COMPANY WIRE
JUL 2026 DEVCOM MARKS 26 YEARS IN SOFTWARE DEVELOPMENT   /   JAN 2026 AWS FTR APPROVAL ANNOUNCED FOR APPOINTMENT CONFIRMATION   /  

Company / Software Engineering

DevCom builds for the long run.

A veterinary software job that lasted 16 years helps explain DevCom’s approach to custom development: learn the workflow, fix the friction, and keep showing up.

Advertisement

In 2000, a group of graduates and scientists from Ivan Franko National University of Lviv started a software company. Their early assignment was veterinary practice management for the American market. The revealing detail is how long it lasted: 16 years. Somewhere between the first release and the last support request, a programming job became a relationship.

That is a useful place to begin with DevCom. Its current menu includes AI agents, cloud migration, mobile apps, and blockchain development. But the veterinary project offers a more concrete introduction. This is a company built around software that people have to use again tomorrow, with all the maintenance, awkward exceptions, and changing requirements that implies.

THE QUICK READ

  • Custom software, cloud work, AI integration, and teams that stay involved after launch.
  • Customers include healthcare, logistics, fintech, retail, and service businesses with complicated workflows.
  • The recurring move: connect scattered records, then automate the repetitive work.
16YEARS

The length of DevCom’s first veterinary software engagement.A project measured in calendars, not sprints.

The missing signature is the story

Consider a U.S. home-therapy provider in DevCom’s portfolio. Therapists visited patients; visits generated paperwork; paperwork made billing possible. Yet records were scattered across emails, spreadsheets, and paper logs. A completed visit could become an unpaid visit because its documentation was missing or incomplete. The clinical work had happened. The administrative evidence had wandered off.

DevCom built a central operations platform linking authorizations, schedules, clinical records, signatures, and billing preparation. Its case study reports that revenue leakage fell from approximately 8% to below 1%, while billing cycles shortened from 12-14 days to about five. These are vendor-reported results from one engagement, rather than a promise about the next customer.

ONE HOME-HEALTH ENGAGEMENTLess time between the visit and the bill.
Before
12-14 days
After
~5 days

Billing cycle · Company-reported results from one client

Then another constraint appeared. The agency owner was personally reviewing every clinical form. Free text made simple field checks inadequate: a knee in one paragraph might become a shoulder in another. Corrections could arrive days after the visit. More patients meant more reading for the person supposed to be running the business.

The next step was an AI validation layer inside the existing platform. It flags contradictions, missing signatures, and questionable visit durations before submission. A second pass approves forms without critical errors and sends exceptions to the owner. The sequence matters: first establish the record, then improve its quality, then automate part of the review. The owner remains responsible for judgment calls.

THE OPERATING IDEA

Connect the records before asking people to make better decisions from them.

A damaged car has the same problem

The setting changes in a British salvage operation handling up to 500 incoming vehicles daily. Here, the awkward handoff was between a central CRM and an online auction platform. Workers moved vehicle information between separate systems, introducing delays and errors. Auction outcomes also needed to return to the original vehicle record.

DevCom connected the systems so photos, valuations, and condition details could travel to the auction automatically, with results returning to the CRM. Historical outcomes inform comparisons between auctioning a vehicle, dismantling it for parts, and scrapping it. The pattern resembles the therapy project: connect the records before asking people to make better decisions from them.

Buy a team, keep a relationship

DevCom sells engineering services through fixed-price, time-and-materials, and dedicated-developer contracts. Its published process runs from discovery and design through development, testing, delivery, and maintenance. The technical repertoire includes .NET, Java, JavaScript, Angular, relational databases, AWS, and Azure. Customers can commission an application or add specialists to an existing team.

The commercial choice depends on uncertainty. Detailed specifications suit the fixed-price model; evolving work fits time-and-materials; an extended relationship can justify a dedicated team. Clutch lists a $25,000 minimum project size and a $25-$49 hourly range. Those are directory figures, not a quotation for a particular build. One long-running customer estimated spending around $100,000 annually and $1.7 million overall in its published review.

Buyers range from smaller businesses to international organizations across healthcare, fintech, logistics, retail, construction, and nonprofits. Renew Biomedical is one named customer: DevCom describes replacing leased maintenance-management software with a work-order system, customer portal, and reporting tools. Earlier due diligence examined workflows and interviewed stakeholders before recommending a custom internal system. That assessment supplied the argument for changing the software.

An internal engineering hire, another development consultancy, or an existing software package can all compete for the same budget. DevCom’s case rests on continuity across discovery, implementation, and support. That suits workflows whose exceptions matter enough to justify custom work. A standard package may be the better purchase when the process is ordinary and configuration solves the problem.

The people who remember why

Headquartered in Florida, with engineering roots in Lviv, DevCom marked its 26th anniversary in July 2026. Founder and CEO Dima Semensky’s advice is blunt: “Focus on a problem space before investing into solution.” It is an unusually useful sentence to take into a software purchasing meeting.

Dima Semensky, left, in a podcast conversation with Carrie Charles
Two microphones. One useful rule: understand the problem first. Dima Semensky, left, with Carrie Charles. Photo: DevCom.

The company’s own history supplies a clue to its working culture. In 2020, it reported that 45% of employees had been there for seven to 20 years. Seven people were celebrating two decades with the business. It also had a band called “Once a year.” A development firm with a house band may understand the value of rehearsing together.

DevCom colleagues gathered in a courtyard beneath colorful bunting
Getting everyone into one frame: the original coordination problem. A DevCom team gathering, from the company’s About page. Photo: DevCom.

The more consequential rehearsal is testing. In a December 2025 account, a DevCom QA engineer described management wanting to accelerate a release by skipping tests. The engineer proposed a regression suite focused on critical areas affected by the change. It caught severe bugs, according to the company’s account. A narrower test plan made the case for keeping testing in the schedule.

The medical-equipment assistant also shows what an implementation actually involves. It combines semantic search of technical manuals with structured information from earlier service jobs. When a technician opens a job, the device model and reported issue provide context. The useful work is assembling those sources inside the service-management system, where the technician can act on them. For buyers, that points to a practical discovery question: which existing information would make the next decision easier, and who should check the recommendation before anyone follows it?

DevCom’s newer credentials include ISTQB Certified Partner status and an AWS technical review approval for an appointment-confirmation solution, announced in January 2026. Its medical-equipment AI assistant offers another practical boundary: technicians receive guidance from internal manuals and repair history while retaining control. This approach depends on usable records and a client willing to make workflow decisions. Automating confused ownership simply moves the confusion faster. The transferable lesson is pleasantly unglamorous: find the handoff that loses information, fix it, and measure what happens next.

Follow the work