Anchr raises USD $5.8m to build AI OS for distributors

Anchr has raised USD $5.8 million in seed funding as it builds an AI-native operating system for food distributors. The company positions its software as an automation layer spanning sales, purchasing, inventory, and finance.

The round was backed by a16z Speedrun, Anterra Capital, Offline Ventures, and Long Journey Ventures, alongside individual backers described as leaders from OpenAI. Anchr is based in New York City.

Food distribution sits at a major operational crossroads. Distributors manage perishable inventory and supply restaurants, grocers, and caterers, yet much of the day-to-day work still relies on text messages, spreadsheets, and older systems, according to Anchr.

Legacy constraints

Many distributors rely on enterprise resource planning systems that record transactions rather than guide decisions, Anchr argues. It says these tools do not provide real-time input into purchasing choices, inventory optimisation, or early warnings on margin risk.

Ordering platforms have modernised parts of the customer interface for some distributors, but Anchr says they often leave back-office processes such as purchasing and reconciliation untouched. It also argues that some tools intensify price competition in ways that harm regional operators.

Anchr's strategy is to sit on top of a distributor's existing technology stack rather than replace it. Its product embeds AI "teammates" across workflows including order intake, purchasing, inventory planning, invoicing, and collections, aiming to move work between functions without manual hand-offs.

Anchr frames this as a shift from software that digitises records to systems that automate operations. It uses the term "Enterprise Resource Automation (ERA)" for the category it aims to build.

Founder background

Anchr was founded by Tzar Taraporvala and Smayan Mehra, who have worked together for more than two decades. They began focusing on supply chain workflows after seeing how disconnected operational systems remain in distribution.

Their work included partnering with a Boston-based seafood distributor and mapping processes on the factory floor. Anchr points to routine tasks such as manually entering orders into ERP systems early in the morning, making purchasing decisions in spreadsheets, and reconciling invoices across separate tools.

"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."

Early outcomes

Anchr shared several early customer results. One customer reclaimed roughly 40% of daily working time across a team of eight sales representatives after automating order intake from texts and emails.

Another distributor reduced aged inventory write-offs by USD $30,000 in one month by using live demand signals to guide purchasing decisions, Anchr said. A third customer is on track to increase average basket size by about USD $65 per order across 4,000 annual orders by using AI to scrape menus and catalogues and surface upsell opportunities.

These gains matter in a sector where margins often sit in the low single digits. Small changes in waste, working time, and average order value can shift profitability, particularly for regional businesses competing with larger national players.

Anchr also pointed to early commercial traction, saying it booked seven figures in revenue in 12 weeks of Speedrun. Its customer base includes regional distributors and a publicly traded company described as a USD $5 billion enterprise.

"If the first era of enterprise software digitized 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," said Smayan Mehra, Co-Founder and Co-CEO of Anchr.

Expansion plans

With the seed funding, Anchr plans to expand automation across more operational layers inside distribution businesses, focusing on decisions that move inventory and cash. It also outlined a longer-term ambition to create an AI-native system of record built around operational workflows.

The company sees opportunities beyond food distribution in sectors where supply chains remain fragmented and reliant on manual processes. That includes industries that move physical goods through multiple hand-offs, with purchasing, warehousing, sales, and finance often running on separate tools.

"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.