Software Mind is a global software services company that helps enterprises build and modernize technology across AI, data, cloud, and industry-specific applications. Founded in Kraków in 1999, the company has expanded across the Americas and Europe while evolving from custom software development toward repeatable solutions built on decades of engineering work. Pulse 2.0 interviewed Oliver Ray, CEO and Chief Delivery Officer Americas at Software Mind, to learn more about his background, the company’s “service as software” strategy, and how AI is changing what enterprises expect from technology partners.
Oliver Ray’s Background
When asked about his background, Ray shared:
I lead the Americas for Software Mind, which means I support our teams on both the sales and delivery sides and spend most of my time thinking about where our clients are headed next.
My background is in technical product management. I am not a hands-on coder. I built my career on understanding how technology fits together, what it is worth to a business, and how to help non-technical stakeholders see why an investment matters.
Before Software Mind, I held roles at Humana and Milliman focused on that same intersection of technology investment and business outcomes.
That lens shapes how I see our company. Software Mind is a services company at its core, but AI is changing what clients expect from a services partner.
We are evolving toward repeatable, industry-specific solutions built on the engineering work we have done for years. That shift inevitably runs through cloud and data, so we are becoming an AI, data, and cloud-first organization, with business value as the driver behind every offering we bring to market.
Favorite Memories
When asked about his favorite memories working for Software Mind, Ray said:
It is hard to pick one. The moments that come to mind first are when someone mentions, almost in passing, a major initiative one of our teams is leading at a client.
Those moments never lose their weight for me. When a client hands you responsibility for a system at the heart of their business, or names one of your people as the person they depend on most, that is not something you take for granted. It is trust that has to be earned continuously.
What makes those moments possible is the caliber of the people we bring to the table. The depth of talent and insight across Software Mind is what allows clients to place that level of confidence in us, and getting to see that play out again and again is the best part of this job.
The other memories that stand out are the times we get together as a team somewhere in the world.
Whether that is here in the States, in one of our Latin American offices, or across Europe, the face-to-face time matters.
We are a globally distributed company, and those moments are what make it feel like one team.
Core Products And Services
When asked about Software Mind’s core offerings, Ray explained:
Software Mind is a services company. It always has been and likely always will be.
But the rise of AI has pushed us to make our offerings more solution-driven, so clients can see the direct value our engineering brings without having to translate it themselves.
Anyone who has done real work with AI learns quickly that cloud and data foundations determine whether AI adoption succeeds.
We see those three areas converging in nearly everything we deliver, and we see growing demand for industry-specific solutions that help clients compete in their own markets rather than generic technology projects.
The best way I can describe where we are today is service as software.
We take the repeatable outcomes and foundational code we have built over years of client work and package them so clients get more done with smaller teams and shorter timelines.
We are builders. Our job is not to advise from the sidelines but to put running systems in clients’ hands and stand behind the outcome.
Adapting To The Speed Of AI
When asked about recent challenges in the technology sector, Ray said:
Like everyone in technology, we feel the velocity of change AI has brought. I would not call it a blocker. It has forced us to change ourselves, and that has been healthy.
The biggest shift is that AI has pulled business and industry drivers directly into technology initiatives.
Clients no longer separate the two, which raises the bar for our delivery teams.
Being tied that closely to a client’s business drivers is good for us. It means we can hire great people, deliver larger outcomes, and stay at the forefront of what clients across industries actually need.
The pressure is that we have to earn that position continuously.
Ray said Software Mind has responded in two primary ways:
First, we created a role we call the Client Solutions Architect, or CSA, someone who sits at the intersection of industry trends and technology trends and knows our internal accelerators, frameworks, and tooling across data, cloud, and AI.
Their job is to get clients to meaningful outcomes with the smallest team in the shortest time.
Second, we rethought how engagements begin.
We get hands-on as early as possible, running co-working sessions with clients from day one so we are aligned on the outcomes they need before we write a line of code.
How Software Mind’s Technology Has Evolved
When asked how the company’s technology has evolved since launching, Ray explained:
Software Mind was founded in Kraków in 1999, so we have lived through every major shift in modern software.
We grew up building custom systems for telcos and financial institutions, evolved through the outsourcing and agile eras, and became early practitioners of cloud-native engineering and modern data platforms.
Each wave added a layer of capability we still draw on today.
The current chapter is the most significant.
AI has changed the shape of the work itself.
We have organized our engineering strength into capability areas across cloud, data, and AI, and we have invested in internal accelerators and frameworks that let us start client engagements from proven foundations rather than a blank page.
Just as important, we have redoubled our focus on organizing the company around specific industry verticals.
Technology capability alone is table stakes now.
What clients need is a partner that brings deep domain knowledge to the conversation from day one, so we are structuring ourselves to put that industry expertise at the forefront of every engagement.
The through line across 25-plus years is the same. We build systems that run at the technological heart of our clients’ businesses.
What has changed is how quickly we can get there, how well we understand the industry context around the work, and how much of the outcome we can take responsibility for.
Key Company Milestones
When asked about Software Mind’s most significant milestones, Ray highlighted:
The carve-out from Ailleron and the investment by Enterprise Investors in 2020 gave us the capital and the mandate to grow globally.
Since then we have completed a series of acquisitions across three continents, including Poland, Romania, Moldova, Latin America, and the United States, which expanded both our talent base and the industries we serve in depth.
