Technology Round-Up — June 11, 2025

Technology Round-Up — June 11, 2025

CPO Rising’s Technology Round-Up series continues this week with fresh supply management technology news and updates covering a few recent major announcements. If you are a sourcing, procurement, or spend management solution provider and you are continually innovating the way that procurement and supply chain leaders and practitioners drive value, we’d love to hear from you. Please drop us a note at info at cporising dot com. Thanks, and enjoy!

ORO Labs Launches New Agentic AI Capabilities

SAN FRANCISCO — ORO Labs, a leading enterprise-grade intake management and procurement orchestration platform, unveiled new agentic AI capabilities that give procurement teams more control over how and where they apply automation.

The company stated that the launch introduces a no-code AI Agent Builder that allows teams to design and deploy their own agents with ease. Building on their existing portfolio, ORO has also released a new tranche of pre-built AI agents to speed up compliance processes and improve risk detection.

According to Sudhir Bhojwani, co-founder and CEO of ORO Labs, “At ORO, we believe the future of procurement isn’t just about adding AI — it’s about orchestrating a symphony of human and machine intelligence,” he said.

“While others are just starting to explore AI agents, we’re delivering a comprehensive, production-ready solution that securely connects data, systems, human decision-makers, and AI agents to unlock unprecedented levels of automation and collaboration.”

The latest tranche of AI agents is purpose-built to handle time-consuming risk and compliance tasks, including: risk reviews, fraud detection, global tax compliance, sustainability compliance, anti-bribery compliance, and legal reviews, stated ORO.

The company has also introduced a new intake management agent that recommends opportunities for autonomous negotiation. These build on ORO’s existing portfolio of agents for intake management, supplier maintenance, and knowledge retrieval, expanding on the platform’s ability to support the entire source-to-pay process from end to end.

Read the full announcement here.

Global Payments and Sage Launch Embedded Vendor Payments Solution

ATLANTA — Global Payments Inc. announced that its MineralTree business, which provides modern, secure, easy-to-use accounts payable (AP) and payment automation solutions, and Sage, a leader in accounting, financial, HR, and payroll technology for small and mid-sized businesses (SMBs), launched a vendor payments solution built directly within Sage Intacct.

The solution, Vendor Payments powered by MineralTree, gives finance teams a seamless way to pay vendor bills without ever leaving their Sage Intacct instance.

According to Brian Greehan, head of B2B solutions for Global Payments, “With so many finance teams overwhelmed by disconnected tools, our goal was to embed payments into the software they already use every day,” he said.

“This offering is about more than convenience. It’s about embedding payments seamlessly into the workflow so businesses can operate with more control, speed and confidence at a time when efficiency and cash flow visibility are critical.”

Read the full announcement here.

Vallor Receives New Funding to Invest in AI Agents to Manage Contracts Autonomously

MIAMI, Fla. — Vallor, an AI-agent platform that puts procurement contracts on autopilot, announced an oversubscribed $4 million seed round to accelerate its mission of saving enterprises time and money by giving procurement teams the tools to eliminate manual tasks and focus on strategic, high-value work.

The funding round was led by Dynamo Ventures with Bloomberg Beta as a co-lead, with participation from Liquid 2 Ventures, El Cap Ventures, and Rock Yard Ventures. The round also includes notable angel investors such as Immad Akhund (Founder, Mercury) and Sean Henry (Founder, Stord) through Sequoia’s Scout Fund.

According to Antonio Goncalves, CEO of Vallor, “Procurement is meant to be a strategic driver, but many teams are drowning in contract management overhead,” he said.

“Our AI agents do the heavy lifting: finding what matters, flagging what’s at risk, and delivering real-time insights from contracts, including legacy contracts that have been sitting dormant. This isn’t just about speed. It’s about giving teams a strategic edge they’ve never had before.”

The company stated that Vallor uses AI agents to extract unstructured data, surface risks, track obligations, and deliver insights from contracts, many that have sat untouched for years. This shift represents a new generation of Service-as-Software-where AI doesn’t just support workflows, it actively performs them.

Read the full announcement here.

ZeroError Launches Advanced Analytics Capabilities

SAN FRANCISCO — ZeroError, announced at Snowflake’s annual user conference, Snowflake Summit 2025, the launch of new advanced analytics capabilities to support supply chain optimization on the Snowflake AI Data Cloud. This new integration, Powered by Snowflake, will enable organizations to tackle complex supply chain challenges such as master data, bill of materials (BOM), MRP planning, inventory management, carbon footprint, and tax & tariff impact.

According to Kieran Kennedy, VP, data cloud products at Snowflake, “The launch of ZeroError’s enhanced analytics features for supply chain demonstrates their dedication to supporting Snowflake’s mission of empowering every enterprise to achieve its full potential through data and AI,” he said.

“We look forward to working with ZeroError to deliver greater value for the Snowflake AI Data Cloud ecosystem, enabling our customers to confidently leverage their data within Snowflake’s unified platform.”

The company stated that by leveraging the Snowflake AI Data Cloud, ZeroError is joining Snowflake in empowering every enterprise to achieve its full potential through data and AI. By leveraging GenAI, ZeroError detects anomalies in the data, in an autonomous way without having to define business rules, through the proprietary catalog of analysis adapted by the ZeroError team to each use case.

Read the full announcement here.

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