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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchLevelpath announced on June 30, 2025, that it had raised more than $55 million in Series B funding led by Battery Ventures. The financing brings the company’s total capital raised to more than $100 million, according to Levelpath’s announcement.
The round gives Levelpath more money to develop its AI-native procurement platform, expand sales and customer success, and build integrations. It does not, however, prove that the startup has displaced established platforms such as Coupa or SAP Ariba.
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What the funding includes
Battery Ventures led the Series B. Existing investors Redpoint Ventures, Benchmark, 01A, NewView Capital, and World Innovation Lab also participated. Battery general partner Neeraj Agrawal joined Levelpath’s board.
Levelpath said it will use the money for product development, go-to-market expansion, customer success, integrations, and ecosystem partnerships. The company did not disclose the round’s valuation, the percentage of ownership sold, revenue, growth rate, profitability, or customer-retention figures.
The company’s release describes the financing as more than $55 million, although some coverage shortens that figure to $55 million. The distinction matters when reporting the company’s own numbers.
Who founded Levelpath?
Levelpath was founded in 2022 by Stan Garber and Alex Yakubovich, who previously co-founded Scout RFP. Workday acquired Scout RFP for $540 million in 2019, according to TechCrunch. The founders then spent roughly three years at Workday before starting Levelpath.
That history gives Levelpath unusually direct experience building procurement software and selling it to an enterprise technology company. It also helps explain why investors may view the company as a credible challenger rather than an untested AI startup.
What Levelpath is trying to fix
Traditional procurement systems can be powerful but difficult for ordinary employees to use. Requests may begin in email, collaboration software, or spreadsheets while the formal procurement process lives in a separate suite. When the approved route is slow or confusing, employees may bypass it, creating off-contract or poorly documented spending.
Levelpath’s central thesis is that procurement software should provide a simpler front door while preserving the controls finance and procurement teams need. Better adoption could improve purchasing visibility, supplier competition, contract compliance, and savings—but funding alone does not establish that Levelpath has achieved those outcomes at scale.
What the platform does
Levelpath positions its product as a unified procurement platform covering:
- Procurement intake and workflow orchestration
- Strategic sourcing and RFP management
- Supplier onboarding and supplier-risk management
- Contract management and analysis
- Project and savings-pipeline management
- Invoice automation
- Reporting and procurement intelligence
The platform also advertises integrations with ERP, finance, contract-lifecycle-management, Slack, and Microsoft Teams systems, along with mobile access. Its listed controls include role-based permissions, single sign-on, audit trails, configurable workflows, and policy guardrails. Levelpath advertises SOC 1 Type II, SOC 2 Type II, GDPR, and AES-256 protections on its platform page; buyers should request the underlying security documentation during due diligence.
What “AI-native” means here
Levelpath says its software was designed around AI from its founding rather than adding AI features to an older procurement suite. It describes a proprietary “Hyperbridge” reasoning engine as a way to connect enterprise data, workflows, and AI agents. That is a company-defined product claim, not independent evidence that the architecture is technically superior.
The practical distinction is more useful than the label:
- Automation follows a predefined rule or workflow.
- AI assistance summarizes information, recommends an action, or drafts content for a human.
- Agentic behavior completes multiple steps toward a goal and may adapt to changing information or instructions.
Levelpath markets its new AI Agents as capable of creating sourcing events, drafting RFPs, qualifying and ranking suppliers, onboarding vendors, assessing risk, analyzing contract repositories, identifying renewal dates and contract risks, answering agreement questions, and monitoring supplier or compliance signals.
The key buyer question is not whether an agent can produce a fluent answer. It is how much authority the customer can give it. Procurement teams should establish which actions require approval, whether thresholds can vary by category or supplier risk, how recommendations are logged, what happens when data conflicts, and how an erroneous action is corrected or reversed.
Customer traction and the limits of the evidence
TechCrunch reported that Levelpath counted Ace Hardware, Amgen, Coupang, and SiriusXM as customers when the financing was announced.
