About
Avent builds AI agents for industrial commerce that automate RFQ handling, quoting, order entry, procurement, and product-data workflows. It sells to manufacturers and industrial distributors, differentiating itself by embedding agents in existing operational systems and workflows while integrating with major ERPs without requiring replacement.
Market
Avent competes in vertical AI and enterprise workflow automation for industrial commerce, serving manufacturers and distributors whose sales and fulfillment processes still depend on unstructured communications and legacy ERP systems. It positions itself as an AI operating system or network of agents that unifies inbox management, quoting, order entry, procurement, and product intelligence. Its key differentiation is industrial-specific knowledge of pricing, products, and business rules combined with API-based integration into existing ERP systems rather than requiring a rip-and-replace implementation.
Avent targets B2B industrial distributors, manufacturers, and independent manufacturer representatives, particularly organizations with high-volume inside-sales and order-operations work conducted through email, PDFs, phone, and legacy ERP workflows. The primary users and buyers are likely sales, operations, and commercial-automation leaders seeking to reduce manual quoting, order entry, and product-data work.
At a Glance
Problem
Industrial manufacturers and distributors often rely on inside-sales teams to handle repetitive, administrative work: monitoring inboxes, reading RFQs, finding product and pricing information, preparing quotes, entering purchase orders, and chasing missing data. This creates a capacity and knowledge problem: training new representatives takes months, critical pricing and product knowledge remains trapped in employees’ heads or inboxes, and an aging workforce threatens to make the labor shortage worse.
The economic pain is lost selling time and delayed revenue. Avent’s central use case is the quote-to-order workflow: identify the correct product and price, prepare a quote for review, then match the customer’s purchase order to that quote and enter the resulting sales order into the ERP. By automating this repetitive work continuously, Avent says it can reduce customer-service administrative effort by roughly 50% and prevent backlogs that cause missed orders or revenue.
Product / Service
Avent provides a network of AI agents designed to operate inside the workflows that distributors and manufacturers already use. The agents read RFQs, process orders, validate information, retain pricing knowledge, manage sales inboxes, build quotes from historical pricing and business knowledge, and update existing enterprise systems. The platform is positioned as an AI layer around the ERP rather than a replacement for it, unifying inbox management, quoting, and order entry in one system.
The delivery model is workflow automation integrated with existing business software and tailored to a company’s processes. Public descriptions say Avent can connect with systems such as Epicor, SAP, Oracle, and Microsoft Dynamics, synchronize product information, and use customizable rules. Humans can review quotes and orders before they are sent or finalized, combining automation’s speed and continuity with operational oversight and the potential to free sales staff to spend more time with customers.
Market
Avent competes in the emerging market for AI agents, robotic process automation, and enterprise workflow software for industrial distribution and manufacturing. Its narrower category is industrial-commerce automation, particularly AI-assisted quoting, product search, order entry, procurement, and customer-request management. Market databases identify Manus, UiPath, and WRITER as competitors or comparables, while other databases list Ada, Sales Layer, and Enable as possible alternatives; these names span adjacent automation and sales-operations categories rather than proving that each is a direct substitute.
Avent appears to be an early-stage, funded company rather than a scaled incumbent. It was founded in 2025, launched publicly in August 2025, entered Y Combinator, and received the accelerator’s $500,000 investment. The available public record does not disclose customer counts, revenue, deployments, or case-study results, so it is not possible to establish that Avent is pre-revenue; the best-supported characterization is a seed-stage company with product positioning and funding traction but no publicly quantified commercial traction.
Founders & Leadership
Funding History
Y Combinator
Recent News
Avent announced its participation in ISA26 at booth #1009, with live demos, two workshops, and the full Avent team attending.
Modern Distribution Management interviewed founder Abhay Kalra about how growing up in his family’s distribution business inspired Avent.
Avent announced its launch from Y Combinator and positioned its AI inside-sales rep for industrial distributors and manufacturers as automating quoting, order entry, and product search.
Y Combinator’s Summer 2025 company profile described Avent’s AI agents for industrial commerce, which automate quoting and order entry for manufacturers and distributors.
Active Roles
3Business Model
Avent appears to use a sales-led B2B software model, selling access to AI agents that automate quoting, order entry, procurement, and related workflows for manufacturers and industrial distributors. Prospects are directed to request a demo or contact sales; public pricing and exact billing terms are not disclosed.