Posted by Richy George on 22 September, 2020

At its Ignite conference today, Microsoft announced a number of new features for the Microsoft Endpoint Manager, the company’s unified platform for managing and securing devices in an enterprise environment. The service, which combines the features of the Microsoft System Center Configuration Manager with the cloud-based tools of Intune, launched just under a year ago. Today’s updates build on the foundation the team created at the time and add improved macOS and iPad support, as well as new tools for connecting mobile devices to on-premises apps and additional productivity tools based on the date the company gathers from the service. The company is also making it easier for corporate IT departments to provision devices for employees remotely.

If anything, the pandemic has only accelerated both the growth of this business for Microsoft and the need for companies to manage their remote devices.

“It really is about bringing this cloud and all the intelligence that we had in Intune together with Config Manager and making it act as one,” Brad Anderson, Microsoft corporate VP for the Commercial Management Experiences team, told me. “And it’s been so fascinated to see how the pandemic accelerated people wanting and needing to use that. When the pandemic first hit – and as I go back to March 8th or 10th, in the US, the calls that I was having almost every day with CIOs centered around, ‘my VPN is overwhelmed. How am I going to patch on keep all my systems updated?’”

Today’s announcements build on the work Microsoft has done on this service over the course of the last year. After launching support for scripting on macOS earlier this year, for example, the company today announced a new “first-class management experience on macOS” that brings deploy scripts, but also improved enrollment experiences and app lifecycle management feature to the platform.

Endpoint Manager now also supports Apple’s Shared iPad for Business functionality and will help businesses deploy iPads to their users and allow them to log in with Azure Active Directory accounts. This gives users two separate portions on the device: one for work and one for everything else.

Another new feature is Microsoft Tunnel. This gives businesses a VPN that can cover the entire device or single apps to ensure that their employees’ devices are secure and compliant with their internal policy to access their networks.

“The key thing [with Microsoft Tunnel] is that this is all integrated into our conditional access,” Anderson explained. “And so when that VPN comes up, before access is granted to the data or to the apps, the conditional access engine that we’ve built inside of Microsoft 365 has that point of view on the trust of the identity and the trust of the device. That really is the key differentiator on that. I’ll tell you, between you and I, that one feature is probably the single feature that customers who are running another MDM and then the Microsoft Endpoint Manager — that’s the one they’re waiting for.”

Endpoint Manager now also supports the Windows Virtual Desktop (WVD) environment. That’s been a massive growth area for the company — one that has only been accelerated by the COVID-19 pandemic. As Anderson told me, the company saw 10x growth for WVD through the pandemic. “Now, Windows Virtual Desktop is that first-class citizen inside Microsoft Endpoint Manager. So you can manage your virtual endpoints just like you manage your physical endpoints. All your policies are applicable, all your apps are clickable. And it just makes it easier to be able to use that as one of the tools you have to empower your users,” he said.

Another area of Endpoint Manager, which may only seem tangentially related at first, is Microsoft’s Productivity Score. There are two aspects to this service, though: employee experience and technology experience. Productivity Score is meant to help businesses better understand how their employees are working — and identify areas where companies can improve. On the technology side, that also means understanding which apps crash, for example, or why laptops slow down.

“Here’s one of the key scenarios,” said Anderson. “We’ll get a call every once in a while that says, like, ‘hey, my users are all having a great experience with Office 365 but I’ve got a handful of users for whom it’s slow.’ More often than not, that’s a networking issue. And so every time a user, for example, opens a file or saves a file, opens an attachment, we get telemetry back that helps us understand the operations of that. We probably know when an ISP in the south of France sneezes, because Office 365 is so ubiquitous now.”

The other new feature here is what Microsoft calls Endpoint Analytics. With this, Microsoft can now provide businesses with details information about when apps on their employees’ devices crash – no matter whether that’s an internal app, a third-party service — or a Microsoft app.

In addition to these technology scores, Productivity Score is also getting new categories like meetings, so managers can see how many meetings their employees have, as well as a new teamwork category.

Posted by Richy George on 22 September, 2020

Microsoft’s Edge browser is coming to Linux, starting with the Dev channel. The first of these previews will go live in October.

When Microsoft announced that it would switch its Edge browser to the Chromium engine, it vowed to bring it to every popular platform. At the time, Linux wasn’t part of that list, but by late last year, it became clear that Microsoft was indeed working on a Linux version. Later, at this year’s Build, a Microsoft presenter even used it during a presentation.

