Tag Archive for: IT

Logging startups are suddenly hot as CrowdStrike nabs Humio for $400M

A couple of weeks ago SentinelOne announced it was acquiring high-speed logging platform Scalyr for $155 million. Just this morning CrowdStrike struck next, announcing it was buying unlimited logging tool Humio for $400 million.

In Humio, CrowdStrike gets a company that will provide it with the ability to collect unlimited logging information. Most companies have to pick and choose what to log and how long to keep it, but with Humio, they don’t have to make these choices, with customers processing multiple terabytes of data every single day.

Humio CEO Geeta Schmidt writing in a company blog post announcing the deal described her company in similar terms to Scalyr, a data lake for log information:

“Humio had become the data lake for these enterprises enabling searches for longer periods of time and from more data sources allowing them to understand their entire environment, prepare for the unknown, proactively prevent issues, recover quickly from incidents, and get to the root cause,” she wrote.

That means with Humio in the fold, CrowdStrike can use this massive amount of data to help deal with threats and attacks in real time as they are happening, rather than reacting to them and trying to figure out what happened later, a point by the way that SentinelOne also made when it purchased Scalyr.

“The combination of real-time analytics and smart filtering built into CrowdStrike’s proprietary Threat Graph and Humio’s blazing-fast log management and index-free data ingestion dramatically accelerates our [eXtended Detection and Response (XDR)] capabilities beyond anything the market has seen to date,” CrowdStrike CEO and co-founder George Kurtz said in a statement.

While two acquisitions don’t necessarily make a trend, it’s clear that security platform players are suddenly seeing the value of being able to process the large amounts of information found in logs, and they are willing to put up some cash to get that capability. It will be interesting to see if any other security companies react with a similar move in the coming months.

Humio was founded in 2016 and raised just over $31 million, according to Pitchbook Data. Its most recent funding round came in March 2020, a $20 million Series B led by Dell Technologies Capital. It would appear to be a decent exit for the startup.

CrowdStrike was founded in 2011 and raised over $480 million before going public in 2019. The deal is expected to close in the first quarter, and is subject to typical regulatory oversight.

Census raises $16M Series A to help companies put their data warehouses to work

Census, a startup that helps businesses sync their customer data from their data warehouses to their various business tools like Salesforce and Marketo, today announced that it has raised a $16 million Series A round led by Sequoia Capital. Other participants in this round include Andreessen Horowitz, which led the company’s $4.3 million seed round last year, as well as several notable angles, including Figma CEO Dylan Field, GitHub CTO Jason Warner, Notion COO Akshay Kothari and Rippling CEO Parker Conrad.

The company is part of a new crop of startups that are building on top of data warehouses. The general idea behind Census is to help businesses operationalize the data in their data warehouses, which was traditionally only used for analytics and reporting use cases. But as businesses realized that all the data they needed was already available in their data warehouses and that they could use that as a single source of truth without having to build additional integrations, an ecosystem of companies that operationalize this data started to form.

The company argues that the modern data stack, with data warehouses like Amazon Redshift, Google BigQuery and Snowflake at its core, offers all of the tools a business needs to extract and transform data (like Fivetran, dbt) and then visualize it (think Looker).

Tools like Census then essentially function as a new layer that sits between the data warehouse and the business tools that can help companies extract value from this data. With that, users can easily sync their product data into a marketing tool like Marketo or a CRM service like Salesforce, for example.

Image Credits: Census

Three years ago, we were the first to ask, ‘Why are we relying on a clumsy tangle of wires connecting every app when everything we need is already in the warehouse? What if you could leverage your data team to drive operations?’ When the data warehouse is connected to the rest of the business, the possibilities are limitless,” Census explains in today’s announcement. “When we launched, our focus was enabling product-led companies like Figma, Canva, and Notion to drive better marketing, sales, and customer success. Along the way, our customers have pulled Census into more and more scenarios, like auto-prioritizing support tickets in Zendesk, automating invoices in Netsuite, or even integrating with HR systems.

Census already integrates with dozens of different services and data tools and its customers include the likes of Clearbit, Figma, Fivetran, LogDNA, Loom and Notion.

