Enhance in-car infotainment with speech

Our quality-focused approach to speech collection focuses on proper distribution to defeat algorithmic bias so that every user is heard.

15%

more

Customers are willing to spend up to 15% more on a car for a state-of-the-art infotainment system.

70%

of millennials

Nearly ¾ of millennials consider enhanced infotainment features as ‘must-haves’ when purchasing new vehicles.

Spontaneous speech collection

Train in-car virtual assistants to understand real human speech.

Audio transcription

Build the foundation of speech recognition models with highly-accurate transcriptions.

Listening tests

Collect valuable insight on the naturalness of a virtual assistant’s utterances.

Develop predictive maintenance

We teach models to process a wide array of input types so they can monitor critical assets and flag small issues before they snowball into critical failures.

20%

less downtime

Automakers with predictive maintenance programs in place experience 160 fewer hours of equipment downtime per year.

$630

billion saved

Market analysts expect predictive maintenance will save manufacturers between $240-$630 billion per year in the next decade.

Audio collection & validation

Train models to listen for mechanical anomalies.

Multimodal data collection

Enable models to process a large range of datatypes to understand overall asset health.

Image collection & validation

Teach models to watch for small signs of minor malfunctions.

Build autonomous vehicles

Our computer vision and multimodal workflows build the foundations for automated driver assistance.

$1

trillion

Experts project a market value of $1 trillion for autonomous vehicles in supply-chain logistics.

40%

cost reduction

Autonomous vehicles stand to lower freight-shipping costs by as much as 40% per kilometer.

Object tracking

Train models to recognize and follow moving objects.

Image tagging

Enable models to identify certain objects present in images.

Image classification

Teach models to sift through large swaths of images/videos.

Success stories

For this project, Mastercard’s R&D Labs needed unique, multi-lingual text data that covered 20 designated payment

Keeping a nation’s lights on means constantly inspecting electricity poles for damage. Before EDP partnered with

When a global electronics maker came to DefinedCrowd with the goal of building more inclusive facial-recognition

In the arms race for speech-enabled technologies, systems that can support the widest user base will win out

Visionary companies like Amazon are leveraging sentiment analysis models to dig beyond surface-level understandings

Smart companies see the pile of unstructured text floating through the digital realm as a strategic goldmine