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French startupDusthas lift a $ 16 million Series A financing round led by Sequoia Capital . With rubble , companies can make usance AI assistants and share them with their employees so that they can work more expeditiously .
But what ’s interesting with Dust is the differences with other companies work on enterprise agent or AI supporter in general . Unlike a consumer - facing tool like ChatGPT , Dust assistants are connect to a company ’s data and documents . For instance , when you work up a fresh assistant in Dust , you could associate it with Notion page , documents stash away in Google Drive , Intercom conversations or Slack .
At the same time , unlike most AI inauguration working on enterprise broker , Dust believe that companies should have several AI assistants — not just one . Each assistant could be useful to perform a certain set of tasks and solve some common problems that a specific team is facing .
In more hard-nosed terms , support team can use a Dust help that is cognizant of both the content of the noesis base and past bread and butter interaction . This direction , raw team members in the musical accompaniment team can necessitate a question to the @supportExpert assistant and get a relevant answer .
HR teams can create an AI supporter that can do dubiousness about bodied policies — no need to explore a convoluted Notion database . They can also produce a different assistant that can draft job descriptions based on past chore descriptions . Once again , this empower the party at bombastic and frees up time for the hour team .
For engineering and datum teams , the use cases are pretty straightforward . For example , a Dust assistant can be aware of the company ’s database outline . you could ask @SQLbuddy in plain English to drop a line a SQL question on your customer nucleotide .
One last good example : Sales teams can generate draught emails based on CRM information and the general context behind a likely customer . And if you need to make your own connection or integrate Dust supporter in another cock , the company offers an API .
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Instead of reinventing the bicycle , Dust centre on work up a product that work for everyone . A couple of years after the launch of ChatGPT , most mass are now intimate with AI help ( many are even using it for study even though its against ship’s company policies ) . They know how to pop out a conversation , follow up with more details and ask the AI assistant to reframe its solvent .
Using Dust is n’t that different as companies are building conversational assistants with the political program . Employees can then go to Dust ’s web interface or interact with assistants in Slack straight off — this mode , they can be @-mentioned in the centre of a conversation . Dust essentially wants to turn productive AI into an national communication tool that everyone uses every 24-hour interval .
The inauguration now generates $ 1 million in annual recurring revenue with some belated - stage technical school companies using it intensively , such as Watershed , Alan , Qonto , Pennylane and PayFit .
Business banking startupQontoestimates that 75 % of its squad of 1,600 are using Dust assistants on a monthly basis . AtAlan , a French health insurance policy unicorn , 80 % of the company use AI supporter on a hebdomadary basis . method of accounting tech unicornPennylanehas create 86 custom help with Dust .
In addition to Sequoia Capital , some of the startup ’s existing investor are enthrone once again , such as XYZ , GG1 , Connect Ventures , Seedcamp and Motier Ventures .
Having a customer - rivet advance also mean that Dust is n’t create its own founding model . When you build an assistant , you may pick the large voice communication model that you require to utilize for that assistant . debris has integration with OpenAI ( GPT ) , Anthropic ( Claude ) , Mistral and Google for its Gemini models .
There are quite a few startups operate on enterprise platforms for work up AI agents or help . Some name that occur to bear in mind areBrevian , Tektonic AI , Ema , Kore.aiandGlean . Even Atlassian , the enterprise computer software giant behind Jira and Confluence , has launched its AI teammateRovo . have ’s see if Dust has found the right wing go - to - market method with its easy onboarding strategy .
