Aterise experts use a number of methods and procedures to identify all the requirements before the beginning of development process of an application.
Aterise will help to bring to life inspired ideas, startups, to develop software solution based on client′s vision. Analysis of market niche for the product, technological complexity and client′s financial abilities will help us grow up and rise a new product.
Having legacy software tools supporting business operations potentially mean facing multiple growing risks, extra costs as well as critical constraining factors.
As a rule, clients have an excellent understanding of the business problems they want to solve. However, translating these problems and their solutions into a complete software product is a unique skill requiring the intersection of knowledge from a number of diverse areas.
We carefully listen to our clients, research their existing business processes which need to be changed and combine the gained knowledge into a fully-structured document that describes a complete software product in detail.
The Art of writing such documentation means it must be consistent, complete, and evolve over time without losing its consistency as the requirements advance.
We formalize, structure and systematize all the requirements and wishes of the client in order to highlight those of them, which are considered to be the most critical, simple, vitally important, and just additional.
Such an approach lets us find a healthy compromise between the development period and the product benefits for the client as well as make the application extremely targeted towards the problem that it’s about to solve.
As we've gathered requirements and identified the application’s scope and goals, our team is ready to determine a high-level estimation of time costs & budget.
Our clients receive a so-called “reliable cost degree” of the project and get the transparent understanding of development budget they’re eligible to reckon.
Clear & comprehensive documentation is vitally important within the frames of a complex product. Otherwise, the data is transformed into a set of dispersed knowledge which is an obvious risk.
At Aterise, we scale documentation along with writing the code, always having the current status of the docs for the current state of the system at hand.
Since we've gathered requirements, identified the application’s scope and goals & estimated the complete solution, we can now choose the optimal composition of the project team and outline the development plan with the major milestones.
We plan the development process in a fully transparent and visible way, kicking off with a minimally functioning system and getting right to a complete solution.
Aterise team always puts in time for testing, deployment, acceptance and the latest improvements suggested by the client.
Take a closer look at our projects. Get a deeper insight of what we do at Aterise.
For the Clever Thing client Aterise has enforced a critical business process helping the company grow bigger and expand its operations.
Aterise is a software development company with a strong team of senior experts, catering for its global clientele with innovative cost-effective solutions across different industry verticals.We take you from potential to performance, help you develop your business with planning, architecture, design, development, QA and customer support. For Add Fire Aterise is acting as a technology partner, working on an online marketing solution.
Aterise developed a functional frontend system with an opportunity for further backend integration based on Customer’s mockup. The project resulted in a developed software which predicts people’s movements along the area which has beacons placed around. The software uses data taken from the accelerometer and user phone’s compass with the software set up on the phone.
For EMLink client Aterise took on engineering challenges to help bring usual museum audio tours to a next level.
There's a prototype created with the artificial intelligence technology to predict the behavior of the system in high loaded environment (processor resources, random access memory, net resources, hard drive resources). This is a learning self-educating system with the help of A.I. algorithms.