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Our latest cases

Check out some of the recent success stories that we made happen

Digital Transformation in Cloud

Client
Lecko
Sector
Business consulting
Country
France
Project start
August 2017
Backend
Cloud
Performance audit
Security audit

Project Background

Lecko is a management consulting company that facilitates digital transformation processes and analytics. They do it by analyzing qualitative data related to actions taken by people in their working environment. What they needed help with was taking their business to the next step by creating a cloud platform solution.

Main Challenge

Integrating Lecko’s existing analytical systems with business solutions providers such as Office 365 and GSuite.

Our Approach

We conducted a thorough technical audit of the currently used systems and implemented cloud solutions based on GCP and Azure. The project involved a full configuration of the cloud infrastructure as well as performance improvements in the existing systems to allow real-time processing of large data quantities.

Technology

gcp
mongo
azure
java
googleBigQuery

Final Outcome

Thanks to our help, Lecko was able to successfully move all their analytics to the cloud, which in turn boosted up the overall system performance. By reducing Time to Market, they can now react faster to the increasing client demand, which was much needed given that their analytical platform provides currently business services to around 20 organizations willing to accelerate their digital transformation.

Smart Fintech Platform

Client
Self Learning Solutions
Sector
Fintech
Country
Poland
Project start
April 2018
Backend
Cloud
Artificial Intelligence

Project Background

Self Learning Solutions is a Polish start-up that came to us with a great concept for creating a SaaS platform offering advanced tools to support Business Process Management in the financial industry using Artificial Intelligence and Machine Learning mechanisms. We took on responsibility for their architecture design and the entire product development process.

Main Challenge

Create from scratch a SaaS platform that supports loan and credit businesses with the use of a decision-facilating and scoring engine.

Our Approach

We conducted a thorough desk research to select an appropriate framework which would suit the needs of a unique loan-offering platform. The next steps were architecture design, development and final implementation of the solution on the client side. This was the first project where we partnered with the Google Cloud Platform.

Technology

gcp
java
flowable
kubernetes
tensorflow

Final Outcome

We created a fully scalable SaaS platform, which is now successfully implemented by four end clients. What is more, we have conducted a series of complex integrations with third-party solutions offering risk assessment and borrower verification services. Mindful of any potential security risks, we have made sure that the final product follows the PSD2 and GDPR guidelines. Our cooperation with SLS has not stopped at this stage. We are currently working on the platform adjustments which will use advanced Artifical Intelligence mechanisms to revolutionize the loan taking processes.

Interface for Detecting Emotions

Client
Qemotion
Sector
Digital Marketing, Business Apps
Country
France
Project start
August 2017
Frontend

Project Background

Qemotion is an AI company that specializes in the development and distribution of online marketing based on emotional analysis. They are a worldwide leader in detecting emotional impact in customer reviews, comments and emails which can be later translated into actionable insights for marketing strategies and business decisions. Our role was twofold - help them develop their User Interface and improve existing architecture in terms of performance and security.

Main Challenge

Provide best-in-class User Interface solutions for the end users’ B2B platform.

Our Approach

We started off with a pilot project using Google Maps to present the clients’ locations (ie. stores and and banking institutions) with the aggregated satisfaction levels collected from their customer feedback. We customized the map UI interface to comply with Qemotion’s brand identity and adjust to large data quantities. The end user was also given freedom to control the map scale and focus on particular locations. The next step after the pilot was the development of a new feature presenting customer insights by utilizing complex data-driven animations integrated with React. Another feature we helped to create used analytics to display opinions from plane passengers on their satisfaction with seats they booked on particular flights. Finally, we developed a UI for a complex reporting tool collecting data on various aspects of activities performed by the internal employees and clients using Qemotion’s platform. We also proposed new solutions to improve the performance and security of the frontend architecture of the system.

Technology

react
d3
styledComponents
graphQl
apollo
webpack
googleMaps
jest

Final Outcome

The end result of our collaboration with Qemotion is a fully functional product ready to implement on the end user side. What our client appreciated the most about our contribution to the project was the high quality of code and ease with which you can scale the architecture of the final solution.

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