Pinch AI is the industry’s first post-purchase risk operating system, helping retailers detect and prevent return abuse without punishing their best customers. Built by fraud and risk leaders from PayPal and Google, Pinch connects buyer identity, buyer journey, and item journey to give brands a single view of post-purchase risk, automatically distinguishing the small fraction of abusive customers from the loyal majority. Pinch recently announced its $5M seed round co-led by Dynamo Ventures and Infinity Ventures, with participation from Defined Capital and PayPal Ventures.
Founders start companies for many reasons: independence, speed, scale, risk, upside. For us, that wasn’t really it. It was simpler. We wanted to move fast and fix what was still broken. Build something customers wished existed, not eventually, but now. And build it with a culture that was human and agile from day one.
I’ve spent over 20 years in the fraud world, almost by accident at first, and then very intentionally. Because once you’re in, you realize something: fraud is a lens that forces you to understand human behavior, incentives, systems, and pressure points. After a long, rewarding run at PayPal, I felt the pull to build again. A mentor once told me that small and mid-sized businesses are the backbone of our economy. That line never left me. The idea that you could build something that actually protected them, that mattered.
Going from operator to founder is a massive reset. You trade certainty for ambiguity, resources for constraints. It’s terrifying but deeply human: choosing to bet your time, your energy, and your reputation on a problem you truly care about. What made it feel worth it was who I was doing it with. Jayan Tharayil, our COO, and Chirag Vaya, our CPO, had been in adjacent orbits for years. We’d talked about the same problems, knew how each of us thinks under pressure, and had built real trust before we ever wrote a line of code. Jayan brings a rare combination of data science rigor and product instinct. Chirag is a builder at his core, someone who can take a complex technical problem and ship it fast without cutting corners. Having co-founders who share your values, who debate rigorously and then move forward together, who care about getting it right and not just being right, that’s not a bonus. That’s the whole thing. When the opportunity came to build together, it felt less like a career move and more like a calling. That’s how Pinch began: as a conviction rather than a pitch deck.
Why Returns?
Returns are one of the largest and least-addressed sources of loss in e-commerce. Payments fraud has mature tooling. Chargebacks have infrastructure and benchmarking. Return abuse, for the most part, has neither.
As return rates have climbed and policies have become more generous, we saw a widening gap. Brands are managing returns like a logistics problem, while the losses are a fraud problem. And unlike fraud, which is easier to tag through chargebacks, abuse lives in a murky gray area where legitimate customer behavior blends with deliberate exploitation, and where the breadcrumbs are scattered across disparate systems. Merchants often absorb these costs without even realizing it, buried in logistics expenses, until margins start shrinking and warehouse teams start flagging odd patterns. By then, the damage is already done.
Pinch was built to close that gap with data and machine learning, rather than blunt policy changes. Custom-built for e-commerce, bringing buyer identity and buyer journey together with item journey. Solving first-party fraud goes beyond machine learning and AI. It’s about building experiences that deter bad behavior without punishing good customers.
Why Now?
Returns didn’t suddenly become a problem. Consumers expect flexibility. They choose where to shop based on who treats them best when things don’t go perfectly. Online purchasing is accelerating faster than overall e-commerce, and generous policies have become table stakes. With the higher volume of returns, abuse has followed.
But the ecosystem is fragmented: RMS, WMS, OMS, CX tools, warehouse teams, support teams, fraud teams. There is no single owner of the truth and no single view of the customer and all their breadcrumbs. So brands make broad, blunt decisions to deal with narrow, specific problems. And the best customers pay the price. Managing abuse is often manual guesswork. In an AI-native world, this shouldn’t be the future of commerce.
Everyone talks about returns losses as a $100B problem. We think of it as an opportunity: to solve a critical challenge intelligently, treat consumers uniquely, and reward loyalty. To challenge the economics of fraud without sacrificing trust.
Returns are no longer just an operational detail. They’re a strategic signal about customer behavior, product quality, and policy design. Brands that treat them purely as a cost will struggle. Brands that understand and manage them intelligently will win on both margins and loyalty.
That’s the future we’re building toward at Pinch.
Pinch is being used by brands across apparel, jewelry, and lifestyle, including Mejuri, Ceremony of Roses, Noli Shop, and Manhead, to get real visibility into return abuse and take action without disrupting the experience for their best customers.
One example that shows what we do well: a North American premium apparel brand came to us with high return rates and no way to distinguish genuine dissatisfaction from abuse. Within weeks of deploying Pinch, we identified that a small concentration of customers, roughly 7 to 10% of their base, were driving the vast majority of costly return behaviors. Using Pinch’s adaptive returns engine, they saw an 8% reduction in their overall return rate, a 10% lift in contribution margin, and automated 80% of return reviews that had previously been done manually. At the same time, their VIP customers actually had a better experience: instant refunds, elevated service, and a 20% increase in VIP retention.
