Personal blog of Yzmir Ramirez

APIs are the grease turning the gears and wheels for many organizations’ IT systems today, but as APIs grow in number and use, tracking how they work (or don’t work) together can become complex and potentially critical if something goes awry. Now, a startup that has built an innovative way to help with this is announcing some funding after getting traction with big enterprises adopting its approach.

Tyk, which has built a way for users to access and manage multiple internal enterprise APIs through a universal interface by way of GraphQL, has picked up $35 million, an investment that it will be using both for hiring and to continue enhancing and expanding the tools that it provides to users. Tyk has coined a term describing its approach to managing APIs and the data they produce — “universal data graph” — and today its tools are being used to manage APIs by some 10,000 businesses, including large enterprises like Starbucks, Societe Generale and Domino’s.

Scottish Equity Partners led the round, with participation also from MMC Ventures — its sole previous investor from a round in 2019 after boostrapping for its first five years. The startup is based out of London but works in a very distributed way — one of the co-founders is living in New Zealand currently — and it will be hiring and growing based on that principle, too. It has raised just over $40 million to date.

Tyk (pronounced like “tyke”, meaning small/lively child) got its start as an open source side project first for co-founder Martin Buhr, who is now the company’s CEO, while he was working elsewhere, as a “load testing thing,” in his words.

The shifts in IT toward service-oriented architectures, and building and using APIs to connect internal apps, led him to rethink the code and consider how it could be used to control APIs. Added to that was the fact that as far as Buhr could see, the API management platforms that were in the market at the time — some of the big names today include Kong, Apigee (now a part of Google), 3scale (now a part of RedHat and thus IBM), MuleSoft (now a part of Salesforce) — were not as flexible as his needs were. “So I built my own,” he said.

It was built as an open source tool, and some engineers at other companies started to use it. As it got more attention, some of the bigger companies interested in using it started to ask why he wasn’t charging for anything — a sure sign as any that there was probably a business to be built here, and more credibility to come if he charged for it.

“So we made the gateway open source, and the management part went into a licensing model,” he said. And Tyk was born as a startup co-founded with James Hirst, who is now the COO, who worked with Buhr at a digital agency some years before.

The key motivation behind building Tyk has stayed as its unique selling point for customers working in increasingly complex environments.

“What sparked interest in Tyk was that companies were unhappy with API management as it exists today,” Buhr noted, citing architectures using multiple clouds and multiple containers, creating more complexity that needed better management. “It was just the right time when containerization, Kubernetes and microservices were on the rise… The way we approach the multi-data and multi-vendor cloud model is super flexible and resilient to partitions, in a way that others have not been able to do.”

“You engage developers and deliver real value and it’s up to them to make the choice,” added Hirst. “We are responding to a clear shift in the market.”

One of the next frontiers that Tyk will tackle will be what happens within the management layer, specifically when there are potential conflicts with APIs.

“When a team using a microservice makes a breaking change, we want to bring that up and report that to the system,” Buhr said. “The plan is to flag the issue and test against it, and be able to say that a schema won’t work, and to identify why.”

Even before that is rolled out, though, Tyk’s customer list and its growth speak to a business on the cusp of a lot more.

“Martin and James have built a world-class team and the addition of this new capital will enable Tyk to accelerate the growth of its API management platform, particularly around the GraphQL focused Universal Data Graph product that launched earlier this year,” said Martin Brennan, a director at SEP, in a statement. “We are pleased to be supporting the team to achieve their global ambitions.”

Keith Davidson, a partner at SEP, is joining the Tyk board as a non-executive director with this round.

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.