The analytics your customers want.Live in your product in weeks.
Querri is the white-label AI analytics layer for senior living software. Your customers ask questions in plain English and get accurate answers, under your brand, inside your product. You skip the year of building the data layer underneath it.
Their question, your product, an accurate answer. Querri does the data work underneath.
Every QBR ends with the same question
Your customers run 20, 50, sometimes 100 communities on your product. Their data lives with you. Their answers don't, yet.
The leading companies built it.The mid-market is still promising it.
Querri mapped roughly 100 software companies selling into senior living. PointClickCare, Yardi, and Aline have real analytics capability. Of the mid-market vendors, 56% have zero data or BI staff, and most of them have the word analytics on their homepage right now. That gap is what prospects notice in every bake-off. The question is no longer whether your product gets a serious analytics layer. It's whether you build it or embed it.
The demo takes a weekend.Keeping it accurate is the real job.
A capable engineer can wire chat-with-your-data in a sprint, and it'll look great in the Friday all-hands. Production is a different sport, and the difference is exactly what Querri exists to own for you.
Right answers, every time
An occupancy number can feed a financing covenant or a family conversation. Querri applies your product's metric definitions at query time, every time, so the answer is defensible. Wrong once and the customer distrusts every answer after.
Permissions that survive AI
Your permission model already knows a regional sees her region. Querri enforces it on every path the AI can take to the data, in a market that handles resident health information.
Evals, forever
Models change under you and schemas drift. Querri runs a standing regression suite for answers, not just code, so a model upgrade never silently changes what your customers see. This is the line item that kills in-house builds after the demo.
2 tickets from your engineers.Analytics under your brand.
Provision data access, drop in the embed SDK. Your instance is live with your data in about a week; customer-facing after tuning, typically two to four weeks, and the tuning needs no engineers. It costs less than one of the engineers the build path requires.
Better than a chat wrapper. Smarter than a BI tool.
The AI layer is a fraction of what you're white-labeling. Underneath it sits the data foundation that separates 21% accuracy from 95%+. On top of it ship the things launch day actually needs: dashboards, embeddable chat, exports, and a tuning interface your product team drives without filing engineering tickets.
No rebuild
Connects to the database you already have. No rip-and-replace, no six-month data project first.
Your definitions
Occupancy is defined by you, and applied on every question, so answers stay consistent and defensible.
Your rules
The AI inherits your access model and can never answer beyond what the user is allowed to see.
Your brand
Ships in your UI under your name. Your sales team demos it as yours, because it is.
The full argument, in writing
Four build vs. buy pages and the senior living buy vs. build playbook. Every one shows its numbers and its sources, including the honest cases where building is the right call.
The real cost of building in-house
$150K to $340K in year one, 6 to 12 months, and a maintenance tail that never ends. The math, line by line, with inputs you can rerun.
Everyone is asking when you ship AI
Anthropic's own analytics agent went from 21% to 95%+ answer accuracy on the same model. The model was never the hard part.
Your export button is a demand signal
Analytics rated 43% of an application's value a decade ago. Your customers want it even more now.
The premium tier you haven't priced yet
A median 25% price premium for analytics, set on static dashboards a decade ago. Build vs. buy decides when you start collecting.
Shipping the analytics your customers keep asking for
The full argument: the build path priced honestly, the last 20% that kills demos in production, and when building is still the right call.
Read the playbook →Your product already has the data.Find out what it can support.
Start with one export, or challenge us with as many sources and connectors as you'd like. In 3 to 5 business days you get a branded 4 to 5 page report: what's clean, what's broken, and the questions your customers could already be asking your product. Free, and yours to keep.