From Digital Age to Nano Age. WorldWide.

Tag: puts

Robotic Automations

Amazon finally puts down e-commerce roots in Africa | TechCrunch


Amazon’s highly awaited entry into Africa has come to fruition, with the tech giant announcing the launch of its e-commerce marketplace in South Africa on Tuesday.

In a statement, the e-commerce giant revealed that its localized platform, Amazon.co.za, will provide customers with access to a wide array of local and international brands spanning 20 product categories. Additionally, it promises same-day and next-day delivery, facilitated by over 3,000 pickup points, along with complimentary delivery for the first order and subsequent orders exceeding R500 (~$27).

The news comes two years after Amazon first revealed its intention to enter the continent with localized marketplaces in Nigeria and South Africa. The expansion, known as “Project Fela,” faced several delays, pushing back the initial launch dates for both countries. While the Nigerian launch, slated for February 2023, was put on hold, the South African debut, fixed for April 2023, was postponed to October and later this year. Last October, Amazon began onboarding independent sellers in South Africa and made hires in merchant development, software development, and operations, indicating its impending arrival.

“We are excited to launch Amazon.co.za, along with thousands of independent sellers in South Africa. We provide customers with great value, broad selection—including international and local products—and a convenient delivery experience,” said Robert Koen, managing director of Sub-Saharan Africa, Amazon, in a statement. “Building a strong relationship with South African brands and businesses—small or large—is incredibly important to us. We want Amazon.co.za to be the place where they can reach millions of customers.”

Amazon’s entry into the South African market introduces competition into an R55 billion (~$3 billion) industry largely dominated by Naspers-owned Takealot, which commands nearly half of all online sales in the southern African country. Walmart-owned Massmart is also gearing up for its own e-commerce push. The timing of Amazon’s launch also coincides with a surge in online shopping in South Africa following the pandemic, which has spurred increased investments from retailers in the e-commerce sector.


Software Development in Sri Lanka

Robotic Automations

Allozymes puts its accelerated enzymatics to work on a data and AI play, raising $15M | TechCrunch


Allozymes’ ingenious method of quickly testing millions of bio-based chemical reactions is proving to be not just a useful service, but the basis of a unique and valuable dataset. And where there’s a dataset, there’s AI — and where there’s AI, there are investors. The company just raised a $15 million Series A to grow its business from a helpful service to a world-class resource.

We first covered the biotech startup in 2021, when it was taking its first steps: “Back then we were less than five people, and at our first lab — a thousand square feet,” recalled CEO and founder Peyman Salehian.

The company has grown to 32 people in the U.S., Europe and Singapore, and has 15 times the lab space, which it has used to accelerate its already exponentially faster enzyme-screening technique.

The company’s core tech hasn’t changed since 2021, and you can read the detailed description of it in our original article. But the upshot is that enzymes, chains of amino acids that perform certain tasks in biological systems, have until now been rather difficult to either find or invent. That’s because of the sheer number of variations: A molecule may be hundreds of acids long, with 20 to choose from for each position, and every permutation potentially a totally different effect. You get into the billions of possibilities very quickly!

Using traditional methods, these variations can be tested at a rate of a few hundred per day in a reasonable lab space, but Allozymes uses a method in which millions of enzymes can be tested per day by packing them in little droplets and passing them through a special microfluidics system. You could think about it like a conveyor belt with a camera above it, scanning each item that zooms by and automatically sorting them into different bins.

Droplets containing enzyme variants are assessed and if necessary redirected in the microfluidic system. Image Credits: Allozymes

These enzymes could be just about anything that’s needed in the biotech and chemical industry: If you need to turn raw materials into certain desirable molecules, or vice versa, or perform numerous other fundamental processes, enzymes are how you do it. Finding a cheap and effective one is seldom easy, and until recently the entire industry was testing about a million possibilities per year — a number Allozymes aims to multiply over a thousandfold, targeting 7 billion variants in 2024.

“[In 2021] we were just building the machines, but now they’re working very well and we are screening up to 20 million enzyme variants per day,” Salehian said.

The process has already attracted customers across a number of industries, some of which Allozymes can’t disclose due to NDAs, but others have been documented in case studies:

  • Phytoene is an enzyme found naturally in tomatoes and ordinarily harvested in tiny quantities from the skins of millions of them. Allozymes found a pathway to make the same chemical in a bioreactor, using 99% less water (and presumably space).
  • Bisabolol is another useful chemical found naturally in the candeia tree, an Amazon-native plant that has been driven to endangered status. Now a bio-identical bisabolol can be produced in any quantity using a bioreactor and the company’s enzymatic pathway.
  • Fibers of plants and fruits like bananas can be turned into a substance called “soluble sweet fiber,” an alternative to other sugars and sweeteners; Allozymes got a million-dollar grant to accelerate this less-than-easy process. Salehian reports that they have made cookies and some bubble tea with the results.

