Better Software

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.

Our team collaborated with a Bay Area startup to design and develop a Minimum Viable Product (MVP) for a web-based caregiving marketplace. This two-sided platform connects families seeking caregiving services with professional caregivers, focusing on facilitating safe, efficient, and meaningful interactions. By emphasizing solid engineering practices and prioritizing user needs, we successfully launched the platform in the Bay Area, with scalability and growth in mind.

We worked with the client to define a comprehensive set of features that would meet initial user needs and create a strong foundation for future growth. Our team implemented features such as User Registration & Onboarding, Search & Discovery, Booking & Scheduling, Booking & Scheduling, Payments and Notifications & Alerts

The platform was developed using a robust tech stack: TypeScript, Node, and React, which provided the flexibility and performance required to manage high volumes of concurrent users with a load time of under three seconds. A team of four engineers worked on this project, building with a focus on clean, modular code that ensures future scalability. We emphasized data security, SSL encryption, secure password storage, and third-party payment integrations to protect user data and build trust within the platform.

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.

Better Software’s Collaboration

Our 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.

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.

A Techstar company based in Seattle wanted to create a credit card system in a way that benefits customers and changes the game for the finance world. They asked us to create a mobile app that acts as a financial tool for people and makes it easier to manage their money.

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. Our team built the platform from scratch. We created the backend system that powers the mobile app.

There was a list of objectives to be fulfilled by this product. The list included:

• Organizing money into Bills, Savings Goals and Spending
• Tracking and reserving money for bills
• Tracking and reserving money for investment fund goals
• Letting people spend the remainder of their monthly income on credit
• Letting people spend from investment funds, whenever need be
• Locking the card if there is an attempt to spend more than that
• Consistently autopays your credit bill.

The product was expected to have a scalable architecture, so, we used Node JS for its backend development and React for the front end as we aimed at providing the end users with a smooth experience while navigating through the app.

We constructed a Plaid-powered framework by integrating the same and used Mongo DB for database management. In order for the end users to receive alerts on their spending and remaining credits etc., our engineers employed Rabbit MQ.

The app needed sensitive information to give the most useful advice to its users, this is where data security came into focus.

To ensure the safety of the sensitive data, we used Very Good Security, which made it possible for us to be PCI and SOC2 compliant. Once all of this was done, the app was ready for the users to signup, feed their goals in and link it with their credit cards.

Founded in 2008, the client is an A+ rated leading solar company based in the USA. They offer customized solar solutions to residential owners, helping them to go green and taking charge of their personal energy consumption expenditures. Since 2016, JT has been a part of the team to automate their business processes - sales, finance, and others for a better customer experience. 

Using Technology For Quick And Accurate Sales Proposals Using Technology

The client was scaling their sales team, they needed the ability to generate accurate sales proposals consistently with detailed return on investment for their customers. After understanding the problem, we built a web-based solution that would download high-resolution rooftop imagery for a given house and using NREL's API, took the sunlight, and weather data into consideration. The system also integrated with utility data and using SAM's models in C++, built an accurate system that would predict the system production. 

Financing Solar Systems with Just a Click

Once the sales associate would convinced the customer to buy, the customer would often look for financing options. They wanted to see various financing options from multiple lenders. We integrated two leading solar financing banks into the workflow. Once the sales proposal was accepted by the customer, with a click of a button, the sales rep can initiate a credit check as well as a loan application for the solar system.

Easier Data Management and Navigation 

As the number of solar installations increased, we worked with the operations team as well. We built an async engine to sync all the data from the application to Zoho CRM as the operations team was largely on it.

Simplifying Sales Commission 

The team would spend an average of 1-2 days a week in order to calculate the sales commission for their sales, not to mention the custom commission calculations for various sales teams.