The revealing detail in an Altoros customer testimonial is a permission slip. Its operations engineers can wake the customer’s team if a malfunctioning service will not settle down. Laurie Voss, then co-founder and COO of npm, said that had happened only once. In a business filled with promises about transformation, here was a pleasantly concrete benefit: people could sleep.
That is a useful way into Altoros. The company builds applications, supplies engineers, and helps businesses modernize software. But its portfolio keeps returning to a particular moment: a system that once made sense has become an obstacle. More customers arrive. More integrations accumulate. Somebody has to change the machinery while everybody else keeps using it.
- The work: custom applications, cloud engineering, integrations, and extra development capacity.
- The pattern: find the bottleneck, change a manageable piece, keep the business running.
- The buying question: what measurable problem will this engineering remove?
“they have permission to wake us up”
Laurie Voss / then co-founder and COO, npm
An engineer’s business, from the beginning
Founder Renat Khasanshyn’s background helps explain the preoccupation. His biography describes engineering an online insurance portal at PriMed, a regulated insurance intermediary. Insurance software has to connect a customer’s request to an institution’s rules. A clever screen is only the beginning of the job.
Altoros dates its founding to 2001. Its public offerings now stretch from web and mobile development to quality assurance, data engineering, AI, and blockchain. Customers can commission a complete build or bring its specialists into an existing team. The useful distinction is responsibility: are you buying a finished piece of work, a team, or help operating the result?
Its infrastructure credentials have a public history. The Linux Foundation listed Altoros among the Cloud Foundry Foundation’s Silver members at its December 2014 launch. In 2019, Altoros announced Pivotal’s systems integrator award for customer collaboration in the Americas. That history gives context to its continuing interest in deployment, automation, and what happens after launch.
A gym that could not close for repairs
Consider an unnamed fitness provider in Altoros’s portfolio. Paid subscriptions rose from 330,000 in 2019 to 1.5 million by 2021. Its monolithic software had become difficult to maintain and expand. Security vulnerabilities added urgency. Closing the service to rebuild it was not a useful option.
Altoros reports delivering four microservices, moving selected workloads and background jobs onto AWS tools. It also addressed authentication and automated security checks. Crucially, the engagement included teaching the customer’s engineers how to continue the migration. The platform had 6.4 million members; the initial intervention was deliberately bounded.
The transferable idea is sequencing. A business can ask which component prevents the next useful change, then make that component easier to release. Microservices introduce their own coordination burden. Splitting software makes sense when the operational benefits justify that burden; the label alone proves nothing.
Success creates an integration problem
A financial-software customer faced a different version of growth. Its currency-hedging platform initially served nine corporations. A white-labeling strategy and a major distribution relationship expanded that number to 95. Each customer brought its own internal systems. The product needed to become easier to connect and faster to customize.
Altoros’s response included a migration to Heroku and automated delivery pipelines. The case study reports releases reduced to a week, delivery accelerated by two to four times, and infrastructure maintenance expense roughly halved. Security work included encryption, permissions, and anomaly detection. These are the company’s reported results for that engagement, rather than a forecast for the next buyer.
The spreadsheet gets a replacement
In an Oslo medical ward, the troublesome machinery was a calendar. Staff arranged corporate checkups through calls and spreadsheets. Conflicts and administrative effort were already problems; pandemic pressure made them worse.
Altoros built a scheduling system that assigns slots, sends notifications, and lets patients reschedule through an emailed link. Administrators can account for doctors’ absences. The company describes capacity for up to 750,000 patients across more than 100 corporate accounts. Capacity is the relevant word: it does not establish that every one of those patients actively used the system.
The institution also considered offering the software to other medical organizations. A tool built to remove internal friction had become a possible product. That possibility explains why custom development can appeal even when the original problem sounds wonderfully unglamorous.
Put a price on the responsibility
Buying this kind of work requires more care than picking a feature list. Clutch lists a minimum project size of $25,000 and an hourly range of $50-$99 for Altoros. Its most common project band, based on 24 reviews, is $200,000-$999,999. Those figures describe the directory’s snapshot, with substantial variation in scope and duration.
A sensible brief therefore names an acceptance test: a release takes a week, an appointment can be moved, an integration survives a failure. It also names who maintains the software afterward. For a standard workflow, an existing product may be cheaper. Bespoke engineering earns its keep when the constraints matter enough to own the resulting code.
There is a management lesson here, too. An outside team still needs an inside owner who can decide priorities, answer questions, and accept the work. Without that person, a precise engineering problem can become an endless negotiation about scope. The practical advantage of a clear brief is that both sides can tell when the job is done, and when a new request is a new job.
The new repair job: AI-built software
Altoros’s current site offers AI Recovery & Scaling for applications that stumble over authentication, checkout, integrations, or unpredictable costs. It promotes senior Forward Deployed Engineers, fixed pricing, and outcome-linked compensation. The packaging has changed; the familiar subject is a business process that must work beyond the demonstration.
That puts Altoros among engineering consultancies competing with larger firms, specialist studios, and the decision to hire internally. Its case for consideration rests on connecting application development with operational work. The reader can borrow the discipline immediately: choose the failure that matters, define a visible result, and leave someone able to run the system tomorrow.