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Larridin is now available through Google Cloud Marketplace. Companies now have an easy way to procure Larridin’s platform for independent AI measurement.

Why purchase through Google Cloud Marketplace?

For organizations already buying through Google Cloud, Marketplace offers practical advantages:

  • Simpler procurement and billing through an established purchasing channel.
  • Private offers with scope and commercial terms agreed directly with Larridin.
  • Potential contribution toward existing Google Cloud spending commitments, subject to eligibility and the customer’s agreement.
  • Onboarding support from Larridin to help customers get started.

Customers continue to follow their own security and approval processes, with Marketplace providing a familiar route to purchase.

What does Larridin deliver?

Companies are making decisions today about AI budgets, hiring, software renewals, and development partners. Yet many still struggle to answer a basic question: What are we getting from our AI investment?

Knowing who uses AI and what it costs is a starting point. Leaders also need to know whether teams are delivering more work, whether quality is holding up, and whether the improvements justify the expense.

That’s the problem Larridin helps solve. Larridin provides an independent measurement layer across the AI tools, models, workflows, and teams an organization uses, giving leaders a view that isn’t tied to any single AI vendor. With Larridin now available through Google Cloud Marketplace, organizations have a simpler path to purchasing independent AI measurement.

Improving AI-powered software development

Software development makes the measurement challenge especially clear.

Companies are investing in coding assistants and agents with the expectation that teams will become more productive. Those expectations influence budgets, delivery plans, staffing, and vendor negotiations.

But if a team reports a 30% productivity improvement, what does that mean?

Are they completing more work? Delivering faster? Spending less time fixing problems? And how much of that improvement benefits the business?

These questions apply across internal teams, global capability centers, and outside development partners. Faster code generation alone doesn’t tell you whether software reaches production sooner or costs less to deliver. Review bottlenecks and rework can absorb the gains.

Larridin Developer Intelligence connects engineering performance, AI coding activity, and AI spend so leaders can examine:

  • Output and speed: What teams deliver and how quickly work moves through development.
  • Quality: Whether faster delivery comes with more defects or rework.
  • Agent effectiveness: How coding agents contribute and which practices help teams get better results.
  • Cost: How AI spending relates to engineering output and estimated returns.

Together, these measures help engineering and finance decide where to invest, what to improve, and which results warrant further investigation.

The same need extends beyond engineering. When AI saves time in sales, marketing, or finance, leaders need to understand what happens next. Does the team handle more work, improve service, or reduce a backlog? That’s where time saved becomes business value.

Answering the ROI question

AI adoption and costs have rocketed upward, and in most companies, both are still increasing. The scale of the effort and spending involved mean that AI has to be treated as a serious investment. And the question quickly follows: “What’s our return on investment (ROI)?”

Tracking ROI is tough for all kinds of investments. Tracking ROI for AI requires a three-step process:

  1. Understand where the spending is happening. Larridin provides detailed, specific AI usage and spending management.
  2. Get workflow visibility. Workflow analysis used to be a separate discipline. Larridin identifies and lists the workflows that your teams use to get things done.
  3. Tie AI spending to specific workflows. Larridin finds the role (or not) of AI in each workflow. This helps you multiply current efficiencies and find new opportunities. Larridin Workflow Intelligence speeds and automates the process.
  4. Tie workflows to the bottom line. Workflow intelligence and the overall Larridin platform interact to help organizations calculate ROI for AI spending.

Figuring out ROI for AI is one of the most perplexing questions facing enterprise management today. Larridin provides management with solid, detailed answers that help to ensure Board support for annual budgets and company growth.

Seizing the opportunity

Companies are already making commitments based on what they expect AI to deliver. They need evidence to compare those expectations with actual results and adjust their plans.

Our availability through Google Cloud Marketplace makes it easier to bring that measurement into the business—and support decisions that can’t wait.

Contact our team to learn more or request a private offer through Google Cloud Marketplace.