TLVTech - Success Stories

Synk

Snyk is one of the fastest-growing, high-standard technological unicorn. They approached us after a failed attempt to work with another vendor. Their project consisted of strategic integration with a business partner.

Once we heard from them, it was clear the timing is critical. We immediately placed an engineer from our R&D team to work on their project.

After delivering the high-profile project successfully, not only did the team receive compliments of our achievement, Snyk was so happy with the team's performance that they decided to make an unusual move and hire the engineer as a full-time in-house engineer. This is an extremely unusual step from the unicorn, only proving the quality of our service is unparalleled.

Core Tigo

CoreTigo provides high-performance IO-Link Wireless communication solutions for machine builders, system integrators, and industrial equipment manufacturers.
CoreTigo reached out after signing a strategic partnership with a large industrial equipment manufacturer. Their project consisted of complex architecture including frontend, backend, DevOps, data, and Machine Learning modules.
After deep-diving into the company business needs and use case, our team quickly broke down the project into small, deliverable pieces of software, orchestrating the end-to-end solution in a time-effective manner, and quickly headed to delivering the solution to the end customer.
After months of work, the project was successfully shipped, with an overall impact calculated at hundreds of millions of dollars saved annually.

Cellxpert

Cellxpert gives you the power to track, manage, and gain control over your partnerships. Our end to end, transparency-based solution centralizes every aspect of your partner ecosystem, so you can focus on optimization.
When Cellxpert approached us, they were a market leader in their space, with hundreds of live customers in production, managing and serving millions of advertising events daily.
They were interested in modernizing their technological infrastructure, including a full re-write of their legacy large-scale application and moving from on-premise to the cloud. As a company with such high sensitivity for SLA and downtime, we had to carefully plan the migration to be gradual and with as little production interruption as possible.
We decided to migrate their platform from ASP.NET to NodeJS and from on-premise to AWS.
After almost a year of work, their last piece of software was successfully migrated with 0% downtime, improving their latency by 8000% and cutting costs by over 90%.

Epsagon

Epsagon simplifies modern cloud application development as the pioneering microservices-native observability platform, used by engineering leaders, developers, and architects to promote team knowledge of architecture and confidently scale and iterate services faster.
Epsagon reached out to us after a strong demand from their clients to deliver a full-fledged, end-to-end solution to gain visibility from the client-side serving to the backend and infrastructure.
With time sensitivity in mind, our team quickly jumped into investigating the ecosystem and competition, learned about standards and practices in the instrumentation and tracing vertical, and was able to deliver an industry-standard solution on schedule, shipped to Fortune 500 companies, impacting millions of users worldwide.

Continuity Software LTD

Background: Continuity is a storage and backup security that adds a layer of security preventing attackers from penetrating storage & backup systems.

The Challenge: Continuity approached us when they realized that they needed infrastructure change, given their vast creative solutions not being supported by their current infrastructure.

Our Solution: After getting to know the team and understanding their goals comprehensively, we planned a rewrite and implemented it within a new build management system.

Technology: Our team utilized Java and Gradle in this project, and delivered it to be working with their existing processes and methodologies to perfection.

Eleos Mental Systems

Background: Eleos Health is a CareOps automation service, consolidating everything from progress notes all the way to session intelligence so clinicians are freed from time-consuming operational burdens.

The Challenge: Eleos approached us when they required support on the back-end of their infrastructure and overarching business solutions.

Our Solution: With an understanding that our team had difficult deadlines, they consulted closely with Eleos and immediately began implementing a scalable generic solution in order to integrate it into various sectors.

Technology: Our team used a variety of softwares, including Python and Bash, in order to support different video platforms (Zoom, Google Meet etc.) for Eleos’ session intelligence capabilities. Despite the challenges, our team was able to perform on time and deliver impressive results.

Groo

Background: Groo, the largest fintech company in Israel (and the company behind Groupon), processes billions of transactions monthly through their platform.

The Challenge: When Groo approached TLVTech, they were in the initial phase of modernizing their platform and required support on the back-end of development.

Our Solution: After gaining an understanding of what they required from our team, TLVTech began the project focusing on transforming their site while maintaining 100% uptime. Our team utilized enterprise-grade software solutions to revamp the platform into NodeJS.

Intezer Labs

Background: Intezer Labs is a platform that provides automated, algorithm-driven Tier 1 MDR-like services with little to no human supervision.

The Challenge: Intezer approached us when they were having spikes in mobile usage but their software at the time was not very compatible or efficient in that setting.

Our Solution: With a tight schedule and the pressure of not making fatal mistakes in production, our team took it upon themselves to rewrite pieces of the front end solution.