Starting in October, Linux users will be able to either download the browser from the Edge Insider website or through their native package managers. Linux users will get the same Edge experience as users on Windows and macOS, as well as access to its built-in privacy and security features. For the most part, I would expect the Linux experience to be on par with that on the other platforms.

Microsoft also today announced that its developers have made more than 3,700 commits to the Chromium project so far. Some of this work has been on support for touchscreens, but the team also contributed to areas like accessibility features and developer tools, on top of core browser fundamentals.

Currently, Microsoft Edge is available on Windows 7, 8 and 10, as well as macOS, iOS and Android.

Posted by Richy George on 22 September, 2020

No-code and low-code software have become increasingly popular ways for companies — especially those that don’t count technology as part of their DNA — to bring in more updated IT processes without the heavy lifting needed to build and integrate services from the ground up.

As a mark of that trend, today, a company that has taken this approach to speeding up customer experience is announcing some funding. EasySend, an Israeli startup which has built a no-code platform for insurance companies and other regulated businesses to build out forms and other interfaces to take in customer information and subsequently use AI systems to process it more efficiently, is announcing that it has raised $16 million.

The funding has actually come in two tranches, a $5 million seed round from Vertex Ventures and Menora Insurance that it never disclosed, and another $11 million round that closed more recently, led by Hanaco with participation from Intel Capital. The company is already generating revenue, and did so from the start, enough that it was actually bootstrapped for the first three years of its life.

Tal Daskal, EasySend’s CEO and co-founder, said that the funding being announced today will be used to help it expand into more verticals: up to now its primary target has been insurance companies, although organically it’s picked up customers from a number of other verticals, such as telecoms carriers, banks and more.

The plan will be now to hone in on specifically marketing to and building solutions for the financial services sector, as well as hiring and expanding in Asia, Europe and the US.

Longer term, he said, that another area EasySend might like to look at more in the future is robotic process automation (RPA). RPA, and companies that deal in it like UIPath, Automation Anywhere and Blue Prism, is today focused on the back office, and EasySend’s focus on the “front office” integrates with leaders in that area. But over time, it would make sense for EasySend to cover this in a more holistic way, he added.

Menora was a strategic backer: it’s one of the largest insurance providers in Israel, Daskal said, and it used EasySend to build out better ways for consumers to submit data for claims and apply for insurance.

Intel, he said, is also strategic although how is still being worked out: what’s notable to mention here is that Intel has been building out a huge autonomous driving business in Israel, anchored by MobileEye, and not only will insurance (and overall risk management) play a big part in how that business develops, but longer term you can see how there will be a need for a lot of seamless customer interactions (and form filling) between would-be car owners, operators, and passengers in order for services to operate more efficiently.

“Intel Capital chose to invest in EasySend because of its intelligent and impactful approach to accelerating digital transformation to improve customer experiences,” said Nick Washburn, senior managing director, Intel Capital, in a statement. “EasySend’s no-code platform utilizes AI to digitize thousands of forms quickly and easily, reducing development time from months to days, and transforming customer journeys that have been paper-based, inefficient and frustrating. In today’s world, this is more critical than ever before.”

The rise and persistence of Covid-19 globally has had a big, multi-faceted impact how we all do business, and two of those ways have fed directly into the growth of EasySend.

First, the move to remote working has given organizations a giant fillip to work on digital transformation, refreshing and replacing legacy systems with processes that work faster and rely on newer technologies.

Second, consumers have really reassessed their use of insurance services, specifically health and home policies, respectively to make sure they are better equipped in the event of a Covid-19-precipitated scare, and to make sure that they are adequately covered for how they now use their homes all hours of the day.

EasySend’s platform for building and running interfaces for customer experience fall directly into the kinds of apps and services that are being identified and updated, precisely at a time when its initial target customers, insurers, are seeing a surge in business. It’s that “perfect storm” of circumstances that the startup wouldn’t have wished on the world, but which has definitely helped it along.

While there are a lot of companies on the market today that help organizations automate and run their customer interaction processes, the Daskal said that EasySend’s focus on using AI to process information is what makes the startup more unique, as it can be used not just to run things, but to help improve how things work.

It’s not just about taking in character recognition and organizing data, it’s “understanding the business logic,” he said. “We have a lot of data and we can understand [for example] where customers left the process [when filling out forms]. We can give insights into how to increase the conversion rates.”

It’s that balance of providing tools to do business better today, as well as to focus on how to build more business for tomorrow, that has caught the eye of investors.

