Audare AI: intelligence for banks and credit unions
For banks and credit unions
Your institution and three competitors, side by side. Free.
A five-minute read before the next pricing committee.
- 2,000+US banks and credit unions, captured weekly
- Every valueLinked to source data
- Live in daysNo core connection. No IT project.
- No member dataPublic data only. One less thing for compliance.
Three places a customer's choice gets made.
What the people in those rooms told us, and what the market data says.
One market record. Three places it goes to work.
Every week Vira captures the public shelf of more than 2,000 US banks and credit unions. Name any competitor and it reads that institution down to the product: every rate, fee, feature, promotion and program, with its terms and who qualifies, dated and linked to its source.
A rate page is overwritten the day the rate changes. Vira keeps what it said. Your competitors' websites have short memories. Ours doesn't.
Vira
See what your competitors offer. Before the board asks.The market record, read down to the product. Plus deposit decisions for the pricing committee: does the gap matter, what does it cost, and what are the moves.
Explore Vira →Branch Assistant
The confidence to ask one more question.A guidance screen for branch employees: the next question in their own words, and the competitor's offer beside your own.
Explore the Branch Assistant →AI Assistant Audit
Unseen, or beaten?What ChatGPT, Gemini and Claude tell people about you, checked against your own published pages. With the fixes written out.
Explore the Audit →Proof
"This usually would take us a whole day or more."
A member of a retail team, on how long a competitive review used to take.
What we don't touch is part of the design.
Your core stays exactly where it is. Here is what each product touches, and what it doesn't.
Public pages, read directly
The market record is built from what institutions publish on their own websites. The same pages any visitor sees. No surveys, no consortium, no data sharing.
No core connection
None of the three connects to your core. The branch screen runs in its own browser window beside it, and the two are not connected.
Nothing that identifies the customer
There is nowhere on the branch screen to enter a name or an account number. It makes no decisions. It suggests, and the employee decides.
Every word written in advance
Every response on the branch screen is written ahead of time, so your team can read it before a customer hears it. No AI writes anything during the conversation.
Totals, not accounts
The committee tools were designed with finance leaders to work from totals by term and size, or inside your own warehouse. The audit needs nothing from your systems at all.
Source-linked, and easy to switch off
Every value links to the page it came from. AI can make mistakes; source links let you tell when. And the branch screen goes away when one URL leaves your allowlist.
Fair questions. Straight answers.
"Our core system is older than some of your engineers."
Then we have something in common: we leave it alone. Vira works from what institutions publish. The branch screen sits beside your core in its own browser window. The audit needs nothing from your systems. Your core stays exactly as it is.
"We don't have IT resources for another vendor."
The record and the audit need none. The branch screen runs in a browser and needs one URL added to your allowlist.
"Will competitors know we're watching them?"
No. We read what they publish, the same as any visitor to their website.
"Are we the right size for you?"
We built for community and regional banks and credit unions, from $500 million in assets up. The record covers the largest banks too, because that is who you compete with.
"How much?"
Less than you're losing to competitors each month. We recommend a conversation. But we're biased.
Can't find what you're looking for? partners@audareai.com
We could build for anyone. We chose banking.
Every community bank and credit union knows what makes it worth choosing.
- The people at the counter.
- The loan someone else turned down.
- The branch that stayed when others left.
What has changed is where people look first. Rates are compared in seconds. More and more questions about money go to an AI assistant before they reach a branch. The largest banks have teams and tools watching all of it, every week. Many community institutions are working from a spreadsheet someone built by hand.
Size was never the problem. Seeing the market, and being seen in it, is.
The market view the largest banks take for granted, built for the institutions that need it most.
Built where accuracy is everything.
Alumni of PayPal, Intuit, Target, McKinsey, Philips, eBay and MIT. We have shipped machine learning at consumer scale in payments, lending and medical imaging: regulated fields where a wrong answer has consequences.
Shaped by the people who live it every day.
Built with the finance, lending and retail leaders who use it. Their teams put it to work on real decisions and told us where it fell short. We kept iterating until it held up.
Designed with intention.
Big-bank questions. Community-sized teams. So we build in the depth each question needs, and leave out the project your roadmap has no room for.