Jalan Technologies

One of the biggest trading firms in Europe wanted to build automated trading applications based on a scalping strategy on the TBricks platform.

Background 

Scalping is one of the most common day trading strategies to prioritise making high volumes of small profits. But it requires a strict exit strategy to protect small gains against one large loss.

With that in mind, we built an automated trading application that places and exits orders from the market based on a defined model.

Solution

To execute the trading strategy, we built a set of applications to achieve:

• Automated order placement in the market to get good positions.
• Automated order placement in the market to scalp the market and book profit.
• Automated exit of orders from the market based on a defined model to protect against the big loss.

Result 

The application proved to be effective for specific instruments in a steady market.

The ex-executives of Capital One started a company that aimed at constructing a cutting-edge payment card that makes it simple to spend responsibly — with all the advantages of credit.

The client wanted an operating system that could help the masses in making the right decisions about their finances. The goal was to develop a financial brain as software, making it intelligent enough to guide the users in regulating their expenses without incurring huge debts.

The software was intelligent enough to understand the spending pattern and give suggestions accordingly to different individuals, which is why the company also got into Techstars, a global platform for investment and innovation. JTC is indeed proud to have been the tech partners to such remarkable entrepreneurs.

About the Client

Founded in 2019, our customer is a fintech startup based in Washington, USA. They offer financial help services through an app for people to understand their current financial situation and also suggest recommendations to improve it. The app helps to beat credit card debt so the user can live financially free.

One of the unique value propositions of the product is the ability to compute the interest saved when debt is moved around appropriately among credit lines.

JTC collaborated with them to set up a scalable background job architecture that the company can now use across projects. 

Our team at JTC has completed the first version of an algorithm intended to compute the balances to move around and the savings on interest once this move is made, we’re done with the first version of an algorithm to order the cards by a ‘health score.

What’s next

We are currently working on improving Data Analytics and including new features in Sweepstakes.

Tech Stacks

Node.js, React Native, TypeScript, MongoDB, RabbitMQ , Heroku

About the Client

We are working with Fannie Mae and Freddie Mac-approved, tech-enabled residential mortgage servicers that started in 2019. The company helps to service US-based home mortgages.

The company is a tech-first company and has reimagined the mortgage stack from the ground up and is able to significantly increase the servicing efficiency per loan with the help of technology.

Customer’s Mission

The team wants to build a technology to bring transparency to everyday people in the US and bring efficiency to the 100-year-old mortgage servicing industry. Its mission is to eliminate the industries inefficient practises that cause a lot of money to the homeowners and introduce modern solutions for a better approach to mortgages.

The idea is to build trust and gain efficiency by automating the processes. Being backed by some of the top investors and the founding team wanted to accelerate the development with the mindset to win the market.

JT’s Collaboration

JT’s collaboration started via the Google alumni network. JT has been their technology partner since the ideation stage of the product in 2019. We worked closely with their in-house engineering team to convert their vision into a world-class web-based application for borrowers and servicers.

Results

By bringing modern UX principles into the servicing platform, the platform has significantly improved the borrower’s
mortgage experience. We are also aiming to reduce mortgage servicing costs by up to 50% by vertically integrating the entire process with the help of the technology used. Approximately 20,000+ consumers and $6 billion in mortgages are being serviced on the platform by the 2021 year-end.

Our client is trading in multiple segments of the trade market including ETFs. At the moment, traders used to trade ETFs through a banking partner - ABN AMRO. To put ETFs orders in the market through the banking partner, they used to send the order instructions to the banking partner through email and SMS which was highly error-prone, time-consuming and no real
time order updates.

To structure and automate sending of order instructions to the banking partner - the client wanted to build a web-based platform through which they can securely exchange the instructions and order updates with the banking partner.

About the Client

The customer is a micro-training startup based out of California, USA. The founder - an ex-employee of Google had the vision to create a global platform that can make the training process easier for any multinational corporation to localize the training courses.

Founder’s Mission

The Founder’s objective was to remove the language barrier for companies that have multiple outlets across the globe. To educate their staff in their native language, any enterprise had to hire a team. With the product in his mind, anyone could just outsource this service from a single platform. The organization can save itself from hiring a
whole new team for standardization processes and create a similar experience universally for customers.

