The Tech Executive's co-pilot for implementing AI successfully.

Varos is a market research platform of the AI-era that leverages private & public data to provide a tech executive with critical information & guidance on their main questions related to AI implementations

Built by Fortune 500 Enterprise CTOs to solve their largest problems.

Book a Demo

Full access. No card required.

Built by Tech Executives, for Tech Executives

Gil Shaked

CO-FOUNDER, FORMER CTO OF DUN & BRADSTREET

Gil has 30 years experience in the industry. He has been the CTO of Dun & Bradstreet and before then a divisional CIO at Morgan Stanley, Credit Suisse and Citadel

Steve Liebich

ADVISOR/INVESTOR, FORMER CIO OF MORGAN STANLEY

Former CIO of Morgan Stanley and former CIO of Citadel

Andy Brown

Operating Advisor/Investor, Former Divisional CIO of Credit Suisse

Former Divisional CIO of Credit Suisse
Runs a Boutique Consulting firm focused on Tech Executives

Yarden Shaked

Co-founder, former private equity investor

Former Investor at Apax and Investment Banker at Rothschild

Join 7,000 Companies in leveraging
Varos' Competitive Intelligence Platform

Our Features

Competitors’ initiatives and gap analyses

Analyze what your competitors are working on that you’re not and find where you can get ahead of the curve.

AI Initiatives Reports

Deep dive reports into specific AI initiatives to get proprietary info on what's actually working for others, which vendors are working the best, technical challenges, the KPIs you can expect and more

Expert Analysis

Findings and custom analysis are presented via our experts of Fortune 500 CIOs

Primary research via AI-Interviews

Information gathered by autonomously interviewing key industry experts, relevant peers and/or clients of vendors

Secondary research

Curated information from world’s leading public sources, verified for accuracy

AI-Powered free-text search on Varos’ data

Will help answer important questions such as 'what vendor should I pick for LLM Observability?' and 'what KPIs can I expect if I implement KYC automated by AI?'

Vendor Analysis

Get a non-bias, backed by real-data vendor mapping. Generated from what's actually working for peers in the space, and not by overly optimistic information from the vendors