2016 - 2019

SignifAI - AI&ML Company

SaaS ApplicationData PlatformAI
Mission

SignifAI is a server events and metrics monitoring application, focused on correlating related issues and extracting predictive insights driven by AI & ML algorithms.

Long Story Short

About Project

Project Highlights

SignifAI not only analyzes and manages server events data but also can provide its own AI-powered insights for specialists.

This is achieved by using exceptional technology that has been developed through extensive experience with actual customer data, as well as a profound understanding of site reliability engineering (SRE) best practices and machine intelligence.

The product’s vision is not just about predicting data issues but also making it easier for teams to address them through a user-friendly interface and seamless integration with existing tech stacks. SignifAI offers teams an intuitive interface, automatic issue prioritization, noise reduction, and integrations with numerous services like Asana, Jira, Github, Slack, Datadog, AWS, and more, simplifying workflow and enhancing efficiency.

Dashboard for checking server-side issues and the related logs
Challenge Accepted

Requirements

  • The founder of SignifAI was searching for a reliable tech partner who could bring every idea to life and transform a large number of design screens into scalable frontend code on a long-term basis. The goal wasn’t just to build an MVP together, but to continue evolving and expanding it with us.

    The application interface was truly expansive — dozens of integrations, multiple types of notifications within a complex dashboard, detailed diagrams and timelines to track patterns in data issues across the applications logs.

Interface for visual programming of reactions to server issues
Unlocking Success

Solution

We helped client to build the frontend side of the application dashboard and its internal pages, using React.js & Redux and helped with some integrations.

During our cooperation, we helped not only to develop new components, but also to maintain effective code architecture with ongoing refactoring and code reviews.

We faced challenging tasks such as building an interactive block diagram builder where you can visually build an algorithm for reacting to different server events and issues. We helped to implement the frontend part of this interface which includes creating conditions, setting variables, and integrations with different services.

We worked together for more than 2 years(3000+ hours) and developed more than 400 design screens. Our long-term partnership started from the first design drafts and finished when the startup was acquired by New Relic company.

30 Feb. 2019I’m glad that I found the team because, in two years of productive work, they never let us down. Although the tasks we were facing were not easy, the guys succeeded with the tasks and each time they confirmed their expertise and focus on the success of the project. Thank you, team!

Guy F.CTO & Founder, SignifAI