JT’s collaboration

They found us through the Google alumni network. ​ We were selected to develop the product design, write the code for the platform, test the services, and also brainstorm various user workflows.
Features of the platform:
1. User/Admin friendly

The web app was created to such a degree that no manual follow-ups, apps, or desktops are needed. Training Distribution is just a 3 step process for the admin

• Specify training groups and trainee mobile numbers to groups(1time activity),
• Upload-the-training-content,
• Assign-content-to-groups

The trainee is notified on the mobile messaging platform with a link. Once clicked, the trainee is taken to our servers for authentication and streaming of content. Training adoption is tracked in real-time with periodic-nudges-to trainees who are yet to complete their sessions. Any new joiner can be added without any inconvenience.

2.-Secure Streaming

Training videos are often confidential. This is how the web application ensures the secrecy of the content,

• Single sign-on and authentication for each training session. Twilio is used for OTP authentication.,
• Content is hosted on AWS and streamed through Vimeo both of which provide some of the highest levels of security-in-the-industry- for-hosted-services.-,
• None-of-the-content-is-shareable-or-downloadable,
• Access-to-content-is-controlled-by-2-factor-authentication.

3.-Localized Training

The web app supports voice-over and video captions for 100 of the world’s most popular languages. The client relies on services trusted by Fortune 500 companies to deliver content translation. The services
come with 1year post-completion- project- support- and- quality-
assurance.

4.-Permission Management

The application also has a feature of permission management. Permissions can be granted at the application level for controlling the web app.

Core Problem 

 In the education industry, there has been no standard practice to issue, store and securely share a certificate. The client wanted to solve this problem by creating a system similar to Blockcerts, where it becomes easy for universities to manage the certificates - from creation to storage and distribution.

We were a part of their project since the ideation stage. We developed the platform in 8 months and worked until the MVP launch and helped them improve the platform with more features. 

Explaining The Product

We designed an Ethereum Blockchain-based platform for issuing and storing certificates. It offers a solution to the education sector with the promises to provide cryptographically signed tamper-proof credentials that facilitate individuals' capacity to possess and share their official records.    Blockchain is a new technology and many people find it difficult to work with. To solve this problem, we developed a blockchain-based application for issuing blockchain certificates without using specific recipients and issuer inputs.     In our system, we developed a centralized wallet system that completes all the blockchain processes on the behalf of the recipient and issuer and issues a cryptographically signed tamper-proof certificate. The recipient can share his blockchain certificate with anyone and the platform also provide an option to share it on any other social media network.  The application runs all the complex processes by itself which provides an insight that it is possible to develop an enterprise blockchain solution without bringing end-users into the loop. We also designed a workflow where universities can design their certificates and present their certificates the way they want to.

A Cloud-Based Web Application To Seamlessly Run Dental Practices

Our Team has designed an application for the support team that helps to manage every administrative task that is needed to run a dental clinic from patient communication, data analytics, and vendor management to taxation workflows and much more.

Unlike many traditional applications, it also uses real-time GRPC bi-directional streaming to communicate with dental offices to cloud servers to provide real-time insights. The application supports various roles to ensure each person sees the right information on the platform.

The product is used by over 250 support staff at the company and maintains data of over 350GB over the last 4 years. We built a desktop application using Electron and React to sync millions of data points from all dental clinics to the cloud in order to drive key insights and operational statistics. The platform is created in such a way that one data entry is shared

Automation of Invoice Processing

The platform removes the manual work for the accounting team by automating invoice processing. We created a system that automatically extracts invoices from hundreds of emails from vendors. The application reads the emails and extracts the relevant information. This reduces a good deal of manual workload on the accounting team.

Payroll and Taxation System

The customer has a very complicated payroll system. The dentists are awarded incentives if they generate revenue over a certain amount. This incentive system can become overwhelming when one needs to monitor too many dentists. The system that we have created handles all these business processes models these payrolls and generates these payrolls accurately removing all the need for manual work.

The client was a startup led by engineers from MIT and Stanford who had a collective vision to promote regenerative grazing practices using technology.

