Personal blog of Yzmir Ramirez

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.

Fylamynt, a new service that helps businesses automate their cloud workflows, today announced both the official launch of its platform as well as a $6.5 million seed round. The funding round was led by Google’s AI-focused Gradient Ventures fund. Mango Capital and Point72 Ventures also participated.

At first glance, the idea behind Fylamynt may sound familiar. Workflow automation has become a pretty competitive space, after all, and the service helps developers connect their various cloud tools to create repeatable workflows. We’re not talking about your standard IFTTT- or Zapier -like integrations between SaaS products, though. The focus of Fylamynt is squarely on building infrastructure workflows. While that may sound familiar, too, with tools like Ansible and Terraform automating a lot of that already, Fylamynt sits on top of those and integrates with them.

Image Credits: Fylamynt

“Some time ago, we used to do Bash and scripting — and then [ … ] came Chef and Puppet in 2006, 2007. SaltStack, as well. Then Terraform and Ansible,” Fylamynt co-founder and CEO Pradeep Padala told me. “They have all done an extremely good job of making it easier to simplify infrastructure operations so you don’t have to write low-level code. You can write a slightly higher-level language. We are not replacing that. What we are doing is connecting that code.”

So if you have a Terraform template, an Ansible playbook and maybe a Python script, you can now use Fylamynt to connect those. In the end, Fylamynt becomes the orchestration engine to run all of your infrastructure code — and then allows you to connect all of that to the likes of DataDog, Splunk, PagerDuty Slack and ServiceNow.

Image Credits: Fylamynt

The service currently connects to Terraform, Ansible, Datadog, Jira, Slack, Instance, CloudWatch, CloudFormation and your Kubernetes clusters. The company notes that some of the standard use cases for its service are automated remediation, governance and compliance, as well as cost and performance management.

The company is already working with a number of design partners, including Snowflake.

Fylamynt CEO Padala has quite a bit of experience in the infrastructure space. He co-founded ContainerX, an early container-management platform, which later sold to Cisco. Before starting ContainerX, he was at VMWare and DOCOMO Labs. His co-founders, VP of Engineering Xiaoyun Zhu and CTO David Lee, also have deep expertise in building out cloud infrastructure and operating it.

“If you look at any company — any company building a product — let’s say a SaaS product, and they want to run their operations, infrastructure operations very efficiently,” Padala said. “But there are always challenges. You need a lot of people, it takes time. So what is the bottleneck? If you ask that question and dig deeper, you’ll find that there is one bottleneck for automation: that’s code. Someone has to write code to automate. Everything revolves around that.”

Fylamynt aims to take the effort out of that by allowing developers to either write Python and JSON to automate their workflows (think “infrastructure as code” but for workflows) or to use Fylamynt’s visual no-code drag-and-drop tool. As Padala noted, this gives developers a lot of flexibility in how they want to use the service. If you never want to see the Fylamynt UI, you can go about your merry coding ways, but chances are the UI will allow you to get everything done as well.

One area the team is currently focusing on — and will use the new funding for — is building out its analytics capabilities that can help developers debug their workflows. The service already provides log and audit trails, but the plan is to expand its AI capabilities to also recommend the right workflows based on the alerts you are getting.

“The eventual goal is to help people automate any service and connect any code. That’s the holy grail. And AI is an enabler in that,” Padala said.

Gradient Ventures partner Muzzammil “MZ” Zaveri echoed this. “Fylamynt is at the intersection of applied AI and workflow automation,” he said. “We’re excited to support the Fylamynt team in this uniquely positioned product with a deep bench of integrations and a nonprescriptive builder approach. The vision of automating every part of a cloud workflow is just the beginning.”

The team, which now includes about 20 employees, plans to use the new round of funding, which closed in September, to focus on its R&D, build out its product and expand its go-to-market team. On the product side, that specifically means building more connectors.

The company offers both a free plan as well as enterprise pricing and its platform is now generally available.

Directly, a startup whose mission is to help build better customer service chatbots by using experts in specific areas to train them, has raised more funding as it opens up a new front to grow its business: APIs and a partner ecosystem that can now also tap into its expert network. Today Directly is announcing that it has added $11 million to close out its Series B at $51 million (it raised $20 million back in January of this year, and another $20 million as part of the Series B back in 2018).

The funding is coming from Triangle Peak Partners and Toba Capital, while its previous investors in the round included strategic backers Samsung NEXT and Microsoft’s M12 Ventures (who are both customers, alongside companies like Airbnb), as well as Industry Ventures, True Ventures, Costanoa Ventures and Northgate. (As we reported when covering the initial close, Directly’s valuation at that time was at $110 million post-money, and so this would likely put it at $120 million or higher, given how the business has expanded.)