I asked about the possibility of microplastics-degrading enzymes, which have been a target of much research and also figure in Allozymes’ own promotional materials. Salehian said that while it’s possible, at present it isn’t economically feasible under their current business model — basically, a customer would need to come to the company saying, “I want to pay to develop this.” But it’s on their radar, and they may be working in plastics recycling and handling soon.

So far this has all more or less fallen under the company’s original business model, which amounts to enzyme optimization as a service. But the roadmap involves expanding into more from-scratch work, like finding a molecule to match a need rather than improving an existing process.

The enzyme-tailoring service Allozymes has been doing is to be called SingZyme (as in single enzyme), and will continue to be an entry-level option, filling the “we want to do this 100x faster or cheaper” use case. A more expansive service called MultiZyme will take a higher-level approach, discovering or refining multiple enzymes to fulfill a more general “we need a thing that does this.”

The billions of data points they collect as part of these services will remain their IP, however, and will constitute “the biggest enzyme data library in the world,” Salehian said.

CEO Peyman Salehian and CTO Akbar Vahidi, co-founders of Allozymes. Image Credits: Allozymes

“You can give the structure to AlphaFold and it will tell you how it folds, but it can’t tell you what will happen if it binds with another chemical,” Salehian said, and of course that reaction is the only part industry is concerned with. “There’s no machine learning model in the world that can tell you exactly what to do, because the data we have is so little, and so fragmented; we’re talking 300 samples a day for 20 years,” a number Allozymes’ machines can easily surpass in a single day.

Salehian said that they are actively developing a machine learning model based on the data they have, and even tested it on a known outcome.

“We fed the data to the machine learning model, and it came back with a new molecule suggestion that we are already testing,” he said, which is a promising initial validation of the approach.

The idea is hardly unprecedented: We’ve covered numerous companies and research projects that have found machine learning models can be very helpful in sorting through huge datasets, offering extra confidence even if their outcomes can’t be substituted for the real process.

The $15 million A round includes new investors Seventure Partners, NUS Technology Holdings, Thia Ventures and ID Capital, with repeat investment from Xora Innovation, SOSV, Entrepreneur First and Transpose Platform.

Salehian said the company is in great shape and has plenty of time and money to achieve its ambitions — with the exception that it may raise a smaller amount later this year in order to fund an expansion into pharmaceuticals and open a U.S. office.


Software Development in Sri Lanka

Robotic Automations

Walmart heir Lukas Walton’s Builders Vision puts S2G on a path to independence | TechCrunch


S2G Ventures is graduating today, so to speak.

The climate tech investment firm has been living under Builders Vision, an umbrella organization for Walmart heir Lukas Walton’s philanthropic and investment activities, for the past three years. Walton was S2G’s sole limited partner. Now, the organization is bringing others on board.

Walton started S2G in 2014 to invest in startups focused on energy, agriculture, and the oceans, with the goal of creating a new crop of companies that would benefit the climate and the environment.

Walton will continue to invest in and support S2G, according to sources close to the firm, so while he’s giving the firm a bit more room to run, he’s not stepping away entirely.

S2G has over 100 portfolio companies, and according to PitchBook data, has $2 billion in assets under management. S2G has also made more than 180 investments in the last decade. The firm’s strategy spans seed stage to growth and infrastructure investments, making it one of the few to not just invest in early stage companies, but also guide them across the “valley of death” that has made scaling so challenging for climate tech startups.

Though Walton himself is worth a hefty sum — $28.3 billion according to Bloomberg — the amount of investment required for the world to reach net zero carbon emissions by 2050 makes his fortune look paltry. For the next 25 years, $9.2 trillion needs to be spent on physical assets every year, some $3.5 trillion more than the world spends today, according to McKinsey.

By setting S2G loose from Builders Vision, Walton is following a well-worn path used by many philanthropists, who often provide initial and some ongoing funding to get an endeavor off the ground. But once the project gets its legs underneath it, philanthropists tend to let others step in to foster continued expansion so they can tackle other problems.


Software Development in Sri Lanka

Robotic Automations

Diagon puts ex-Tesla supply chain muscle to work for small businesses | TechCrunch


It’s not everyday that you get to sharpen your skills with Elon Musk as your boss. It was while sourcing manufacturing equipment for Tesla factories that Will Drewery drew inspiration for Diagon, a startup that helps manufacturers procure equipment.

“Big projects companies are building now, like battery manufacturing, need very specific types of process equipment and automation equipment to build a factory and automate,” co-founder and CEO Drewery told TechCrunch. “I’d been hearing and seeing the trends toward nearshoring and reshoring of American manufacturing. As a supply chain manager, I’ve been taking a critical eye at how that’s actually going to happen. People intuitively understand that they want to source batteries for the cars they’re making in the U.S. or near the U.S., but they have no idea if that capacity doesn’t exist anywhere, then there’s no way you’re going to find a qualified supplier or have the right infrastructure to make those products.”

