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§ Private Profile · San Francisco, CA, USA
Provides AI-driven autonomous solutions for supply chain and logistics companies, automating problem resolution and back-office operations.
BackOps AI is a business-to-business software company based in an undisclosed location that develops artificial intelligence solutions to automate back-office workflows and logistics operations for the supply chain industry. The enterprise platform functions as a central intelligence system that autonomously resolves up to 80% of common supply chain disruptions, including damaged shipments, delivery delays, and routine vendor inquiries without human intervention. By deploying its proprietary Relay product, the company provides third-party logistics providers with a scalable alternative to outsourced human labor or expensive custom software development. The organization has secured $8 million in total venture funding to scale its operations and expand its commercial reach, which initially began with a regional third-party logistics enterprise located in San Diego, California. BackOps AI was established in an undisclosed year by co-founder and chief executive officer Sean McCarthy.
BackOps AI has raised $36.0M across 3 funding rounds.
BackOps AI has raised $36.0M in total across 3 funding rounds.
BackOps AI has raised $36.0M across 3 funding rounds. Most recently, it raised $26.0M Series A in March 2026.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 12, 2026 | $26M Series A | Tomasz Tunguz | Construct Capital, Gradient Ventures, TEN VC | Announced |
| Jun 1, 2025 | $8M Seed | Construct Capital | Gradient Ventures, Gradient, TEN VC | Announced |
| Oct 1, 2024 | $2M Seed | Zachary Bratun Glennon | Construct Capital, Gradient Ventures, TEN VC | Announced |
BackOps AI has raised $36.0M in total across 3 funding rounds.
BackOps AI's investors include Tomasz Tunguz, Construct Capital, Gradient Ventures, Ten VC, Zachary Bratun-Glennon.
BackOps AI is an AI-driven platform automating manual workflows in logistics and supply chain management, targeting a $100B inefficiency in operations like order updates, claims processing, and exception handling.[1][2][5] Its flagship product, Relay, integrates seamlessly with existing tools such as email, Slack, ERP, and over 100 WMS platforms (e.g., ShipHero, ShipStation, Amazon), enabling no-code automation that reads communications, updates systems, and resolves issues while maintaining human oversight.[1][2][5] The company serves 3PLs, manufacturers, industrials, and product-driven businesses, delivering measurable impact: one 3PL cut manual workload by 60% (saving three FTEs at 98.3% accuracy), a warehouse automates 80% of inbound inquiries, and order inquiry times dropped from 30 minutes to under 2 minutes with 14-point SLA improvements.[2]
Founded in 2024 in San Francisco, BackOps AI has raised $8M total ($2M pre-seed in early 2025, followed by $6M led by Construct Capital with Gradient and 10VC), fueling product expansion from reactive to proactive automation amid surging demand.[1][2]
BackOps AI was co-founded in 2024 by Sean McCarthy (CEO) and Henry Ou, leveraging their deep logistics and AI expertise.[1][2] McCarthy, an early hire at Amazon Shipping, led global sales and witnessed pervasive inefficiencies in supply chain exception management—issues like manual data entry, poor cross-departmental communication, and fragmented systems that plagued even tech-savvy operations.[1][6] This hands-on frustration, combined with Ou's complementary skills, sparked the idea for an accessible AI layer to "leapfrog" integration hurdles using everyday tools like email and Slack.[2][6]
Early traction was rapid: within a year, BackOps AI saved frontline teams 3-5 hours daily, secured major customers, and raised $8M to scale, validating its approach in a manual-heavy industry.[2]
BackOps AI stands out in logistics automation through:
BackOps AI rides the AI-native supply chain transformation wave, where generative AI finally tackles logistics' "decades-long integration problem" in a $100B+ manual labor market long resistant to digitization.[1][2] Timing is ideal: post-pandemic disruptions exposed fragilities, while AI advancements (e.g., multimodal models for voice/text/email) enable lightweight overlays on legacy stacks, bypassing costly rip-and-replace.[2][6] Favorable forces include e-commerce growth, nearshoring pressures, and investor appetite for ops AI (e.g., Construct Capital's bet on "connective intelligence").[2]
It influences the ecosystem by empowering 3PLs/manufacturers to focus on strategy/customer satisfaction, accelerating adoption of AI in underserved Brand & Retail logistics, and setting a model for "intelligence layers" in fragmented industries.[1][6][7]
BackOps AI is poised to dominate as the "singular intelligence layer" for back-office logistics, with $8M fueling Relay enhancements into proactive automation (e.g., predictive inventory, auto-quotes) and broader supply chain nodes.[2][5][6] Trends like agentic AI, multimodal integration, and rising warehouse labor costs ($100B inefficiency) will propel growth, potentially capturing significant share in 3PL/manufacturing.[1][2] Influence may evolve from niche solver to ecosystem standard, as teams from Amazon-era ops pros scale it globally—echoing how AI streamlined other manual domains, but starting with supply chain's messy reality.[3][6]