The New York-based startup says the platform places intelligent software assistants across daily operations, including sales, purchasing, inventory and finance. Its goal is to remove the manual work still used in food distribution.

Investors such as a16z Speedrun, Anterra Capital, Offline Ventures and Long Journey Ventures supported Anchr in the seed funding round. Executives from OpenAI also joined the investment.

Food distribution sits behind everyday commerce. Every restaurant order, supermarket shelf and catering delivery depends on it. However, much of the industry still runs on text messages, spreadsheets and ageing software.

Distributors handle hundreds of billions of dollars in perishable goods each year. Despite that scale, many teams still manage key processes manually.

Orders are typed into systems by hand, purchasing decisions rely on scattered spreadsheets and finance teams usually reconcile invoices across several disconnected platforms.

Anchr believes that gap creates an opportunity.

Most distributors rely on enterprise resource planning systems built to record past activity. Those systems log transactions but rarely guide future decisions. They do not forecast demand, optimise inventory in real time or warn teams about shrinking margins.

Other platforms focus mainly on digital ordering. For example, Choco and Pepper help customers place orders online. However, they stop there. Purchasing, reconciliation and margin analysis are still outside their scope.

As a result, many distributors use a patchwork of tools. Instead of simplifying operations, that mix often adds complexity.

Anchr’s platform sits on top of existing systems. Rather than replacing ERP software, it connects to it. The company says the software then handles tasks across order intake, purchasing, inventory planning, invoicing and collections.

Work that once required hours of manual input can now run automatically, with information carried across each step.

“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.”

The founders know the problem well, as Taraporvala and Smayan Mehra have built companies together for more than twenty years. Their interest in supply chain systems grew after seeing how disconnected many of them are.

A breakthrough came when they worked with a seafood distributor in Boston. The team spent months studying operations on the factory floor. What they found was unforgettable.

Staff entered orders into ERP systems at three in the morning, purchasing decisions came from fragmented spreadsheets and finance teams balanced invoices across several platforms.

For the founders, the inefficiencies were apparent and expensive.

Early users of the platform are already reporting measurable changes. One distributor recovered about 40% of daily working time across eight sales representatives. The profit came after automating order intake from text messages and emails.

Another company cut aged inventory losses by $30,000 in a single month. Better purchasing decisions, guided by live demand signals, helped achieve that.

Elsewhere, a customer expects to increase average basket size by roughly $65 per order. The system analyses menus and catalogues to suggest additional products.

In an industry where profit margins usually sit in low single digits, even small improvements can add up quickly.

The company’s early growth shows that urgency. Within 12 weeks of joining Speedrun, Anchr says it had already booked seven-figure revenue. Its customer base now ranges from regional distributors to a publicly traded company valued at about $5 billion.

“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” said Smayan Mehra, co-founder and Co-CEO, Anchr.

With the seed funding, Anchr plans to expand automation across every layer of distributor operations. The aim is to create a system that supports every decision affecting product movement or financial flow.

Beyond food distribution, the founders see similar opportunities in other supply chains where physical goods move through fragmented systems.

“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.

The post Anchr Raises $5.8 Million Seed Funding to Build AI-Powered Operating System for Food Distributors appeared first on Tech | Business | Economy.

This initial funding will accelerate the development and deployment of its solutions for the logistics and warehousing industry. 

The seed round was supported by a multitude of investors, including 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund.

LuminX addresses critical inefficiencies in supply chain and warehouse management that lead to significant operational costs and errors. 

The company is at the forefront of solving these issues by developing and deploying its Vision Language Models (VLMs) directly onto low-cost mobile hardware within the warehouse – an approach that makes advanced AI accessible and practical for a wider range of operations.

LuminX systems uniquely integrate sophisticated visual understanding with powerful generative AI capabilities, enabling its cameras to ‘see’ and interpret complex, dynamic warehouse environments in real-time, recognising products, varied labels, assessing package conditions, and tracking movement. 

These versatile devices can be deployed anywhere in the warehouse, including docks, conveyors, on forklifts, or as handheld units. LuminX’s system intelligently processes this visual information to automate intricate operational tasks, eliminate manual work, and provide actionable data for drastically reducing discrepancies and optimising overall workflow.

LuminX is led by founder and CEO Alex Kaveh Senemar, a seasoned entrepreneur with a proven track record of building and scaling successful AI companies across several industries. 

He previously founded and led Voxel, a pioneering AI company in warehouse safety and operations, and prior to that, founded Sherbit, which was successfully acquired by Huma in 2019. 

He is joined by co-founder & CTO Reza (Mamrez) Javanmardi, Ph.D. in Computer Science and former Head of AI Research at Voxel, whose career spans impactful R&D in machine learning and computer vision across startups and research institutions. 

The LuminX team brings a wealth of knowledge and deep expertise in AI, specifically in Vision Language Models, computer vision, and robotics, with many members having ties to leading research institutions like Carnegie Mellon University. 

The team’s established track record and vision have garnered strong support. Significant participation in the funding round also came from previous investors in Voxel and customers, underscoring deep confidence in LuminX’s advanced technological approach.

“This pivotal funding allows us to scale our next-generation AI models, transforming how warehouses operate,” said Alex Kaveh Senemar.

“Our edge based vision language models represent a massive step forward, acting as an intelligent core for warehouse operations. They deliver new levels of automation and insight, helping to turn previously opaque processes into transparent highly efficient systems.”

LuminX is experiencing strong early traction, with many warehouses using the technology. One such early adopter is Vertical Cold Storage. Robert Bascom, COO of Vertical Cold Storage, commented on their experience: 

“LuminX’s technology is set to revolutionise our warehouse productivity and operations. It’s allowing us to automate critical tasks, significantly enhance quality, and reduce claims.” He added, “In my entire career, I have yet to encounter a product that so effectively improves efficiency while simultaneously boosting quality and reliability.”

Kat Collins of 1Sharpe Capital, a key investor, stated, “Edge-deployed vision-language models are breaking the two toughest bottlenecks in logistics—labor scarcity and data blindness. By turning a low-cost camera into a perceptive co-worker that sees, understands, and acts in real time, LuminX is unlocking a step-change in operational intelligence and efficiency for every pallet, conveyer, and forklift.”

The newly acquired funds will be strategically invested in advancing LuminX’s core research and development in Vision Language Models for logistics, further optimising them for edge deployment, expanding its specialised engineering talent, and scaling go-to-market activities.  

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