ThoughtSpot was started by a bunch of ex-Googlers looking to bring the power of search to data. Seven years later the company is growing fast, sporting a fat valuation of almost $2 billion and looking ahead to a possible IPO. Today it announced a hefty $248 million Series E round as it continues on its journey.

Investors include Silver Lake Waterman, Silver Lake’s late-stage growth capital fund, along with existing investors Lightspeed Venture Partners, Sapphire Ventures and Geodesic Capital. Today’s funding brings the total raised to $554 million, according to the company.

The company wants to help customers bring speed to data analysis by answering natural language questions about the data without having to understand how to formulate a SQL query. As a person enters questions, ThoughSpot translates that question into SQL, then displays a chart with data related to the question, all almost instantly (at least in the demo).

It doesn’t stop there though. It also uses artificial intelligence to understand intent to help come up the exact correct answer. ThoughtSpot CEO Sudheesh Nair says that this artificial intelligence underpinning is key to the product. As he explained, if you are looking for the answer to a specific question, like “What is the profit margin of red shoes in Portland?,” there won’t be multiple answers. There is only one answer, and that’s where artificial intelligence really comes into play.

“The bar on delivering that kind of answer is very high and because of that, understanding intent is critical. We use AI for that. You could ask, ‘How did we do with red shoes in Portland?’ I could ask, ‘What is the profit margin of red shoes in Portland?’ The system needs to know that we both are asking the same question. So there’s a lot of AI that goes behind it to understand the intent,” Nair explained.

Image: ThoughtSpot

ThoughtSpot gets answers to queries by connecting to a variety of internal systems, like HR, CRM and ERP, and uses all of this data to answer the question, as best it can. So far, it appears to be working. The company has almost 250 large-company customers, and is on a run rate of close to $100 million.

Nair said the company didn’t necessarily need the money, with $100 million still in the bank, but he saw an opportunity, and he seized it. He says the money gives him a great deal of flexibility moving forward, including the possibility of acquiring companies to fill in missing pieces or to expand the platform’s capabilities. It also will allow him to accelerate growth. Plus, he sees the capital markets possibly tightening next year and he wanted to strike while the opportunity was in front of him.

Nair definitely sees the company going public at some point. “With these kind of resources behind us, it actually opens up an opportunity for us to do any sort of IPO that we want. I do think that a company like this will benefit from going public because Global 2000 kind of customers, where we have our most of our business, appreciate the transparency and the stability represented by public companies,” he said.

He added, “And with $350 million in the bank, it’s totally [possible to] IPO, which means that a year and a half from now if we are ready to take the company public, we can actually have all options open, including a direct listing, potentially. I’m not saying we will do that, but I’m saying that with this kind of funding behind us, we have all those options open.”

Usually when someone in tech says the word “quantum,” I put my hands on my ears and sing until they go away. But while IBM’s “quantum computing safe tape drive” nearly drove me to song, when I thought about it, it actually made a lot of sense.

First of all, it’s a bit of a misleading lede. The tape is not resistant to quantum computing at all. The problem isn’t that qubits are going to escape their cryogenic prisons and go interfere with tape drives in the basement of some data center or HQ. The problem is what these quantum computers may be able to accomplish when they’re finally put to use.

Without going too deep down the quantum rabbit hole, it’s generally acknowledged that quantum computers and classical computers (like the one you’re using) are good at different things — to the point where in some cases, a problem that might take incalculable time on a traditional supercomputer could be done in a flash on quantum. Don’t ask me how — I said we’re not going down the hole!

One of the things quantum is potentially very good at is certain types of cryptography: It’s theorized that quantum computers could absolutely smash through many currently used encryption techniques. In the worst-case scenario, that means that if someone got hold of a large cache of encrypted data that today would be useless without the key, a future adversary may be able to force the lock. Considering how many breaches there have been where the only reason your entire life wasn’t stolen was because it was encrypted, this is a serious threat.

IBM and others are thinking ahead. Quantum computing isn’t a threat right now, right? It isn’t being seriously used by anyone, let alone hackers. But what if you buy a tape drive for long-term data storage today, and then a decade from now a hack hits and everything is exposed because it was using “industry standard” encryption?

To prevent that from happening, IBM is migrating its tape storage over to encryption algorithms that are resistant to state of the art quantum decryption techniques — specifically lattice cryptography (another rabbit hole — go ahead). Because these devices are meant to be used for decades if possible, during which time the entire computing landscape can change. It will be hard to predict exactly what quantum methods will emerge in the future, but at the very least you can try not to be among the low-hanging fruit favored by hackers.

The tape itself is just regular tape. In fact, the whole system is pretty much the same as you’d have bought a week ago. All the changes are in the firmware, meaning earlier drives can be retrofitted with this quantum-resistant tech.

Quantum computing may not be relevant to many applications today, but next year who knows? And in 10 years, it might be commonplace. So it behooves companies like IBM that plan to be part of the enterprise world for decades to come to plan for it today.

