Contact information Verified work emails, personal emails, and direct dials — unlocked in one click.
Work email
•••••@technogise.com
Personal email
•••••@•••••.com
Direct dial
+•• ••• ••• ••••
Free to start · No credit card required
Current company Technogise
IT Services and IT Consulting · 94 employees · Founded 2015 · Pune, India
At Technogise, every engagement begins with a simple question: what kind of experience will this create for the business, the users, and the teams behind it? For us, technology has never been about building software for the sake of shipping software. It has always been about solving the right business problems, reducing delivery uncertainty, and helping organizations move forward with clarity. We work as technology partners to businesses that need more than execution capacity. They need teams that understand context quickly, align with priorities deeply, and build systems designed to scale and evolve. Today, our work spans three key areas- AI Consulting: Helping organizations identify where AI can create measurable engineering and operational leverage through intelligent automation, AI-assisted product discovery, and agentic workflow design- AI-Embedded Product Delivery: Building and modernizing software systems with AI integrated across the delivery lifecycle to enable faster releases, lower delivery risk, stronger quality assurance, and more predictable outcomes- Cloud & Platform Engineering on AWS: Helping SaaS and digital-first businesses architect scalable, secure, and resilient cloud foundations built for long-term growth. What defines our approach is the combination of consulting sharpness with engineering ownership. We do not stop at recommendations. We stay to build, modernize, rescue, and evolve products alongside our clients. From product engineering and legacy modernization to DevOps acceleration and platform reliability, we operate as hands-on problem solvers accountable for outcomes, not just plans. We believe software should be clean, scalable, maintainable, and built with long-term engineering discipline in mind. Even as we embrace AI-led acceleration, software craftsmanship remains central to our DNA because sustainable engineering speed matters more than short-term velocity.