“Hanaco is firmly invested in building a digital future. By bridging the gap between manual processes and digitization, EasySend is making this not only possible, but also easy, affordable, and practical,” said Hanaco founding partner Alon Lifshitz, in a statement.

Posted by Richy George on 22 September, 2020

Uber for Business, the business side of the consumer ride sharing service, has typically focused on helping companies track their Uber expenses, but during a pandemic needs have changed. It’s no longer about getting employees to and from the airport or shuttling an important client from the hotel to the office, it’s about getting essential personnel to the office safely, and to that end, Uber introduced a couple of new business commuting options today.

“Uber for Business is really about how we allow organizations of all shapes and sizes around the world to leverage the great consumer technology that Uber makes available, for business purposes,” Ronnie Gurion, global head at Uber for Business told TechCrunch.

While the business side of the house helps employees charge business-related Uber rides to their employers, it can now help them choose a couple of commuting options beyond the standard ride sharing everyone has access to, regardless of who is paying the bill.

For starters, the company is introducing Employee Group Rides. Group might be an overstatement, since it involves two employees in the same area sharing an Uber for the purpose of getting to or from work. It works in a similar fashion to the way Uber Pool worked, except it only involves matching employees at the same company.

In terms of safety, Gurion says that Ubers sees this as a ‘transit bubble’ with employees who are working together anyway willing to share a car together. “We’re seeing that companies are finding this option to be more attractive because they are comfortable putting more than one person in the same office in the same car, when they’re going to be in the same office together anyway, once they get to the office. So, it makes things a little more socially distant or creates a social transit bubble, so to speak, to get people to and from the office,” he explained.

The second option is called Business Charter and this involves Uber connecting the customer to a third-party fleet partner, who can pick up multiple employees and bring them to the office.

“A company can come and create a commute program with Uber across sedans, SUVs, vans and buses, and based on the employee base and commuting data, it might order 20 sedans and X number of our [larger] vehicles, and decide how to deploy them — and we can do that, and those vehicles will only accept rides from that employer,” Gurion said.

As for commuting during the pandemic, Gurion points out that these programs are being introduced in the EMEA, APAC and North American regions for starters, and that each of these geographies is in different places in terms of COVID. “Not every market looks like the US. There are a wide range of situations, but core safety issues are relevant everywhere,” he said.

While Uber has instituted a safety program to help ensure both drivers and passengers are wearing masks, and have devoted $50 million to providing cleaning supplies to drivers, they don’t have a formal testing program for drivers in place, Gurion said. How comfortable employees are with these arrangements will likely depend on individual preferences.

In addition to these commuting options, Uber for Business also offers Uber Eats for Business, a food delivery service geared for business users and Uber Direct, a package delivery platform.

Posted by Richy George on 18 September, 2020

Most venture capital firms are based in hubs like Silicon Valley, New York City and Boston. These firms nurture those ecosystems and they’ve done well, but SaaS Ventures decided to go a different route: it went to cities like Chicago, Green Bay, Wisconsin and Lincoln, Nebraska.

The firm looks for enterprise-focused entrepreneurs who are trying to solve a different set of problems than you might find in these other centers of capital, issues that require digital solutions but might fall outside a typical computer science graduate’s experience.

Saas Ventures looks at four main investment areas: trucking and logistics, manufacturing, e-commerce enablement for industries that have not typically gone online and cybersecurity, the latter being the most mainstream of the areas SaaS Ventures covers.

The company’s first fund, which launched in 2017, was worth $20 million, but SaaS Ventures launched a second fund of equal amount earlier this month. It tends to stick to small-dollar-amount investments, while partnering with larger firms when it contributes funds to a deal.

We talked to Collin Gutman, founder and managing partner at SaaS Ventures, to learn about his investment philosophy, and why he decided to take the road less traveled for his investment thesis.

A different investment approach

Gutman’s journey to find enterprise startups in out of the way places began in 2012 when he worked at an early enterprise startup accelerator called Acceleprise. “We were really the first ones who said enterprise tech companies are wired differently, and need a different set of early-stage resources,” Gutman told TechCrunch.

Through that experience, he decided to launch SaaS Ventures in 2017, with several key ideas underpinning the firm’s investment thesis: after his experience at Acceleprise, he decided to concentrate on the enterprise from a slightly different angle than most early-stage VC establishments.

