Go Wombat is a software development and systems integration partner that builds custom software and integrates data-intensive systems for companies in fields such as manufacturing, logistics, energy, AdTech, and sports technology. According to official materials, the company has more than 10 years of experience, has delivered 150+ projects, has a team size of 100+ people, and is ISO 27001 certified.
Purpose: Go Wombat's core positioning is "building data-intensive software for the physical world," covering industrial IoT, big data and AdTech platforms, smart spaces, and production-grade AI. The company acts as the single engineering owner of the overall system, building and integrating web, mobile, and embedded software, including IoT devices, data pipelines, and backend systems.
Main capabilities:
- Custom software development and systems integration services, including: discovery phase/business analysis, cybersecurity and data protection, custom UI/UX design, BI and data visualization, web application development, AI and machine learning services, mobile application development, software testing services, business process automation, and project maintenance and support.
- AI solutions: building custom AI systems around customer data, business logic, and workflows, covering computer vision, NLP, and predictive analytics; providing AI readiness assessments, use case selection, architecture planning, and MLOps setup; connecting AI models to ERP, CRM, IoT, or BI tools; covering the complete AI project from consulting to development to integration with existing systems.
- Other services: IT project management, frontend development, MVP development, backend development.
How it is used: The company emphasizes that every solution is customized around the customer's processes, data, and constraints; when requirements are unclear, start with the discovery phase. The working approach is to act as an extension of the customer's team, first understanding how the company operates, then building prototypes and making technical decisions based on goals. It provides details before, during, and after development, including estimates, progress reports, and code access permissions. The team consists of engineers, designers, QA, and project managers, who jointly take responsibility for the results. On-site meetings are possible, and the team is willing to visit customers or host customers at its offices (Tallinn, Dnipro, Ivano-Frankivsk, Valencia). It provides phone contact details for multiple regions (UK, Denmark, Netherlands, US) and email.
Tech stack: Python is the main backend language, used by the core team for more than 10 years, for web services, data pipelines, machine learning, and AI; Django (built-in ORM, authentication, and admin panel), used for business systems, back office, and management tools; FastAPI (high-performance Python framework), used to build APIs, with automatic data validation and OpenAPI documentation. Projects can be deployed to AWS, Azure, or any virtual hosting server.
Applicable scenarios: industrial IoT (manufacturing and logistics), high-load AdTech and MarTech platforms, smart spaces, and long-term work in the energy, travel, and HR fields. The company states it is willing to take on projects in new industries.
Restrictions or supplements: The materials do not provide specific fee or pricing information. The company offers an AI readiness checklist for quickly assessing an organization's readiness to adopt and scale AI. The materials include customer testimonials and awards (Upwork Top Rated Plus, Clutch 5.0 rating, DesignRush, GoodFirms), but the specific details are not fully expanded.
