Feb
11
2021
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Base Operations raises $2.2 million to modernize physical enterprise security

Typically when we talk about tech and security, the mind naturally jumps to cybersecurity. But equally important, especially for global companies with large, multinational organizations, is physical security — a key function at most medium-to-large enterprises, and yet one that to date, hasn’t really done much to take advantage of recent advances in technology. Enter Base Operations, a startup founded by risk management professional Cory Siskind in 2018. Base Operations just closed their $2.2 million seed funding round and will use the money to capitalize on its recent launch of a street-level threat mapping platform for use in supporting enterprise security operations.

The funding, led by Good Growth Capital and including investors like Magma Partners, First In Capital, Gaingels and First Round Capital founder Howard Morgan, will be used primarily for hiring, as Base Operations looks to continue its team growth after doubling its employe base this past month. It’ll also be put to use extending and improving the company’s product and growing the startup’s global footprint. I talked to Siskind about her company’s plans on the heels of this round, as well as the wider opportunity and how her company is serving the market in a novel way.

“What we do at Base Operations is help companies keep their people in operation secure with ‘Micro Intelligence,’ which is street-level threat assessments that facilitate a variety of routine security tasks in the travel security, real estate and supply chain security buckets,” Siskind explained. “Anything that the chief security officer would be in charge of, but not cyber — so anything that intersects with the physical world.”

Siskind has firsthand experience about the complexity and challenges that enter into enterprise security since she began her career working for global strategic risk consultancy firm Control Risks in Mexico City. Because of her time in the industry, she’s keenly aware of just how far physical and political security operations lag behind their cybersecurity counterparts. It’s an often overlooked aspect of corporate risk management, particularly since in the past it’s been something that most employees at North American companies only ever encounter periodically when their roles involve frequent travel. The events of the past couple of years have changed that, however.

“This was the last bastion of a company that hadn’t been optimized by a SaaS platform, basically, so there was some resistance and some allegiance to legacy players,” Siskind told me. “However, the events of 2020 sort of turned everything on its head, and companies realized that the security department, and what happens in the physical world, is not just about compliance — it’s actually a strategic advantage to invest in those sort of services, because it helps you maintain business continuity.”

The COVID-19 pandemic, increased frequency and severity of natural disasters, and global political unrest all had significant impact on businesses worldwide in 2020, and Siskind says that this has proven a watershed moment in how enterprises consider physical security in their overall risk profile and strategic planning cycles.

“[Companies] have just realized that if you don’t invest [in] how to keep your operations running smoothly in the face of rising catastrophic events, you’re never going to achieve the profits that you need, because it’s too choppy, and you have all sorts of problems,” she said.

Base Operations addresses this problem by taking available data from a range of sources and pulling it together to inform threat profiles. Their technology is all about making sense of the myriad stream of information we encounter daily — taking the wash of news that we sometimes associate with “doom-scrolling” on social media, for instance, and combining it with other sources using machine learning to extrapolate actionable insights.

Those sources of information include “government statistics, social media, local news, data from partnerships, like NGOs and universities,” Siskind said. That data set powers their Micro Intelligence platform, and while the startup’s focus today is on helping enterprises keep people safe, while maintaining their operations, you can easily see how the same information could power everything from planning future geographical expansion, to tailoring product development to address specific markets.

Siskind saw there was a need for this kind of approach to an aspect of business that’s essential, but that has been relatively slow to adopt new technologies. From her vantage point two years ago, however, she couldn’t have anticipated just how urgent the need for better, more scalable enterprise security solutions would arise, and Base Operations now seems perfectly positioned to help with that need.

Jul
08
2019
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The startups creating the future of RegTech and financial services

Technology has been used to manage regulatory risk since the advent of the ledger book (or the Bloomberg terminal, depending on your reference point). However, the cost-consciousness internalized by banks during the 2008 financial crisis combined with more robust methods of analyzing large datasets has spurred innovation and increased efficiency by automating tasks that previously required manual reviews and other labor-intensive efforts.

So even if RegTech wasn’t born during the financial crisis, it was probably old enough to drive a car by 2008. The intervening 11 years have seen RegTech’s scope and influence grow.

RegTech startups targeting financial services, or FinServ for short, require very different growth strategies — even compared to other enterprise software companies. From a practical perspective, everything from the security requirements influencing software architecture and development to the sales process are substantially different for FinServ RegTechs.

