About Cogitait
Summary
Our Story
Founded in 2018, Cogitait emerged from a simple yet powerful vision: to make artificial intelligence accessible and impactful for businesses across all industries. What started as a small team of data scientists and engineers has grown into a leading AI consultancy trusted by Fortune 500 companies and innovative startups alike.
Our journey began with a focus on financial services and telecommunications, where we saw tremendous potential for AI to solve complex challenges around risk assessment, customer retention, and fraud detection. Our early successes—like reducing churn by 42% for a major telecom provider and improving credit scoring accuracy by 18% for leading lenders—established our reputation for delivering measurable results.
Today, we've expanded our expertise across multiple sectors including retail, insurtech, and IoT, always maintaining our commitment to practical, results-driven AI solutions that create real business value.
What we do
Empower organizations with cutting-edge AI solutions that drive measurable business outcomes, transforming data into strategic advantages while maintaining the highest standards of security, ethics, and transparency.
Why Work For Us
Work on genuine AI innovation with a team that's delivered 48% revenue growth, 71% higher debt collection performance, and caught 60% of fraud for major clients. You'll have the autonomy to shape our platform and the impact to see your work drive real business outcomes.
Our Culture
We value autonomy, trust, and ownership — giving every team member the freedom to explore ideas and the accountability to turn them into measurable results. Our culture thrives on transparency and continuous learning: from open discussions on project challenges to regular knowledge-sharing sessions where engineers, data scientists, and business analysts learn from one another.
Our Hiring Process
We believe great hiring should be thoughtful, transparent, and respectful of your time. That’s why our process is simple — just two conversations designed to help us get to know each other.
First Interview: A conversational session focused on your experience, problem-solving approach, and the kind of work that excites you.
Second Interview: A technical deep dive and cultural fit discussion with our engineering leads, exploring how you think about architecture, collaboration, and delivering value.
There are no live coding challenges or take-home assessments — we trust professionals to demonstrate their skills through discussion, past work, and practical experience. Our goal is to make the process engaging, fair, and efficient, ensuring you leave every interaction with a clear understanding of who we are and how we work.
Tech Stack
application and data