While chatbots have now been around for years, a key focus in the tech world has been how to help them work better, after initial efforts saw so many disappointing results that it was fair to ask whether they were even worth the trouble.

Directly’s premise is that the most important part of getting a chatbot to work well is to make sure that it’s trained correctly, and its approach to that is very practical: find experts both to troubleshoot questions and provide answers.

As we’ve described before, its platform helps businesses identify and reach out to “experts” in the business or product in question, collect knowledge from them, and then fold that into a company’s AI to help train it and answer questions more accurately. It also looks at data input and output into those AI systems to figure out what is working, and what is not, and how to fix that, too.

The information is typically collected by way of question-and-answer sessions. Directly compensates experts both for submitting information as well as to pay out royalties when their knowledge has been put to use, “just as you would in traditional copyright licensing in music,” its co-founder Antony Brydon explained to me earlier this year.

It can take as little as 100 experts, but potentially many more, to train a system, depending on how much the information needs to be updated over time. (Directly’s work for Xbox, for example, used 1,000 experts but has to date answered millions of questions.)

Directly’s pitch to customers is that building a better chatbot can help deflect more questions from actual live agents (and subsequently cut operational costs for a business). It claims that customer contacts can be reduced by up to 80%, with customer satisfaction by up to 20%, as a result.

What’s interesting is that now Directly sees an opportunity in expanding that expert ecosystem to a wider group of partners, some of which might have previously been seen as competitors. (Not unlike Amazon’s AI powering a multitude of other businesses, some of which might also be in the market of selling the same services that Amazon does).

The partner ecosystem, as Directly calls it, use APIs to link into Directly’s platform. Meya, Percept.ai, and SmartAction — which themselves provide a range of customer service automation tools — are three of the first users.

“The team at Directly have quickly proven to be trusted and invaluable partners,” said Erik Kalviainen, CEO at Meya, in a statement. “As a result of our collaboration, Meya is now able to take advantage of a whole new set of capabilities that will enable us to deliver automated solutions both faster and with higher resolution rates, without customers needing to deploy significant internal resources. That’s a powerful advantage at a time when scale and efficiency are key to any successful customer support operation.”

The prospect of a bigger business funnel beyond even what Directly was pulling in itself is likely what attracted the most recent investment.

“Directly has established itself as a true leader in helping customers thrive during these turbulent economic times,” said Tyler Peterson, Partner at Triangle Peak Partners, in a statement. “There is little doubt that automation will play a tremendous role in the future of customer support, but Directly is realizing that potential today. Their platform enables businesses to strike just the right balance between automation and human support, helping them adopt AI-powered solutions in a way that is practical, accessible, and demonstrably effective.”

In January, Mike de la Cruz, who took over as CEO at the time of the funding announcement, said the company was gearing up for a larger Series C in 2021. It’s not clear how and if that will be impacted by the current state of the world. But in the meantime, as more organizations are looking for ways to connect with customers outside of channels that might require people to physically visit stores, or for employees to sit in call centres, it presents a huge opportunity for companies like this one.

“At its core, our business is about helping customer support leaders resolve customer issues with the right mix of automation and human support,” said de la Cruz in a statement. “It’s one thing to deliver a great product today, but we’re committed to ensuring that our customers have the solutions they need over the long term. That means constantly investing in our platform and expanding our capabilities, so that we can keep up with the rapid pace of technological change and an unpredictable economic landscape. These new partnerships and this latest expansion of our recent funding round have positioned us to do just that. We’re excited to be collaborating with our new partners, and very thankful to all of our investors for their support.”

As organizations look for safe and efficient ways of running their services in the new global paradigm of increased social distancing, a startup that has built a platform to help people verify their work details in a secure way is announcing a round of growth funding.

Truework, which provides a way for banks, apartment-rental agencies, and others to check the employment details of an applicant in a quick and secure manner online, has raised $30 million, money that CEO and co-founder Ryan Sandler said in an interview that it would use both grow its existing business, as well to explore adding more details — both via its own service and via third-party partnerships — to the identity information that it shares.

The Series B is being led by Activant Capital — a VC that focuses on B2B2C startups — with participation also from Sequoia Capital and Khosla Ventures, as well as a number of high profile execs and entrepreneurs — Jeff Weiner (LinkedIn); Tom Gonser (Docusign); William Hockey (Plaid); and Daniel Yanisse (Checkr) among them.

The LinkedIn connection is an interesting one. Both Sandler and co-founder Victor Kabdebon were engineers at LinkedIn working on profile and improving the kind of data that LinkedIn sources on its users (the third co-founder, Ethan Winchell, previously worked elsewhere), and while Sandler tells me that the idea for Truework came to them after both left the company, he sees LinkedIn “as a potential partner here,” so watch this space.

