Aug
31
2021
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Peak raises $75M for a platform that helps non-tech companies build AI applications

As artificial intelligence continues to weave its way into more enterprise applications, a startup that has built a platform to help businesses, especially non-tech organizations, build more customized AI decision-making tools for themselves has picked up some significant growth funding. Peak AI, a startup out of Manchester, England, that has built a “decision intelligence” platform, has raised $75 million, money that it will be using to continue building out its platform, expand into new markets and hire some 200 new people in the coming quarters.

The Series C is bringing a very big name investor on board. It is being led by SoftBank Vision Fund 2, with previous backers Oxx, MMC Ventures, Praetura Ventures and Arete also participating. That group participated in Peak’s Series B of $21 million, which only closed in February of this year. The company has now raised $119 million; it is not disclosing its valuation.

(This latest funding round was rumored last week, although it was not confirmed at the time and the total amount was not accurate.)

Richard Potter, Peak’s CEO, said the rapid follow-on in funding was based on inbound interest, in part because of how the company has been doing.

Peak’s so-called Decision Intelligence platform is used by retailers, brands, manufacturers and others to help monitor stock levels and build personalized customer experiences, as well as other processes that can stand to have some degree of automation to work more efficiently, but also require sophistication to be able to measure different factors against each other to provide more intelligent insights. Its current customer list includes the likes of Nike, Pepsico, KFC, Molson Coors, Marshalls, Asos and Speedy, and in the last 12 months revenues have more than doubled.

The opportunity that Peak is addressing goes a little like this: AI has become a cornerstone of many of the most advanced IT applications and business processes of our time, but if you are an organization — and specifically one not built around technology — your access to AI and how you might use it will come by way of applications built by others, not necessarily tailored to you, and the costs of building more tailored solutions can often be prohibitively high. Peak claims that those using its tools have seen revenues on average rise 5%, return on ad spend double, supply chain costs reduce by 5% and inventory holdings (a big cost for companies) reduce by 12%.

Peak’s platform, I should point out, is not exactly a “no-code” approach to solving that problem — not yet at least: It’s aimed at data scientists and engineers at those organizations so that they can easily identify different processes in their operations where they might benefit from AI tools, and to build those out with relatively little heavy lifting.

There have also been different market factors that have played a role. COVID-19, for example, and the boost that we have seen both in increasing “digital transformation” in businesses and making e-commerce processes more efficient to cater to rising consumer demand and more strained supply chains have all led to businesses being more open and keen to invest in more tools to improve their automation intelligently.

This, combined with Peak AI’s growing revenues, is part of what interested SoftBank. The investor has been long on AI for a while; but it also has been building out a section of its investment portfolio to provide strategic services to the kinds of businesses in which it invests.

Those include e-commerce and other consumer-facing businesses, which make up one of the main segments of Peak’s customer base.

Notably, one of its recent investments specifically in that space was made earlier this year, also in Manchester, when it took a $730 million stake (with potentially $1.6 billion more down the line) in The Hut Group, which builds software for and runs D2C businesses.

“In Peak we have a partner with a shared vision that the future enterprise will run on a centralized AI software platform capable of optimizing entire value chains,” Max Ohrstrand, senior investor for SoftBank Investment Advisers, said in a statement. “To realize this a new breed of platform is needed and we’re hugely impressed with what Richard and the excellent team have built at Peak. We’re delighted to be supporting them on their way to becoming the category-defining, global leader in Decision Intelligence.”

It’s not clear that SoftBank’s two Manchester interests will be working together, but it’s an interesting synergy if they do, and most of all highlights one of the firm’s areas of interest.

Longer term, it will be interesting to see how and if Peak evolves to extend its platform to a wider set of users at the organizations that are already its customers.

Potter said he believes that “those with technical predispositions” will be the most likely users of its products in the near and medium term. You might assume that would cut out, for example, marketing managers, although the general trend in a lot of software tools has precisely been to build versions of the same tools used by data scientists for these less technical people to engage in the process of building what it is that they want to use.