Looking ahead, Census plans to use the new funding to launch new features like deeper data validation and a visual query experience. In addition, it also plans to launch code-based orchestration to make Census workflows versionable and make it easier to integrate them into an enterprise orchestration system.

Anthony Lin named permanent managing director and head of Intel Capital

When Wendell Brooks stepped down as managing partner and head of Intel Capital last August, Anthony Lin was named to replace him on an interim basis. At the time, it wasn’t clear if he would be given the role permanently, but today, six months later, the answer is known.

In a letter to the firm’s portfolio CEOs published on the company website, Lin mentioned, almost casually, that he had taken on the two roles on a permanent basis. “Personally, I want to share that I have been appointed to managing partner and head of Intel Capital. I have been a member of the investment committee for the past several years and am humbly awed by the talent of our entrepreneurs and our team,” he wrote.

Lin takes over in a time of turmoil for Intel as the company struggles to regain its place in the semiconductor business that it dominated for decades. Meanwhile, Intel itself has a new CEO with Pat Gelsinger returning in January from VMware to lead the organization.

As the corporate investment arm of Intel, it looks for companies that can help the parent company understand where to invest resources in the future. If that is its goal, perhaps it hasn’t done a great job, as Intel has lost some of its edge when it comes to innovation.

Lin, who was formerly head of mergers and acquisitions and international investing at the firm, can use the power of the firm’s investment dollars to try to help point the parent company in the right direction and help find new ways to build innovative solutions on the Intel platform.

Lin acknowledged how challenging 2020 was for everyone, and his company was no exception, but the firm invested in 75 startups, including 35 new deals and 40 deals involving companies in which it had previously invested. It has also made a commitment to invest in companies with more diverse founders. To that end, 30% of new venture-stage dollars went to startups led by diverse leaders, according to Lin.

What’s more, the company made a five-year commitment that 15% of all its deals would go to companies with Black founders. It made some progress toward that goal, but there is still a ways to go. “At the end of 2020, 9% of our new venture deals and 15% of our venture dollars committed were in companies led by Black founders. We know there is more progress to be made and we will continue to encourage, foster and invest in diverse and inclusive teams,” he wrote.

Lin faces a big challenge ahead as he takes over a role that had the same leader for the first 28 years in Arvind Sodhani. His predecessor, Brooks, was there for five years. Now it passes to Lin, and he needs to use the firm’s investment might to help Gelsinger advance the goals of the broader firm, while making sound investments.

Why do SaaS companies with usage-based pricing grow faster?

Today we know of HubSpot — the maker of marketing, sales and service software products — as a preeminent public company with a market cap above $17 billion. But HubSpot wasn’t always on the IPO trajectory.

For its first five years in business, HubSpot offered three subscription packages ranging in price from $3,000 to $18,000 per year. The company struggled with poor churn and anemic expansion revenue. Net revenue retention was near 70%, a far cry from the 100%+ that most SaaS companies aim to achieve.

Something needed to change. So in 2011, they introduced usage-based pricing. As customers used the software to generate more leads, they would proportionally increase their spend with HubSpot.  This pricing change allowed HubSpot to share in the success of its customers.

In a usage-based model, expansion “just happens” as customers are successful.

By the time HubSpot went public in 2014, net revenue retention had jumped to nearly 100% — all without hurting the company’s ability to acquire new customers.

HubSpot isn’t an outlier. Public SaaS companies that have adopted usage-based pricing grow faster because they’re better at landing new customers, growing with them and keeping them as customers.

Image Credits: Kyle Poyar

Widen the top of the funnel

In a usage-based model, a company doesn’t get paid until after the customer has adopted the product. From the customer’s perspective, this means that there’s no risk to try before they buy. Products like Snowflake and Google Cloud Platform take this a step further and even offer $300+ in free usage credits for new developers to test drive their products.

Many of these free users won’t become profitable — and that’s okay. Like a VC firm, usage-based companies are making a portfolio of bets. Some of those will pay off spectacularly — and the company will directly share in that success.

Top-performing companies open up the top of the funnel by making it free to sign up for their products. They invest in a frictionless customer onboarding experience and high-quality support so that new users get hooked on the platform. As more new users become active, there’s a stronger foundation for future customer growth.

