Smarter Teams with safe generative AI
AI is changing the way we work. Harnessing its potential swiftly and effectively is a key competitive advantage for any company.
With Dust, get all the might of large language models in a user-friendly package, while ensuring the safety of your company’s data.
Product
Our product constitution
Augmenting humans, not replacing them
We’re optimistic about making work life better for smart people. We’re building R2-D2, not Skynet.
Uncompromising on data security & privacy
We aspire to define standards rather than simply abide by the existing ones.
Hard problems over hype
There’s more to do than wrapping GPT into a chat UI. We’re in this to solve hard problems on user experience and product quality.
Building with an AI core
We’re building with large language models in mind from the ground up, rather than sprinkling them here and there.
The secret sauce
The experience to build the right product
Great things happen when technical skills, operational excellence and passion for simple, empathetic user experience come together.
Our team combines engineering, product and design experiences from leading companies like Alan, Artefact, Aurora Innovation, BlaBlaCar, OpenAI, Stripe and Withings.
Internal data vectorized, not rasterized
Bring your internal data in context with fully managed semantic search engines to expose it to large language models apps.
Safely connect Notion, Slack, etc… as continuously updated embeddings.
Smart read and write tools
Disentangle how information is created and stored from where and how it’s consumed by your team.
Find tailored answers to your questions rather than a list of documents. Stay updated on projects in just as many bullet points as you have time for. Make your notes and memos crisp, compelling, and consistent with the team lexicon and tone of voice.
Your own powerful workflows
Build custom Large Language Model apps with the models of your choice and your own data sources. Tweak, evaluate and maintain them in a visual interface that assists you with the intricacies of prompting and chaining stochastic models.
Deploy your own apps internally either with a GUI or via!