The second part of his thesis was to concentrate on secondary markets, which meant looking beyond the popular startup ecosystem centers and investing in areas that didn’t typically get much attention. To date, SaaS Ventures has made investments in 23 states and Toronto, seeking startups that others might have overlooked.

“We have really phenomenal coverage in terms of not just geography, but in terms of what’s happening with the underlying businesses, as well as their customers,” Gutman said. He believes that broad second-tier market data gives his firm an upper hand when selecting startups to invest in. More on that later.

Posted by Richy George on 18 September, 2020

In a case of bizarre timing, Salesforce announced it was laying off 1000 employees at the end of last month just a day after announcing a monster quarter with over $5 billion in revenue, putting the company on a $20 billion revenue run rate for the first time. The juxtaposition was hard to miss.

Earlier today, Salesforce CEO and co-founder Marc Benioff announced in tweet that the company would be hiring 4000 new employees in the next six months, and 12,000 in the next year. While it seems like a mixed message, it’s probably more about reallocating resources to areas where they are needed more.

While Salesforce wouldn’t comment further on the hirings, the company has obviously been doing well in spite of the pandemic, which has had an impact on customers. In the prior quarter, the company forecasted that it would have slower revenue growth due to giving some customers facing hard times with economic downturn, time to pay their bills.

That’s why it was surprising when the CRM giant announced its earnings in August and it had done so well in spite of all that. While the company was laying off those 1000 people, it did indicate it would give those employees 60 days to find other positions in the company. With these new jobs, assuming they are positions the laid off employees are qualified for, they could have a variety of positions to choose from.

The company had 54,000 employees when it announced the layoffs, which accounted for 1.9% of the workforce. If it ends up adding the 12,000 news jobs in the next year, that would put at approximately 65,000 employees by this time next year.

Posted by Richy George on 17 September, 2020

Perigee founder Mollie Breen used to work for NSA where she built a security solution to help protect the agency’s critical infrastructure. She spent the last two years at Harvard Business School talking to Chief Information Security Officers (CISOs) and fine-tuning that idea she started at NSA into a commercial product.

Today, the solution that she built moves into public beta and will compete at TechCrunch Disrupt Battlefield with other startups for $100,000 and the Disrupt Cup.

Perigree helps protect things like heating and cooling systems or elevators that may lack patches or true security, yet are connected to the network in a very real way. It learns what normal behavior looks like from an operations system when it interacts with the network, such as what systems it interacts with and which individual employees tend to access it. It can then determine when something seems awry and stop an anomalous activity before it reaches the network. Without a solution like the one Breen has built, these systems would be vulnerable to attack.

“Perigee is a cloud-based platform that creates a custom firewall for every device on your network,” Breen told TechCrunch. “It learns each device’s unique behavior, the quirks of its operational environment and how it interacts with other devices to prevent malicious and abnormal usage while providing analytics to boost performance.”

One of the key aspects of her solution is that it doesn’t require an agent, a small piece of software on the device, to make it work. Breen says this is especially important since that approach doesn’t scale across thousands of devices and can also introduce bugs from the agent itself. What’s more, it can use up precious resources on these devices if they can even support a software agent.

“Our sweet spot is that we can protect those thousands of devices by learning those nuances and we can do that really quickly, scaling up to thousands of devices with our generalized model because we take this agentless-based approach,” she said.

By creating these custom firewalls, her company is able to place security in front of the device preventing a hacker from using it as a vehicle to get on the network.

“One thing that makes us fundamentally different from other companies out there is that we sit in front of all of these devices as a shield,” she said. That essentially stops an attack before it reaches the device.

While Breen acknowledges that her approach can add a small bit of latency, it’s a tradeoff that CISOs have told her they are willing to make to protect these kinds of operational systems from possible attacks. Her system is also providing real-time status updates on how these devices are operating, giving them centralized device visibility. If there are issues found, the software recommends corrective action.

It’s still very early for her company, which Breen founded last year. She has raised an undisclosed amount of pre-seed capital. While Perigee is pre-revenue with just one employee, she is looking to add paying customers and begin growing the company as she moves into a wider public beta.

Posted by Richy George on 17 September, 2020

When you look at the Asia-Pacific (APAC) regional cloud infrastructure numbers, it would be easy to think that one of the Chinese cloud giants, particularly Alibaba, would be the leader in that geography, but new numbers from Synergy Research show Amazon leading across the region overall, which generated $9 billion in revenue in Q2.