Sinch acquires Inteliquent for $1.14B to take on Twilio in the US

After raising $690 million from SoftBank in December to make acquisitions, the Sweden-based cloud communications company Sinch has followed through on its strategy in that department. Today the company announced that it is acquiring Inteliquent, an interconnection provider for voice communications in the U.S. currently owned by private equity firm GTCR, for $1.14 billion in cash.

And to finance the deal, Sinch said it has raised financing totaling SEK8.2 billion — $986 million — from Handelsbanken and Danske Bank, along with other facilities it had in place.

The deal will give Sinch — a competitor to Twilio with a range of messaging, calling and marketing (engagement) APIs for those building communications into their services in mobile apps and other services — a significant foothold in the U.S. market.

Inteliquent — a profitable company with 500 employees and revenues of $533 million, gross profit of $256 million and EBITDA of $135 million in 2020 — claims to be one of the biggest voice carriers in North America, serving both other service providers and enterprises. Its network connects to all the major telcos, covering 94% of the U.S. population, with more than 300 billion minutes of voice calls and 100 million phone numbers handled annually for customers.

Sinch is publicly traded in Sweden — where its market cap is currently at $13 billion (just over 108 billion Swedish krona) — and the acquisition begs the question of whether the company plans to establish more of a financial presence in the U.S., for example with a listing there. We have asked the company what its next steps might be and will update this post as and when we learn more.

“Becoming a leader in the U.S. voice market is key to establish Sinch as the leading global cloud communications platform,” said Oscar Werner, Sinch CEO, in a statement. “Inteliquent serves the largest and most demanding voice customers in America with superior quality backed by a fully-owned network across the entire U.S.. Our joint strengths in voice and messaging provide a unique position to grow our business and power a superior customer experience for our customers.”

Inteliquent provides two main areas of service, Communications-Platform-as-a-Service (CPaaS) for API-based services to provide voice calling and phone numbers; and more legacy Infrastructure-as-a-Service (IaaS) products for telcos such as off-net call termination (when a call is handed off from one carrier to another) and toll-free numbers. These each account for roughly half of the total business although — unsurprisingly — the CPaaS business is growing at twice the rate of IaaS.

Its business, like many others focusing on services for people who are relying more on communications services as they are seeing each other in person less — saw a surge of use this past year, it said. (Revenues adjusted without COVID lift, it noted, would have been $499 million, so still healthy.)

Sinch is focused on delivering unparalleled customer experiences at scale and with the investors we have today, we believe we have the financial muscle for both extensive product development and M&A that is needed to take advantage of a consolidating global market as we continue building the leading CPaaS company,” Werner told TechCrunch over email.

As for Sinch, since being founded by CLX in 2008 (its name was a rebrand after CLX acquired Sinch, which spun out from Rebtel in 2014) to take on the business of providing communications tools to developers, it has been on an acquisition roll to bulk up its geographical reach and the services that it provides to those customers.

Deals have included, most recently, buying ACL in India for $70 million and SAP’s digital interconnect business for $250 million. The deals — combined with Twilio’s own acquisitions of companies like SendGrid for $2 billion and last year’s Segment for $3.2 billon, speak both to the bigger trend of consolidation in the digital (API-based) communications space, as well as the huge value that is contained within it.

Inteliquent itself had been in private equity hands before this, controlled by GTCR based in Chicago, like Inteliquent itself. According to PitchBook, its most recent financing was a mezzanine loan from Oaktree Capital in 2018 for just under $19 million.

Interestingly, Inteliquent itself has been an investor in innovative communications startups, participating in a Series B for Zipwhip, a startup that is building better ways to integrate mobile messaging tools into landline services.

“We’re excited about the tremendous opportunities this combination unlocks, expanding the services we can provide to our customers. Combining our leading voice offering with Sinch’s global messaging capabilities truly positions us for leadership in the rapidly developing market for cloud communications“, comments Ed O’Hara, Inteliquent CEO, in a statement.

vArmour, the multi-cloud security startup, raises $58M en route to IPO

Enterprises have been loading more of their operations into cloud — and, more often than not, multi-cloud — environments over the last year, creating vast networks of services that can be complex to manage. Today, vArmour, a startup that provides ways to manage in real time and ultimately secure how applications (and people) work in those fragmented environments, is announcing funding to capitalize on the demand for its services.

