An AI engineering studio that ships.
DeepKlarity builds production-grade AI systems for companies that need more than demos. Founded in 2018, the studio specializes in agentic workflows, multimodal pipelines, and intelligent automation — the kind of AI that survives contact with real data.
Human + AI, together.
We don't see AI as a replacement for engineering judgment — we see it as an amplifier. Every system we build reflects a deliberate collaboration: humans set direction, define constraints, and make the hard calls; AI handles the repetitive, accelerates exploration, and catches what we miss.
This isn't about using AI to write code faster. It's about building systems where human expertise and machine capability reinforce each other — where the output is better than either could achieve alone.
About us.
Deepak Rawat
Co-founderDeepak spent 10 years building and scaling engineering teams before getting tired of watching AI projects fail for avoidable reasons. At DeepKlarity, he focuses on the unglamorous work — making sure systems actually survive contact with real data, real users, and real edge cases.
LinkedInKartik Godawat
Co-founderKartik is the person who asks "should this even be an AI problem?" before writing a single line of code. A full-stack engineer who's seen enough failed prototypes to know the difference between impressive demos and systems that work in production.
LinkedIn