Hedvig, a Swedish startup, is following in the footsteps of Lemonade, building a new generation of insurance platforms that use AI to help evaluate customers and operate on a policy of using surplus for social good. Today the company announced the next stage of its growth. The startup has closed a SEK100 million ($10.4 million) round of funding to expand from its current offering of property insurance into a wider range of categories, and begin the costly process of expanding its business into more countries beyond its home market.

The funding values the company at SEK342 million ($35.5 million) — a modest figure considering Lemonade’s recent $300 million round, reportedly (per PitchBook) at a $2.1 billion post-money valuation — but helps position the company to set its sights on being a strong regional player (if not an acquisition target for Lemonade if it wants to quickly add new regions: the latter kicked off its first services in Europe earlier this year, so its global aspirations are clear).

It currently has 15,000 customers in its home market of Sweden, who use it for property insurance on rented or owned apartments, and Lucas Carlsen, the co-founder and CEO, said in an emailed interview with TechCrunch that it “definitely” plans to expand that to houses as well as other categories. Home insurance also covers contents, such as gadgets, and travel, and Carlsen said that the former (gadgets) accounts for the majority of claims at the moment.

The round was led by Obvious Ventures, the venture fund co-founded by Twitter/Medium/Blogger co-founder Ev Williams, with D-Ax, the early-stage investment arm of Swedish retail giant Axel Johnson Group, also participating, along with past investor Cherry Ventures.

“We are building a global company. We just started in Sweden since we happened to live here, and it serves as a good test market as we have some of the worlds’ most progressive and demanding consumers. Today, we do not have any news to share about future markets, but stay tuned!,” said Carlsen.

“The new funding will mainly be used to fuel growth in Sweden, but we’ll also be looking at extending into new markets and insurance categories. Insurance is capital intensive and our new partners are committed to supporting our long-term vision,” he continued.

Indeed, getting an investor like Obvious (which published its own short announcement about the investment) involved could open the door to introductions with a number of other investors down the road.

“Hedvig is harnessing its purpose, the power of AI, and its human-centered product to create a modern, full-stack insurance company. Their incredible team is delivering against the mission – to give people the world’s most incredible insurance experience – and we at Obvious are honored to help scale it further,” said Vishal Vasishth, one of Obvious Ventures’ other co-founders, in a statement.

Hedvig — named, Carlsen said, after a legend of “someone who stood up for others and fought for their causes: that’s what we do,” — will sound familiar to you if you know Lemonade.

It follows in a wave of more socially forward businesses that are being created, which are using technology to help disrupt the status quo but also to bridge the gap between building services that consumers need and the principles they would like to adhere to more if possible. (Other examples include the likes of Beyond Meat, which is also backed by Obvious; as well as the plethora of electric and hybrid vehicle makers; and more.)

In the case of Hedvig and the challenge of insurance, the proposition goes like this:

Hedvig uses technology and innovative algorithms to help assess a potential customer, who is then provided with lowest-cost, and often competitively priced, premiums. Then, as a “full-stack” digital company, it also uses its algorithms to help process claims. After Hedvig uses its bigger pot of money to pay out claims, the annual surplus is donated to charities selected by its customers.

“By not pocketing this money ourselves we can focus on providing the best service possible to you and not on making more money from denying claims,” Carlsen said.

Hedvig itself makes money by taking a cut off users’ monthly premiums (it doesn’t specify how much). To date, Hedvig has not disclosed how much it has been able to “give back” according to its business model. But the philosophy is that by digitising some of the more mundane processes that are relegated to human adjustors and customer agents at traditional agencies — and by not being inherently greedy — the startup is able to provide a more pleasant, more efficient and more conscionable service.

The hype around blockchain seems to have cooled a bit, but companies like Kadena have been working on enterprise-grade solutions for some time, and continue to push the technology forward. Today, the startup announced that Kadena Scalable Permissioned Blockchain on Azure is available for free in the Azure Marketplace.

Kadena co-founder and CEO Will Martino says today’s announcement builds on the success of last year’s similar endeavor involving AWS. “Our private chain is designed for enterprise use. It’s designed for being high-performance and for integrating with traditional back ends. And by bringing that chain to AWS marketplace, and now to Microsoft Azure, we are servicing almost all of the enterprise blockchain market that takes place in the cloud,” Martino told TechCrunch.

The free product enables companies to get comfortable with the technology and build a Proof of Concept (PoC) without making a significant investment in the tooling. The free tool provides 2,000 transactions a second across four nodes. Once companies figure this out and want to scale, that’s when the company begins making money, but Martino recognizes that the technology is still immature and companies need to get comfortable with it, and that’s what the free versions on the cloud platforms like Azure are encouraging.

Martino says Kadena favors a hybrid approach to enterprise blockchain that combines public and private chains, and in his view, gives customers the best of both worlds. “You can run a smart contract on our public Chainweb protocol that will be launching on October 30th, and that smart contract can be linked to a cluster of private permission chain nodes that are running the other half of the application. This allows you to have all of the market access and openness and transparency and ownerlessness of a public network, while also having the control and the security that you find in a private network,” he said.

Martino and co-founder Stuart Popejoy both worked on early blockchain projects at JPMorgan, but left to start Kadena in 2016. The company has raised $14.9 million to date.