The Bay Area startup has picked up funding of $58 million in what it described as an oversubscribed round. Co-led by previous backers AllegisCyber Capital and NightDragon, existing investors Standard Chartered Ventures, Highland Capital Partners, Australian carrier Telstra, Redline Capital and EDBI also participated.

CEO Tim Eades (who co-founded the company with Roger Lian) said this round is likely to be its final fundraising ahead of an IPO for the company.

“We had one hell of a year in 2020 with companies rushing to the cloud,” he said in an interview, with net new annual recurring revenue doubling year over year in the last year. It started out, he noted, with perhaps 10% of business processes in the cloud, and ended at more like 50%. “Now the focus for us is to get to the public markets, maybe in two or 2.5 years from now.”

The company appointed a CFO last October as part of its go-public plan, he noted — Chris Dentiste, who previously had been the CFO of RSA. “His job is to help me find the right window. My job is to make sure we have enough fuel in the tank, and we do,” said Eades.

He added that the company is likely also to look at making some acquisitions in the meantime. A recent launch of an AI lab in Calgary, Canada, points to one area where we might see some activity.

The company is not disclosing its valuation, although Eades confirmed it was a significant up-round. It has raised $197 million to date.

For some context, in the last round of funding that we covered — a $44 million round in 2019 led by the same two investors — we mentioned a PitchBook estimate of $420 million from the previous round — a figure that the company did not dispute with us at the time.

VArmour has been around for several years, with the first three spent in stealth mode, quietly building its technology, raising money and amassing early customers. Those customers, Eades said, fall into categories like telecommunications (strategic backer Telstra being one of them), and financial services.

Those industries speak largely to the challenges that vArmour is addressing in its business.

Legacy businesses in critical verticals often pre-date the modern era of business, and while many of them are going through what enterprise people like to refer to as “digital transformation”, the evolution is not a smooth one.

In many cases, adopting new technologies can be slow, and in almost every case, when you are talking about large enterprises, the changes are very piecemeal, affecting one particular service, or region, or department, or even a subsection of any of those.

All of this means that for malicious actors, there are a number of options to tackle when setting out to look for vulnerabilities in a business or its network, and for those on the inside, it makes for a very complicated and fragmented situation when it comes to monitoring those networks and the services running on them, finding vulnerabilities or suspicious activity, and doing something about that. VArmour’s term that it uses for this is “Application Relationship Management.”

Eades — whose background includes working for the likes of IBM but also leading a number of startups acquired by bigger technology giants — has first-hand understanding of how that complexity looks from both sides, from the end user end and from the service provider end. That is in essence what his company has identified and is trying to fix.

Having started out in managing application policies and providing insights to protect on that front, the company is expanding the range of tools that it provides with the recent launch of identity access management on top of that.

But that is likely to be just one of the product steps that it takes to tackle what remains a difficult problem to fix, as its growth is related not just to the growth of activity on a network, but further digital migration of services, and the rise of new technology within an organization’s stack.

(And that is also an area that vArmour is not alone in considering, or even the only approach to tackling it: consider yesterday’s news of Palo Alto Networks acquiring Bridgecrew to extend its own ability to provide automated security monitoring services to DevOps teams.)

“Managing risk and resiliency in the hybrid cloud is one of the most significant security challenges for enterprises,” said Bob Ackerman, founder and managing director at AllegisCyber Capital, in a statement. “vArmour’s platform provides the visibility, controls, and accountability necessary to actively manage these challenges and has done this for hundreds of customers. We are ecstatic to be part of their next stage of growth.”

“As applications become more complex, more distributed, and more targeted by attackers, the importance of full visibility into the relationships between applications becomes increasingly important,” added Dave DeWalt, founder of NightDragon. “vArmour’s approach to application relationship management ensures that enterprises of all sizes can continuously audit, respond, and control identity relationships to best protect their important IP, and mitigate risk to the business.”

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.

TigerGraph raises $105M Series C for its enterprise graph database

TigerGraph, a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. The round was led by Tiger Global and brings the company’s total funding to over $170 million.

