EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners and employees.
We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.
Learn more at www.epam.com and follow us on LinkedIn.
We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise.
For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong technical foundations and embed AI into every step of the process – not just as a tool but as a mindset. It’s this approach that sets us apart, sparks bold ideas and empowers us to drive real, lasting innovation.
We’re not preparing for the future – we’re defining it.
BairesDev is your expert partner, working alongside you to build high-quality software — AI for the speed, top 1% engineers for the precision.
We mean "top 1%" literally: we receive more than 2 million applications a year and hire fewer than 1% of them. That is the standard every engineer on your team has met — 4,000+ senior engineers across the Americas and the Caribbean, in 50 countries, working in your time zone.
Since 2009 we've completed 1,200+ projects for 500+ clients — from disruptive startups to Fortune Global 500 brands including Google, Johnson & Johnson, and Rolls-Royce.
Bring us into your stack and your standards, and our engineers extend your team. Engage us for the full project, and we deliver end to end — including the AI systems themselves: agents, assistants, and data platforms running in production. And if you're still defining what an AI-native development lifecycle should look like, we have a program designed to guide it.
Bootstrapped since 2009, profitable since day one, and studied at Harvard Business School. Let's discuss what you're building →