Omnifact is the privacy-first generative AI platform made for the workplace. Embrace the potential of Generative AI while maintaining your data sovereignty.
Hi Product Hunt! 👋
We’re Florian and Patrick, co-founders of Omnifact. We’re thrilled to introduce Omnifact to the Product Hunt community and launch our free Starter Plan today! Omnifact is our enterprise-grade AI platform that empowers businesses to leverage AI while maintaining complete data control and security.
🚀 Our Journey
We started Omnifact when we recognized a critical gap in the market: the need for AI solutions that respect data sovereignty, offer true vendor independence, and are accessible to everyone in an organization, not just IT teams.
🌟 What Sets Omnifact Apart?
1. Privacy-First Architecture: Your sensitive data never leaves your control.
2. Flexible Deployment: On-premise or private cloud - you choose.
3. Support for Various AI Models: We’re provider-independent and treat self-hosted models as first-class citizens.
4. Exceptional Usability: Anyone in your organization can create AI assistants, not just tech experts.
🤔 Why Omnifact?
As open-source LLMs continue to advance, self-hosted models are enabling new use cases across industries that can’t rely on cloud-hosted LLM providers due to regulatory constraints. Omnifact empowers these companies with a platform that fully supports and optimizes self-hosted models while making AI accessible throughout the organization.
We believe AI adoption will significantly impact business efficiency, but challenges like integration, privacy, and security have slowed progress. Omnifact addresses these hurdles head-on, enabling businesses to iterate towards end-to-end automation.
🎬 See It in Action
Check out our demo showcasing how Omnifact creates secure, use-case specific AI assistants using your internal knowledge bases here: https://www.loom.com/share/00597.... Our intuitive UI for Retrieval Augmented Generation (RAG) makes it easy to build powerful AI assistants without complex setup.
💬 Join the Conversation
We’re here all day to discuss the intersection of Generative AI and business. Curious about RAG or how to implement AI responsibly in your organization? Drop your questions in the comments!
🎁 Special Launch Offer
To celebrate our Product Hunt debut, we’re giving away free Pro Plans for a year to 5 lucky supporters! Show us your support and tell us what you think of Omnifact in the comments, and we will pick 5 supporters at the end of the day to receive one year of free Omnifact Pro!
If you’re interested in the future of enterprise AI that prioritizes privacy, flexibility, and usability, give Omnifact a try, you can sign up for our free Starter Plan today at https://omnifact.ai. Follow us to stay updated on our progress!
Thank you for your support. Let’s unlock the next leap in enterprise productivity and automation together!
Cheers,
Florian and Patrick 🚀 🤖 🧠
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@florian_reifschneider Congrats on your launch day! Wishing you great success and new opportunities. What challenges did you overcome to get here?
@kjosephabraham Thank you! Balancing security and usability was great one. We still are working very hard on making AI more accessible.
How are you using AI currently?
Great question, @sasha_briu; we see two main drivers for change in this regard right now: Open source models like Llama 3 will drive the incentive to self-host LLMs, which will de-centralize AI and will increase the privacy for end-users. Additionally, we wouldn't be surprised to see US regulation similar to the EU AI Act (even if it'll be hopefully less strict) that will increase the requirements for fair AI and data privacy.
Our goal is to continue improving Omnifact to help organizations increase their ROI when using AI while retaining data sovereignty.
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Congratulations on the launch! I was curious about the data privacy part. How does Omnifact ensures privacy and data security?
Hi @irida
Thanks for the question! We take data privacy and security very seriously at Omnifact.
One of the key ways we ensure this is through our advanced data privacy filter. Think of it as a safety net for your sensitive information.
Here’s how it works:
Before any data is sent to an LLM (even for processing), our filter automatically scans and identifies potentially sensitive information. This could include names, addresses, financial details, and more.
- You have complete control. You can customize the filter to align with your industry's specific privacy regulations and your organization's policies.
- Sensitive data gets masked. The identified information is then replaced with placeholders or anonymized, ensuring that the original data remains protected.
- This means you can leverage the power of AI while having peace of mind knowing your sensitive information is shielded throughout the entire process.
Good stuff going for a security focus. I know a lot folks in big tech companies are wondering why we aren't using these AI advantages - it's always security and data privacy reasons. What kind of customer segment are you targeting?
@shashank_sanjay We already have a couple of larger customers from regulated industries, including a bank. Right now I would say we are mostly targeting the range 10-1000 employee companies, as there we see the fastest adoption and payoff for the customers. But open to any leads, if you have any :)
@florian_reifschneider Congrats! I can't think of any leads for your ICP immediately, but happy to connect on LinkedIn and connect you with someone if you see them!
Omnifact has become an essential part of my day-to-day work, helping tremendously with my productivity. The ability to choose models from any vendor and access the newest ones as soon as they’re available is a huge plus. "Spaces" is a really cool feature too—it lets me set up reusable, preconfigured environments where the assistant always behaves the same. Highly recommend! 🌟
@ashrita_kumar Thank you Ashrita! Allowing companies to run generative AI completely air-gapped enables to many new use cases, especially in regulated industries. Just imagine all the possibilities.
What use cases for on-premise AI are you thinking about?
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Targeting the privacy first customers is a great move - honestly, millions of businesses cannot easily adopt AI until it's made easy privacy and security wise.
Congrats on the launch @florian_reifschneider and team!
Thanks @tonyhanded , Absolutely! We believe that privacy and security shouldn't be barriers to AI adoption. That's why we built Omnifact from the ground up with these principles in mind.
Thanks for the support – we're excited to empower businesses to leverage AI safely and responsibly! 🚀
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