Bold ambition. Strong founding team solving a personal pain point. Compelling why now. Painkiller not a vitamin. Deep diligence work to validate the problem. Early momentum.
Out of all of these traits that investors look for, it’s rare to find an early-stage startup that ticks each box.
@DideroAI does — this team is the real deal. Super pumped to be leading their $7M seed round (with friends like
@BoxGroup and
@jaltma joining us
@firstround).
I thought I’d mark their launch day news (
@Techcrunch article in next post) by trying to dig a bit more into the details of what they’ve gotten right on each of these fronts, in case it’s interesting for other founders thinking through how to structure their fundraising pitches.
Vision:
Didero is an AI procurement agent that automates the most common supply chain workflows for mid-market manufacturers. Their vision?
Make trading with companies across the world as easy as trading across the street.
Boom. The world of supply chain logistics may be a “dusty industry” as my partner
@btrenchard likes to say, but this framing of the impact they hope to make on the world doesn't have to be.
2X founders with personal pain point:
@tcpetit,
@LPallhuber, and
@tspencer15 make for a strong AND well-balanced team. For starters, everyone has already been a founder before, so they’ve already gone 0 to 1.
But they’ve also lived the problem and developed extensive experience in supply chain. Pretty rare combo in my experience.
While building Markai, Tim had hundreds of suppliers across several countries and was looking for tools to help him scale his supply chain operations, but he couldn’t find any better way to manage procurement than to hire a team of 15 people to do manual work.
Love when founders decide to go out and build the tool they wish they had.
Compelling why now:
The “why now” piece is one that too many founding teams rush over IMO. Here’s Didero’s:
Supply chains are only getting more complex.
China used to be a one-stop shop, but now companies are looking to diversify their supply chain — good for the overall resilience of the system, but leads to significant additional work.
Before advances in generative AI, this was tricky to solve — communicating in natural language is important here. It’s a smart application of AI to a legacy industry that’s running on 1990s software (at best).
This quote from the team sums it up well:
“If we ask supply chain teams to be strategic and navigate increasing complexity, we need to provide them with better tools and give them the mind space and data intelligence to do the crucial work they were hired to do.”
Deep customer discovery work:
Tom, Lorenz, and Tim are truly students of the space. They’ve gone what we
@firstround like to call “unreasonably deep” in their pursuit of understanding the problem from every angle.
When they pitched us earlier this year, they’d already done calls with 200+ supply chain/procurement professionals and industry experts to validate the problem, and were already working with more than a dozen design partners.
I don’t take very many pitches where founders walk in having done that amount of homework.
Painkiller, not a vitamin:
This framework is a cliche for a reason — it’s definitely something that will be on investors’ minds as you tee up the problem you’re solving.
Didero’s discovery work (and our own diligence with customer calls) revealed a ton of pain and manual work, specifically in the startups and mid-market segment.
Right now, most procurement folks are drowning in manual tasks, with a lot of extremely taxing, repetitive work.
Because supply chain teams are so bogged down with these processes, there is typically no time for strategic work and optimizing spend
By helping people focus less on that and more on the higher order work these employees want to be doing like building supply chain resilience and building deeper relationships, Didero is solving a real pain point (and saving teams real $$$).
Early momentum:
The team has executed very quickly.
Incorporated in December, and by their pitch to us in April they had many early design partners, strong hires, a lot of product built out and a feature-rich demo.
They’ve already seen quick wins for customers, too, saving multiple early customers tens of thousands of dollars each month.
Small example: One of their manufacturing customers used to spend every Monday morning wasting hours emailing every single supplier to ask for a status update on outstanding purchase orders.
Confident that there will be even more to share in the months and years ahead — watch this space.