Cerenovus
Proactively find the money your company is losing
What it does
We ingest information from around your company (documents, communications and databases), and map out your company's workflows, along with the bottlenecks and inefficiencies within those workflows. Then, we figure out how to fix the problems (and whether their worth fixing). Then, we give you cited, human-verified reports outlining concrete, actionable steps you can take to see real results.
Cerenovus is an AI software company in San Francisco (YC S26). It reads the records a large enterprise already produces and surfaces the problems and inefficiencies buried in them, with every finding cited to its source.
Cerenovus is your AI operating partner. It reads every record your company produces, finds the operational inefficiencies nobody is tracking, and warns you while problems are still small. Cerenovus finds the operational inefficiencies draining margin, identifies where systems and processes can be improved, and gives early warning when something begins to break. Questions that took weeks of digging get an evidence-backed answer in minutes. Duplicate payments, missed discounts, zombie software seats, dormant vendors, stalled receivables. The quiet leaks every business accumulates. It also finds what no report shows. Approvals that reject nothing but add two weeks. The same process run three…from cerenovus.ai
Does the same job
all alternatives →
- IBI built a service to help companies reduce AWS spend by 50%2022 · usage.ai · ▲123
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…
- DYDatree (YC W20): Prevent K8s misconfigurations from reaching production2021 · ▲144
Hi HN, this is Shimon and Eyar of Datree (https://www.datree.io/). When I was an Engineering Manager of Infrastructure at ironSource (NASDAQ:IS) for 400 developers, a developer made a mistake, causing a misconfiguration to reach production, which caused major problems for the company's infrastructure. Mistakes happen all the time - you learn from them and hope to never make them again. But how can we prevent a production issue from recurring, or, how about a bigger challenge — how can you prevent the next one from the get-go? In our case, we tried sending emails to our devs,…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com