Co-founder
About Trellient, the AI automation partner for SMBs
Trellient is an AI transformation partner for non-tech businesses — manufacturers, retailers, clinics, and service firms.
A structure, not a slide deck.
Our vision
Trellient installs the structure — frameworks, automation and AI systems — that lets non-tech businesses grow beyond what they could carry alone.
The problem
Small businesses know AI matters but don't know where to start. Off-the-shelf tools don't fit their workflows, consultants cost too much, and most AI pilots fail because nobody owns the implementation.
Our approach
An embedded AI partner: audit the operations, find the highest-ROI automations, implement them, train the team, then measure and stay on.
What sets it apart
The Trellient framework — a readiness and data audit before any build. It is the direct answer to why most pilots fail, and what separates us from template-driven automation work.
The name
Trellis + resilient.
A vine doesn't grow tall because it tries harder — it grows because someone gave it a structure to climb.
Trellient is that structure for a growing business: frameworks, systems and automation that carry weight the business couldn't carry alone — clean data, one owned workflow, a number reported every month. And it is resilient: built to hold in the bad seasons too, through staff changes, busy months and the weeks nobody has time to babysit an experiment.
Why now
The gap is putting AI to work.
Interest in AI is high; putting it to work inside day-to-day operations is still rare. That gap is the work we do.
95%
of generative AI pilots showed no measurable P&L return.
Source: MIT NANDA, State of AI in Business 2025 (via Fortune)~7–9%
of India's 63M+ MSMEs are using AI today.
Source: Noisiv Consulting, AI adoption in Indian MSMEs (2026)48%
of Indian MSMEs struggle with data readiness.
Source: Noisiv Consulting, AI adoption in Indian MSMEs (2026)60%+
client churn for project-only automation agencies, against 25–30% with managed retainers.
Source: Cognival, AI automation agency business model (2026)Principles
Three we won't trade.
Rules that decide what we build, what we refuse, and how we measure it.
Outcomes over tech
You pay for saved hours and new revenue. The model we use is an implementation detail, and we will happily use no AI at all where a rule does the job.
Start small, prove value fast
One workflow, first win in 30 days. A small result you can verify beats a roadmap you have to believe in.
Teach, don't gatekeep
Your team keeps the value after we leave. We document what we build and train the people who use it daily.
The team
Meet the founders.
A small founding team, on purpose: the people who scope the work are the people who build it. We are early, and we would rather prove results on a few engagements than promise them on many.
Co-founder