Technology: Our team produced a highly successful product through the use of React, working closely with Intezer's team, and responding in a high-pressure environment.

Nexar

Background: Nexar is a technology company delivering automotive solutions to anonymous drivers, essentially making the driving experience a safer one.

The Challenge: Nexar reached out to TLVTech in need for QA Automation engineers to work internally with their QA teams to set up the QA infrastructure and a complete system coverage.

Our Solution: After TLVTech managed the onboarding of developers, our team took Nexar’s hardware, firmware, and software updates they had built internally and managed end to end tests from scenarios and expected results all the way up to full regression testing, eventually automating the process. In addition, our team continuously added more test cases to make sure Nexar had significant coverage for existing solutions and results. Because our team went above and beyond, they were able to deliver impressive results within their given deadlines.

One Layer

Background: OneLayer is a cybersecurity platform dedicated to private cellular networks, enabling organizations to unleash their full potential.

The Challenge: OneLayer reached out to TLVTech early on in their development requiring support on the front-end and back-end of their technology.

Our Solution: With an understanding that their success was dependent on our reliability, our team built the platform from scratch. This included selecting the right softwares, building the infrastructure, CI/CD, and back-tracking and monitoring the infrastructure.

Technology: Our team implemented React and NodeJS, which was a fantastic choice for this challenge, as shown to this day through our continuous involvement in their task management tools and methodologies.

Pangea-IT

Background: Pangea-IT is a multinational group that specializes in the delivery of digital transformation projects for government, security and enterprise organizations.

The Challenge: Pangea-IT reached out to us when one of their partner companies were having problems with productivity and organizational mistakes at construction sites.

Our Solution: As this project was understood to have major implications and didn’t just require a simple fix, our team understood they had to start from scratch. In this process, they successfully built an end to end software system to be placed on construction sites that alerts relevant managers when problems arise.

Technology: Using TypeScript and NodeJS on Azure and AWS, our team was able to implement breakthrough technologies such as facial recognition to ensure a smoother and more efficient day-to-day process for construction managers.

Tidhar

Background: Tidhar is a leading construction and real estate development company that has been operating in Israel for over 50 years. The company has established itself as a trusted partner for clients in a variety of sectors, including residential, commercial, and industrial.

The Challenge: Tidhar reached out to us seeking a solution to address inefficiencies and communication breakdowns that were affecting the productivity and profitability of their construction projects.

Our Solution: We worked closely with Tidhar to design and develop a customized digital solution that would streamline communication and optimize workflow across all construction sites. Our team decided to start from scratch and built an end-to-end software system that would be placed on the construction sites to identify and alert relevant managers when problems arise.

Technology: Using cutting-edge technologies such as TypeScript and NodeJS on Azure and AWS, our team was able to implement breakthrough solutions such as facial recognition to ensure a smoother and more efficient day-to-day process for construction managers. This has enabled Tidhar to improve its operational efficiencies, reduce costs, and deliver projects on time and within budget.

Tipalti

Background: Approve.com is a fast-growing software company that provides a cloud-based procurement platform for businesses.

The Challenge: Approve.com approached our company with a challenge to improve their platform's efficiency and accuracy in handling procurement processes. They had been facing various issues such as slow processing times, data inaccuracies, and difficulties in managing large volumes of transactions. These issues were hampering their growth and affecting their ability to serve their clients.

Our Solution: Our team conducted a comprehensive analysis of Approve.com's procurement platform and identified the underlying causes of the issues they were facing. We realized that the existing system lacked automation and had several manual processes that were prone to errors. Our team developed a customized solution to automate the procurement process, from requisition to approval, to purchase order generation.We integrated advanced features such as machine learning algorithms and natural language processing to improve the accuracy and efficiency of data processing. We also developed an analytics dashboard to provide real-time insights into the procurement process and enable data-driven decision-making.

Technology: Our team used modern technologies such as Python, React, and Docker to develop a scalable and robust platform. We deployed the platform on Amazon Web Services (AWS) to ensure high availability and reliability. We also integrated various third-party APIs to provide additional functionality, such as payment processing and supplier management.

Iscar

Background: ISCAR, the largest of the 15 companies part of the IMC group (backed by Warren Buffet), is an international metal-cutting tool manufacturer and marketplace.

The Challenge: ISCAR reached out to TLVTech after they were struggling with their website’s capabilities with respect to their traffic, and overall had an obsolete client experience.

Our Solution: With an understanding that millions of users relied on our expertise, our team performed a digital transformation on the website and back office. The main addition in the back-end was the establishment and utilization of an integrated smart search, allowing for users to more efficiently navigate the site to find millions of products, translations, variations, and written material.

