twin.so
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Submitted URL: http://twinlabs.co/
Effective URL: https://twin.so/
Submission: On February 09 via api from US — Scanned from DE
Effective URL: https://twin.so/
Submission: On February 09 via api from US — Scanned from DE
Form analysis 1 forms found in the DOM
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</form>Text Content
Vision
Mission
Plan
Careers
Partners
Investors
Join Waitlist
INTRODUCING
TO
ACTIONS
HR
01
SALES
02
PRODUCT
03
OPS & MORE
http://amazon.com
twin
TwinAgent I am double-clicking the "Save" button to store the PDF employment
contract in the system for future reference
TwinAgent I'm clicking the "Send" button in Docusign to dispatch the signed
document to the intended recipients
TwinAgent At the Amazon checkout, I'm clicking the "Order" button to finalize
the purchase and proceed with the transaction
TwinAgent For Alan onboarding, I'm clicking the "Send" button to initiate the
onboarding process for the new members
TwinAgent During Swile onboarding, I'm clicking the "Save" button to secure the
onboarding details in the system
TwinAgent In the Payfit onboarding sequence, I'm clicking the "Save" button to
ensure the onboarding information is stored accurately
TwinAgent On Google Workspace, I am clicking the "Invite" button to add a new
user to our workspace environment
TwinAgent Within Notion, I am clicking the "Invite" button to add a new user to
our collaborative workspace.
HR
/
Active Tasks
/
John Doe Onboarding
JOE SMITH ONBOARDING
Onboard Joe Smith for me
Got it. First, I’ll prepare his employment contract based on your template and
organise the signature on Docusign. When it’s done, I’ll order a MacBook Pro 14’
following the specifications in the email on Amazon. Then I’ll onboard him into
Alan, Swile and Payfit. Finally I’ll onboard him to Google Workspace and Notion.
Does this work for you?
Yes thanks
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VISION
NEVER DO THE SAME THING TWICE
We’re developing an action-driven AI sidekick to handle your boring tasks,
freeing you up for the exciting stuff.
We believe that too much human brainpower is wasted on repetitive tasks; and
that individuals should focus on creativity, decision-making, and communication
— while AI handles the tedious execution.
That's where Twin comes in. We aim to create a reliable AI that shadows human
actions on computers and autonomously completes tasks across applications, from
start to finish. This way, you will never have to do the same thing twice.
Twin Labs was founded on 09.01.2023 by
Hugo Mercier
Joao Justi
MISSION
BUILDING THE AI LAST MILE
With three startups under our belt each and years of multitasking, finding a
reliable way to delegate tasks we'd rather not handle has always been a
challenge.
So, while GenAI apps primarily focus today on text-to-content use cases like
content generation and knowledge search, we have decided to focus towards
building the text-to-action capability of GenAI.
Our starting point is to leverage the latest advances in computer vision to
develop a text-to-action system that can shadow us on our computers and learn
how to use any type of apps, just like humans do.
Our goal is to build a reliable app that you can seamlessly delegate your
time-consuming and repetitive tasks to, similar to delegating them to a smart
intern.
Ch
You
Update a project in Line
Send invoice to customer
Manage online job posts
Find missing expenses
Create new contract
Update roadmap
Update PRD document
Buy office supplies
PLAN
TOWARDS A RELIABLE AND HANDS ON AI WORK COMPANION
Over the last months, we delved into the daily tasks of 200+ knowledge workers,
crafting a versatile system that autonomously handles common use cases reliably.
It surpasses anything we've tested from open source repositories and research
papers — reaching a level of reliability that can be trusted.
Yet, there's still much to be done.
twin-master-plan.md
# Here’s our plan
1. Release the first version of Twin based on a library of pre-trained tasks
that target the [20%] of tasks consuming [80%] of the time.
2. Address the long tail of tasks by enabling users to define their own
specific tasks in a seamless way, using recording and commenting in [natural
language].