They aimed at revolutionizing and digitizing the grazing landscape by replacing huge grazing charts hung on every rancher's wall with digital maps. Their idea was to provide ranchers with Grazing Management. The software would enable them to make profitable decisions and save a lot of time. Here is what they wanted to achieve through the software:

• Season forecasting and scenario planning
• Calculate stocking and carrying capacity
• Managing pastures and cattle in one place
• Tracking cattle moves, grazing periods, and rest days
• Evaluating pasture performance

Our team members travelled to the US every year and spent a week with the ranching community to understand the workflow better. We worked alongside the founding team to build technology that the users can easily adopt without going through a high learning curve.

We took over the entire AngularJS codebase, added hundreds of new test cases, integrated a number of new UI frameworks, and started with the development of many new and critical features.

We worked closely with UX designers, backend and mobile developers to ensure that everything was on track to make smart technical architectural decisions.

Given our experience helping startups, we were able to give input to help prioritize the work and consider the business impact as the primary goal.

The Core Problem

Our client had a very brilliant solution to build mobile application-controlled IoT devices which help customers to control, monitor and save their energy. But building sophisticated IoT-based energy management systems not only requires expertise with web-based applications but also handling embedded IoT devices.  

JT's Collaboration

JT became their technology partner in 2019 in the starting stage of their journey. Our team wanted to create an energy management platform/mobile app that gives the userC1Personalized Energy AnalysisC1Infinite Coverag81Non-disruptive Implementation 1Pinpoint Guidanc81Prompt Savings  The combination of their expertise in hardware and ours in software development resulted in an advanced power strip that was engineered to capture 20,000 data points per hour. The users can connect, track and manage devices via the mobile application for ultimate control of their energy footprint. The easy-to-read commercial dashboard provides detailed, real-time analytics and projected savings.   The application distinguishes the power strip from other power strips in the market. With the mobile app, the users can turn one device off or on, on the command which is not the case for other power strips. The app also allows the user to view data on how much energy they are using or losing on various electronics.  As a company, we built the IoT system which communicated with the cloud server using the MQTT protocol. MQTT is a lightweight publish/subscribe messaging protocol designed for low-bandwidth, high latency, unreliable networks. MQTT’s features make it an excellent option for sending high volumes of sensor messages.  The power strip would run a local MQTT server and send data every second upstream. The backend in RUST would also listen to this data using MQTT and store it as a time series in the database. This data is then surfaced using sockets in the mobile application using React Native. 

Problem Utility industries are still struggling with the extraction and management of data. Utility consumers lack easy access to the data and are still storing the data manually. The absence of a   single data standard also adds to the problem.  Some of the world’s largest companies use manually entered utility data to make energy decisions that are subject to human errors and are often inaccurate. Even just calculating energy usage manually for a home is a big task and is prone to mistakes. This can further create problems when adopting better energy-saving/management solutions in the future. One needs accurate utility data to understand their energy usage and identify opportunities to reduce energy costs. Omnimetic automates the utility data extraction and removes the manual process that is time-consuming and inefficient. 

The Arizona-based solar energy company was formed by a group of industry experts with the aim to help homeowners to go solar seamlessly. Since 2016, JTC has collaborated with them to build an “All-in-one” platform to automate their business processes- sales, finance, and others for a better consumer experience.

Client goals
The company’s co-founder - Schlumberger and Shell alum got curious about data, analytics, and machine learning during the major downfall of oil prices in November 2014. It led him to ask questions about why it was happening and can it be predicted in a better way.
He wanted to simplify complex industrial knowledge that was easy to access. He and his colleagues have a long-term goal to create an ecosystem of workflows around the smart assistant so that everyone in an organization can ask the tough questions and get back the answers without any delay.

Problem - Manual and Slow Data Extraction
The smart assistant was using Natural Language Processing to integrate with multiple systems used by a company to unstructured data from documents, emails, and much more. The then-current version of the search engine had manual data extraction which was extremely time-consuming. They were using a third-party API to extract the financial data.

Our Collaboration
Our team has been a technology partner of the energy tech startup under the staff augmentation model since September 2020.

Results
Response time has been reduced drastically and the UI/UX is better in the new version. With the new infrastructure development, the user is now able to ask questions based on suggested, and typeahead questions. The user can also see financial information about his peers and compare them. And filter and sort responses on the basis of different tags.