Meet Digits AI 👋 The world’s first private, conversational, accurate, secure finance AI for small businesses. digits.com
Digits
Financial Services
San Francisco, California 13,233 followers
Technology so powerful.. you’ll think we stole it from the future.
About us
AI technology so powerful, you’ll think we stole it from the future. www.digits.com
- Website
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https://digits.com
External link for Digits
- Industry
- Financial Services
- Company size
- 11-50 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
Locations
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Primary
Get directions
1015 Fillmore St
PMB 68264
San Francisco, California 94115, US
Employees at Digits
Updates
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Summer may be over but we're heating up with the latest Digits Updates! 🔥 Dive into enhanced report building, answers to your client's questions directly on their financial reports, and more – all supercharged by Digits AI! 🚀 https://lnkd.in/gPfgnhcu
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Our very own Hannes Hapke was invited by Google to speak at their #GoogleCouldNext conference about our experience working on Digits using Vertex AI. 🤖 Watch Hannes nail it on stage 🎥 and check out the full talk on our blog 🖥️ https://lnkd.in/g3jXFPif
Digits at Google Next 23
digits.com
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We just shared our #SNH23 highlights in our latest blog post 💻 Catch our CEO Jeff Seibert's keynote and our Digits AI launch! Plus a thought-provoking chat with Joe Woodard on the future of accounting and AI 🚀 https://lnkd.in/dHDunkuW
Digits at Scaling New Heights
digits.com
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Jason Staats, CPA is a thought leader in the world of automation & AI in support of accounting and always has great insights to share. Appreciate you including us in your list of ways to impress your clients using AI, Jason!
4 ways accountants can impress clients with AI (even if you aren't an expert) 👇
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1,000+ new businesses and hundreds of new accountants now using Digits AI since our launch last month! 🚀 Brand new updates are now live – Discover more in our latest blog 💻 👉 https://lnkd.in/gSs_as6h
Digits AI Summer Update
digits.com
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Digits reposted this
It's becoming clear there are quickly emerging sets of use cases that lend themselves well to LLMs (in their current state). In our survey about using "LLMs in Production" participants revealed some common themes. That's not to say these are the only use cases with LLMs. With the emergence of higher-quality agents, I think we will start to see new areas of exploration soon. How reliable those agents are is still up for questioning. 🤷♂️ Here are some of the main use cases we identified from the survey: • Niche Chatbots • Customer Support • Coding • Data Enrichment • Product Recommendations Let's go deeper on "Niche Chatbots" and "Data Enrichment". Talk with your data projects seem to be the Hello World of working with LLMs. There's plenty of support and tutorials out there to create your own spin. Whether it's asking questions about a corpus of audio data (like the MLOps Community podcast 😉) or it's asking questions about your company's internal knowledge hub, the applications lend themselves well to getting your feet wet in the AI space. Two particularly creative "talk to your data" use cases from the survey were: 💎 Helping managers get up to speed on different projects quickly. Give managers the ability to ask the status of projects, budget, team, blockers, etc (I am honestly surprised Jira hasn't added this functionality yet). 💎 Coaching subject matter experts. ie asking accountants or lawyers questions at different stages of their workflow. The tables have turned. The chatbot is actually prompting the human to make sure they thought about all vectors of the problem. (Hannes has some great material on how they do this at Digits with accountants). Also, I know ^^ this one isn't exactly a chat with your data example but it kinda is... I think you can make the logical conclusion and see how I got from A to B. As for data enrichment. If LLMs are doing all the work labeling the data, it raises a few issues yes. But it also has the potential to bring down the cost greatly. I am not convinced a model can do better than a high-quality labeling service like Surge AI... but I mean if the base model is good enough... alpaca proved its viability for that use case. So like always, it matters at what stage and for what end game you are using the LLM. Do you need the high-quality human-labeled data or is some LLM stuff good enough?
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Digits reposted this
Yesterday's guest in our studio was Jeff Seibert, founder of Digits to talk about the very positive, but also concerning aspects of AI. In his words, the chatbots are like children who have been given access to everything on the Internet with no control. He also feels AI represents as important a turning point in history as the invention of the Internet itself. However, privacy and transparency need to be managed. Digits uses AI to help business finance, but has a great deal of transparency and has been publishing since 2021. Very informative discussion! #AI #Chatbot #Privacy #Robots #InternetPrivacy #business #finance
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Security is at the foundation of Digits AI. "With the rise of large language models, security in AI is an even more important topic to really understand; like what data is being ingested, and how. When you look at business finance, we’ve been very, very protective of user’s data and we believe we’re the first in the world to have a personal, intelligent, and accurate finance AI that encrypts and secures all the business data." Hear more from our founder, Jeff Seibert during his recent Fox Business news interview https://lnkd.in/ggDyqyyT
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Our founder, Jeff Seibert, was on Fox Business today talking about the importance of transparency, and security in the world of AI – something we take very seriously here at Digits! https://lnkd.in/gnb_dMxj
ChatGPT company facing lawsuit over data privacy | Fox Business Video
foxbusiness.com