Levelpath’s current website reports more than 15,000 employees on the platform, more than 5,600 suppliers managed, more than 10,000 contracts managed, and $26 billion in spend run through the platform. It also claims a 46% reduction in cycle times and 10-times greater RFP capacity. These are company-reported figures, not independently benchmarked results, and may not be directly comparable with competitors’ metrics.
The company’s customer materials include a GATX case study claiming that supplier-bid analysis fell from days to minutes, RFP production time fell to seconds, and contract analysis contributed to $3.5 million in savings. The case study is available as a Levelpath-published PDF.
Those figures may be useful signals, but case studies require context. “Savings” can refer to negotiated reductions, avoided costs, estimated value, or hard-dollar savings. Results can also depend on the customer’s data quality, implementation, staffing, category mix, and starting baseline. A customer logo does not reveal whether the deployment is a pilot, a single business unit, or a global rollout.
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Where Levelpath fits competitively
Levelpath is entering a market that includes mature procurement suites and newer orchestration products. Relevant comparisons include:
| Platform | Primary comparison |
|---|---|
| Coupa | Established enterprise spend-management breadth, installed base, and ecosystem depth. |
| SAP Ariba | Procurement and supplier-network integration for organizations already centered on SAP. |
| Zip | Procurement intake, request management, and orchestration. |
| Oro Labs | Modern procurement orchestration and intake for buyers evaluating alternatives to legacy suites. |
Levelpath’s pitch is a newer, unified platform with a simpler employee experience and AI agents spanning multiple procurement workflows. Its competitors may have advantages in installed customers, supplier networks, ERP integration, geographic coverage, implementation partners, or operational maturity.
A serious comparison should examine procurement scope, AI execution controls, ERP and finance integrations, implementation burden, employee adoption, supplier-network effects, data portability, pricing, and independently verifiable customer outcomes. “AI-native” branding by itself is not a substitute for those checks.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why the round matters
The financing is significant for four reasons. First, procurement is a large enterprise spending category, so even modest improvements in compliance, sourcing, or contract visibility can have material financial effects. Second, AI gives newer vendors an opportunity to challenge software that was designed around forms, rules, and complex interfaces.
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Best Value
Still, the round shows investor confidence and provides growth capital; it does not establish market leadership, superior accuracy, profitability, or product-market dominance.
What buyers should investigate
Before adopting Levelpath or any AI-enabled procurement platform, an enterprise should ask:
- Which workflows can an agent execute without human approval?
- Can approval thresholds vary by spend category, supplier risk, geography, or business unit?
- Which AI models and third-party services process customer data?
- Is customer data used to train models?
- How are model upgrades tested and communicated?
- Can supplier, contract, workflow, and audit data be exported?
- Which integrations are native, partner-built, or dependent on middleware?
- What happens when the system lacks data or encounters conflicting policies?
- What are the implementation timeline, support commitments, and total costs?
- How will hard-dollar savings be separated from estimated efficiency gains?
- Can the platform coexist with Coupa, SAP Ariba, Oracle, Workday, or another existing system during migration?
Levelpath does not publish standard list pricing. Its public materials direct prospects toward a sales process, while G2 describes pricing as based on a business-value assessment. That makes a total-cost-of-ownership estimate especially important: buyers should include licensing, implementation, integrations, data migration, training, support, and ongoing AI governance.
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Levelpath has raised more than $55 million from experienced investors, taking total funding above $100 million. Its founders have direct procurement-software experience, and its product addresses a real enterprise problem: making controlled purchasing easier for employees while giving procurement teams broader visibility.
The company’s open challenge is execution. It must turn an appealing AI-agent and usability thesis into reliable, auditable deployments that produce repeatable results against mature platforms such as Coupa and SAP Ariba. For now, the funding is best read as a meaningful vote of confidence in Levelpath’s strategy—not proof that it has already won the procurement market.
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