Weather Data Source: South Carolina Weather

HappyRobot raises $44M to scale AI agent platform for logistics and supply chains

Article Sponsored by:

CMiC Global

CMIC Global Logo

Since 1974, CMiC has been a global leader in enterprise software for the construction industry. Headquartered in Toronto, Canada, CMiC delivers a fully integrated platform that streamlines project management, financials, and field operations.

With a focus on innovation and customer success, CMiC empowers construction firms to enhance efficiency, improve collaboration, and make data-driven decisions. Trusted by industry leaders worldwide, CMiC continues to shape the future of construction technology.

Read More About CMiC: 

Futuristic warehouse control room with holographic AI agents coordinating logistics across dashboards and staff collaborating.

San Francisco, California, September 5, 2025

News Summary

San Francisco-based HappyRobot closed a $44 million Series B led by Base10 Partners to accelerate growth of its AI-native operating system for logistics and supply chains. The funding will support hires in engineering, on-site consulting and sales with hiring focus in San Francisco and Madrid, advance product development, and expand enterprise deployments. HappyRobot’s platform orchestrates autonomous AI workers across phone, email and chat, integrates with TMS, ERP and CRM systems, and serves more than 70 enterprise customers, delivering faster scheduling and multi-fold ROI in carrier operations and sales workflows.

HappyRobot raises $44M Series B led by Base10 to scale AI agent platform for logistics and supply chain

HappyRobot, Inc., a San Francisco, California-based company founded in 2023, disclosed a $44.0 million Series B round in September 2025, bringing total venture funding to $62 million. The round was led by Base10 Partners, with participation from other investors active in the automation of the real economy. The new capital is earmarked to hire top talent, advance the AI platform, expand enterprise deployments, and develop global operations as the company scales.

What the company does

HappyRobot presents itself as an AI-native operating system that orchestrates autonomous AI workers—often referred to as AI agents—to handle tasks across businesses, with a particular emphasis on logistics and supply chain operations. The mission is stated as to build the AI operating system for the real economy.

Product capabilities and tech approach

The platform enables agents to communicate over phone, email, and chat, read documents, browse websites, transcribe, generate voice, perform OCR, and conduct browser automation. It is designed to relay time-critical information to human workers and relies on a specialized blend of large language models and agentic AI refined with industry-specific knowledge to coordinate supply chain operations. Deep integrations exist with TMS, ERP, and CRM systems, along with other enterprise software across multiple levels of operation.

Platform features for operations teams

The system is described as highly configurable and intuitive, with an AI builder that lets operations teams—including non-developers—generate and deploy new AI agents using prompts. This enables agents to tackle a range of tasks from routine reporting to complex outreach and scheduling flows, all while keeping management informed of exceptions and status.

Real-world use cases and tasks automated

Reported tasks for AI agents include negotiating rates, booking appointments, collecting payments, recruiting staff, generating operational reports, scheduling appointments, and checking worker status and filling shifts. The approach emphasizes reducing manual coordination so humans can focus on strategic relationships and decision making.

Customer footprint and named clients

The company cites a customer base of 70+ enterprise customers, with several large logistics and operations names reported as part of the portfolio (including DHL Group, Ryder System, Werner Enterprises, and Schneider—the latter referenced in various circles as part of its ecosystem). These customers are described as benefiting from faster scheduling, improved workforce coordination, and streamlined communications across networks.

Operational impact and metrics reportedly observed

Customers have reported notable efficiency gains, including a reduction in the time to schedule appointments from more than a week to roughly 30 minutes over a ten-month period. Another metric cites a 19× return on investment for outbound sales AI agents, while carrier sales operations are described as achieving more than 5× returns.

Implementation model and technology stack

HappyRobot describes its AI workers as configurable from simple agents that generate monthly operations reports to more complex agents that manage worker outreach and replacement, all operating with little human oversight while keeping management informed about exceptions and status. The underlying technology blends a specialized mix of large language models with agentic AI, tuned with industry-specific knowledge to orchestrate supply chain tasks.

Company size, location, and growth plans

Prior to the raise, the company employed roughly 70 people, with plans to grow the team further. Hiring plans focus on software engineering, on-site consultants, and sales roles, targeting expansion in San Francisco and Madrid as part of a broader push for global operations.

Leadership and positioning

The company is led by Pablo Palafox, a co-founder and CEO. Marketing and communications around the platform emphasize digital teammates and an AI workforce designed to eliminate repetitive coordination so that human workers can devote time to strategic activities and relationship-building that drive value.

Investor context and funding history

The Series B lead investor is Base10 Partners, with participation from other investors tied to the automation of the real economy, enterprise logistics, and venture-backed technology ecosystems. The round follows a $15.6 million Series A completed in late 2024 and led by a16z, underscoring ongoing interest in AI-native operations platforms for complex supply chains.

Summary

In broad terms, HappyRobot is expanding its AI-native operating system for the real economy, targeting logistics and supply chain operations with a platform that turns AI agents into digital teammates. The fresh funding supports scaling talent, refining the AI platform, increasing deployments across enterprises, and building the company’s global footprint as it grows beyond its initial team of around 70 employees.

Frequently Asked Questions

What is the size and timing of HappyRobot’s Series B?
The company raised $44 million in a Series B in September 2025.

Who led the Series B round?
led the round.

What is the total funding raised by HappyRobot after the Series B?
Total venture funding increased to $62 million after the Series B.

What will the Series B funds be used for?
The funds will be used to hire top talent, advance the AI platform, expand enterprise deployments, and develop global operations.

How many enterprise customers does HappyRobot have?
The company reports 70+ enterprise customers.

Who are some named enterprise customers?
Named customers include DHL Group, Ryder System, Werner Enterprises, and Schneider.

What is HappyRobot’s product emphasis?
An AI-native operating system that orchestrates autonomous AI workers for logistics and supply chain tasks.

Where is HappyRobot headquartered and how large is its team?
Headquartered in San Francisco, with approximately 70 employees before the raise and plans to grow.

Key features at a glance

Feature Description Benefit
AI-native operating system Orchestrates autonomous AI workers (agents) to handle tasks across logistics and supply chain operations Reduces manual coordination and accelerates decision cycles
Agent capabilities Agents communicate via phone, email, and chat; read documents; browse; transcribe; OCR; browser automation Gathers and processes data quickly to support time-sensitive actions
Integrations Deep ties to TMS, ERP, CRM and other enterprise systems Seamless workflow across existing tech stacks
AI builder Prompts-based tool to create and deploy new AI agents without coding Faster adaptation to changing operations and requirements
Use cases Negotiating rates, booking appointments, collecting payments, recruiting staff, reporting, scheduling Automates numerous manual tasks to free human time for strategic work
Customer footprint 70+ enterprise customers including large logistics operators Broad deployment across real-world supply chains
Impact metrics Time-to-schedule dropped to ~30 minutes; outbound ROI cited at ~19x; carrier ops ROI >5x Demonstrable efficiency and cost savings for operators

Deeper Dive: News & Info About This Topic

Additional Resources

RISadlog
Author: RISadlog

Stay Connected

More Updates

Would You Like To Add Your Business?

WordPress Ads