For Mejuri, a fast-growing jewelry brand, our native Shopify integration meant they were up and running in minutes. Their team uses Pinch to segment customer behaviors, flag emerging abusers before they escalate, and enforce differentiated return policies, all without adding operational overhead. They’ve described the platform as purpose-built for how they operate, and it’s become a proof point we reference across the jewelry vertical.
The common thread across all our customers: they didn’t fully understand the scope of abuse until they saw the data. That baseline visibility alone changes how they think about returns as a business function.
The first was about retailers. Every retailer we spoke to knew return abuse was a problem and a growing one. What they didn’t know was how much it was actually hurting their bottom line. There was no visibility into the financial impact. They could feel the pain but couldn’t quantify it or pinpoint where it was concentrated. When we ran our first baseline analyses and showed brands that often less than 1% of their customers were responsible for a disproportionate share of return costs, the reaction was almost always the same: "We knew it was bad, but we had no idea it was this bad." That insight reshaped our entire go-to-market. We built our sales motion around a free baseline analysis that surfaces what’s actually happening in a retailer’s return data before we ever talk about the platform. It’s added a step, but it’s become our strongest conversion tool. Once they see the numbers, the conversation changes entirely.
The second surprise came from the ecosystem. When we started, many of the return management and order protection players we spoke to didn’t see abuse intelligence as a core need. They viewed it as adjacent to what they did. Fast forward to today and that perspective has shifted significantly. As their core offerings have become more commoditized in a competitive landscape, many of these same players are now actively exploring how to add abuse prevention capabilities, whether by building in-house or through partnerships. What started as whitespace has become a roadmap priority across the post-purchase ecosystem. That’s been a meaningful validation of our thesis, and it’s positioned Pinch well as a purpose-built solution that fits naturally into the stack these platforms are already building.
We were deliberate about who we raised from. We weren’t just looking for capital — we were looking for people we could trust, respect as operators, and who would be as invested in us as they were in the business. That matters when things get hard, and things always get hard.
What I’ve learned about picking investors comes down to a few things. Trust first: you are choosing people you will be in the trenches with for years, and no amount of brand name or check size makes up for a relationship where that trust isn’t there. Practical advice second, the kind that comes from people who have actually built or operated in the space. And coaching third. Introductions are great. Capital is necessary. But those two things alone don’t make the difference in the hardest moments.
Infinity came in early, before most people in the market were talking about return abuse as a real problem. They’ve been present through the earliest product thinking, through figuring out how to sell while educating a market that didn’t yet have language for what we were building, and through the hard conversations in between. Jay and the team push us, which has made us sharper. That level of engagement over time is not something we take for granted.
Dynamo’s supply chain and logistics expertise has been genuinely useful. They understood from the start that returns aren’t just a consumer experience problem, they’re an operational one. That framing sharpened how we think about positioning and who we sell to. Their advice has been practical across GTM, sales structure, and founder coaching, and their network has opened doors to retailer and platform conversations that would have taken us longer to reach otherwise.
Both firms believed in us when we were pre-revenue with a thesis that required some explaining. That early conviction mattered. Defined Capital and PayPal Ventures round out the group. Defined has been a steady presence since early on. Having PayPal Ventures involved, given my history there, means something specific: they understand the fraud and payments world from the inside, which helps when you’re trying to communicate a nuanced problem to the market.
The return fraud problem is only getting bigger. E-commerce continues to grow, return rates in categories like apparel routinely exceed 25%, and the tactics bad actors use are getting more sophisticated every year. Yet most retailers still don’t have a dedicated intelligence layer for post-purchase risk. That’s the opportunity we’re building Pinch to own.
Near-term, we’re accelerating product development across three areas: more advanced abuse prediction models that catch emerging patterns before they become costly, deeper warehouse intelligence so brands can make smarter decisions at the point of receiving a return, and expanded integrations across the retail tech stack, OMS, RMS, WMS, and CX platforms, so Pinch works seamlessly wherever a retailer already operates.
On the go-to-market side, we’re expanding into enterprise retail and building strategic partnerships with platforms like Route that put Pinch’s intelligence in front of thousands of merchants. We’re also seeing early traction in international markets. The return abuse problem is global, and brands operating across the US, Europe, and beyond need cross-market visibility into buyer behavior.
Longer-term, we believe Pinch becomes the intelligence layer that sits beneath every post-purchase decision a retailer makes: not just returns, but exchanges, warranty claims, customer lifetime value predictions, and personalized policy design. We’re building toward a world where retailers never have to choose between protecting their margins and delighting their customers. If you care about the future of retail economics, this is a space worth watching.
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