In the point-of-sale financing space, fintech Wisetack is taking a different path than big buy now, pay later players by focusing on installment payments for in-person services such as home repairs. 

By linking with both banks and software companies, the San Francisco, California-based Wisetack’s platform enables pay over time options for the services industry. Wisetack, which has raised $64 million since its 2018 founding, works with tens of thousands of small services merchants through its software integrations, said CEO Bobby Tzekin during an Aug. 2 interview.

The company’s fintech infrastructure is embedded into the software those merchants use, allowing the customers of those companies to pay over time for their services, he said. Some of Wisetack’s software partners include Jobber, SmartServ and Thumbtack. Wisetack’s bank partners handle the lending aspect of the transaction. 

Wisetack most commonly competes with credit cards, although private label card issuer Synchrony Financial and bank Wells Fargo are other competitors in this corner of the market, Tzekin said.

In June, Wisetack and Citizens Financial Group teamed up. The partnership offers the Providence, Rhode Island-based bank a potential customer base it wouldn’t otherwise have access to, while Wisetack benefits from working with a large financial institution, Tzekin said. 

Wisetack, which also partners with San Marcos, California-based Hatch Bank, plans to announce more bank partners in the next couple of quarters, Tzekin said. 

Editor’s note: This interview has been edited for clarity and brevity. 

PAYMENTS DIVE: What is Wisetack’s focus in the point-of-sale financing space?

BOBBY TZEKIN: We don’t do e-commerce; we focus on small, services-based merchants. Our installment payment plans go anywhere from three months to five years, and everything that we do is an actual consumer loan issued by a bank. Our average transaction size is close to $5,000. We work with a lot of home services merchants, like folks doing HVAC, or plumbing, or electrical; landscaping, roofing, windows. We work with dental offices, we work with car repair providers. We reach these businesses through the software they’re already using. We embed into that software as an integrated payment option for in-person services. Many of these merchants either would not have that option available to them, or they’re using another product that is not embedded and tends to be more confusing and more expensive for customers.

Bobby Tzekin

Permission granted by Wisetack

What’s Wisetack’s strategy in landing more bank partnerships?

Our strategy with the banks, for the time being, will be to partner with fewer but better partners, so banks that are large enough and committed to the space. We’re not looking to have dozens of partners, but have several that are really strategic and committed.

Given this year’s bank failures and the uncertain economic outlook, have financial institutions’ interest in this type of partnership changed?

The partnerships and conversations we have with banks are long-term and strategic in nature. These banks see the market changes and move towards installment payments for consumers and know they need to participate in the market shifts to keep their large consumer business units successful. We’re working with the (executive) teams as they plan for many years ahead. Overall, nothing has changed in how we work with these banks.

How does Wisetack’s position in the installment lending space differ from traditional BNPL providers? 

We’re much more differentiated. There are a number of BNPL brands doing very similar things. In terms of profitability, I think many companies, given the environment the past few years, maybe managed their financials in a certain way that assumed access to lots of capital. We did less of that, in general. 

How has the BNPL trend brought more attention to the installment lending space?

Point-of-sale borrowing in general is short-circuiting a two step that was happening before: Fifteen years ago, people would run up their credit card bills, and then a few months later, they would go to online lenders and refinance the credit card, because they knew, OK, if it’s a bad deal that I’m revolving, I’ll get a loan to pay it off. So there’s no need for that if I can just take out the installment payment when I’m making the purchase. Technology is finally making that available everywhere.

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Generative AI models can draw the most attention in areas like marketing automation and financial technology. But a recent analysis by A/O PropTech reports that investments in AI startups are growing faster in the built world, both in terms of volume and value of investments. These investments have experienced a significant upward trend in the course of preparing for new sustainability mandates.

As the name suggests, A/O PropTech is a venture capital investment firm specializing in the built environment. At the moment, AI is still in its infancy in the built world due to the prevalence of unstructured data that is more difficult to calibrate and reconcile than other domains. An additional caveat is that A/O PropTech has a broad view of the built world, including real estate management and insurance of real assets that others may put into financial services.

Climate technology is the fastest growing AI application including climate risk, ESG reporting and energy management. The largest deals are concentrated in the most mature segments, including real estate transactions, property management, and construction.

Getting beyond AI laundry

Catriona Hyland, research analyst at A/O PropTech, said they initiated the latest study to see how the recent hype around generative AI is impacting startups in the built world. So far, generative AI has not caught on in the industry due to the numerous challenges in making sense of unstructured data. In the short term, generative AI could play a much more important role in expanding datasets to provide a foundation for other tools.

