Category: Startup

At END. we’re constantly working to improve the way our engineering department operates. Our goal is simple: to empower the team so they can get stuff done without obstruction or interference. Anything to make things easier, faster, more reliable—and if that means tinkering with some new technology along the way, even better. Until recently, deployments were one of the biggest pain points for our engineers and with a two-person DevOps team we inevitably became a massive bottleneck when it came to go-live. We knew we needed to find a better way of doing things, and as existing AWS users, AWS Fargate seemed like the natural way forward.

Many enterprises are adopting cloud-based strategies as they initiate new projects or migrate from older, legacy systems. To meet demanding and rapidly changing business needs, they employ frequent code releases, increasingly use containers, and process and store data for compliance. It’s an environment with a great deal of change and activity, but solutions like SIEMs and firewalls just can’t provide the level of insight required—they aren’t built for automation or scale.

Industries like financial services, consulting, and insurance require solutions that ensure the safety of data against hackers. Companies must also retain access to data and provide it to regulators or other legal entities when needed. Symphony, a secure and robust collaboration platform, was born to serve these industries. With over 400,000 users across 400 of the most demanding companies, Symphony is used for internal collaboration as well as collaboration between firms.

Founders and experts from Nestio, REX Real Estate, MetaProp, Compound Asset Management, and Corigin Ventures, met at the AWS Loft in NYC to discuss how the application of AI, automation, big data, and other emerging technologies can offer boundless opportunities and benefits for entrepreneurs looking to tap into the market.

Kateryna Khotkevych, Software Engineer at food delivery service Delivery Hero, talks to us about how data helps the delivery industry, how the company uses machine learning, and how AWS helps them grow their business. 

Join us this week for an inside look into security startups building on Amazon Web Services! We are joined by some startups from the security industry to discuss how they got their start, their company missions, and how Amazon Web Services helped them accomplish their architectural goals.

As hoteliers shift more and more toward becoming data scientists, the amount of data needed—and available—is growing at exponential rates. It’s critical that this data is stored somewhere easily accessible in real time for operators and technology systems, while at the same time kept safe and secure.

Eric Yip, Co-founder and CTO of adtech startup Track Revenue, recently joined us at the AWS Loft in San Francisco to share the mistakes and lessons learned along their journey to a scalable architecture.

For Ira Cohen, founder and chief data scientist of Anodot, timing is everything. Despite having 11 years of work at Hewlett Packard under his belt, he always knew that when the right idea and timing struck, he’d make his way into the startup world. The right idea? Anodot, an autonomous analytics company that uses machine learning techniques to equip business owners with the tools they need to learn and grow using data.

Gong is using artificial intelligence and machine learning to help sales teams improve their interactions with prospective buyers by analyzing these discussions in real time and providing Sales Conversation Intelligence.