VeViDi is the senior engineering partner founders call when they need a product built right - and someone who will be in the codebase, not just on the status call. Same architect on every engagement: founder Volodymyr Petlovy, personally, 17+ years on Ruby on Rails.
Our founder authored the V1s of MoveitPro (today 2,000+ moving companies, 40,000 daily users) and HappyCo (today 1.5M+ units under management, 100M+ inspections), working remotely from Ukraine before VeViDi existed. Since 2019 we have scaled that practice: LionWheel (1,000+ businesses worldwide, 4.8/5 on G2 and Capterra), Cliqpod's Barcelona content portfolio (Word.Tips, Crossword-Solver.io) serving 20M+ users and 200M+ pageviews a month, and NOVEM Gold, a regulated precious-metals investment platform whose buggy Rails backend we stabilized to zero error alerts for months.
How we deliver in 2026: senior judgment, AI amplification. We pair years of Rails experience with the AI tools that best serve each task. Most of our work ships under our clients' brands, and we say so up front. If your scope is a two-week tweak, we will tell you so honestly.
VeViDi is the senior engineering partner founders call when they need a product built right - and someone who will be in the codebase, not just on the status call. Same architect on every engagement: founder Volodymyr Petlovy, personally, 17+ years on Ruby on Rails.
Our founder authored the V1s of MoveitPro (today 2,000+ moving companies, 40,000 daily users) and HappyCo (today 1.5M+ units under management, 100M+ inspections), working remotely from Ukraine before VeViDi existed. Since 2019 we have scaled that practice: LionWheel (1,000+ businesses worldwide, 4.8/5 on G2 and Capterra), Cliqpod's Barcelona content portfolio (Word.Tips, Crossword-Solver.io) serving 20M+ users and 200M+ pageviews a month, and NOVEM Gold, a regulated precious-metals investment platform whose buggy Rails backend we stabilized to zero error alerts for months.
How we deliver in 2026: senior judgment, AI amplification. We pair years of Rails experience with the AI tools that best serve each task. Most of our work ships under our clients' brands, and we say so up front. If your scope is a two-week tweak, we will tell you so honestly.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
You talk to the engineer who will build it, not an account manager. We start by understanding the product, the users and the constraints, then tell you honestly what fits the timeline and what does not. If a requirement is better solved with an off-the-shelf tool, we say so before you pay us to build it.
How do you ensure alignment with client goals and business strategy?
We keep a clear division of competence. The client owns the business, the market and the product vision. We own the architecture, the code and the technical tradeoffs. When each side focuses on what it does best, competencies compound instead of diluting on low-leverage work. One named senior engineer stays across the whole engagement, so nothing gets lost in translation.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
Iterative and pragmatic. We ship a working V1 in 8 to 12 weeks and put it in front of real users, then improve from feedback. Senior judgment first, AI amplification on every task to move faster without lowering the quality bar.
How do you keep clients and stakeholders updated on project progress?
Directly, in a shared Slack channel with the engineer doing the work, with no status-call middle layer. You see commits, deploys and honest flags when something needs a real fix rather than a quick patch.
How frequently do you hold check-in meetings or status updates?
As often as the engagement needs, typically a short weekly sync plus continuous async updates in Slack. We scale the cadence to the project, not to a fixed template.
What quality assurance practices do you follow?
Automated tests on the critical paths, code review on every change, and AI-generated code is always reviewed by a senior before it merges. We measure quality by what happens in production, for example stabilizing an inherited Rails backend to zero error alerts for months.
How do you identify and manage project risks?
We surface risks early and in plain language. We name the architecture choices that will cause pain in 12 to 18 months before they are made, and we tell you which features will not fit the timeline before you sign.
What kind of support or maintenance do you offer after delivery?
Founders we ship V1s with often come back years later to scale or rebuild, so the relationship does not end at delivery. We provide ongoing maintenance, monitoring and feature work as a continued engagement.