The only exception to Amazon’s dominance was in China where Alibaba leads the way with Tencent and Baidu coming in second and third respectively. As Synergy’s John Dinsdale points out, China has its own unique market dynamics, and while Amazon leads in other APAC sub-regions, it remains competitive..

“China is a unique market and remains dominated by local companies, but beyond China there is strong competition between a range of global and local companies. Amazon is the leader in four of the five sub-regions, but it is not the market leader in every country,” he explained in a statement.

The $9 billion in revenue across the region in Q2 represents less the a third of the more than $30 billion generated in the worldwide market in the quarter, but the APAC cloud market is still growing at over 40% per year. It’s also worth pointing out as a means of comparison that Amazon alone generated more than the entire APAC region with $10.81 billion in cloud infrastructure revenue in Q2.

While Dinsdale sees room for local vendors to grow, he says that the global nature of the cloud market in general, makes it difficult for these players to compete with the largest companies, especially as they try to expand outside their markets.

“The challenge for local players is that in most ways cloud is a truly global market, requiring global presence, leading edge technology, strong brand name and credibility, extremely deep pockets and a long-term focus. For any local cloud companies looking to expand significantly beyond their home market, that is an extremely challenging proposition,” Dinsdale said in a statement.

Posted by Richy George on 17 September, 2020

Snowflake went public this week, and in a mark of the wider ecosystem that is evolving around data warehousing, a startup that has built a completely new concept for modelling warehoused data is announcing funding. Narrator — which uses an 11-column ordering model rather than standard star schema to organise data for modelling and analysis — has picked up a Series A round of $6.2 million, money that it plans to use to help it launch and build up users for a self-serve version of its product.

The funding is being led by Initialized Capital along with continued investment from Flybridge Capital Partners and Y Combinator — where the startup was in a 2019 cohort — as well as new investors including Paul Buchheit.

Narrative has been around for three years, but its first phase was based around providing modelling and analytics directly to companies as a consultancy, helping companies bring together disparate, structured data sources from marketing, CRM, support desks and internal databases to work as a unified whole. As consultants, using an earlier build of the tool that it’s now launching, the company’s CEO Ahmed Elsamadisi said he and others each juggled queries “for eight big companies singlehandedly,” while deep-dive analyses were done by another single person.

Having validated that it works, the new self-serve version aims to give data scientists and analysts a simplified way of ordering data so that queries, described as actionable analyses in a story-like format — or “Narratives“, as the company calls them — can be made across that data quickly — hours rather than weeks — and consistently. (You can see a demo of how it works below provided by the company’s head of data, Brittany Davis.)

(And the new data-as-a-service is also priced in SaaS tiers, with a free tier for the first 5 million rows of data, and a sliding scale of pricing after that based on data rows, user numbers, and Narratives in use.)

Elsamadisi, who co-founded the startup with Matt Star, Cedric Dussud, and Michael Nason, said that data analysts have long lived with the problems with star schema modelling (and by extension the related format of snowflake schema), which can be summed up as “layers of dependencies, lack of source of truth, numbers not matching, and endless maintenance” he said.

“At its core, when you have lots of tables built from lots of complex SQL, you end up with a growing house of cards requiring the need to constantly hire more people to help make sure it doesn’t collapse.”

(We)Work Experience

It was while he was working as lead data scientist at WeWork — yes, he told me, maybe it wasn’t actually a tech company but it had “tech at its core” — that he had a breakthrough moment of realising how to restructure data to get around these issues.

Before that, things were tough on the data front. WeWork had 700 tables that his team was managing using a star schema approach, covering 85 systems and 13,000 objects. Data would include information on acquiring buildings, to the flows of customers through those buildings, how things would change and customers might churn, with marketing and activity on social networks, and so on, growing in line with the company’s own rapidly scaling empire.  All of that meant a mess at the data end.

“Data analysts wouldn’t be able to do their jobs,” he said. “It turns out we could barely even answer basic questions about sales numbers. Nothing matched up, and everything took too long.”

The team had 45 people on it, but even so it ended up having to implement a hierarchy for answering questions, as there were so many and not enough time to dig through and answer them all. “And we had every data tool there was,” he added. “My team hated everything they did.”

The single-table column model that Narrator uses, he said, “had been theorised” in the past but hadn’t been figured out.

The spark, he said, was to think of data structured in the same way the we ask questions, where — as he described it — each piece of data can be bridged together and then also used to answer multiple questions.

