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Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.

AngularJS (Angular) native directives for Bootstrap.

Which is more popular?
Based on our record, Angular UI Bootstrap should be more popular than Obsei. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | obsei.com | angular-ui.github.io |
| Pricing | — | |
| Company | 2020 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Obsei is an open source, self-hosted Voice of Customer platform. It reads customer feedback from wherever it lives, removes personal data before any AI model sees it, and shows your team what customers are saying. What it does Collects feedback from the App Store, Google Play, Zendesk, Freshdesk,...
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What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


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As answered by people managing Obsei and Angular UI Bootstrap.
Obsei's answer
Obsei removes personal data before any AI model sees your customers' words. Emails, phone numbers, card numbers and national IDs are stripped as feedback arrives, authors become pseudonyms, and the database is encrypted. The default classifier runs on your own machine, so you can analyse reviews, tickets and calls without sending them to a SaaS vendor or a public LLM. It is also open source under Apache-2.0, with no paid tier, and it works with AI agents through MCP, so Claude, Cursor or Codex can answer "what are customers saying?" with real, redacted quotes.
Obsei's answer
Choose Obsei if you can't, or don't want to, send customer text to another company. Enterpret, Unwrap and Chattermill process your feedback on their servers and usually start at several thousand dollars a year. Obsei runs inside your own infrastructure, costs nothing, and lets you bring your own model, from a small local classifier to Ollama, Azure OpenAI or Bedrock. You also aren't locked in: the data stays in an encrypted DuckDB file you own, and every source, sink and model can be swapped.
Obsei's answer
Product, support and CX teams who want to understand customer feedback at scale but work under privacy rules: banks, insurers, healthcare, public services, and companies working under GDPR or India's DPDP Act. It also suits app developers and open source maintainers who want to track App Store, Google Play, GitHub or Hacker News feedback for free, and engineering teams building AI agents that need customer evidence without exposing personal data.
Obsei's answer
I started Obsei in 2020 as a small open source Python library to read app reviews and tweets with AI models. In 2022 it was a joint runner-up in the Reserve Bank of India's first global hackathon, HARBINGER, and my co-founder Girish Patel and I started a company, Oraika, around it. We had encouraging meetings with banks, but we were engineers with no experience of enterprise sales, and we couldn't close a deal. The project went quiet for almost three years.
In 2026 I came back to it. Customer feedback had become even more sensitive with LLMs everywhere, so I rewrote Obsei from scratch around one rule: understand customers without moving their personal data anywhere it shouldn't go. Version 1.0 shipped in October 2026. I maintain it in my free time, and the long-term plan is to move it to a neutral foundation such as LF AI & Data.
Obsei's answer
Python 3.11+ with Pydantic for configuration, Typer for the CLI, httpx for connectors and Starlette for the server. DuckDB with its encryption extension for storage. Hugging Face Transformers for the default zero-shot classifier (bge-m3-zeroshot-v2.0), fastembed for multilingual embeddings and GLiNER for optional name redaction. The official MCP Python SDK for the agent server. The Studio UI is plain TypeScript bundled with esbuild, and the docs and website are built with Astro.
Share your experience with using Obsei and Angular UI Bootstrap. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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. - Source: dev.to / almost 5 years ago
I followed the tutorial on the angular bootstrap site :http://angular-ui.github.io/bootstrap/. Source: over 4 years ago
I would like to combine AngularJS and Twitter Bootstrap into a fresh web app. It seems like AngularJS directives have been written for Bootstrap. Source: over 4 years ago
I'd like to make a minor modification to a 3rd party directive (specifically Angular UI Bootstrap). I simply want to add to the scope of the pane directive:. Source: over 4 years ago
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