Faster Development With Consulting for a Data-Intensive Finance App
The client
My Dobot is a personal finance advisor that lives on a phone, from a startup based in San Francisco and Denver. It chose Netguru for Ruby on Rails consulting on what is a genuinely data-intensive application.
The challengeWhat the teams actually needed
A bot that advises on money has to be useful, fast and trustworthy with a bank account — three problems that pull in different directions.
Challenge 01An advisor worth listening to
Building a finance advisor bot that actually helps is harder than building one that answers.
Challenge 02Data-intensive by nature
The application had to handle a great deal of data as a matter of course.
Challenge 03Direct access to an account
Managing a user’s bank account directly raises the security bar considerably.
What we did
Merged into the client’s team, across every discipline
Netguru is involved in every aspect of development — engineering, project management and QA — and developers can reach colleagues on other teams when a problem needs it.
One team, not two
The engagement merged with My Dobot’s own team rather than operating beside it.
Room for new features
A scalable architecture means features can be added as the product needs them.
Bank-level
Bank-level security was introduced, which is the minimum when the bot touches an account directly.
Out of proof of concept
The product is moving beyond proof of concept and gaining traction, with a warm reception from early adopters and new features rolling out quickly.
Client testimonial
We are working with front-end and mobile developers, but my resource from Netguru is one of the best developers I've ever worked with. I have been a development manager since the early 2000s, but Netguru's developer has stood out as exceptional. Netguru has a large group of senior developers to which he can go and consult whenever he runs into a problem. We've enjoyed the benefit of this as well.
Tech stackThe tools that made it possible
01
Ruby on Rails
The backend of a data-intensive personal finance application.
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What’s next