Arie Shpanya had a job that would make a browser’s refresh button feel overworked. He sold through eBay and Amazon, ran a store of his own, and checked what competitors were charging. Then he adjusted his prices. The following day, the work returned, faithfully and without invitation.
There was a customer on the other side of every number. Charge too much and the sale might go elsewhere. Charge too little and a busy shop could become a very elaborate way to avoid making money. Before Shpanya co-founded Wiser, he had met its problem from behind the counter.
That origin matters because a similar frustration would turn up later in his career. After a company sale came property investing. After property investing came a search for financing. Once again, information was scattered, comparison took time, and the person doing the searching suspected there ought to be a better arrangement.
The connection between Wiser and LoanBase begins there: with the ordinary work required before somebody can make a reasonably informed decision. Shpanya, who also uses Ari professionally, has built businesses around making that work less laborious. The story starts with merchandise and ends, for now, with mortgages on commercial property.
A seller with too many tabs open
Wiser’s founding team included Shpanya, Roey Brecher, and Raaid Hossain. Its original product, WisePricer, launched in August 2012. The name explained the assignment. Online merchants needed to follow rival prices and respond without spending their days visiting product listings individually.
Shpanya’s experience gave that assignment a particular urgency. A price comparison is useful only while it still describes the market. Manual checking was a recurring obligation, and the work multiplied across products and marketplaces. A store could add merchandise faster than its owner could add hours to the day.
“Wiser started as a simple solution for retailers by retailers.”
Arie Shpanya, 2015
The software brought competitor monitoring and repricing into a repeatable process. A merchant could set rules that considered its own sales information alongside external prices. Brecher, the co-founder and CTO, emphasized the team’s experience across technical work, merchandising, and marketing. The product had to make sense to people operating stores.
By June 2014, the business had outgrown its original label. WisePricer remained a product; Wiser became the umbrella name. Its expanding suite included WiseMapper, which helped brands monitor advertised prices across retailers. The company was broadening its audience from the merchant changing a number to the manufacturer watching how its products appeared elsewhere.
A product name gives way to a broader business: pricing, monitoring, and merchandising intelligence.
That same June announcement named Rue La La, Build.com, and AT&T among its clients and described expansion into the United Kingdom, Australia, and Southeast Asia. Shpanya had started with a task he knew. The business was discovering how many other people knew it too.
The cheaper-price trap
There is an easy caricature of automated pricing: a collection of computers politely taking turns to destroy everyone’s margin. Shpanya’s public work suggests a more complicated interest. The important question was how a price served a business, including the circumstances in which a customer would willingly pay more.
In his writing about aligning prices with business objectives, he warned that moving downmarket could be easier than recovering a higher-price position. Pricing communicated something about the retailer. A strategy that attracted the wrong expectations could make the rest of the business harder to run.
He also examined the traffic between physical and online shopping. In a 2014 article co-written with Angelica Valentine, he discussed webrooming: researching an item online before buying it in a store. Product information, delivery, and returns all mattered. A shopper comparing prices was still a person with practical objections to overcome.
His 2016 analysis of Amazon made another distinction. Wiser’s category-level research challenged the assumption that Amazon simply charged less across the board. Shpanya argued for watching the products and competitors that mattered most to a particular retailer. A reputation for low prices could be built selectively; a merchant needed to look beneath the reputation.
The same thinking appeared in his discussion of WiseDynamic. Service, delivery, and brand reputation could affect what a customer would pay. The software’s assignment included understanding that premium. Undercutting a rival was one possible decision within a larger set of choices.
Physical shops interested him as well. In 2015, he discussed WiseDisplay, an electronic shelf-label system intended to bring faster price changes into stores. He pointed to the manual conditions attached to price matching. The physical shelf, it seemed, could acquire some of the flexibility already available on a website.
A sale, then another search
In September 2016, Quad Analytix acquired Wiser. The chronology is worth keeping straight: the original Wiser came first; the later combination of Quad Analytix and Mobee launched as Wiser Solutions in 2017. Shpanya belongs to the founding story of the pricing business that became part of that larger company.
His interests also extended to marketplaces and property. His professional biography identifies him as a co-founder of equipment-rental marketplace Zent and a former general partner at Blok Living. In 2018, he appeared in a discussion of blockchain and real estate as a co-founder of Slice.
Those ventures place LoanBase in a longer property chapter. The immediate impetus, however, was personal. Shpanya began investing in real estate after selling his previous startup. When he wanted a loan for a property, finding and comparing lenders proved cumbersome. Familiarity with building software offered little exemption from the telephone calls.
He described the search in an August 2022 conversation with Sam Wilson: months spent working through brokers, banks, regional institutions, and credit unions. He wanted to enter his requirements and receive an organized set of possibilities. There was the old comparison problem again, now carrying a rather larger balance.
LoanBase’s purpose was to make those options easier to find. Borrowers and brokers could use technology to search a financing market that otherwise demanded extensive individual outreach. The frustrating part happened before a deal could even be properly compared: discovering which institutions were plausible candidates.
The business beyond the rate
LoanBase’s current presentation expands that idea into a market for lender information. Its official team page lists Shpanya as co-founder and CEO. The company describes a nationwide network of more than 7,500 commercial real estate lenders, including banks, credit unions, debt funds, and life insurance companies.
The important detail is the fit between a lender and a transaction. Loan size, property type, geography, and lending criteria help determine whether an apparently attractive source of capital can actually serve the borrower. The platform currently describes itself as a data provider; independent participants make their own contacts and conduct the financing conversations.
It also offers prospecting information about maturing loans, extending the comparison work to lenders looking for opportunities. The business now addresses both sides of discovery: finding suitable capital and finding transactions that might need it. Seeing a name in a directory is only the beginning of either job.
There is a consistent commercial realism in Shpanya’s advice. Back in 2015, discussing software business models, he urged founders to learn how to sell and deliver efficiently before leaning heavily on freemium. A large audience of people enjoying something free could still leave a company searching for revenue.
“free users don’t pay the bills.”
Arie Shpanya, on freemium, 2015
In property finance, that realism concerns the borrower as much as the platform. In his 2022 podcast appearance, he emphasized conservative underwriting and the value of an established track record. Easier discovery could help someone reach a lender. The borrower still needed to present a credible deal.
The founder leaves room for a book
Shpanya’s public interests reach beyond comparison screens. He completed Stanford Graduate School of Business’s Ignite program. His recommended reading includes Algorithms to Live By, Atomic Habits, and Paul Auster’s Mr. Vertigo. Sun Tzu’s The Art of War also appears on his list, with an observation about its relevance to building companies.
The novel is a welcome guest among the algorithms. A reading list can become another performance of professional efficiency; his makes room for fiction. When asked about people who had helped him, he turned to books as teachers. That was the answer he chose to give.
He has also described taking short breaks during the startup journey, calling them mini-retirements. The phrase is pleasantly disproportionate: retirement, ordinarily a major life event, reduced to something a working founder can fit between obligations. His account makes room for leaving the work and coming back to it.
The business story has a similar practicality. First came a seller checking rival prices. Later came an investor searching for a lender. In each case, Shpanya knew the inconvenience before he offered a product. Somewhere between another browser tab and another phone call, a repetitive task became a company worth trying to build.