About
Surge AI
Founder
Venu Gopal Reddy Muvva
Founder, Surge Software Solutions Pvt Ltd · Principal AI Architect
- Surge Software Solutions · Founder2018 – present
- IBM · Solutions Architect2017 – 2018
- Adobe · Senior Technical Consultant2014 – 2017
- Deloitte · Consultant2010 – 2014
- Tata Consultancy Services · Systems Engineer2007 – 2010
Indian School of Business
Venu has spent close to 20 years in enterprise technology: as an engineer at TCS, a consultant at Deloitte, a senior technical consultant at Adobe and a solutions architect at IBM, designing content, marketing and integration platforms for large enterprises.
He founded Surge Software Solutions in Bengaluru in 2018 with a single bet on Adobe Experience Manager, and grew it from one person to more than 100 consultants delivering Adobe Experience Cloud implementations for enterprise clients in the US and India. Surge has been profitable every year since it started, fully bootstrapped, and its in-house training system makes freshers project-ready in 60 to 90 days.
Today he leads Surge AI: enterprise AI systems built on retrieval, agents and LLM automation, running on open-source models inside the client's own infrastructure. He designed Surge's in-house AI server and leads Shishya, the company's own AI learning platform, so that what Surge recommends to clients has first been run by Surge.
Team
A 30-member Surge AI team
- AI architects who design the stack and the agent workflows
- ML and LLM engineers for model serving, tuning and evaluation
- Full-stack and integration engineers for your systems
- Data engineers for ingestion, retrieval and quality
- Delivery and support engineers who run it after go-live
Values
How we work with clients
Your data stays yours
We default to open-source models on your infrastructure. Anything that leaves your environment is a decision you make, not one we make for you.
Working software over slides
Every engagement ends with something running and measured. Our accelerators have live demos so you can judge before you talk to us.
Plain numbers
We agree the baseline first and report against it. If a use case does not pay back, we say so in the assessment.
We run what we build
We operate our own AI server and our own AI product in production, and we support what we deliver.
Book a working session
A working session with our architects on one of your use cases. You bring a process and sample documents; we leave you with a scoped plan: model, hosting, integrations, timeline and cost range.