The problem that Truework is aiming to solve is the very clunky, and often insecure, nature of how organizations typically verify an individual’s employment information. Details about salary and where you work, and the job you do, are typically essential for larger financial transactions, whether it’s securing a mortgage or another financing loan, or renting an apartment, or for others who might need to verify that information for other purposes, such as staffing agencies.

Typically that kind of information gathering is time-consuming both to reach out to get and to confirm (Sandler cites statistics that say on average an HR person spends over 1,000 hours annually answering questions like these). And some of the systems that have been put in place to do that work — specifically consumer reporting agencies — have been proven not be as watertight in their security as you would hope.

“Your data is flowing around lots of third party platforms,” Sandler said. “You’re releasing a lot of information about yourself and you don’t know where the data is going and if it’s even accurate.”

Truework’s solution is based around a platform, and now an API, that a company buys into. In turn, it gives its employees the ability to consent to using it. If the employee agrees, Truework sources a worker’s place of employment and salary details. Then when a third party wants to verify that information for the person in question, it uses Truework to do so, rather than contacting the company directly.

Then, when those queries come in, Truework contacts the individual with an email or text about the inquiry, so that he/she can okay (or reject) the request. Truework’s Sandler said that it uses ISO27001, SOC2 Type 1 & 2 protections, but he also confirmed that it does store your data.

Currently the idea is that if you leave your job, your next employer would need to also be a Truework customer in order to update the information it has on you: the startup makes money by charging both larger enterprises to make the platform accessible to employees as well as those organizations that are querying for the information/verifications (small business employers using the platform can use it for free).

Over time, the plan will be to configure a way to update your profiles regardless of where you work.

So far, the concept has seen a lot of traction: there are 20,000 small businesses using the platform, as well as 100 enterprises, with the number of verifiers (its term for those requesting information) now at 40,000. Customers include The College Board, The Real Real, Oscar Health, The Motley Fool, and Tuft & Needle.

While all of this was built at a time before COVID-19, the global health pandemic has highlighted the importance of having more efficient and secure systems for doing work, especially at a time when many people are not in the office.

“Our biggest competitor is the fax machine and the phone call,” Sandler said, “but as companies move to more remote working, no one is manning the phones or fax machines. But these operations still need to happen.” Indeed, he points out that at the end of 2019, Truework had 25,000 verifiers. Nearly doubling its end-user customers speaks to the huge boost in business it has seen in the last five months.

That is part of the reason the company has attracted the investment it has.

“Truework’s platform sits at the center of consumers’ most important transactions and life events – from purchasing a home, to securing a new job,” said Steve Sarracino, founder and partner at Activant Capital, in a statement. “Up until now, the identity verification process has been painful, expensive, and opaque for all parties involved, something we’ve seen first-hand in the mortgage space. Starting with income and employment, Truework is setting the standard for consent-based verifications and unlocking the next wave of the digital economy. We’re thrilled to be partnering with this exceptional team as they continue to scale the platform.” Sarracino is joining the board with this round.

While a big focus in the world of tech right now may be on building more and better ways of connecting goods and services to people in as contact-free a way as possible, the bigger play around identity management has been around for years, and will continue to be a huge part of how the internet develops in the future.

The fax and phone may be the primary tools these days for verifying employment information, but on a more general level, there are companies like Facebook, Google and Apple already playing a big role in how we “log in” and use all kinds of services online. They, along with others focused squarely on the identity and verification space (and Truework works with some of them), and using a myriad of approaches that include biometrics, ‘wallet’-style passports that link to information elsewhere, and more, will all continue to try to make the case for why they might be the most trusted provider of that layer of information, at a time when we may want to share less and especially share less with multiple parties.

That is the bigger opportunity that investors are betting on here.

“The increasing momentum Truework has seen since its founding in 2017 demonstrates the critical need for transformation in this space,” said Alfred Lin, partner at Sequoia, in a statement. “Privacy, especially around identity data, is becoming increasingly top of mind for consumers and how they make transactions online.”

Truework has now raised close to $45 million, and it’s not disclosing its valuation.

NASA and Hewlett Packard Enterprise (HPE) have teamed up to build a new supercomputer, which will serve NASA’s Ames Research Center in California and develop models and simulations of the landing process for Artemis Moon missions.

The new supercomputer is called “Aitken,” named after American astronomer Robert Grant Aitken, and it can run simulations at up to 3.69 petaFLOPs of theoretical performance power. Aitken is custom-designed by HPE and NASA to work with the Ames modular data center, which is a project it undertook starting in 2017 to massively reduce the amount of water and energy used in cooling its supercomputing hardware.

Aitken employs second-generation Intel Xeon processors, Mellanox InfiniBand high-speed networking, and has 221 TB of memory on board for storage. It’s the result of four years of collaboration between NASA and HPE, and it will model different methods of entry, descent and landing for Moon-destined Artemis spacecraft, running simulations to determine possible outcomes and help determine the best, safest approach.

