Our Geography
Headquartered in the US and operating internationally, our team drives digital transformation for businesses globally. We ensure on-site presence to deliver services to our major target markets in:
North America
Office locations: USA, Mexico
Number of clients: 540+
Europe and the UK
Office locations: Finland, Latvia, Lithuania, Poland
Number of clients: 360+
The Gulf
Office locations: KSA, UAE
Number of clients: 50+
Vilnius, Lithuania
Warsaw, Poland
Riyadh, Kingdom of Saudi Arabia
Fujairah, United Arab Emirates
ScienceSoft’s Path to AI Proficiency
Our AI Services Map
PoC delivery
MVP development
AI model design and training
AI model retraining, explainability, and security audits
What Our Clients Say
Project Management Practices to Drive AI Software Projects to Success
At ScienceSoft, our mission is to deliver high-impact AI solutions regardless of time and budget constraints. To achieve this goal, we follow best project management practices developed by our dedicated in-house Project Management Office (PMO), and the expertise of two strategic units bound to AI: the Architecture and Solutions Center of Excellence (CoE) and the Technology and Competency CoE. Together, they ensure that every AI project is well-managed, well-designed, and future-proof.
Highlights of Our AI Expertise
- Since 1989 in AI, since 2013 in big data and image analysis.
- Practical expertise with leading LLMs, including OpenAI GPT-5, Anthropic Claude (Sonnet 4.5, Opus 4.1), Google Gemini 2.5, Qwen3-Max, Grok 4 Fast, and more.
- Domain experience in 30+ industries, including financial services, healthcare, manufacturing, and retail.
- Expertise in industry-specific standards (HIPAA, GAMP, PCI DSS, GLBA, etc.).
- ISO 9001, ISO 27001, and ISO 13485 certifications.
- Principal architects with experience building complex and secure solutions.
- In-house PMO with 45 project managers holding PMP, PSM I, PSPO I, ICP-APM, and other certifications.
- DevSecOps approach backed by 12 years of experience with frameworks and guardrails by leading cloud platforms (AWS and Azure).