before it becomes a board-level surprise.
If we nail that, the operating review stops being a reporting ritual and becomes a decision engine.
@priya_kushwaha1 @jonathan_waldorf Congrats on launching!
@priya_kushwaha1 @better_shaya Thanks so much Shaya!
@jonathan_waldorf cited findings is the part I'd watch closely. Most "AI reads your company data" tools stop at a plausible-sounding answer, and plausible is not the same as trustworthy when someone's about to act on it. Tying every answer back to the actual record is what makes this usable past the demo stage. How do you handle it when the underlying records themselves are outdated or contradict each other, does Cerenovus flag that or just surface the most recent one?
@alex_gidirim Good question! We use an adversarial AI who's job it is to prove every source wrong and every step of reasoning fallacious, and only what survives goes to the user.
@jonathan_waldorf @alex_gidirim We also make sure that the final reports make it incredibly easy to verify, meaning that our human reviewers can go through and double check every claim as well. (within data privacy constraints, of course). This addresses outdated information by allowing us to reliably flag it such, while conflicting information is flagged in the synthesis process.
the adversarial reviewer checking sources is a good answer to the accuracy question, but the part that'd worry me more as a customer is access, not accuracy. to find inefficiencies across a whole company you need to ingest documents, comms and databases pretty broadly, and "where the money is being lost" reports often trace back to a specific team or person underperforming. that's a report with real career consequences for someone, generated from access to their emails and docs that they didn't necessarily know would be read this way. who inside the client company actually sees the finished brief, is it scoped so a manager only gets findings about their own team, or does it land somewhere with company-wide visibility by default?