We build practical AI systems for schools, colleges, clinics and small businesses — not experiments. Our focus is on automations and assistants that reduce admin hours, improve response times, and convert more enquiries into customers or students. We combine modern AI models with secure integrations, human-in-the-loop processes, and measurable KPIs so you get results, not just demos.
Build AI systems that are useful, secure, and adopted.
Practicality: deliver measurable outcomes in weeks.
Safety: human-in-the-loop and strong data controls.
Transparency: clear pricing, scope, and metrics.
Partnership: we become an extension of your team.
Leadership and delivery team.
Co-Founder
Aman has a strong foundation in AI technology with various projects ranging from translation models, prediction models and image classification. With 8 years of experience in automating workflows and building scaleable solutions for multiple clients from banking, transportation and education domains, Aman has delivered very high impact solutions that have resulted in significant cost savings and efficiency improvements.
Co-Founder
Suraj Patel is a seasoned technology leader with over 8 years of experience in software development and AI. He has a strong background in building scalable and secure AI systems, with expertise in natural language processing, machine learning, and data engineering. Suraj has successfully led the development of several AI-powered products and solutions across various industries, including healthcare, finance, and education.
Senior AI Solutions Architect
Sanjana Yadav is a dedicated AI Researcher at electit and a current PhD scholar specializing in the critical intersection of Explainable AI (XAI) and healthcare. Driven by a mission to make complex artificial intelligence systems more transparent, trustworthy, and effective in medical settings, she transitioned from a successful career in academia to pursue her research full-time. Holding a Master's degree in Computer Science, Sanjana previously served as a Professor of Computer Science, where she honed her technical expertise and ability to communicate complex computational concepts. Her unique blend of academic leadership and cutting-edge industry research positions her at the forefront of developing ethical, understandable AI solutions for the healthcare sector.