The most successful RegTechs are those that draw on expertise from security-minded engineers, FinServ-savvy sales staff as well as legal and compliance professionals from the industry. FinServ RegTechs have emerged in a number of areas due to the increasing directives emanating from financial regulators.

This new crop of startups performs sophisticated background checks and transaction monitoring for anti-money laundering purposes pursuant to the Bank Secrecy Act, the Office of Foreign Asset Control (OFAC) and FINRA rules; tracks supervision requirements and retention for electronic communications under FINRA, SEC, and CFTC regulations; as well as monitors information security and privacy laws from the EU, SEC, and several US state regulators such as the New York Department of Financial Services (“NYDFS”).

In this article, we’ll examine RegTech startups in these three fields to determine how solutions have been structured to meet regulatory demand as well as some of the operational and regulatory challenges they face.

Know Your Customer and Anti-Money Laundering

Mar
19
2019
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The top 10 startups from Y Combinator W19 Demo Day 1

Electric-vehicle chargers, heads-up displays for soldiers and the Costco of weed were some of our favorites from prestigious startup accelerator Y Combinator’s Winter 2019 Demo Day 1. If you want to take the pulse of Silicon Valley, YC is the place to be. But with more than 200 startups presenting across two stages and two days, it’s tough to keep track.

You can check out our write-ups of all 85 startups that launched on Demo Day 1, and come back later for our full index and picks from Day 2. But now, based on feedback from top investors and TechCrunch’s team, here’s our selection of the top 10 companies from the first half of this Y Combinator batch, and why we picked each.

Ravn

Looking around corners is one of the most dangerous parts of war for infantry. Ravn builds heads-up displays that let soldiers and law enforcement see around corners thanks to cameras on their gun, drones or elsewhere. The ability to see the enemy while still being behind cover saves lives, and Ravn already has $490,000 in Navy and Air Force contracts. With a CEO who was a Navy Seal who went on to study computer science, plus experts in augmented reality and selling hardware to the Department of Defense, Ravn could deliver the inevitable future of soldier heads-up displays.

Why we picked Ravn: The AR battlefield is inevitable, but right now Microsoft’s HoloLens team is focused on providing mid-fight information, like how many bullets a soldier has in their clip and where their squad mates are. Ravn’s tech was built by a guy who watched the tragic consequences of getting into those shootouts. He wants to help soldiers avoid or win these battles before they get dangerous, and his team includes an expert in selling hardened tech to the U.S. government.

Middesk

It’s difficult to know if a business’ partners have paid their taxes, filed for bankruptcy or are involved in lawsuits. That leads businesses to write off $120 billion a year in uncollectable bad debt. Middesk does due diligence to sort out good businesses from the bad to provide assurance for B2B deals, loans, investments, acquisitions and more. By giving clients the confidence that they’ll be paid, Middesk could insert itself into a wide array of transactions.

Why we picked Middesk: It’s building the trust layer for the business world that could weave its way into practically every deal. More data means making fewer stupid decisions, and Middesk could put an end to putting faith in questionable partners.

Convictional

Convictional helps direct-to-consumer companies approach larger retailers more simply. It takes a lot of time for a supplier to build a relationship with a retailer and start selling their products. Convictional wants to speed things up by building a B2B self-service commerce platform that allows retailers to easily approach brands and make orders.

Why we picked Convictional: There’s been an explosion of D2C businesses selling everything from suitcases to shaving kits. But to drive exposure and scale, they need retail partners who’re eager not to be cut out of this growing commerce segment. Playing middleman could put Convictional in a lucrative position, while also making it a nexus of valuable shopping data.

Dyneti Technologies

Dyneti has invented a credit card scanner SDK that uses a smartphone’s camera to help prevent fraud by more than 50 percent and improve conversion for businesses by 5 percent. The business was started by a pair of former Uber employees, including CEO Julia Zheng, who launched the fraud analytics teams for Account Security and UberEATS. Dyneti’s service is powered by deep learning and works on any card format. In the two months since it launched, the company has signed contracts with Rappi, Gametime and others.

Why we picked Dyneti: Cybersecurity threats are growing and evolving, yet underequipped businesses are eager to do more business online. Dyneti is one of those fundamental B2B businesses that feels like Stripe — capable of bringing simplicity and trust to a complex problem so companies can focus on their product.

