Pump.co is entering a new chapter with a different kind of story to tell. The company has already proven it can help businesses reduce cloud costs, but CEO Spandana Nakka does not want Pump to be only as a savings product. She sees that work as the beginning of a much larger shift in how companies manage cloud operations.
The company has spent about three years building around cloud cost optimization and now works with roughly 1,500 customers. Those customers save about 20 percent on average, according to the company. Pump also supports companies representing more than $600 million in annual cloud spend and has helped thousands of businesses save millions across cloud and AI costs.
Those numbers give Pump credibility, but they are not the whole point. The company's leadership believes the market needs to see Pump less as a tool for one budget line and more as an AI infrastructure company built for a much larger category.
"Cost optimization was not the whole thesis," Nakka says. "It was the first proof point. Once you understand a customer's cloud environment deeply enough to help them save money, you start to see how many other operational decisions could be improved with the same intelligence."
Cloud operations have long been difficult because no two companies run the same way. Each environment reflects the product, customer behavior, database setup, compute needs, security requirements, and growth pattern of that business. One company may be consumer-only. Another may serve enterprise customers. Another may run AI workloads that change usage patterns quickly.
That level of variation has created a large services market around cloud management. Companies rely on internal DevOps teams, large consulting firms, specialized cloud agencies, and smaller DevOps shops to understand their infrastructure and recommend changes. The work is valuable, but it can also be slow, expensive, and heavily manual.
"Every company thinks its cloud environment is complicated because it is," Nakka says. "That is why so much of this work has historically gone to human experts. The challenge is whether AI can learn enough about each environment to make that work faster, smarter, and more continuous."
Pump knows that it can. The company began with automated savings because the outcome was direct and measurable. Pump Save helps automate cost optimization across AWS, GCP, and Azure. Pump View gives teams visibility across cloud and AI tools, including OpenAI, Anthropic, Cursor, GitHub, Datadog, and ClickHouse. Pump Secure monitors infrastructure against more than 30 compliance frameworks.
The product suite still matters, but Nakka's broader point is that these are pieces of a larger operating system. Cost, visibility, security, AI usage, and cloud commitments are often treated as separate categories. For a company running modern software, they are connected.
"A cloud bill is not just a finance document," Nakka says. "It is a record of product decisions, engineering decisions, architecture decisions, and growth decisions. If you can understand that record, you can help the company operate better."
That is where the AI-run DevOps vision comes in. Pump is an AI layer that helps companies manage more of the operational work across cloud environments. That includes forecasting usage, finding waste, monitoring spend, managing commitments, tracking AI inference costs, and supporting security posture.
The timing is important. AI has accelerated product development. That speed also changes the pressure on infrastructure teams. Usage can move quickly, providers can multiply, and costs can shift before finance or engineering has a clean explanation.
"AI has made software teams more ambitious," Nakka says. "That is exciting, but it also raises the standard for cloud operations. You cannot move fast on the product side and accept slow, fragmented infrastructure decisions everywhere else."
Pump's background helps support that claim. The company is backed by Y Combinator. Forbes called it the "Costco of Cloud Compute." It holds Advanced Tier Partner status with AWS, GCP, and Azure. Its team includes experience from companies and institutions such as Google, Amazon Web Services, BlackRock, HashiCorp, Scale AI, Stanford, and Berkeley.
Still, the next phase will not be won by credentials alone. Pump shows that the intelligence it brought to savings can expand into deeper infrastructure decisions. It has to prove that AI can understand the unique shape of each cloud environment well enough to make DevOps less reactive and more automated.
"The first question was whether we could create measurable savings," Nakka says. "The next question is whether we can apply that same intelligence to more of the decisions companies make every day about infrastructure."
For Pump, the repositioning is not a rejection of its first product. It is an admission that the first product revealed a larger market. Pump is not trying to walk away from savings. It is trying to prove that savings were the earliest signal of a larger problem: cloud operations have become too complex to keep managing the old way.
For more information, visit Pump.co.