“I do think it’s important to democratize the ability to stream data pipelines, and to be able to optimize those to work in applications,” Potter added.

Feb
17
2021
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Peak AI nabs $21M for a platform to help non-tech companies make AI-based decisions

One of the biggest challenges for organizations in modern times is deciding where, when and how to use the advances of technology, when the organizations are not technology companies themselves. Today, a startup out of Manchester, England, is announcing some funding for a platform that it believes can help.

Peak AI, which has built technology that it says can help enterprises — specifically those that work with physical products such as retailers, consumer goods companies and manufacturing organizations — make better, AI-based evaluations and decisions, has closed a round of $21 million.

The Series B is being led by Oxx, with participation from past investors MMC Ventures and Praetura Ventures, as well as new backer Arete. It has raised $43 million to date and is not disclosing its valuation.

Richard Potter, the CEO who co-founded the company with Atul Sharma and David Leitch, said that the funding will be used to continue expanding the functionality of its platform, adding offices in the U.S. and India, and growing its customer base.

Its list of clients today is an impressive one, including the retailer PrettyLittleThing, KFC, PepsiCo, Marshalls and Speedy Hire.

As Potter describes it, Peak identified its opportunity early on. It was founded in 2014, a time non-tech enterprises were just starting to grasp how the concept of AI could apply to their businesses but felt it was out of their reach.

Indeed, the larger landscape for AI services at that time was primarily one focused on technology companies, specifically companies like Google, Amazon and Apple that were building AI products to power their own services, and often snapping up the most interesting talent in the field as it manifested through smaller startups and universities.

Peak’s basic premise was to build AI not as a business goal for itself but as a business service. Its platform sits within an organization and ingests any data source that a company might wish to feed into it.

While initial integration needs technical know-how — either at the company itself or via a systems integrator — using Peak day-to-day can be done by both technical and non-technical workers.

Peak says it can help answer a variety of questions that those people might have, such as how much of an item to produce, and where to ship it, based on a complex mix of sales data; how to manage stock better; or when to ramp up or ramp down headcount in a warehouse. The platform can also be used to help companies with marketing and advertising, figuring out how to better target campaigns to the right audiences, and so on.

Peak is not the first company that has seized on the concept of using a “general” AI to give non-tech organizations the same kinds of superpowers that the likes of big tech now use in their own businesses everyday.

Sometimes the ambition has outstripped the returns, however.

Witness Element AI, a highly-touted startup backed by a long list of top-shelf strategic and financial investors to build, essentially, an AI services business for non-tech companies to use as they might these days use Accenture. It never quite got there, though, and was acquired by ServiceNow last year at a devalued price of $500 million, the customer deals it had were wound down, and the tech was integrated into the bigger company’s stack.

Other efforts within hugely successful tech companies have not fared that well either.

“Einstein’s features are essentially useless, and you can quote me on that,” said Potter of Salesforce’s in-house CRM AI business. “Because it is too generic, it doesn’t predict anything useful.”

And that is perhaps the crux of why Peak AI is working for now: it has remained focused for now on a limited number of segments of the market, in particular those with physical objects as the end product, giving the AI that it has built a more targeted end point. In other words, it’s “general” but only for specific industries.

And it claims that this is paying off. Peak’s customers have reported a 5% increase in total company revenues, a doubling of return on advertising spend, a 12% reduction in inventory holdings and a 5% reduction in supply chain costs, according to the company (although it doesn’t specify which companies, which products or anything that points to who or what is being described).

“Richard and the excellent Peak team have a compelling vision to optimize entire businesses through Decision Intelligence and they’re delivering real-world benefits to a raft of household name customers already,” said Richard Anton, a general partner at Oxx, in a statement. “The pandemic has meant digitization is no longer a choice; it’s a requirement. Peak has made it easier for businesses to get started and see rapid results from AI-enabled decision making. We are delighted to support Peak on their way to becoming the category-defining global leader in Decision Intelligence.” Anton is joining the board with this round.

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