She said they were trying to isolate some of the AI-laundering issues that had plagued previous research on AI startups. A 2019 study by MMC found that 40% of startups reportedly using AI weren’t. Further analysis revealed that this was mainly due to third parties touting the AI ​​capabilities, which the companies had never claimed or corrected. Her team developed a large language model to parse data from Pitchbook and Crunchbase for analysis. Hyland explained:

I think AI is often used as a kind of buzzword when you have a startup where AI is the core component of that company. But I think in the built world, and probably most industries, it’s used more as a tool than a centerpiece of sorts.

London conducts business

The study found that AI-enabled built-world startups in Europe and North America have raised $18.6 billion in venture capital over the past decade, almost half of it in the last two years ($8.6 billion Dollar). And in both 2020 and 2022, venture deals in AI-enabled Built World startups overtook FinTech AI funding, reaching over 600 deals worldwide in 2021 alone.

Also, London saw the most deals while the San Francisco Bay Area saw more capital. London also recorded more deals than Paris, Berlin, Dublin and Tel Aviv combined. When asked why Hyland explained:

When we looked at the breakdown of the types of transactions that took place in London, many of them were at a fairly early stage and much more focused on areas like real estate transactions and the financial aspects of the built world. This makes sense given London’s position within Europe as a sort of financial hub.

Structure the unstructured

In the short term, they expect a greater focus on using AI to understand structured data rather than generating new building designs. Innovations in computer vision are proving incredibly important for scanning job sites, tracking progress and automating insurance claims processing. But other types of generative AI are still in their infancy.

Jess Clemans, Investor at A/O PropTech stated:

The innovation around the big language models and image generation models has been pretty much hyped in the media, but we haven’t seen much of this filter in real estate technology. I think we’re close to using a lot of it, but it’s still early days. What we’ve seen is a lot of other innovative AI coming into built world technology, but we’re interested in seeing where this is going and trying to get a better picture of how we think these are doing new innovations in the built world will be used next-generation technology.

The challenge is that buildings fundamentally obey the laws of physics and have a lot of regulations and logic about how they are structured and how they need to be built. You can’t leave it entirely to a machine to determine the output. We’ve seen companies use this approach. And the result has often been very illogically attached bathrooms to kitchens, hallways that lead nowhere, or windows that don’t connect to bedrooms.

What we’ve seen as a slightly more successful approach in this area is mixing generative AI models with human-readable rule systems that the AI ​​must adhere to. So I think we’re going to see some sort of merging of algorithmic approaches with generative AI approaches in space.

A big challenge is that developers are still trying to figure out how to specify things like building processes and building codes in a way that the AI ​​can understand. Today, most construction data is stored in paper files or PDF documents. Significant efforts are required to catch up. In addition, building codes can vary between cities and countries. Technical and subjective aspects must be taken into account, which local governments approve.

Clemans explained:

There is no actual structured rule system. This is so in its infancy that each company that has done this has invented their own system for assigning rules to items. And it’s specific in general. So we’ve seen companies do this for electrical or plumbing system design. And they had to apply it a little differently than someone who does architectural floor plans or architectural detail designs.

But the last piece of the puzzle that’s really interesting and complicated is basic human logic. For example, if you decide to place an electric railing in the ceiling, you may not want to attach it directly to the edge of the wall because the mounting screws are difficult for a human hand to reach. But a machine would never understand that. This is just an example of some of the finer details that are not part of building codes, that are not part of typical building documents, but part of human logic that needs to be translated in that direction in the future.

My recording

The generative aspects of AI are getting all the press this year. But better data translation and matching can offer more value in the short term. Improving workflows and processes for building and operating physical infrastructure requires finding better ways to make good use of data collected for other reasons.

The recent crop of generative AI applications emerged from Google’s efforts to develop a better translator between French and English. These transformer models could also be important in translating documents, designs and 3D data collection into digital twins.

The UK has been one of the innovators in BIM (Building Information Modeling) technology for organizing data about the built environment. It will be interesting to see how this lead plays into the UK government’s 10-year plan to make the UK a global AI superpower.

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Cedar President Seth Cohen (L) and CEO Florian Otto (R).

cedar

For many Americans, trying to interpret a medical bill can be like reading a foreign language. There are CPT codes, hospital expenses, insurance discounts, random fees, deductibles, and finally the amount you actually owe. Then the ancillary bills can trickle in. A balance from the diagnostic lab. Medical Device Charges. Money to pay the doctor who saw you during the operation but was not included in the hospital bill. And on and on.

