Larridin is now available through Google Cloud Marketplace. Companies now have an easy way to procure Larridin’s platform for independent AI measurement.
For organizations already buying through Google Cloud, Marketplace offers practical advantages:
Customers continue to follow their own security and approval processes, with Marketplace providing a familiar route to purchase.
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.
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:
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.
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:
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.
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.