Pattern Match
visit site- $10,000+
- 10 - 49 employees
- Gliwice, Poland
Client Insights
Industry Expertise
35%
25%
20%
20%
Client Size Distribution
Small Business (<$10M) 50%
Midmarket ($10M - $1B) 50%
Common Project Size
<$10K 5 projects
$10K-$49K 3 projects
$200K-$999K 3 projects
Clients
- HRS.de
Highlights from Recent Projects
Pattern Match was hired by a cybersecurity platform to consult on standard configurations of Amazon Web Services (AWS). The cybersecurity company's CEO needed expert advice on their approach to web services management. After a recommendation from an employee, Pattern Match was selected for their expertise in AWS. The project began with an interview about the platform and its AWS challenges, followed by an online consultation where Pattern Match provided step-by-step solutions. The collaboration resulted in an insightful meeting that met the cybersecurity company's standards and expectations.
A financial services company engaged Pattern Match for fintech consulting. The co-founder and CTO of the company aimed to generate a proof of concept and get technical help on short-term issues. Pattern Match was chosen due to their strong reputation and positive online reviews. The project involved creating an overview plan and three draw.io infrastructure plans for internal data flows, networking and compute services, and security and logging. The collaboration with Pattern Match resulted in a valid proof of concept and a detailed plan of basic infrastructure and services.
DTiQ, a company providing services for quick service restaurants, hired Pattern Match for cloud consulting. The VP of research and development at DTiQ needed to change the architecture that gathers data from the customer side and was looking for a partner experienced in AWS. Pattern Match was selected for their cloud expertise and flexibility. The project involved designing the architecture, selecting the proper services, and doing the cost simulation for the design of the architecture. The collaboration resulted in a new cloud-stored architecture and automated costs, meeting DTiQ's needs and expectations.