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph founder and CEO, Yu Xu. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Current TigerGraph customers include the likes of Amgen, Citrix, Intuit, Jaguar Land Rover and UnitedHealth Group. Using a SQL-like query language (GSQL), these customers can use the company’s services to store and quickly query their graph databases. At the core of its offerings is the TigerGraphDB database and analytics platform, but the company also offers a hosted service, TigerGraph Cloud, with pay-as-you-go pricing, hosted either on AWS or Azure. With GraphStudio, the company also offers a graphical UI for creating data models and visually analyzing them.

The promise for the company’s database services is that they can scale to tens of terabytes of data with billions of edges. Its customers use the technology for a wide variety of use cases, including fraud detection, customer 360, IoT, AI and machine learning.

Like so many other companies in this space, TigerGraph is facing some tailwind thanks to the fact that many enterprises have accelerated their digital transformation projects during the pandemic.

“Over the last 12 months with the COVID-19 pandemic, companies have embraced digital transformation at a faster pace driving an urgent need to find new insights about their customers, products, services, and suppliers,” the company explains in today’s announcement. “Graph technology connects these domains from the relational databases, offering the opportunity to shrink development cycles for data preparation, improve data quality, identify new insights such as similarity patterns to deliver the next best action recommendation.”

Fictiv nabs $35M to build out the ‘AWS of hardware manufacturing’

Hardware may indeed be hard, but a startup that’s built a platform that might help buck that idea by making hardware a little easier to produce has announced some more funding to continue building out its platform.

Fictiv, which positions itself as the “AWS of hardware” — providing a platform for those needing to produce some hardware, giving them a place to design, price and order those pieces and eventually get them from one place to another — has raised $35 million.

Fictiv will be using the money to continue building out its platform and the supply chain that underpins its business, which the startup describes as a “Digital Manufacturing Ecosystem.”

Dave Evans, the CEO and founder, said that the focus of the company has been and will continue to be not mass-produced items but prototypes and other objects that are specialized and by their nature not aimed at mass markets, such as particular medical devices.

“We are focused on 1,000 to 10,000,” he said in an interview, which he said was a challenging number of produce as these kinds of jobs fall short of seeing bigger economies of scale, but are still too big to be considered small and inexpensive. “This is the range where most products still die.”

The round — a Series D — is coming from a mix of strategic and financial investors. Led by 40 North Ventures, it also includes Honeywell, Sumitomo Mitsui Banking Corp., Adit Ventures and M20 (Microsoft’s strategic investment arm), as well as past backers Accel, G2VP and Bill Gates.

The funding brings the total raised by Fictiv to $92 million. Its valuation is not being disclosed.

Fictiv last raised money nearly two years ago — a $33 million round in early 2019 — and the interim years have well and truly tested the business concept that he envisioned when first establishing the startup.

Even before the pandemic, “we had no idea what the trade wars between the U.S. and China would do,” he said. Quite abruptly, the supply chain got completely “crunched, with everything shut down” in China over those tariff disputes.

Fictiv’s fix was to shift manufacturing to other parts of Asia such as India, and to the U.S. That, in turn, ended up helping the company when the first wave of COVID-19 hit, initially in China.

Then came the global outbreak, and Fictiv found itself shifting yet again as plants shut down in the countries where it had recently opened.

Then, with trade issues cooled down, Fictiv again reignited relationships and operations in China, where COVID had been contained early, to continue working there.

“I guess we were just in the right places at the right time,” he said.

The startup made its name early on with building prototypes for tech companies neighboring it in the Bay Area, startups build VR and other gadgets, with services that included injection molding, CNC machining, 3D printing and urethane casting, with customers using cloud-based software to design and order parts, which then were routed by Fictiv to the plants best suited to make them.

These days, while that business continues, Fictiv is also working with very large global multinationals on their efforts with smaller-scale manufacturing, products that are either new or unable to be tooled as efficiently in their existing factories.

Work that it does for Honeywell, for example, includes mostly hardware for its aerospace division. Medical devices and robotics are two other big areas for the company currently, it said.

Fictiv is not the only company eyeing up this opportunity. Others that have been building marketplaces that either directly compete with what Fictiv has built, or targets other aspects of the chain such as marketplaces for design, or marketplaces for factories to connect with designers, or materials designers include Geomiq in England, Carbon (which is also backed by 40 North), Fathom in Oakland, Kreatize in Germany, Plethora (backed by the likes of GV and Founders Fund), and Xometry (which also recently raised a significant round).