“The main difference is we’re using a time-series table to replace all your data modelling,” Elsamadisi explained. “This is not a new idea, but it was always considered impossible. In short, we tackle the same problem as most data companies to make it easier to get the data you want but we are the only company that solves it by innovating on the lowest-level data modelling approach. Honestly, that is why our solution works so well. We rebuilt the foundation of data instead of trying to make a faulty foundation better.”

Narrator calls the composite table, which includes all of your data reformatted to fit in its 11-column structure, the Activity Stream.

Elsamadisi said using Narrator for the first time takes about 30 minutes, and about a month to learn to use it thoroughly. “But you’re not going back to SQL after that, it’s so much faster,” he added.

Narrator’s initial market has been providing services to other tech companies, and specifically startups, but the plan is to open it up to a much wider set of verticals. And in a move that might help with that, longer term, it also plans to open source some of its core components so that third parties can data products on top of the framework more quickly.

As for competitors, he says that it’s essentially the tools that he and other data scientists have always used, although “we’re going against a ‘best practice’ approach (star schema), not a company.” Airflow, DBT, Looker’s LookML, Chartio’s Visual SQL, Tableau Prep are all ways to create and enable the use of a traditional star schema, he added. “We’re similar to these companies — trying to make it as easy and efficient as possible to generate the tables you need for BI, reporting, and analysis — but those companies are limited by the traditional star schema approach.”

So far the proof has been in the data. Narrator says that companies average around 20 transformations (the unit used to answer questions) compared to hundreds in a star schema, and that those transformations average 22 lines compared to 1000+ lines in traditional modelling. For those that learn how to use it, the average time for generating a report or running some analysis is four minutes, compared to weeks in traditional data modelling. 

“Narrator has the potential to set a new standard in data,” said Jen Wolf, ​Initialized Capital COO and partner and new Narrator board member​, in a statement. “We were amazed to see the quality and speed with which Narrator delivered analyses using their product. We’re confident once the world experiences Narrator this will be how data analysis is taught moving forward.”

Posted by Richy George on 16 September, 2020

When it comes to pop culture, a company executive or history questions, most of us use Google as a memory crutch to recall information we can’t always keep in our heads, but Google can’t help you remember the name of your client’s spouse or the great idea you came up with at a meeting the other day.

Enter Luther.AI, which purports to be Google for your memory by capturing and transcribing audio recordings, while using AI to deliver the right information from your virtual memory bank in the moment of another online conversation or via search.

The company is releasing an initial browser-based version of their product this week at TechCrunch Disrupt where it’s competing for the $100,000 prize at TechCrunch Disrupt Battlefield.

Luther.AI’s founders say the company is built on the premise that human memory is fallible, and that weakness limits our individual intelligence. The idea behind Luther.AI is to provide a tool to retain, recall and even augment our own brains.

It’s a tall order, but the company’s founders believe it’s possible through the growing power of artificial intelligence and other technologies.

“It’s made possible through a convergence of neuroscience, NLP and blockchain to deliver seamless in-the-moment recall. GPT-3 is built on the memories of the public internet, while Luther is built on the memories of your private self,” company founder and CEO Suman Kanuganti told TechCrunch.

It starts by recording your interactions throughout the day. For starters, that will be online meetings in a browser, as we find ourselves in a time where that is the way we interact most often. Over time though, they envision a high-quality 5G recording device you wear throughout your day at work and capture your interactions.

If that is worrisome to you from a privacy perspective, Luther is building in a few safeguards starting with high-end encryption. Further, you can only save other parties’ parts of a conversation with their explicit permission. “Technologically, we make users the owner of what they are speaking. So for example, if you and I are having a conversation in the physical world unless you provide explicit permission, your memories are not shared from this particular conversation with me,” Kanuganti explained.

Finally, each person owns their own data in Luther and nobody else can access or use these conversations either from Luther or any other individual. They will eventually enforce this ownership using blockchain technology, although Kanuganti says that will be added in a future version of the product.

Kanuganti says the true power of the product won’t be realized with a few individuals using the product inside a company, but in the network effect of having dozens or hundreds of people using it, even though it will have utility even for an individual to help with memory recall, he said.

While they are releasing the browser-based product this week, they will eventually have a stand-alone app, and can also envision other applications taking advantage of the technology in the future via an API where developers can build Luther functionality into other apps.

The company was founded at the beginning of this year by Kanuganti and three co-founders including CTO Sharon Zhang, design director Kristie Kaiser and scientist Marc Ettlinger. It has raised $500,000 and currently has 14 employees including the founders.