Entering the Americas in a meaningful way was a milestone I am personally close to, since I joined through that expansion.
Today roughly half our business is connected to this region, and we operate as one global team of engineers across the Americas and Europe.
Ray said another milestone has been less visible, but particularly meaningful:
The milestone I am most proud of is less visible from the outside.
It is the shift in what clients ask of us.
We have moved from being a partner clients hire for capacity to a partner clients trust with outcomes.
That change in the nature of the relationship matters more to me than any single transaction.
Customer Success Stories
When asked about customer success stories, Ray explained:
I have to be careful with names, since much of our work sits deep inside clients’ core systems.
But I can describe the pattern we see repeatedly.
A financial services client came to us with an AI ambition and quickly discovered, as most organizations do, that their data foundation could not support it.
We rebuilt the foundation and delivered the AI capability on top of it, and the combined work paid for itself in operational savings before the AI use cases even matured.
In telecom, we have engineers so embedded in clients’ platforms that our people are the primary owners of systems serving millions of end users.
And we have long-running partnerships where clients have scaled with us for a decade or more, which I consider the strongest success story a services company can tell.
The common thread is that we are accountable for a running system in production, not a set of recommendations.
That is where the trust comes from.
Funding And Growth
When asked about funding and revenue metrics, Ray said:
We are privately held, so I will stay directional.
Software Mind is backed by Enterprise Investors, one of the largest private equity firms in Central and Eastern Europe, alongside Ailleron, which is listed on the Warsaw Stock Exchange.
That backing has funded both strong organic growth and our acquisition strategy.
What I can say is that the business has grown substantially since the 2020 investment, both in revenue and in scale.
We are roughly 1,600 engineers across the Americas and Europe today, and the Americas has become one of our largest and fastest-growing markets.
Our AI, data, and cloud practices are the fastest-growing parts of the portfolio, which reflects where our clients are investing.
Market Opportunity
When asked about Software Mind’s total addressable market, Ray explained why the company does not focus on one overall figure:
Rather than chasing a single TAM figure, we think about the market in terms of verticals.
Telecom, financial services, media, iGaming, and life sciences each have their own modernization curve, their own regulatory pressures, and their own pace of AI adoption.
Sizing them as one number obscures more than it reveals.
What matters is where each industry sits on its curve and what it takes to move.
Telecom is a good example of why we see it this way.
It is a market under real pressure to adopt 5G, AI-driven operations, and cloud-native infrastructure, and providers that do not move will fall behind on both cost and customer experience.
That is an enormous amount of engineering work concentrated in a single industry, and it looks nothing like the modernization happening in life sciences or the pace of innovation in iGaming.
Every one of those curves has a common denominator.
It runs through AI, and AI runs through cloud and data foundations.
So while I will not put one number on it, I will say the addressable opportunity in the verticals we serve is expanding, not contracting, and our focus is on the enterprises within them that want a partner to build and own outcomes alongside them.
Competitive Differentiation
When asked what differentiates Software Mind from its competition, Ray said:
We are builders, not advisors.
Plenty of firms will assess your AI readiness and hand you a roadmap.
Our instinct is to get hands-on in the first week, co-work the problem with your team, and put a running system in production.
Then we stand behind the outcome.
Ray highlighted three factors supporting that approach:
Three things make that possible.
First, depth in the industries we serve, so we arrive understanding the business drivers, not just the technology.
Second, the accelerators, frameworks, and foundational code we have built over 25-plus years, which let small teams deliver outcomes that used to require large ones.
Third, a global talent model spanning the Americas and Europe that puts strong engineers in the right time zones at the right economics.
The result is a different kind of relationship.
Clients do not hire us for effort.
They hire us for outcomes, and our commercial confidence reflects that.
We are willing to tie our success to theirs.
Future Goals
When asked about Software Mind’s future goals, Ray explained:
Our ambition is simple to state.
We want to turn our clients’ industry ambition into running systems that pay for themselves, and be accountable for the outcome, not just the build.
Practically, that means three things over the next few years.
We are deepening our organization around the industries we serve, so clients work with teams that speak their language from day one.
We are scaling our AI, data, and cloud solutions into repeatable offerings, moving further along the path from services toward service as software.
And we are continuing to grow in the Americas, which I believe will remain the most dynamic market for the kind of outcome-driven engineering partnership we offer.
Underneath all of it is a people goal.
The companies that win the next decade will be the ones that attract engineers who want to own outcomes, not just complete tickets.
Everything we are building is designed to be that kind of home.
Why Context Could Be The Durable Advantage In AI
When invited to discuss another topic, Ray highlighted the importance of business context as AI models become increasingly accessible:
One thing I would leave readers with.
The AI conversation focuses heavily on models, but models are becoming a commodity.
The durable advantage is context.
The organizations that win with AI will be the ones that own their data, understand their workflows deeply, and build systems grounded in the specifics of their business.
That is where we spend our time with clients, and I think it is the most underrated idea in enterprise AI right now.
Ray also emphasized the human side of the transition:
I would also say the human side of this transition deserves more attention.
AI raises the ceiling on what a great engineer can deliver, and it raises the bar on what clients expect.
The firms and the people who lean into that, rather than defend against it, are going to do very well.
