About AINGEL

Everyone's Chasing Intelligence. No One's Building Connection.

A customer says “it's fine” but means “I'm leaving.” An agent follows the script but misses the frustration. AINGEL exists to close that gap.

“We didn't set out to build another QA tool. We set out to answer a question that's been haunting customer support for decades: Why do customers leave when the conversation looked fine?”

Our Vision

“To pioneer Artificial Emotional Intelligence — AI that understands, not just responds.”

The world's biggest AI labs are building models that can code, reason, and search. But none of them are building models that can care. That's the blind spot — and that's what AINGEL exists to solve.

“The AI that understands you emotionally will be the most valuable AI of all.”

— Mustafa Suleyman, CEO of Microsoft AI

What We Believe

Our Core Convictions

Connection is measurable

When a customer says "it's fine" but their language signals frustration, that gap is data.

We turn emotional subtext into scores your team can act on. Not vague sentiment — precise, actionable emotional intelligence that maps directly to business outcomes.

Compliance alone fails customers

An agent can follow every script and still leave a customer feeling unheard.

The best QA scores in the world can't prevent churn if they ignore emotion. We measure what actually matters — whether your customer felt understood.

EQ drives revenue

68% of customers leave because of perceived indifference, not product failures.

Measuring emotional connection isn't soft — it's the hardest metric that matters. Every point of EQ improvement maps to retention, revenue, and lifetime value.

How We're Different

Built From the Ground Up for EQ

Proprietary EQ Dataset

Built on thousands of real support conversations annotated for emotional signals — frustration, deflection, cheerful abandonment. This is how we read between the lines.

Purpose-Built EQ Models

Our models are fine-tuned specifically for emotional intelligence in support conversations — detecting what customers feel, not just what they say.

Measurable ROI

Every insight ties back to revenue. See exactly which conversations put accounts at risk, which agents need training, and how much revenue you protect each month.

Why Now

The Gap Between Compliance and Connection Is Growing

0%

leave due to perceived indifference

Customer expectations have changed

Customers no longer compare you to competitors — they compare you to the best experience they've ever had. Scripted responses feel robotic.

0%

of conversations reviewed manually

Traditional QA can't keep up

Manual reviews sample 2-5% of conversations. AI-powered compliance tools check more but still measure the wrong things. Emotional context gets lost.

0x

cost to acquire vs. retain

Retention is the new growth

Acquiring a new customer costs 5-25x more than retaining one. A 5% increase in retention can increase profits by 25-95%. Connection pays for itself.

Sources: Bain & Company, Harvard Business Review

Our Team

Small Team. Big Blind Spot to Fix.

We're a small team of engineers and researchers who spent years watching support teams lose customers despite doing everything “right.” We built AINGEL to give them the one thing their QA tools couldn't — visibility into how customers actually feel.

See What Your QA Scores Are Missing