Embed text, speech, and document AI
built on reliable training data
into your processes.

Used by teams at AI-driven organizations, both small and large

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What does text AI mean?

Think of any use case in your company that requires some form of communication (e.g. via emails).

How is this process currently executed? What are the bottlenecks? What are the pain points?

We help you to build process automations that understand texts, voice, and documents.

For instance, to create an automation across all customer-facing channels - including emails.

Since we provide a platform, we can help you with a wide range of use cases. See below for some examples.

A bit about natural language processing

...and why you should care!

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This is structured data. For instance, your everyday Excel spreadsheet.

It's easy for machines to understand. But humans don't talk in spreadsheets.

Instead, we use natural language. Like this very text. Or a speech.

Natural language

Humans run on natural language. We use it to communicate, to learn, to understand.

Businesses are run by humans. Most of the data in a company contain natural language.

It becomes obvious why 80% of the data in the world is unstructured, like text.

80%

Think about it. For instance:

Emails in customer interactions.

PDFs in human resources.

News data in the media.

Natural language

NLP

tackles these 80% of unstructured data.

It helps your machines to understand and generate natural language.

Classify

Define categories (topic, sentiment)

Extract

Retrieve information (e.g. names, dates)

Search

Search by similarity (e.g. by reference)

Generate

Create content (e.g. responses, articles)

This enables new applications

Natural language

Emails, audio, PDFs, ...

Structured insights

Metrics, spreadsheets, ...

Natural language

Emails, audio, PDFs, ...

New natural language

Responses, audio, PDFs, ...

Structured insights

Metrics, spreadsheets, ...

Natural language

Emails, audio, PDFs, ...

It will change everything

ChatGPT is only the beginning.

We curated the most prominent use cases built on our platform below.

Data Centricity

And what is data-centric NLP?

NLP models are a bit like students preparing for an exam.

They learn via index cards; on the upper half is the question, on the lower half is the answer.

Click on this card to see the response
What is the capital of France?
Paris

Now imagine, you have the following index card to prepare for the exam.

Click on this card to see the response
What is the capital of France?
Berlin

Making sure that this doesn't happen is the key to data-centric NLP.

And we're here to help you with that.

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Common use casesbuilt on our platform

See exemplary use cases that can be built with Kern AI.

Email automation

Turn your [email protected] (or any other inbox) into a first-class AI assistant. Automatically categorize incoming emails by intent, identify sentiment and urgency, extract key information and automatically create response drafts that have the context of your IT-systems (e.g. ERP or CRM).

This is an interactive demo. You can click on the messages or generate drafts. In production, AI processes run in the background.

Inbox

2 messages

Sorted by date

This works for any email client, for all channels (Email, WhatsApp, Telegram, Social Media) and with any customer-facing IT system (CRM, CSM).

Chaining complex NLP tasks

Embed the power of GPT and NLP into your own processes. Ranging from content creation to transcription or summarization, text modification and many more. Put GPT-like models into your processes.

This is an interactive demo. You can click on the button to transcribe the recording.
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Use large-language models like GPT-X in your own processes.

Building training data pipelines

Collect and generate raw data, scale your labeling and quality assurance, and build pipelines for strong and reliable NLP models.

Processing PDF documents

Coming this year

Collect and generate raw data, scale your labeling and quality assurance, and build pipelines for strong and reliable NLP models.

Soon, you'll be able to set up customized, data-centric document processing in Kern AI.

It's a dev platform

With low-code, you can build almost any NLP use cases on top of Kern AI with ease.

See this example video where we build a Slackbot summarizing sentiment of stocknews data for daily stock market updates in 5 minutes.

Scale your operations and gain new insights with our platform

Low-code

You need some Python knowledge to build an application on our platform, but you do not need a PhD. You have the full flexibility, but can develop fast and easy.

Your intellectual data property

Data lives longer than code. With our data-centric approach, you build your intellectual data property, allowing you to stay flexible when it comes to your requirements.

One developer platform

From data generation for prototyping, to data collection and labeling, quality assurance and orchestration, to model deployment and full workflow management. One platform.

Strategic investment

Businesses are run by people, and people communicate - via email, chat, PDFs, and more. NLP must be core to your business strategy, and we are here to help you build it.

We deeply care about your success

When you become a client, we don't stop caring once you sign the contract. We are here to help you succeed, and we will do everything in our power to make that happen.

Put natural language processing into action.Turn ideas into production.

Common use cases

  • Email automation
  • GPT-like content
  • Data-centric NLP

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