About
Hi, I'm Ankit — Founder, SolveAI Labs
15+ years as a Software Engineer, now building practical AI agents that help businesses automate and grow.
Cognizant
Deloitte
Accenture
15+ years as a Software Engineer, now building practical AI agents that help businesses automate and grow.
I've spent the last 15 years as a software engineer working across some of the largest IT services companies in the world — Cognizant, Deloitte and Accenture — building and shipping systems for enterprise clients across industries. That's where I learned how real businesses actually run: the messy workflows, the manual handoffs, the spreadsheets duct-taped to processes that were never designed to scale.
Somewhere along the way, large language models stopped being a curiosity and started being a genuine unlock. I got deeply interested in AI — not the hype around it, but what it could actually do when pointed at a real business problem. So I started applying everything I'd learned in enterprise software to building AI agents: systems that read documents, move data, write content, talk to APIs, and quietly do the work that used to eat up hours every week.
SolveAI Labs is where that comes together. It's me, building and documenting real AI agent builds — not theory, not slideware — and helping businesses (and other builders) put AI to work in ways that actually move the needle.
Built and maintained enterprise software across multiple industries — the foundation for understanding how businesses really operate at scale.
Started applying AI and LLMs to real business problems — automating workflows, building agents, and exploring what's actually possible beyond the hype.
Building AI agents and tools for businesses, while documenting every build publicly so others can learn and build alongside me.
There's no fixed package here. Every business is different, so the engagement is too — a mix of consulting, building, and training, based on what actually moves you forward.
We look at your current workflows and figure out exactly where AI can save time, cut cost, or unlock something you couldn't do manually.
End-to-end agent development — from scoping the workflow to deploying a working AI system that runs in your business, not a demo.
For teams who want to build in-house — practical, no-fluff guidance on tools, prompting and integrating AI into existing systems.
The common thread is simple: take a real, repetitive or manual business problem and solve it with the right mix of AI and automation — whatever tools fit best.
Custom agents that handle document processing, content generation, data entry and decision support.
Connecting the tools you already use — Sheets, Gmail, CRMs, APIs — so work moves without manual steps.
End-to-end systems built around how a specific business actually operates — not generic templates.
Picking and wiring up the right mix of AI models, APIs and tools for the problem — not married to one stack.