November 10, 2022

Building the world's first self-organizing workspace

Building the world's first self-organizing workspace

By Kevin Moody and Dennis Xu

The history of knowledge work has been one of constant evolution. From the early days of the industrial revolution in the late 18th century, when knowledge work was largely confined to a few specialized fields, to the rise of the information age in the mid 20th, when knowledge work became a defining feature of the modern economy, we've undergone dramatic changes in our relationship with information.

Along the way, we've acquired new capabilities that have propelled the human experience. From factories that enabled the mass-production of consumer goods, to the internet that created a shared global consciousness.

Today, we sit at the precipice of yet a new era — one where machines can not only automate (factories), and accelerate (internet), but even think and reason. It's hard to imagine that the new capabilities we will gain in this era will be anything short of revolutionary.

We're excited to announce that we have raised $23.5M of Series A funding, led by the OpenAI Startup Fund, to accelerate our efforts towards augmenting humans with the capabilities of this era. And yes, we are hiring.

At Mem, our mission is to leverage machines that can think to build products that inspire humans to create more, think better, and organize less.

For a researcher, it means being able to consult, and utilize, existing bodies of literature at a scale and speed that was previously unimaginable.

For an investor, it means being able to make better decisions by analyzing vast quantities of data in a fraction of the time it currently takes.

For a screenwriter, it means being able to finally put writers-block to rest, and create generational narratives that capture our collective imaginations.

The list goes on.

At its core, all of knowledge work revolves around a set of common activities. We seek out information and inspiration, we synthesize it, and then store it away. Over time, we draw on the knowledge we've accumulated in order to generate new insights and ideas. Then, the cycle repeats.

An investor may read 10-Ks, a screenwriter screenplays, and a researcher papers on arXiv, but the fundamental unit of work is similar — each activity is a slight variation on the cycle above.

By marrying machines that can think with domain specific knowledge, we can create a personalized knowledge assistant for every knowledge worker. That is the essence of what we do.

To that end, we have two further announcements to make today.

The first is that Mem X is now officially out of beta. So if you were on the waitlist, congratulations, you're in! And if you weren't on the waitlist, don't worry: you can sign up now and join the party.

The second is the announcement of two new capabilities of Mem X that leverage generative AI in a transformative way. We are calling these features Smart Write and Smart Edit.

Like Mem itself, there are countless ways to use Smart Write and Edit — the limit is simply your creativity. You can ask it to:

  • Produce a piece of writing from scratch (e.g., "Write an article explaining why sans serif fonts are so popular with DTC brands")
  • Summarize jargon-heavy research papers to be more digestible
  • Come up with counterarguments/rebuttals to something you have written
  • Write a recipe that uses the leftover ingredients in your fridge and pantry
  • And so much more...

You can sign up for the Smart Write waitlist here.


Until recently, the field of artificial intelligence that most preoccupied our collective cultural imagination has been that of robotics. Science fiction writers dreamed up various scenarios of human-robot conflict; ethical debates raged about the implications of creating machines that could potentially surpass human intelligence in many areas, or the risks associated with imbuing robots with the ability to make decisions on our behalf. We've been conditioned to fear the imminent overtaking of humanity by our robot overlords.

But science fiction is exactly that — fiction. And if the past year has been any indicator, we think the future will be a lot more inspiring than it is dystopian.

We are entering a new era of personal computing — the symbiotic intelligence era. Machines will not replace us, they will simply make us better. They always have, and we are in the business of making sure they continue to do so. If you're interested in joining us on this mission, take a look at our careers page here.

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