AI fintech startup Anchr has secured $5.8 million in seed funding to build what it describes as the first end-to-end operating system designed specifically for food distributors. The round includes backing from Andreessen Horowitz Speedrun along with Anterra Capital, Offline Ventures and Long Journey Ventures, alongside leaders from OpenAI.
The company plans to use the funding to scale a platform that embeds automated digital assistants across key operational functions such as sales, purchasing, inventory management and finance. The goal is to eliminate the manual processes that still dominate one of America’s largest supply chains.
A massive industry still running on spreadsheets and texts
Behind every stocked grocery shelf and restaurant delivery lies a distribution network moving hundreds of billions of dollars in perishable goods every year. Yet much of the work that keeps products flowing still happens through spreadsheets, text messages and software designed decades ago.
Most distributors rely on enterprise resource planning systems that track past transactions but rarely guide decisions in real time. They record what already happened but fail to warn operators when margins are at risk, when inventory levels are misaligned with demand or when purchasing decisions could be optimised.
Even modern ordering platforms such as Choco and Pepper focus primarily on digitising customer orders. They rarely address the rest of the operational chain, including procurement, reconciliation and margin visibility. The result is a fragmented ecosystem where businesses rely on multiple disconnected tools that create complexity rather than clarity.
Turning fragmented workflows into coordinated operations
Anchr approaches the problem from a different angle. Instead of replacing existing systems, the platform integrates with the tools distributors already use and layers automation across them.
Within the platform, automated digital assistants operate across the entire workflow, handling order intake, managing purchasing decisions, planning inventory levels, generating invoices and tracking collections. Information flows across departments automatically, allowing decisions to be made with full operational context.
The idea emerged from real-world observation. Co-founders Tzar Taraporvala and Smayan Mehra, who have known each other since the age of four, began examining inefficiencies in supply chains after years of building together.
Their turning point came when they partnered with Wulf’s Fish, a seafood distributor based in Boston. Months spent mapping operations revealed just how manual the process remained. Orders were being entered into systems at three in the morning. Purchasing decisions depended on fragmented spreadsheets. Finance teams were reconciling invoices across multiple disconnected tools.
Early results show measurable operational impact
For distributors operating on thin margins, even small operational improvements can have a significant financial impact. Early adopters of Anchr’s platform have already reported tangible results.
One distributor recovered around 40 percent of daily working time across a team of eight sales representatives after automating order intake from emails and text messages. Another customer reduced aged inventory write-offs by $30,000 in a single month by using demand signals to guide purchasing decisions.
In another case, the system helped increase average order size by around $65 per transaction across roughly 4,000 annual orders by analysing menus and catalogues to recommend additional items.
Momentum has followed quickly. Within just 12 weeks of the Speedrun programme, Anchr booked seven-figure revenue, attracting customers ranging from regional distributors to a $5 billion publicly traded enterprise.
What’s next?
Looking ahead, the company plans to deepen automation across every operational layer of food distribution, building a coordination system that touches every decision involving product movement or capital flow.
Over time, the same framework could extend beyond food into other fragmented supply chains where efficiency gains remain untapped.
“The magic here is compounding: when sales, purchasing, inventory, and finance share context, the whole business runs differently. Anchr is building an AI-native operating layer that turns fragmented steps into an integrated workflow and the early customer outcomes show what that unlocks,” said Troy Kirwin at a16z Speedrun
“If the first era of enterprise software digitised record-keeping, we believe the next era will automate it. We call that shift Enterprise Resource Automation (ERA) – and Anchr is building this inevitable operating layer” concludes Smayan Mehra, Co-Founder and Co-CEO, Anchr.
“The biggest opportunity to leverage AI isn’t in industries with modern infrastructure,” said Tzar Taraporvala, Co-Founder and Co-CEO of Anchr. “It’s buried deep in the operational backbone of the economy. Food distributors manage millions of dollars of inventory with systems that were never designed to handle today’s complexity. We built Anchr to become the intelligent layer that works alongside teams every single day, automating away the tedious, unsexy parts of the job to create truly material value for a margin-strapped business.”
