Founded in 2014, TheLorry has built a logistics platform that connects owners of lorries (similar to a cargo truck), van’s and trucks with customers in need of shipping. From consumers that are looking to clean house and get rid of unwanted goods to enterprises delivering large items like appliances, TheLorry is able to link them up with trucks to efficiently move what is needed.
The growing customer preference for software-as-a-service (SaaS) puts enterprise software startups in a rare position of advantage compared to established firms. AWS SaaS Factory invited Poojan Kumar, CEO and Co-founder of Clumio, to share the early successes and learnings from steering the startup that is disrupting a segment with numerous corporate behemoths.
HeyJobs aims to be the leading platform for those looking for the right job to live a fulfilling life. Serving millions of job seekers means that they need to ingest hundreds of thousands to future millions of job-offering details, multiple times a day, every day. Gokay Kucuk, an engineering manager on the inventories and integrations teams, shares their learnings about the AWS services they utilized for their serverless transformation. At the end of this transformation, the job ingestion capacity of HeyJobs grew from few hundred thousand to few millions per day while reducing their costs by ~30%.
PulpoAR looks to bring together the digital and physical worlds using augmented reality. The company has launched its platform with the ability to virtually try on makeup online, but plans to expand into other categories, like skincare, in the near future.
Clappia is a no code platform where creating customized business applications is as easy as working with Excel sheets. Apps built on Clappia range from elementary to very complex, involving master data, automation workflows, and integrations with external systems. Its co-founders, Ashutosh Kumar and Sarthak Jain, walk us through how they achieved success.
Real estate software startup Qbiq system delivers an artificial intelligence (AI)-driven space planning design engine that generates large volumes of customized floor plans, compares alternatives, and optimizes the results. They relied heavily on AWS Lambda image containers to achieve scale. Here’s how they did it.
In Latin America, small businesses and micro-entrepreneurs face significant economic barriers. To combat issues of limited technological knowledge, fears about the process of launching an online store, and uncertainty when it comes to choosing the right platform, Mexico-based Canasta Rosa (Spanish for Pink Basket) is guiding small businesses to success. Spearheaded by CEO Deborah Dana, the startup has a clear purpose: To empower micro and small entrepreneurs to build and scale their businesses.
For startups, being able to save infrastructure cost while improving database performance and automating data layer operations can be crucial. Startups can then shift the cost savings for value innovations while at the same time improve their customer experience. While the value of running on Kubernetes is clear, some claim that this can be a costly affair for customers. In this blog, Pincap shares findings from a benchmark they conducted to compare price-performance ratio when running TiDB on Amazon EKS with AWS Graviton2 (Arm) and on the Intel Xeon Platinum 8000 series (x86).
Austin-based legal technology leader DISCO is on a mission to reinvent the practice of law through software by making lawyers more efficient in everything they do. Founded in 2013, it has revolutionized the way law firms and corporate legal departments operate, using technology and cutting-edge AI to analyze data quickly and free up resources for tasks that require legal judgment. DISCO provides a key competitive advantage in an industry where speed and accuracy are critical.
Originally starting out as a crypto exchange for the Central-Eastern-European region, Budap were soon facing waves of chargebacks that threatened the business. Unfortunately, by looking around the market we found most legacy companies operating in the risk tech space lacking. They were either prohibitively expensive for an upstart, requiring a long term commitment upfront or the integration process was to be slow and painful, and they often relied on stale data for risk scoring that was not appropriate for certain target markets. SEON was essentially founded to tackle all of these problems.