Technology: The revamp was accomplished through the utilization of softwares such as Apache Lucene and partnering with Azure to utilize Azure Cognitive Search to effectively cut time and cost of development. By implementing this transformation, a significant amount of time was saved with every search for the user by auto-completing words, correcting typos, keeping traffic on-site (rather than transferring them to a third party engine), and users could more easily search through a large catalog of products.

Sensi.Ai

Background: Sensi.ai is a cutting-edge technology company that specializes in developing intelligent solutions for various industries. Sensi.ai has been providing groundbreaking AI-powered solutions to help businesses streamline their operations and achieve better results.

The Challenge: Sensi.ai came to us with a challenge that they were facing in their own company. They were experiencing difficulties with their customer service operations and needed an efficient system that would streamline their communication channels with clients while improving response times.

Our Solution: We understood the gravity of this challenge and recognized the need for an end-to-end solution that would address the root causes of the issue. Our team developed a bespoke AI-powered software that leverages natural language processing and machine learning algorithms to enhance communication between Sensi.ai and its clients. This software allowed for automated customer service responses and intelligent routing of inquiries, leading to a significant improvement in response times and customer satisfaction.

Technology: Our team utilized state-of-the-art technologies such as Python, TensorFlow and Google Cloud to create a custom solution that was tailored to Sensi.ai's specific requirements. We also implemented cutting-edge natural language processing algorithms and machine learning models to enable the AI to learn and adapt to new scenarios in real-time. The result was a highly effective and efficient customer service system that transformed the way Sensi.ai interacted with its clients.

Intezer Labs

Background: Finonex is a global software company that operates a leading online trading platform, using advanced technologies to enhance the online trading experience everywhere.

The Challenge: Finonex approached TLVTech after the acquisition of an affiliate informational company and required support on the integration, scale, and post-acquisition merge of technological solutions.

Our Solution: With a need to be cost-effective and time-efficient, our team worked closely with their DevOps and System Administrators to completely re-architect the entire microservices in order to allow for the scale of users on the platform.

Technology: Our team utilized Socket.IO, NodeJS, and Redis. Through this development, Finonex was able to successfully increase the scale by 10000% in traffic, volume, and throughput.

Finonex

Background: Finonex is a global software company that operates a leading online trading platform, using advanced technologies to enhance the online trading experience everywhere.

Technology: Our team utilized Socket.IO, NodeJS, and Redis. Through this development, Finonex was able to successfully increase the scale by 10000% in traffic, volume, and throughput.

Spring Games

Background: SpringGames is a cutting-edge software development company that specializes in creating engaging and innovative gaming experiences for a global audience.

The Challenge: SpringGames, approached us seeking assistance with their development process. They were facing issues with user engagement and retention, as well as difficulties in monetizing their games effectively.

Our Solution: Our team recognized the need for a comprehensive solution to address these challenges. We began by conducting a thorough analysis of SpringGames' existing systems and processes, as well as analyzing data on user behavior and preferences. Based on this research, we proposed a customized software solution that would enhance user engagement and retention, and improve the monetization of SpringGames' games.
We utilized cutting-edge technologies such as machine learning algorithms, cloud computing, and data analytics to build a sophisticated system that leveraged user data to provide personalized gaming experiences. We also implemented in-app purchasing systems and other monetization strategies to maximize revenue for SpringGames.

Technology: Using a combination of TypeScript and NodeJS on Azure and AWS, our team was able to deliver an advanced software solution that streamlines the entire game development process. This includes everything from ideation to testing and deployment, as well as analytics to help companies gain insights into their product's performance.

IVIX

Background: IVIX monitors for tax frauds by gathering and enriching publicly available business activity data to accurately identify businesses, their revenue, and the taxpayer entity.

The Challenge: IVIX came to TLVTech in need of a general infrastructure revamp, as they were dealing with data warehouses and storage solutions and needed support on optimizing the space.

Our Solution: After our team understood what was required of them, they set up the infrastructure to be working with Mongo and Kubernetes softwares. Not only did our team solve the existing issue, but they also expanded and supported the scale to be working with more data, velocity, and volume. And through this impressive optimization, IVIX is estimated to be saving $10,000+ every month on maintenance.

Reduce time to design

Custom Software Development

Success Stories

Reduce time to design

Realtime AI-based solution

Digital modernization and cloud migration

React-based instrumentation SDK

A.V.X Technologies

Continuity Software LTD

Eleos Mental Systems

Groo

Intezer Labs

Nexar

One Layer

Pangea-IT

Tidhar

Approve.com

Iscar

Sensi.ai

Lawyal

Finonex

SpringGames

IVIX

Company

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