Introducing Obsei

Dear Dev Community!

Allow me to introduce Obsei (pronounced “Ob see” | /əb-‘sē/). It is a low-code AI powered automation tool. Name was derived from three words OBServe, AnalyzE, Inform.

You can think of it as Zapier for cognitive-automation tasks….


This content originally appeared on DEV Community and was authored by Lalit Pagaria

Dear Dev Community!

Allow me to introduce Obsei (pronounced "Ob see" | /əb-'sē/). It is a low-code AI powered automation tool. Name was derived from three words OBServe, AnalyzE, Inform.

You can think of it as Zapier for cognitive-automation tasks. More specifically we closely resemble Levity, which are doing great work toward no-code ML automation.

Following GIF can give you an overview of Obsei's -

Image description

Features

  • Apache 2.0 License: Permissible FOSS license
  • Low-Code: YAML is all you need
  • Stateless: Privacy and serverless friendly
  • GitHub Action: Schedule workflow via GitHub Actions (This might save you Zaps for few tasks)
  • BYOM: Bring your own model (via HuggingFace Hub)
  • Multi-Mode: Currently support text based workflow but future plan to support Image, Audio, OCR and Video as well

Our main idea is to provide less complex Lego pieces, which can help less tech savvy people to build complex workflows with ease.

Currently 4 companies are using Obsei for their use cases. Superblog shared how Obsei help them to find more qualified sales leads on Twitter (filtering relevant information via AI). Tweet link

Image description

We are bootstrapped small startup, looking forward for community support and feedback to improve and making Obsei more useful. Code is still in early stage and next 2 months we will release more stable Beta version along with properly taking care of backward compatibility and breaking changes.

Refer important links:
Repo: https://github.com/obsei/obsei
Walkthrough Video: Youtube link
Demo UI: https://huggingface.co/spaces/obsei/obsei-demo
Demo UI video: Youtube link


This content originally appeared on DEV Community and was authored by Lalit Pagaria


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