Also known as: Varos
AI agents that perform business analyst tasks 10x faster by conducting interviews to capture knowledge, optimize processes, and build secure knowledge bases.
Traditional business analysts take months and high costs to gather scattered employee knowledge, map processes, and deliver insights for projects like migrations or optimizations.
Traditional business analysts take months and high costs to gather scattered employee knowledge, map processes, and deliver insights for projects like migrations or optimizations.
AI agents like Arthur conduct rapid interviews, analyze data, and build reusable knowledge bases to deliver analyst work 10x faster, better, and cheaper.
AI agents like Arthur conduct rapid interviews, analyze data, and build reusable knowledge bases to deliver analyst work 10x faster, better, and cheaper.
Appears active as of February 2026 based on active website and YC profile.
Appears active as of February 2026 based on active website and YC profile.
Varos Research develops AI-powered agents designed to handle business analysis tasks efficiently. These agents focus on discovery processes, replacing traditional analysts with automated interviews and insights generation[1][3][4].
The primary agent, Arthur, conducts 10-15 minute voice or text interviews with teams to gather institutional knowledge. It cross-references information, analyzes findings, and delivers actionable insights for process mapping, optimization, knowledge documentation, automation support, and root cause analysis. Agents learn from conversations to improve over time.
Varos Research develops AI-powered agents designed to handle business analysis tasks efficiently. These agents focus on discovery processes, replacing traditional analysts with automated interviews and insights generation[1][3][4].
The primary agent, Arthur, conducts 10-15 minute voice or text interviews with teams to gather institutional knowledge. It cross-references information, analyzes findings, and delivers actionable insights for process mapping, optimization, knowledge documentation, automation support, and root cause analysis. Agents learn from conversations to improve over time.
Total Raised: $8.5M
Total Raised: $8.5M
SaaS subscription for AI agent access
SaaS subscription for AI agent access
Enterprises needing process optimization, financial institutions, and teams handling system migrations or automation projects
Enterprises needing process optimization, financial institutions, and teams handling system migrations or automation projects
Active website and YC profile as of 2026.
Hiring: Open roles for engineers and sales in New York and remote US.
Active website and YC profile as of 2026.
Hiring: Open roles for engineers and sales in New York and remote US.
Gathered data forms a private, secure knowledge base, converting tribal knowledge into institutional assets usable across organizations. Examples include unblocking system migrations by interviewing operators rapidly, as demonstrated in financial sector cases[1].
Gathered data forms a private, secure knowledge base, converting tribal knowledge into institutional assets usable across organizations. Examples include unblocking system migrations by interviewing operators rapidly, as demonstrated in financial sector cases[1].
Varos targets complex enterprise needs such as process optimization, employee knowledge extraction, and problem-solving support. It supports projects where quick capture of distributed expertise is essential, operating 24/7 in multiple languages[1][3].
Varos targets complex enterprise needs such as process optimization, employee knowledge extraction, and problem-solving support. It supports projects where quick capture of distributed expertise is essential, operating 24/7 in multiple languages[1][3].
Built as AI agents for discovery, the platform emphasizes speed and cost efficiency over human-led consulting. Additional agents like Angela contribute to in-depth interviews with hundreds of employees, producing deliverables typically requiring months[3][4].
Built as AI agents for discovery, the platform emphasizes speed and cost efficiency over human-led consulting. Additional agents like Angela contribute to in-depth interviews with hundreds of employees, producing deliverables typically requiring months[3][4].
Supported by Y Combinator and Mosaic General Partnership. Founders include Yarden Shaked with private equity experience, Lior Chen with enterprise software background, and Gil Shaked, former CTO at Dun & Bradstreet[1][3]. Team size noted as 9 members[1].
Supported by Y Combinator and Mosaic General Partnership. Founders include Yarden Shaked with private equity experience, Lior Chen with enterprise software background, and Gil Shaked, former CTO at Dun & Bradstreet[1][3]. Team size noted as 9 members[1].
