# Create Your Own AI Workflow

> Build workflows tailored to your research and analytical needs

## What is an AI text analytics workflow?

An AI text analytics workflow is a pipeline of steps, such as data import, cleaning, language models, classification, extraction and export, that turns raw text into structured insight automatically. Building one usually takes data engineering work; Dcipher Studio lets you assemble it by drag and drop instead.

## Build smarter workflows faster with customizable AI-powered text analytics

Dcipher Analytics Studio enables you to build and automate customized text analytics workflows and research tasks by
simple drag-and-drop, using a comprehensive toolbox of over 100 configurable text analytics and AI components. The
platform supports both proprietary and open-source algorithms and language models, as well as third-party integrations,
allowing you to quickly create and deploy tailored pipelines that fit your specific needs. Whether you're automating
complex tasks or developing your own solutions, Dcipher Analytics workflows can serve as your backend analytics engine.
With components continuously updated to incorporate the latest algorithms and models in AI-powered text analytics, you
can stay at the cutting edge while focusing on your core objectives.

Are you building solutions for others, or part of a company launching a new AI-powered solution? Join our Partner
program and build your solutions fast and efficiently on top of Dcipher Studio.

  [Learn more](https://www.dcipheranalytics.com/products/dcipher-studio)

> Would you rather like us to create your custom workflow for you?

- Quickly design and deploy customized text analytics pipelines tailored to your needs
- Automate insight tasks and workflows with over 100 text analytics and AI components
- Import data via API and export results via API to your own front-end solution
- Combine proprietary, open-source, and third-party language models in your workflows
- Use Dcipher Analytics workflows as a backend analytics engine for your solutions
- Stay updated with the latest algorithms and models in AI-powered text analytics

## How our customers have benefited

- ![](https://www.dcipheranalytics.com/solutions/icons/icon-idea.svg)

  ### AI-powered risk and opportunity signal detection for global insights

  A global consulting firm leveraged Dcipher Analytics to build an AI-powered text analytics workflow, enabling
  real-time monitoring of thousands of companies and industries worldwide. By seamlessly integrating advanced insights
  into their platform, the firm enhanced strategic decision-making for clients, improved efficiency, and strengthened
  their competitive advantage. [Read the full case study](https://www.dcipheranalytics.com/customer-success-stories/global-consulting-firm-builds-ai-powered-risk-opportunity-signal-detection-on-dcipher-analytics)

## Frequently asked questions

### Why build a workflow instead of using an AI assistant?

An assistant handles one request at a time. A workflow chains the steps of a research process, such as collecting, cleaning, de-duplicating, classifying and summarizing, runs thousands of AI tasks in parallel and repeats on a schedule. When something changes, only the affected steps are recalculated, so reruns are fast.

### What components are available?

Over 100 configurable text analytics and AI components, including proprietary and open-source algorithms and language models, and third-party integrations. Components are updated as new algorithms and models become available.

### Can I connect workflows to my own systems?

Yes. You can import data via API and export results via API to your own front end, so Dcipher workflows can serve as the analytics backend of your own solution.

### Can Dcipher build the workflow for me?

Yes. Contact us if you would rather have Dcipher create a custom workflow for you.

### Can I build products for my own clients on Dcipher?

Yes. Companies building AI solutions for others can join the Dcipher partner program and build their solutions on top of Dcipher Studio.
