About Vector:
- History: Established in 2018, Vector has been the vanguard of regulatory change management, now supercharged with the power of RegLLM.
Our Vision:
- Statement: “To empower businesses, transforming regulatory challenges into growth levers, across industries.”

Michael Vogman heads our Sales & Marketing division. With a background in international business, he and his team ensure that Vector’s innovative solutions reach businesses globally, helping them transform regulatory challenges into opportunities.

Our R&D team, led by Tim Zhiley, is a melting pot of brilliant minds from around the world. Comprising data scientists, linguists, and regulatory experts, they are the driving force behind RegLLM and our suite of products.

Alex Gas, CEO: Alex has been pivotal in ensuring Vector’s stable growth. He’s a has a deep understanding of the regulatory industry’s financial landscape.

Jim Balmer, Advisory Board: Bringing operational excellence to Vector, Jim’s vast experience in process optimization and management ensures that our solutions are not just innovative but also practical and user-friendly.

Victor Blud, CTO: A tech visionary, Victor has been instrumental in developing our patented NLP technology. With a background in AI and Machine Learning, he constantly propels Vector towards technological excellence.

Sergey Babich: With a Ph.D. in Computational Linguistics and over 10 years in regulatory management, Dr. Babich leads with vision and expertise. His passion for technology and innovation has been the cornerstone of Vector’s success.
Advisory Board:
Comprising seasoned professionals from industries like healthcare, finance, and manufacturing, our Advisory Board provides strategic insights, helping Vector remain attuned to the ever-evolving world of regulatory challenges.
At Vector, we believe that our strength lies in our diversity, passion, and commitment to excellence. It’s not just about the solutions we offer, but the people behind them that make the difference.
RegLLM Prompt Engineering
RegLLM supports the following types of prompts:
Zero Shot Prompts: These are prompts that require no previous knowledge or information related to the topic.
One-Shot Prompts: These are prompts that require only a single response or answer.
Information Retrieval Prompts: These are prompts that require information from a specific source or resource.
Context Expansion Prompts: These are prompts that require an explanation or additional context to provide a complete answer.
Content Summarization with Specific Focus Prompts: These are prompts that require a concise summary of a specific topic or subject.
Chain-Of-Thought Prompting: These are prompts that require a thought process or chain of reasoning to answer.