About Srasks
AI engineering designed for the real world
Srasks is an AI engineering studio that builds intelligent systems designed to solve real operational problems. We help businesses turn their data and workflows into reliable, production grade AI products that deliver measurable impact.
Our focus is clarity and execution. In a space that can easily feel confusing, we simplify complex ideas and build solutions that actually work in real environments.
Mission
We aim to help organizations enhance performance, streamline operations and unlock new levels of efficiency using practical and transparent AI systems.
Vision
We imagine a future where companies of every size use AI as a core part of their daily operations. Srasks exists to make advanced AI accessible, useful and aligned with real business goals.
Our story
Srasks started with a simple observation. Many teams want AI, but very few know how to implement it in a way that reaches production and creates lasting value. After working across research, automation and engineering, we saw a pattern of incomplete prototypes, unclear roadmaps and solutions that never launched.
Srasks was created to fix this gap. We focus on practical engineering, strong communication and solutions that ship quickly while staying reliable over time. Today, we help companies transform unstructured data and complex workflows into AI systems that create tangible results.
Meet the founders
Srasks is led by a team that combines product thinking, operations experience and deep technical expertise in AI engineering.
Shivani Rudramaina
Founder and CEO
Shivani leads Srasks with a focus on practical impact, thoughtful execution and strong partnerships. She ensures that every project delivers value grounded in real operational needs.
Abhishek Singh Kushwaha
Co founder and CTO
Abhishek guides the technical direction of Srasks with expertise in AI engineering, automation and system design. He builds solutions that are scalable, efficient and ready for production.
What drives us
We believe that great AI is built through three simple but important principles. Technology should make work easier and faster. Engineering should be precise and grounded in data. The result should be real improvement for the teams that use it.
- Simplicity. Technology should reduce friction and complexity.
- Precision. Systems are designed with care for data, accuracy and reliability.
- Impact. Success is measured by the improvements our clients achieve.