AmpUp

The “Airbnb for electric-vehicle chargers,” ampUp is preparing for a world in which the majority of us drive EVs — it operates a mobile app that connects a network of thousands of EV chargers and drivers. Using the app, an electric-vehicle owner can quickly identify an available and compatible charger, and EV charger owners can earn cash sharing their charger at their own price and their own schedule. The service is currently live in the Bay Area.

Why we picked ampUp: Electric vehicles are inevitable, but reliable charging is one of the leading fears dissuading people from buying. Rather than build out some massive owned network of chargers that will never match the distributed gas station network, ampUp could put an EV charger anywhere there’s someone looking to make a few bucks.

Flockjay

Flockjay operates an online sales academy that teaches job seekers from underrepresented backgrounds the skills and training they need to pursue a career in tech sales. The 12-week bootcamp offers trainees coaching and mentorship. The company has launched its debut cohort with 17 students, 100 percent of whom are already in job interviews and 40 percent of whom have already secured new careers in the tech industry.

Why we picked Flockjay: Unlike coding bootcamps that can require intense prerequisites, killer salespeople can be molded from anyone with hustle. Those from underrepresented backgrounds already know how to expertly sell themselves to attain opportunities others take for granted. Flockjay could provide economic mobility at a crucial juncture when job security is shaky.

Deel

Twenty million international contractors work with U.S. companies, but it’s difficult to onboard and train them. Deel handles the contracts, payments and taxes in one interface to eliminate paperwork and wasted time. Deel charges businesses $10 per contractor per month and a 1 percent fee on payouts, which earns it an average of $560 per contractor per year.

Why we picked Deel: The destigmatization of remote work is opening new recruiting opportunities abroad for U.S. businesses. But unless teams can properly integrate these distant staffers, the cost savings of hiring overseas are negated. As the globalization megatrend continues, businesses will need better HR tools.

Glide

There has been a pretty major trend toward services that make it easier to build web pages or mobile apps. Glide lets customers easily create well-designed mobile apps from Google Sheets pages. This not only makes it easy to build the pages, but simplifies the skills needed to keep information updated on the site.

Why we picked Glide: While desktop website makers is a brutally competitive market, it’s still not easy to make a mobile site if you’re not a coder. Rather than starting from a visual layout tool with which many people would still be unfamiliar, Glide starts with a spreadsheet that almost everyone has used. And as the web begins to feel less personal with all the brands and influencers, Glide could help people make bespoke apps that put intimacy and personality first.

Docucharm

The platform, co-founded by former Uber product manager Minh Tri Pham, turns documents into structured data a computer can understand to accurately automate document processing workflows and take away the need for human data entry. Docucharm’s API can understand various forms of documents (like paystubs, for example) and will extract the necessary information without error. Its customers include tax prep company Tributi and lending business Aspire.

Why we picked Docucharm: Paying high-priced, high-skilled workers to do data entry is a huge waste. And optical character recognition like Docucharm’s will unlock new types of businesses based on data extraction. This startup could be the AI layer underneath it all.

Flower Co

Flower Co provides memberships for cheaper weed sales and delivery. Most dispensaries cater to high-end customers and newbies that want expensive products and tons of hand-holding. In contrast, Flower Co caters to long-time marijuana enthusiasts who want huge quantities at low prices. They’re currently selling $200.000 in marijuana per month to 700 members. They charge $100 a year for membership, and take 10 percent on product sales.

Why we picked Flower Co: Marijuana is the next gold rush, a once-in-a-generation land-grab opportunity. Yet most marijuana merchants have focused on hyper-discerning high-end customers despite the long-standing popularity of smoking big blunts of cheap weed with a bunch of friends. For those who want to make cannabis consumption a lifestyle, and there will be plenty, Flower Co could become their wholesaler.

Honorable Mentions

Atomic Alchemy – Filling the shortage of nuclear medicine

Yourchoice – Omni-gender non-hormonal birth control

Prometheus – Turning CO2 into gas

Lumos – Medical search engine for doctors

Heart Aerospace – Regional electric planes

Boundary Layer Technologies – Super-fast container ships

Additional reporting by Kate Clark, Greg Kumparak and Lucas Matney

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