3. Leverage data from previously completed tasks and assemble them to create
more complex tasks. This will allow users to [delegate] increasingly more
[complex work], and to tap into the operational knowledge of other workers’
Twins.
CAREERS
WELCOMING FOUNDING TEAM MEMBERS
We're seeking individuals enthusiastic about making AI truly practical in the
real world to join our founding team. Together, let's transform our experimental
prototype into a robust product for our initial customers. We have two exciting
sets of challenges to tackle.
On the technology front — crafting reliable autonomous agents capable of
executing tasks in a browser, learning from users and mistakes. Our aim is to
make our system increasingly faster, cheaper, more capable and reliable. We're
consistently exploring new techniques to boost model accuracy for relevant
tasks, like incorporating self-learned paths or fine-tuning specialised language
models.
On the product front — forging an interface distinct from what we’ve seen in the
first wave of GenAI tools:
PROACTIVE
Our goal is to minimize the time to completion as much as possible. Simplicity
in setting up a task is crucial. We want Twin to take the lead in the
conversation and notify users when necessary. Not the other way around.
ACTION DRIVEN
We do not envision a world where we spend our entire day in a chat box. Natural
language should be used sparingly, and Twin should focus on taking action rather
than engaging in lengthy discussions.
TRUSTWORTHY
If Twin is uncertain or unfamiliar, it admits it, and should ask the user for
validation. When Twin works with users’ apps, users should be notified.
Transparency is key in building trust.
LEARNING
Interacting with Twin should feel personal, not generic. As users share
information, Twin should remember, and and asking the same question twice.
Join Twin. We’re hiring developers, product designers and more.
Join our team
DESIGN PARTNERS
LAUNCHING OUR B2B PARTNER PROGRAM IN Q1
One of the major challenges of GenAI today is its lack of steerability. While
viewed by some as a feature, we believe that for widespread adoption in
organizations, this needs to be addressed. That's why, early in our journey,
we're onboarding a select group of partners to co-design custom task libraries.
These are trained to align with their internal processes, work methods, and
leverage their specific tools - making sure that when we ship the first version
of Twin, it seamlessly integrates into their operations.
We've started training Twin on tasks from our community. If integrating GenAI
into your organization is a 2024 priority and you're keen on more than content
generation, contact us. We're soon onboarding the first batch of partner
companies.
Get in touch
INVESTORS
We have raised a $3m pre-seed round and are proud to be backed by some of the
best AI investors, founders and operators.
* They are also on a quest to reclaim lost time
* They are also on a quest to reclaim lost time
* They are also on a quest to reclaim lost time
* They are also on a quest to reclaim lost time
* They are also on a quest to reclaim lost time
MOTIER VENTURES
BETAWORKS
FACTORIAL
CLEMENT DELANGUE
THOMAS WOLF
ROMAIN HUET
IRWAN BELLO
MEHDI GHISSASSI
ROMUALD ELIE
LEONARD HUSSENOT
MATTHIAS GALLÉ
RODOLPHE SAADÉ
OLIVIER POMEL
CHARLES GORINTIN
PHILIPPE CORROT
THIBAUD ELZIERE
YAN-DAVID ERLICH
RAND HINDI
YAN HASCOET
ALEXANDRE SCIALOM
QUENTIN NICKMANS
OLIVIER VAURY
EDWARD LANDO
LEONARD LANCIA
DRISS IBENMANSOUR
CYRIL CHEMLA
JOSEF BOVET
AMAURY SEPULCHRE
GUILLAUME SABRAN
MAXIME BROUSSE
AURÉLIEN CHARPIER
ANANT SANCHETEE
JAMES ALLGROVE
FARMERS
MOZZA ANGELS
FRANKLIN FREY
VALENTINE BAUDOIN
HUGO AMSELLEM
NESS BENAMRAN
NOÉ GERSANOIS
JOIN OUR WAITLIST
Secure your spot for occasional development updates and early access. No spam,
just the good stuff.
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