The people behind Emote

Meet the Founders

We are building Emote because we know what it is like to carry something you cannot put anywhere.

Emote is built by two founders who have lived the problem themselves, use the product, talk directly with users who choose to share feedback, and keep improving the product from consented feedback, bug reports, and anonymized usage signals.

Siddharth Saminathan

CTO & Co-Founder

Siddharth builds the system behind Emote: the memory, orchestration, and response infrastructure that lets the product stop treating every conversation like a blank slate.

His work is what makes Emote remember important context, separate people and patterns correctly, respond in real time, and keep improving from user feedback. He turns emotionally messy product problems into production systems users can rely on.

Master's in Statistics and Machine Learning, Linköping University, Sweden. B.Tech in Computer Science, SRM IST Chennai.

Previously: AI systems, document intelligence, and 5G cloud infrastructure in Sweden and India.

Hayagreev Sivakumar

CEO & Co-Founder

Hayagreev shapes what Emote should feel like, who it is for, and why it matters.

He leads product direction, positioning, user research, and go-to-market. His work is grounded in a simple belief: people already externalize their emotions into Notes, Reddit, ChatGPT, friends, and late-night spirals. Emote should become the place where those feelings start making sense.

Master's in Computational Neuroscience, CentraleSupélec, France. General MBA certification, STOA.

Before Emote, he founded and scaled a consumer business, learning firsthand how to build for real people and when to walk away. He brings together neuroscience, consumer product instinct, and founder-led user research to build Emote around how people actually experience and work through their emotions.

The combination

Why this team works

Emote needs someone who understands emotional patterns, nervous-system states, and why people open an app at 2am.

It also needs someone who can turn that understanding into memory systems, prompt architecture, backend infrastructure, and production fixes when real users find real bugs.

We both talk to users. We both read the feedback. We both test the product ourselves. We both know what it feels like to repeat a pattern and not know how to get out of it.

We are not building from outside the problem. We are building from inside it.

Our process

How we build

We listen first.

Many of Emote's biggest improvements came directly from users telling us where the product failed: too many questions, robotic tone, wrong memory, slow responses, crisis false positives, overpoetic language, and moments where Emote simply missed the point.

We do not treat those as edge cases.

We treat them as the product telling us what it needs to become.

That is how Emote has been built from the beginning: user pain, product failure, root-cause fix, ship, test again.

For investors

Investor corner

For investors and advisors who want to understand how Emote is performing, we maintain a product metrics dashboard covering activation, retention, session depth, returning users, power users, and engagement quality.

Product & User Metrics

Engagement, retention, activation, session depth

Experience Emote today

Built by people who know what it is like to carry something with nowhere to put it.