Now Entering Pipeline · Early Access

Sumo AI · Consumer Technology Support Dataset

Seven hundred fifty thousand hours of

real technical support.

Customer support audio from a global consumer electronics

company. Real customers, real devices, real troubleshooting,

recorded at enterprise scale.

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750K

Hours

6.6M+

Calls

43 TB

Raw Audio

EN · ES

85% / 15%

Why This Data

The dialogue structure models can't fake

Most customer service audio is about accounts and transactions. This corpus is about

diagnosis. A customer describes a symptom. An agent forms a hypothesis, gives an

instruction, waits while the customer tries it, hears what happened, and adjusts. The

next step depends entirely on the answer.

That loop, multi-turn, grounded, contingent on real-world feedback, is the structure

underneath every assistant that walks a human through a task. It barely exists in web

text, and it cannot be synthesized convincingly. Here it runs hundreds of thousands

of hours deep, in the casual register of real consumers working through hardware,

software, and everything between.

It is also acoustically unforgiving in the best way. Model numbers, serial numbers,

firmware versions, error codes: dense alphanumeric speech that breaks weak

transcription systems and trains strong ones.

The Dataset

Built like every Sumo corpus

Single enterprise source, full provenance, and the same human-in-the-loop pipeline

behind our legal and financial services datasets.

01

Real World

Genuine customers with malfunctioning devices, real

deadlines, and real emotion. Background noise,

interruptions, hold queues, accents, and the full arc from

frustration to resolution. Nothing scripted, nothing

acted, nothing synthetic.

02

Procedural Dialogue

Multi-turn troubleshooting at scale: symptom,

hypothesis, instruction, attempt, outcome, next step.

Device setup, connectivity, software and firmware

issues, warranty triage, subscriptions and billing. The

training signal for assistants that guide humans through

tasks.

03

Bilingual at Consumer Register

85% English, 15% Spanish, spoken the way consumers

actually talk: informal, idiomatic, emotional, and full of

product vocabulary and alphanumerics that stress-test

any speech system.

04

Entering Our Pipeline

43 TB of raw audio now moving through the same

process as every Sumo dataset: human-in-the-loop

transcription, PII de-identification, and voice

anonymization. Early access partners receive data as it

clears the pipeline and help set processing priorities.

Regulated domains taught the models formal language under high

stakes. Consumer electronics is the other half: informal speech, technical

vocabulary, and dialogue that has to actually solve something before the

call ends.

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©️ 2026 Sumo AI

©️ 2026 Sumo AI

©️ 2026 Sumo AI

©️ 2026 Sumo AI