This isn’t the only collaboration between HPE and NASA: The enterprise computer maker built for the agency a new kind of supercomputer able to withstand the rigors of space, and sent it up to the ISS in 2017 for preparatory testing ahead of potential use on longer missions, including Mars. The two partners then opened that supercomputer for use in third-party experiments last year.

HPE also announced earlier this year that it was buying supercomputer company Cray for $1.3 billion. Cray is another long-time partner of NASA’s supercomputing efforts, dating back to the space agency’s establishment of a dedicated computational modeling division and the establishing of its Central Computing Facility at Ames Research Center.

Salesforce is moving to a two CEO model after it promoted executive Keith Block, who was most recently COO, to the position of co-CEO. Block will work alongside Salesforce’s flamboyant founder, chairman and CEO (now co-CEO) Marc Benioff, with both reporting directly to the company’s board.

Block joined Salesforce five years ago after spending 25 years at Oracle, which is where he first met Benioff, who has called him “the best sales executive the enterprise software industry has ever seen.”

News of the promotion was not expected, but in many ways it is just a more formalized continuation of the working relationship that the two executives have developed.

Block’s focus is on leading global sales, alliances and channels, industry strategy, customer success and consulting services, while he also oversees the company’s day-to-day operations. Benioff, meanwhile, heads of product, technology and culture. The latter is a major piece for Salesforce — for example, it has spent Salesforce has spent over $8 million since 2015 to address the wage gaps pertaining to race and gender, while the company has led the tech industry in pushing LGBT rights and more.

“Keith has been my trusted partner in running Salesforce for the past five years, and I’m thrilled to welcome him as co-CEO,” said Benioff in a statement. “Keith has outstanding operational expertise and corporate leadership experience, and I could not be happier for his promotion and this next level of our partnership.”

This clear division of responsibility from the start may enable Salesforce to smoothly transition to this new management structure, whilst helping it continue its incredible business growth. Revenue for the most recent quarter surpassed $3 billion for the first time, jumping 25 percent year-on-year while its share price is up 60 percent over the last twelve months.

When Block became COO in 2016, Benioff backed him to take the company past $10 billion in revenue and that feat was accomplished last November. Benioff enjoys setting targets and he’s been vocal about reaching $60 billion revenue by 2034, but in the medium term he is looking at reaching $23 billion by 2020 and the co-CEO strategy is very much a part of that growth target.

“We’ve said we’ll do $23 billion in fiscal year 2022 and we can now just see tremendous trajectory beyond that. Cementing Keith and I together as the leadership is really the key to accelerating future growth,” he told Fortune in an interview.

Salesforce is moving to a two CEO model after it promoted executive Keith Block, who was most recently COO, to the position of co-CEO. Block will work alongside Salesforce’s flamboyant founder, chairman and CEO (now co-CEO) Marc Benioff, with both reporting directly to the company’s board.

Block joined Salesforce five years ago after spending 25 years at Oracle, which is where he first met Benioff, who has called him “the best sales executive the enterprise software industry has ever seen.”

News of the promotion was not expected, but in many ways it is just a more formalized continuation of the working relationship that the two executives have developed.

Block’s focus is on leading global sales, alliances and channels, industry strategy, customer success and consulting services, while he also oversees the company’s day-to-day operations. Benioff, meanwhile, heads of product, technology and culture. The latter is a major piece for Salesforce — for example, it has spent Salesforce has spent over $8 million since 2015 to address the wage gaps pertaining to race and gender, while the company has led the tech industry in pushing LGBT rights and more.

“Keith has been my trusted partner in running Salesforce for the past five years, and I’m thrilled to welcome him as co-CEO,” said Benioff in a statement. “Keith has outstanding operational expertise and corporate leadership experience, and I could not be happier for his promotion and this next level of our partnership.”

This clear division of responsibility from the start may enable Salesforce to smoothly transition to this new management structure, whilst helping it continue its incredible business growth. Revenue for the most recent quarter surpassed $3 billion for the first time, jumping 25 percent year-on-year while its share price is up 60 percent over the last twelve months.

When Block became COO in 2016, Benioff backed him to take the company past $10 billion in revenue and that feat was accomplished last November. Benioff enjoys setting targets and he’s been vocal about reaching $60 billion revenue by 2034, but in the medium term he is looking at reaching $23 billion by 2020 and the co-CEO strategy is very much a part of that growth target.

“We’ve said we’ll do $23 billion in fiscal year 2022 and we can now just see tremendous trajectory beyond that. Cementing Keith and I together as the leadership is really the key to accelerating future growth,” he told Fortune in an interview.