With the startup Cedar for medical accounting software, Florian Otto wanted to define one side of the equation: the financial interaction between the patient and the hospital or doctor. “We want to transfer the digital health experience on the financial side to the 21st century in order to make it personalized, immediate, transparent and convenient,” says Otto, 40, co-founder and CEO of Cedar.

Each year, more than 12 million patients across 36 healthcare systems use cedar to check their insurance, make a co-payment before the visit, and pay their outstanding bills after a visit. All billing information is retrieved from the patient’s electronic patient file and reintegrated into it, regardless of the provider. But even if the hospital or doctor’s bill makes more sense now, there is still one important sticking point: the insurance side. As a result, Cedar on Thursday announced a $ 425 million acquisition of San Francisco-based OODA Health for a mixture of cash and equity. The move was driven by a $ 200 million Series D injection in March led by Tiger Global Management valued at $ 3.2 billion for cedar. The company has raised $ 370 million to date.

Whenever you go to a hospital, doctor, or even get a prescription, insurers send confusing documents called “Statement of Benefits” that specifically state “This is not an invoice”, but very confusingly similar to an invoice. “An average patient cannot really differentiate between what comes from the provider and what comes from the payer,” says Otto. The combined company aims to make things easy for patients with a simplified bill.

When consumers have a better understanding of what they are paying and why, they are more likely to pay their bills, which reduces the huge administrative burden for everyone involved. The U.S. spends nearly $ 500 billion on health care administration for billing, insurance, and overhead costs not directly related to the provision of care.

It doesn’t make sense for hospitals and doctors to have to explain to patients how their insurance, a product developed by a completely different company, works, but that’s the strange reality of the fragmented U.S. healthcare system, says Seth Cohen, 41. Co-founder of OODA. “The way we process and manage claims hasn’t changed in decades,” says Cohen. “All of these innovations are happening all over Silicon Valley, New York, but that level of administration has not been touched.”

We have this trifecta of provider, patient and payer together.

Florian Otto, cedar

OODA takes its name from a military acronym from the 1960s that stands for “observe, orient, decide, act” and, in the healthcare context, aims to make faster, smarter decisions based on data. Cohen and his co-founder Giovanni Colella first met at Castlight, where Cohen was vice president of sales and alliances and Colella was co-founder and CEO. Castlight, which offered healthcare pricing transparency software to employers, went public at nearly $ 40 a share and is now trading at less than $ 2 a share. His spectacular blaze is now a cautionary story for digital health, even as the market enters a frothy phase of sky-high valuations. Cohen, who is on the board of directors at Castlight, said the experience made him realize that healthcare companies targeting employers have hit a cap on scaling. “What if we go into the beast’s belly, so to speak, and try to fix some of those broken administrative pieces?”

Cohen and Colella founded their company in 2017 together with co-founders Anshul Amar and Midori Uehara. They built a platform on which patients can receive a statement from the insurer, which also includes deductibles and other payment options such as a health savings account. It also offers the flexibility of payment plans so customers aren’t forced to pay a huge bill at once or end up in collections. OODA, which has raised $ 57 million, has signed contracts with major insurers such as Blue Shield of California and Anthem Blue Cross and recently entered into a corporate agreement with UnitedHealth Group. Cohen will serve as president and director of the combined company. Cedar co-founder Arel Lidow and OODA co-founder Anshul Amar will serve in leadership roles.

Cedar, which gets its name from the tree for its medicinal properties, strength, and longevity, was launched in 2016. Originally from Germany, Otto had a background in health consulting at McKinsey in Brazil, where he later founded a company that was acquired by Groupon and became the head of Groupon Brazil. It was his wife’s experience in an emergency room in New York – and the billing nightmare that followed – that got him back into healthcare. Reducing hundreds of billions of dollars in annual administrative waste in the U.S. healthcare system means it is becoming more affordable for everyone, Otto says. “Cedar is the only company that can really build this because we have this trifecta of provider, patient and payer together.”

The first step after the acquisition is to merge the provider and insurance products. Then the company will move to new products that focus on the back end of accelerating payments between insurers and providers by addressing issues like prior approval. “We want to enable the patient to take care of their medical problem and not have to worry about administrative or financial problems,” says Otto. “If you have an illness, you still have stress. We want to take this away from the patient so that he can concentrate on getting well. ”

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