Built by engineers,
for builders
We're a team of 24+ engineers, data scientists, and product thinkers who believe great AI changes the world.
We turn complex problems into elegant solutions
Founded in 2021, Akshino has grown from a two-person startup into a 24-person team building AI-powered software for clients ranging from early-stage startups to established enterprises.
We believe the best AI systems are built through tight collaboration with the people who'll use them, full transparency about what a model can and can't do, and a relentless focus on outcomes — not just shipped features.
Our engineers work across the full stack of applied AI: data pipelines, model training, and the production infrastructure that keeps a model reliable long after launch. We've delivered machine learning and automation systems across a range of industries, and we're still growing.
2021
Founded
24+
Team Members
200+
Projects Shipped
15+
Industries Served
The principles that guide us
Responsible AI
We're upfront about what a model can and can't do — its accuracy, its blind spots, and where a human should stay in the loop. No black-box promises, no overselling what AI can deliver.
Rigorous Validation
We test every model against the business outcome it's meant to improve, not just an offline accuracy score, and keep monitoring it in production so drift gets caught before it costs you.
Outcome Focus
We measure success by the decisions your AI improves — fraud caught, hours saved, demand predicted correctly — not by deliverables checked off. We're your partner, not a vendor.
Long-term Thinking
We build for maintainability on both fronts — code that's easy to extend and models that keep performing as your data evolves. What we ship today should still be serving you in 10 years.
Meet the team behind Akshino
Kathirgamanathan S
Co-Founder & CEO
Sets Akshino's AI strategy and leads client partnerships, from first pilot to full-scale rollout.
Raj Patel
CTO & Co-Founder
10+ years building ML infrastructure at scale, from research prototypes to production inference.
Sofia Marchetti
Head of Product
Turns ambiguous business problems into scoped, model-ready product requirements.
Daniel Okafor
VP Engineering
Leads the engineering teams shipping training pipelines and production ML systems.
Yuki Tanaka
Lead Designer
Designs interfaces that make model predictions and confidence scores clear to non-technical users.
Chris Brennan
Head of Delivery
Runs delivery across every AI engagement, from pilot to production and post-launch model monitoring.