A bank technology executive heard a joke about an endlessly squeezed IT budget. Years later, David Harding is still working on the arithmetic behind it - now as co-founder and CEO of MagicOrange.
After years building systems at PayPal, Suresh Mathew set out to spare other engineers the work he had grown tired of doing. Sedai became a test of whether software could earn the right to leave people alone.
Sam Booth built Just After Midnight to keep digital businesses running while their teams went home. After selling it, he returned with a different question: which parts of the cloud should be running at all?
The company pairs its own software with the people who put it to work. Its most revealing stories begin with an unruly cloud bill and a price prediction that kept getting things wrong.
The former catalog reseller now sells the work that follows the purchase: securing systems, untangling cloud bills, and keeping a growing business running.
Buying cloud technology is easy. AllCloud takes on the harder job: connecting AWS, Salesforce, data, and AI to the work a business actually needs to finish.
Before a business can ask its data smarter questions, somebody has to fix the plumbing. Anblicks has built its business around that unglamorous, consequential job.
A cloud bill can tell you what you spent. DiscoverCloud pairs its own tools with engineers who help decide what to change - and then help change it.
A cheaper server is only the beginning. DoiT pairs cloud-cost software with engineers to answer the harder question: what does it actually cost to serve a customer?
For companies running Oracle, the expensive question is what to keep, what to move, and who will answer when it breaks. Data Intensity has built a business around all three.
The cloud made spending easy. FinOps Foundation built a common language for the people left explaining the bill. Now AI is putting that language to work in new places.
A DVD-tracking app, a Maryland coffee shop, and a career spent making complicated systems easier to use. Kion’s co-founder has changed titles, but the practical questions still suit him.
IBM’s new AI Value & ROI preview puts the token bill beside the business result. The harder job is proving that faster work, lower costs and better decisions survived contact with the accounts.

After nearly 28 years at Flexera, Jim Ryan has handed over the CEO role. His career connects two stubborn problems: companies that cannot see what they spend, and students who cannot see how to pay for college.

He learned algorithms before he owned a computer. From database research to Keebo and self-verifying AI, Barzan Mozafari has kept asking how much work a machine can spare its user.
A popular feature can be a terrible business. CloudZero connects cloud and AI spending to the customers, products, and decisions behind it - so engineers can see the difference.
Oversized cloud disks are insurance against a very bad evening. Lucidity’s wager is that software can provide the safety without charging rent on all that empty space.
Cloud engineers have excellent reasons to reserve too much computing power. ScaleOps sells a way to change that habit without making production the experiment.
Cloud discounts usually demand a prediction about the next three years. North built a business around a more human admission: you might change your mind.
A cloud bill, a biomedical shipment, a legal form: WebKorps builds software for the places where ordinary business becomes awkward. Its most useful lesson is about the work that happens before the coding starts.
A spreadsheet with more than 20 tabs offers a clue to Ternary’s appeal: technology spending gets easier to govern when the people making it can see what they are doing.
Kubernetes made infrastructure shareable. Kubecost made the spending attributable - and built a business around the awkward question of who should pay.
A hundred thousand cloud resources can make a company remarkably modern and remarkably confused. CoreStack sells the missing discipline: a way to connect every resource, risk and dollar to someone responsible.
A six-minute data load, a $50 million deskside contract, and a workforce built around military veterans. VSO makes its case in the places where grand cloud promises meet ordinary working days.
CloudHealth began with a question most companies ask too late: who is paying for all these servers? Its answer grew from a two-customer experiment into a $495 million VMware acquisition and a tool for the age of AI bills.
Cloud engineers are paid to fear surprises. Sedai built a business by asking them to let software change production anyway - one reversible, measurable step at a time.
The systems integrator is buying expertise, assembling infrastructure and handling the unglamorous details of enterprise technology. Its next test is keeping the personal touch as the business gets bigger.
At Kurtosys, Cloudreach identified 39 applications to move and 19 to retire. That tells you more about this cloud consultancy than a wall of partner badges ever could.
Every year, IT is asked to do more with less. MagicOrange follows the money through cloud bills, shared services and AI workloads to make the next budget argument a little harder to bluff.

Before he sold software for unruly data systems, Keith Alsheimer trained soldiers, patented a visual method for teaching cleaners, and built a procurement company from scratch. The connecting idea is surprisingly consistent: make complicated work clear enough that people can act.