Drafter AI is a no-code platform for AI apps and workflows with 100+ data sources. Plans start at $24/mo with a 30-day free trial. See features and pricing.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Drafter AI is a no-code platform for building AI-powered tools, automations and product features. It is aimed at businesses that want AI results without hiring developers or machine learning engineers. The company says teams can launch an AI app in minutes and that its approach can reduce development costs by 90%.
The platform brings more than 100 data sources and ML models into one workspace. Instead of juggling several software products and paying someone to connect them, users build apps inside Drafter AI and run them from a single place.
The company is based in Riga, Latvia, and sells through a pricing page with self-serve plans and a sales route for larger deployments.
Work in Drafter AI is organized around workflows. A workflow chains several AI technologies and data sources together and runs automatically. The company says a workflow can handle hundreds of tasks at once, covering jobs such as text generation, data enrichment, summarization and text analysis.
Prompts can be saved as reusable templates, so a prompt created once can be used across many workflows. Teams can also upload PDFs, videos or web content to their storage. The platform identifies and indexes this material and uses it when a workflow needs company-specific knowledge.
Every workflow also gets an automatically generated API call. This lets a product team add functions such as text summarization or sentiment analysis to its own software without writing the integration code.
The feature list is broad. Text modules include GPT-4 and GPT-3.5 processing, key phrase and entity extraction, topic identification, sentiment recognition, classification with custom or default categories, and translation covering 200+ languages. Recognition modules cover PDFs, images and speech.
Data modules include web data extraction, which returns page content as HTML or clean text, and public search through Google or Bing. An internal search locates and aggregates data in the company's own knowledge base using full-text search with multiple parameters.
On the delivery side, finished apps can run as a branded web app. The Scale plan adds a white-label portal, custom API integrations and developer API access, plus an optional local deployment.
Drafter AI is a no-code platform for building AI-powered apps, automations and product features. It combines 100+ data sources and ML models so teams can create workflows without coding or hiring ML engineers.
The Use plan costs $24/mo and Customize starts at $79/mo. Scale starts at $1,999/mo, with a crossed-out $10,000/mo shown on the site. Extra AI credits cost $79 per 500,000.
Yes. The Use and Customize plans each list a 30-day free trial. The Scale plan is arranged by contacting the company.
Credits are a universal unit measuring the computational resources a task uses. Different data sources and AI modules consume them at different rates, for example about 7000 for recognizing an image and around 100 for an ad headline.
All plans include Slack and Make.com integrations. The Scale plan adds custom API integrations and developer API access.
Yes. You can upload PDFs, videos or web content to your storage, and Drafter AI indexes it and uses that knowledge when needed. An internal search module also finds results in your knowledge base.
The company says you can specify your preferred geography for data storage, choose third-party data providers and set how long data is stored on its side. The Scale plan also lists a local deployment option.
It suits businesses that want custom AI apps and workflows without engineering staff, and product teams that want to add AI features through an API. Agencies and service firms can use the Scale plan's white-label portal.