Ratio Raises $15.8M, Secures $100M Credit Line to Rethink B2B Cash Flow

San Francisco-based Ratio has raised $15.8 million in new venture funding while securing an additional $100 million in lending capacity, positioning itself to tackle one of the most persistent problems in B2B software: the gap between closing a deal and actually receiving cash.

The company, which focuses on embedded finance for B2B technology vendors, is scaling a model that allows sellers to get paid upfront while buyers pay over time, effectively removing the traditional tradeoff between deal velocity and cash flow.

The Structural Problem in B2B Sales

For most SaaS and technology companies, closing a deal often introduces a new constraint rather than resolving one.

Buyers prefer flexible payment terms—monthly or usage-based—while sellers typically need upfront cash to fund growth. This tension forces companies into two suboptimal choices: discounting contracts to secure annual prepayment or accepting slower, fragmented revenue streams.

Ratio’s platform is designed to eliminate that compromise by embedding financingectly into the sales process. Instead of treating billing and collections as downstream workflows, it integrates them into the initial proposal itself.

This approach reflects a broader shift toward “quote-to-cash” systems, where pricing, underwriting, payments, and financing operate within a unified workflow rather than across disconnected tools.

A Platform Built Around Embedded Finance

At its core, Ratio combines elements of payments, lending, and pricing intelligence into a single system tailored for recurring revenue businesses.

Through its model, sellers can offer flexible terms to customers while still receiving the full contract value upfront. The platform effectively advances capital based on the expected value of the contract, shifting both timing and risk away from the seller.

This model is particularly relevant for high-growth companies in sectors like AI, robotics, and SaaS, where long sales cycles and delayed cash collection can limit expansion even when demand is strong.

Introducing the AI Proposal Agent

The funding coincides with the rollout of Ratio’s AI Proposal Agent, currently in beta.

Rather than functioning as a separate layer, the agent operatesectly within the sales workflow, generating proposals that combine pricing, payment terms, underwriting inputs, and buyer intent signals into a single structure.

Its is to influence deal construction at the moment it matters most. Instead of relying on static pricing models or reactive discounting, sales teams can present terms that are calibrated to both the buyer’s preferences and the company’s cash position.

At the same time, financing is embedded into that same flow. Capital is deployed as part of the transaction itself, allowing sellers to receive cash at contract signature while buyers pay over time, without introducing separate financing steps or traditional debt structures.

This effectively turns capital into a built-in component of the product, activated automatically as deals are finalized rather than managed independently after the sale.

What Comes Next

The emergence of platforms that combine financing, payments, and AI-driven deal structuring points to a deeper shift in how B2B transactions are designed.

If this model gains traction, pricing may become increasingly dynamic at the moment of negotiation, shaped not just by product value but by risk assessment, buyer behavior, and real-time underwriting. Sales teams would no longer rely on static pricing frameworks or broad discounting strategies, but instead operate within systems that continuously adjust terms to optimize both conversion and cash outcomes.

This also introduces a structural change in how revenue is recognized and managed internally. Finance, sales, and operations functions—traditionally siloed—would need to operate on shared systems where deal terms, payment schedules, and capital allocation are tightly linked. That could reduce inefficiencies, but it also raises new questions around risk modeling, dependency on external capital, and how companies manage exposure during market downturns.

More broadly, embedding capitalectly into the sales workflow shifts control away from traditional financing channels and into software platforms themselves. As more companies adopt similar models, access to liquidity could become a built-in feature of enterprise software rather than a separate financial decision.

The longer-term implication is a move toward programmable revenue systems, where deal structure, cash flow timing, and financial risk are determined at the point of sale. How these systems perform under different economic conditions will likely shape how widely this model is adopted across the B2B landscape.