Hey everyone! 👋

We’re Deepak and Hakim. Before founding Fini (YC W22), we led product and growth teams at Uber, operating at the scale of 200 million+ support tickets every year. We founded Fini believing that AI support can (and should!) be held to a higher standard than human support.

TL;DR If you run support for a bank, fintech, insurance company, or any regulated industry, chances are you’ve tried your hand at generic AI support chatbots and realized they’re not a fit. A single hallucinated response can lead to lawsuits and PR disasters, destroying customer trust you’ve worked hard to build over decades. Fini AI was built specifically for these high-stakes environments, resolving 80% of support queries with full compliance and zero hallucinations.

Support in regulated industries is broken

Companies in finance, insurance, and healthcare face a brutal trade-off:

• Scale support with humans: Expensive, hard to hire, and training takes months.
• Scale it with generic AI: High risk of hallucinations, compliance breaches, and protocol violations.

In regulated spaces, hallucinations or protocol violations aren’t just isolated bad user experiences; it’s a potential regulatory fine. A class-action lawsuit. A PR disaster waiting to happen. Because of this, most teams are forced to stick with slow, expensive manual support, leaving customers waiting even for straightforward queries.

The (accuracy) problem

If you lead a support team in a regulated industry, you can't just let an LLM loose on your knowledge base.

• Generic models prioritize "fluency" over "factuality."
• They often make up policies or promise refunds that don't exist.
• Audit trails are often non-existent or hard to parse.

You end up blind to what the AI is actually saying until it’s too late. This risk forces many companies to pull back on AI support entirely, leading to burnt-out agents and frustrated customers.

Fini solves this

We built Fini to be accuracy-first. We monitor every interaction to ensure compliance and use specialized AI agents that don’t just "chat" — they solve.

• 98% Accuracy: We hold our AI to even higher standards than human agents.
• Human-in-the-Loop: We seamlessly loop in human experts for edge cases.
• Self-learning: The AI learns from your best people whenever they intervene to solve a new problem.
• Proven Scale: We already resolve over 1 million tickets monthly for customers like the US Chamber of Commerce Foundation, Atlas, Found, and Bitdefender.

Our Asks

• Do you lead Support or CX in a regulated industry (Fintech, Insurtech, Health) and want to automate tickets without the risk? Let’s chat.
• Know a great operator? We’re hiring a Head of Growth, Product Marketing Lead, and an AI Product Manager. Please introduce them to us!