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VECTOR Labs Data & Analytics agency logo

VECTOR Labs

Data & Analytics London, United Kingdom
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VECTOR Labs is an applied AI engineering company that builds and ships production machine learning for regulated, high-stakes environments. The team turns data into validated, deployable models across healthcare, life sciences, manufacturing, finance, and media. It built and certified the AI behind a Class IIa cardiac diagnostic.

VECTOR Labs is an applied AI engineering company founded in 2018 that builds and ships production machine learning for businesses operating in regulated, high-stakes environments. The team specializes in turning data into validated, deployable models across healthcare and life sciences, manufacturing, finance, and media. The company operates from Manchester, UK and Sofia, Bulgaria, with headquarters in London, United Kingdom.

The agency employs 50 to 99 professionals and has a minimum budget available upon inquiry. VECTOR Labs built and certified the AI behind a Class IIa cardiac diagnostic, and has delivered generative AI for drug discovery, clinical decision support and LLM tools, computer vision for manufacturing quality and predictive maintenance, and forecasting and recommendation systems. The work is backed by peer-reviewed research.

VECTOR Labs offers services including big data analytics, AI development, software development, web development, wearables, software testing, and IT services. Areas of expertise span AI application development, AI consulting, chatbot solutions, computer vision, machine learning, predictive analytics, big data consulting, data mining, data science, data strategy, IoT, and cloud application development. The agency uses technologies such as Python, C++, SQL, AWS, Linux, Amazon, IBM Blockchain, WordPress, and Joomla.

The agency serves industries including fintech, health care, education, and manufacturing. Client types range from small businesses to medium businesses and enterprise or corporate clients. Notable clients include MNDB LLC, FactorIoT, and Crinitus Ltd.

VECTOR Labs has a portfolio project titled "AI model development and certification for cardiovascular medicine," completed in 2023 with a budget between $100,000 and $250,000 over 24 months. The team includes CEO Nick Nikolovski, a strategic leader with a background in corporate consulting, and Chief Scientific Officer Georgi Nalbantov, who holds a PhD in Econometrics and multiple postdocs in data-mining and medical data analysis.

No Google reviews are available for VECTOR Labs at this time. The agency's strengths are evidenced by its certified medical AI, peer-reviewed research, and end-to-end delivery from strategy through deployment.

Services

  • Big Data Analytics
  • AI Development
  • Software Development
  • Web Development
  • Wearables
  • Software Testing
  • IT Services

Industries Served

Fintech Health Care Education Manufacturing

Team Size

50 - 99

Pros

  • Built and certified the AI for a Class IIa cardiac diagnostic
  • Delivered generative AI for drug discovery, clinical decision support, and LLM tools
  • Work backed by peer-reviewed research
  • End-to-end delivery from strategy through deployment

Frequently Asked Questions

VECTOR Labs is an applied AI engineering company that builds and ships production machine learning for regulated industries.
The agency serves healthcare, life sciences, manufacturing, finance, media, fintech, and education.
VECTOR Labs has headquarters in London, United Kingdom, and operates from Manchester, UK and Sofia, Bulgaria.
The team has 50 to 99 employees.
The minimum budget is available upon inquiry.
VECTOR Labs built and certified the AI for a Class IIa cardiac diagnostic and delivered generative AI for drug discovery and clinical decision support.
Yes, the agency's work is backed by peer-reviewed research.
The agency works with small businesses, medium businesses, and enterprise or corporate clients.
The agency uses Python, C++, SQL, AWS, Linux, Amazon, IBM Blockchain, WordPress, Joomla, and various AI and big data platforms.
VECTOR Labs specializes in regulated, high-stakes environments with a focus on validated, deployable models and has a track record of certified medical AI.
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