We start with understanding the real need and iterate with research to validate it and discover potential solutions. It takes many conversations and rapid prototyping. It is a lot of fun and we love doing it.
We design, develop and launch MVP solutions. Then collect feedback and go through the iteration process for each increment.
We scale and transition into continuous product development, predictable cadences, reliability, and further product iteration. The launch is just the beginning of the journey for our partners and us.
It's is about delivering the right solution at the right time for the right target audience. Product managers have the best understanding of the product at its core and are always planning steps ahead - researching, testing ideas, gathering feedback, and building specs for development.
Throughout the years of creating digital solutions and services in the USA market, we developed a structured delivery framework that works well for distributed teams across different timezones. It focuses the delivery team on the right track to launch good quality software products in the fastest and most efficient way. Dedicated teams, agile mindset, self-organization, and responsiveness are a few key principles behind our delivery process.
Software development is in Adroiti's DNA
Software is simple - it is the set of instructions or programs that tell a computer what to do. We just have to communicate the instructions clearly, efficiently, precisely, so that future humans can understand it too. It's in Adroiti DNA designing, creating, deploying, and supporting software. And our client-partners tell us that we are really good at it!
Adroiti does most of the engineering work out of the Eastern European region with our largest knowledge center located in Lithuania. Lithuania is highly valued by US' tech-entrepreneurs for its high-quality work, talented and motivated professionals, and close-knit, results-oriented co-creative culture. And we also work with amazing talent from Ukraine, Serbia, Italy, Greece, Canada, and the US.
Standard and “usual” tech-stack may increase the short-term speed of product delivery. But we continuously question ourselves - what is the best stack for the product vision. We choose to be open-minded, which is why we cultivate the stack-agnostic approach and focus on the best outcome.
Optimized for the business needs
As we work with Startups and mature enterprises globally, we optimize for the business needs. Tech teams become familiar with the business domain and connect with product vision and end-user needs. That commands the best product outcomes. We focus on the outcome, with the flexibility of approach. This is one of the key differentiating factors that commits products to winning.
Managed IT Services
Adroiti's DevOps team has years of production-level experience running AWS, Azure, and GCP cloud platforms. In addition - our backgrounds run deep since pre-cloud times. Today, we comfortably build and manage Public Cloud, On-premise and Hybrid IT infrastructures.
DevOps cultural model emphasizes ownership and accountability. Developers and operations teams collaborate closely, share responsibilities, and combine workflows. It positions teams to move at a high velocity and enables businesses to innovate for customers faster and grow more efficiently at driving business results. The DevOps model enables developers and operations teams to achieve these results.
We aim to streamline OS and infrastructure updates so that business applications can reliably deliver while maintaining a positive experience for end-users. The goal is to automate monitoring, logging, notifications, and escalations that help us identify and address upcoming challenges before they happen, and provide close to the real-time response.
IT security is a journey. Our aim to move quickly while retaining control and preserving compliance. We work to assess software, computer systems, and networks for vulnerabilities, then design and implement security solutions to address the organization's needs.
We define scalability as the measure of an IT infrastructure's ability to increase or decrease performance and manage costs in response to changes in application processing demands. Every application is unique - our approach is to understand the pros and cons of scaling on-premises, in a public cloud, or in a hybrid model - and execute. With today's modern technologies, scaling up or down can also be automated.
Team members responsible for data engineering prepare data and transform data into formats that other team members can use.
Folks assigned to modeling look for patterns in data that can help a company predict outcomes of various decisions, identify business risks and opportunities, or determine cause-and-effect relationships.
Engineers in charge of deployment take a stream of data, combine it with a model, and test the integration before putting the model into production.
Team members responsible for business analysis evaluate a deployed model’s performance and business value and adjust accordingly to maximize benefit or abandon unproductive models.
AI infrastructure management
Folks who work in AI infrastructure build and maintain reliable, fast, secure, and scalable software systems to assist with data engineering, modelling, deployment and business analysis. And of course we are technology platform agnostic in this space as well!
Blockchain is our new passion
We acknowledge that we are new to this space and have barely started to scratch the surface. But we understand and recognise the capabilities and risks of emerging blockchain technology and are making meaningful progress in this area very fast.
Understand the need
We love building meaningful experiences with the best-fitting stack. One of the questions on our list - what can we solve through blockchain better than using traditional technologies?
What blockchain developers do?
Blockchain developers handle the entire life cycle of a blockchain solution. This means the research as well as the execution of the application. As a complete development cycle - we create the architecture of the system, structure smart contracts, optimize the protocols, and build the solution.