Today, we're excited to announce the launch of our Proactive AI Workspace - Fluso!
Built in partnership with global law firms, hedge funds, and hospitals, Fluso changes the way teams work with AI.
50+ customer interviews taught us one thing - organisations that have invested heavily in AI assistants for knowledge work face 3 major challenges:
1. Low utilisation
2. Lack of standardisation
3. High costs
Fluso solves that.
It plugs into your organisation's tools, builds a deep context graph about each user and automatically starts detecting tasks that a team member needs to complete. Teams are no longer left wondering what their assistant needs to work on, they just approve the tasks Fluso detects and let it flow through them.
Built on 3 core foundations, our initial users have have an overwhelmingly positive feedback on the impact of each:
1. Private: Fluso is powered exclusively by open-source models, with an option to access them confidentially.
2. Proactive: Users loved when Fluso reminded them of tasks it offered to complete that were lost in slack threads and meetings
3. Price-sensitive: Fluso offers 5x more tokens for the same plan as compared to similar AI workspaces, making it extremely cost efficient.
Stop thinking and start flowing now 👇
The AI industry has a dirty secret nobody talks about.
Your data is visible to every LLM provider you use today.
Every piece of sensitive data, proprietary strategy, and private thought you feed into these systems is readable, storable, and exploitable.
This thought made us very uncomfortable.
For AI systems to be truly useful, you should be able to expose sensitive information to them with absolute confidence. 18 months ago, we partnered with SUPSI in Lugano to answer this:
Can you get on-premise security guarantees while using cloud LLMs?
We're releasing our first research paper, Privacy-Preserving LLM Inference in Practice: A Comparative Survey of Techniques, Trade-Offs, and Deployability, covering what we learnt about the state of privacy in AI today.
Link in the replies 👇
Prem Studio also ships with all the APIs you’ll need to build your model training pipelines!
You can now programmatically upload your datasets, launch and monitor fine-tuning jobs, run comprehensive evaluations, and deploy production-ready models, all through simple REST API calls. This API-driven approach is designed for automation, enabling you to seamlessly integrate advanced AI management into your applications, CI/CD pipelines, and backend systems.
To make the transition effortless, our inference API is fully compatible with the OpenAI client library.
This means that once you train a model with Studio, switching to Prem's inference is just a line of change!
Today, we’re excited to announce that Prem Studio is available for public access!
Built in collaboration with design partners from Fortune 50 companies, US healthcare providers, and compliance firms in the EU, Studio is an end-to-end platform for building specialized LLMs.
Studio makes it possible for you to build your own custom language model by fine-tuning 30+ small language models without writing any code. The platform handles all the heavy lifting from dataset management, selecting the best base models, managing training infrastructure, running evaluations, and deploying inference endpoints.
Teams using Studio, on average, achieve 10-30x model compression while maintaining 98% accuracy on most tasks. Some even outperform frontier LLMs on domain-specific tasks.
Prem Studio models are fully self-hostable, meeting the strict data sovereignty and security requirements of our enterprise and healthcare partners.
If you’ve got a dataset, you can ship a custom model now. Sign up below and claim free training credits!
She can put her point across just as well as you can. We are committed to addressing unconscious gender bias that lies hidden in everyday work life. We want to unmask it, and deal with it. Know more: https://t.co/3IZ36HhgFX #SpotItToStopIt#InspireInclusion