Evans and his investors are careful not to describe what they do as specifically industrial technology to keep the focus on the bigger opportunities with digital transformation and of course the kinds of applications one might have for the platform that Fictiv has built.

“Industrial tech is a misnomer. I think of this as digital transformation, cloud-based SaaS and AI,” said Marianne Wu, a managing director at 40 North Ventures. “The baggage of industrial tech tells you everything about the opportunity.”

Fictiv’s pitch is that by taking on the supply-chain management of producing hardware for a business, it can produce hardware using its platform in a week, a process that might have previously taken three months to complete, which can mean lower costs and more efficiency.

“And when you speed up development, you see more products getting introduced,” he said.

There is still a lot of work to be done, however. One of the big sticking points in manufacturing has been the carbon footprint that it creates in production, and also in terms of the resulting goods that are produced.

That will likely become even more of an issue, if the Biden administration follows through on its own commitments to reduce emissions and to lean more on companies to follow through for those ends.

Evans is all too aware of that issue and accepts that manufacturing may be one of the hardest to shift.

“Sustainability and manufacturing are not synonymous,” he admits. And while materials and manufacturing will take longer to evolve, for now, he said the focus has been on how to implement better private and public and carbon credits programs. He envisions a better market for carbon credits, he said, with Fictiv doing its part with the launch of its own tool for measuring this.

“Sustainability is ripe for disruption, and we hope to have the first carbon-neutral shipping program, giving customers better choice for more sustainability. It’s on the shoulders of companies like us to drive this.”

Spectral raises $6.2M for its DevSecOps service

Tel Aviv-based Spectral is bringing its new DevSecOps code scanner out of stealth today and announcing a $6.2 million funding round. The startup’s programming language-agnostic service aims to automated code security development teams to help them detect potential security issues in their codebases and logs, for example. Those issues could be hardcoded API keys and other credentials, but also security misconfiguration and shadow IT assets.

The four-person founding team has a deep background in building AI, monitoring and security tools. CEO Dotan Nahum was a Chief Architect at Klarna and Conduit (now Como, though you may remember Conduit from its infamous toolbar that was later spun off), and the CTO at Como and HiredScore, for example. Other founders worked on building monitoring tools at Elastic and HP and on security at Akamai. As Nahum told me, the idea for Spectral came to him and co-founder and COO Idan Didi during their shared time at mobile application build Conduit/Como.

Image Credits: Spectral

“We basically stored certificates for every client that we had, so we could submit their apps to the various marketplaces,” Nahum told me of his experience at Counduit/Como. “That certificate really proves that you are who you are and it’s super sensitive. And at each point at these companies, I really didn’t have the right tools to actually make sure that we’re storing, handling, detecting [this information] and making sure that it doesn’t leak anywhere.”

Nahum decided to quit his current job and started to build a prototype to see if he could build a tool that could solve this problem (and his work on this prototype quickly discovered an issue at Slack). And as enterprises move from on-premises software to the cloud and to microservices and DevOps, the need for better DevSecOps tools is only increasing.

“The emphasis is to create a great developer experience,” Nahum noted. “Because that’s where we started from. We didn’t start as a top down cyber tool. We started as a modest DevOps friendly, developer-friendly tool.”

Image Credits: Spectral

One interesting aspect of Spectral’s approach, which uses a machine learning model to detect these breaches across programming languages, is that it also scans public-facing systems. On the backend, Spectral integrates with tools like Travis, Jenkins, CircleCI, Webpack, Gatsby and Netlify, but it can also monitor Slack, npm, maven and log providers — tools that most companies don’t really think about when they think about threat modeling.

“Our solution prevents security breaches on a daily basis,” said Spectral co-founder and COO Idan Didi. “The pain points we’re addressing resonate strongly across every company developing software, because as they evolve from own-code to glue-code to no-code approaches they allow their developers to gain more speed, but they also add on significant amounts of risk. Spectral lets developers be more productive while keeping the company secure.”

The company was founded in mid-2020, but it already has about 15 employees and counts a number of large publicly-listed companies among its customers.