In January 2023, he started Diagon with former Snackpass vice president of engineering Shri Muthu so that companies of all sizes could tap into his expertise of having sourced equipment for Tesla’s electric vehicle and battery facilities. Companies in fields like automotive and aerospace can identify qualified suppliers from Diagon’s network of equipment suppliers, system integrators and service providers, then leverage a toolkit to manage those complex projects.

Diagon also uses artificial intelligence to get answers to questions like, what type of infrastructure will companies need in order to become a qualified iron-based battery provider in the U.S.?, or what types of things will the company need in order to make those products?

East Coast origins

The journey to Diagon for Drewery, who spent most of his career as an equipment buyer, started in Pittsburgh. When Drewery was growing up, his father and uncles worked in the steel industry. It was a “great way to make a living for a long time” until globalization shifted manufacturing centers elsewhere, he said.

“It impacted me to see not only the industry, but the businesses that supported it, being affected,” Drewery said. “I had this intuition that there was a much bigger significance to being able to manufacture to support a local economy.”

A few years later, Drewery joined PwC as a consultant before joining the U.S. Department of Defense as a contractor. This position took him to Baghdad, where one of his projects was to help companies procure machinery and equipment to rebuild facilities damaged during the war.

After graduating from business school in 2012, Drewery moved to the Bay Area, where a friend told him about Tesla. The company had just bought an old factory in Fremont and was stripping out the old equipment and needed someone to help source new equipment to make the Tesla S, X and 3 models.

His friend brought a Tesla to a party Drewery was at, and after taking joy rides up and down the freeway, Drewery recalls thinking, “I don’t know what this company is doing, but I’ll do anything to work there.”

Working for Elon

Tesla, Drewery learned, was similar to most organizations when it came to the supply chain.

“They’re not really focused on buying the infrastructure for the factory — that tends to be left to engineers and other people within the organization,” Drewery said. “When I came in, I was the first person, really the first formal buyer, the company ever hired to source this type of machinery and equipment. Up until then, the engineers and shop managers were sourcing their own stuff.”

It was Drewery’s job to source all the industrial robots, the metal presses and plastic molding machines. That grew into sourcing for the entire scope of Tesla’s manufacturing footprint, both in Fremont and Buffalo, New York, and also in the gigafactory in Reno, Nevada.

It was quite an education, Drewery recalls. It was difficult to identify suppliers and where they were located. How to pay for those materials, and how to actually source everything. This is because a lot of the equipment didn’t fall into the norms of things that most supply chain managers buy, he said.

Diagon dashboard shows supplier discovery feature for battery equipment. Image Credits: Diagon

Drewery ended up getting a crash-course education in supply chain. He learned which suppliers made which type of equipment, all the pricing, lead times and other negotiations.

Also during this time, Drewery gained experience building out a pretty substantial team to tackle all of that. He grew his team to 30 people that was managing about $700 million a year in capital expenditure, Drewery said. During his time at Tesla, that was about $3.5 billion.

“One of the coolest jobs — hands down — that I’ve ever had, and I was awestruck at how few tools there were to help me do that job,” he said.

And what was it like working with Elon Musk? “I’ve never learned more than I learned in that role, but it was the hardest thing that I’ve ever done. Up until starting this company, I’d say that,” Drewery said.

Here’s a little sample of what that involved. Trade shows are the top place to find companies that make these types of equipment. However, how do you take off a day of work to attend conferences when your boss is Elon Musk?

“A lot of times I would have to do it under the radar,” Drewery said.

Putting those skills to work for others

Drewery worked at Tesla between 2013 and 2018. During that time, he also had to manage delivery of all of that equipment and the testing and installation of it. This could take anywhere from a few months to a few years, he said. Drewery had a substantial team working with him but thought much about companies that don’t have the team or tools to do the same.

“This is why I felt the market needs a Diagon,” Drewery said.

Diagon launched its equipment sourcing and procurement platform in November 2023 after being a part of startup accelerator Techstars. It grew to six employees and a half-dozen customers, including Mitra Chem, Zeno Power and Mighty Buildings.

The company will deploy its software platform as a pilot program with its professional services customers first and do a broader release this summer, Drewery said.

The company also recently raised $5.1 million that includes a previous $800,000 SAFE (simple agreement for future equity) round. The Westly Group led the round and was joined by Valia Ventures, Techstars, Foster Ventures, Foxe Capital, Anthemis and ReFashiond Ventures.

The funding gives Diagon a good runway for the next two years and will enable the company to actively hire, including for a head of product and go-to-market.

“Now we are developing tools that help customers find suppliers better or help them interpret and summarize quotes better,” Drewery said. “We will roll those out as we develop them. We’ve also got some runway to acquire new customers and build more of the product until we raise our Series A, which we haven’t started fundraising for yet.”


Software Development in Sri Lanka

Back
WhatsApp
Messenger
Viber