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 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.
Most FinOps tools tell a company where the money went. PointFive wants to show the engineer who owns the waste, ship the fix, and prove the savings - from an idle cloud volume to a runaway coding agent.
Most cloud tools can point at waste. Kubex is betting that the valuable part is changing production safely - and that a 27-year-old analytics company can teach Kubernetes to tune itself.
The Seattle startup raised $26 million to move development off laptops. Then its own cloud margins revealed a better product: software that cuts Kubernetes and AI waste without making reliability the price of admission.
Alejandro Planas spotted the cloud's hidden catch early: renting infrastructure was easy, but running it safely and economically was not. Thirteen years, 19 countries and a majority acquisition later, Escala 24x7 has turned that gap into an enterprise cloud-operations business.
Avahi has built a business around the least glamorous part of the AI boom: making pilots survive contact with production. Its bet is that AWS fluency, fixed-scope experiments and a growing managed-services practice can turn corporate curiosity into systems that actually work.
For nearly five decades, a quiet software company near Stuttgart has been helping big organizations tame the IT sprawl no one else wants to touch - and it just landed a Thoma Bravo backer to do more of it.
Cifrato is a Colombian, Y Combinator-backed (W25) startup building an AI accountant for accounting firms and retail businesses across Latin America. Its AI agents run end-to-end accounting workflows - pulling electronic invoices straight from tax authorities like Colombia's DIAN, classifying them, applying taxes, reconciling payments, and pushing accounting-ready data into ERP and POS systems. Founded in 2025 by Juan Pisco and Yerson Cacua, the company reached roughly $1M ARR and processed over a million invoices for 270+ clients within its first year.
Mesh is a San Francisco fintech building AI agents for accounting teams. Founded in 2025 by Erin Kim and Nandini Ramakrishnan - who together scaled Carta's fund accounting business from $20M to $100M in ARR - Mesh automates the slow, spreadsheet-heavy parts of the close: bank reconciliation, accruals, and journal entries. It pulls real-time signals from AP inboxes, Slack, Teams, and historical journals to draft audit-ready outputs and cut month-end close by several days, with a chat interface that lets founders ask questions about their financials in plain language. Mesh is backed by Y Combinator's Winter 2025 batch.