What is Mosaic Research's pricing model?

Mosaic Research uses a per-call pricing model.

How many experts does Mosaic Research have?

Mosaic Research has 20K+ experts in its network.

What services does Mosaic Research offer?

Mosaic Research offers Expert Calls, AI Matching, Startup Research, VC Due Diligence.

Who is Mosaic Research best for?

Mosaic Research is best suited for Growth Equity, Venture Capital, Tech Investors.

Where is Mosaic Research headquartered?

Mosaic Research is headquartered in New York, NY and was founded in 2021.

Boutique SpecialistExpert Network

Mosaic Research

Founded: 2021Partially unverifiable confidence
Headquarters: New York, NYVerified confidence
Region strength: North America
Delivery: Platform-Led

Next-generation expert network leveraging AI-powered matching to connect venture capital and growth equity investors with startup founders, operators, and technology specialists.

VC/startup focus
AI-native matching
Operator and founder network
Pre-IPO expertise

Compare Mosaic Research Visit website

Experts: 20K+Positioning confidence
Employees: 40+Partially unverifiable confidence
Pricing: Per-callVerified confidence

Services

Expert Calls
AI Matching
Startup Research
VC Due Diligence

Positioning

Buyer fit

Best for

Growth Equity
Venture Capital
Tech Investors

When not ideal

Traditional industry research
Need large expert pools
Want proven track record
Public company research focus

Key strengths Positioning confidence

VC/startup ecosystem focus — a niche underserved by traditional networks
AI-native matching optimized for startup-specific signals
Expert network includes founders, operators, and product managers
New York headquarters in major VC hub

Watch-outs Inference confidence

Very young company (2021) with limited track record
Smallest expert database (20K+) among profiled networks
Narrow VC/startup focus limits broader applicability
Limited public information about funding and financial performance

Deep dive

1OverviewPositioning

Mosaic Research is a New York-based next-generation expert network built specifically for the venture capital and growth equity ecosystem. Founded in 2021, the company uses AI-powered matching to connect investors with startup founders, operators, product managers, and technology specialists — a different expert universe than the corporate executives and industry practitioners served by traditional expert networks.

The company focuses on the pre-IPO technology ecosystem, where due diligence requires talking to users, competitors, and ecosystem participants rather than traditional industry experts. Mosaic's AI matching considers startup-specific signals like company stage, technology stack, go-to-market approach, and competitive landscape.

2HistoryInference

Mosaic Research was founded in 2021 in New York, recognizing that venture capital and growth equity investors needed a different kind of expert network — one connected to the startup ecosystem rather than traditional corporate networks.

2021Founded in New York with focus on VC and growth equity investors
2022-2023Built AI-powered matching platform and startup operator network
2024-2025Expanded to 20K+ experts across the technology startup ecosystem

3Services in detailPositioning

Expert Consultations: Consultations with startup founders, operators, product managers, and technology specialists for VC/growth equity due diligence and market research.
AI-Powered Matching: Matching algorithm optimized for the startup ecosystem, considering company stage, technology stack, go-to-market approach, and competitive dynamics.
Startup Ecosystem Research: Research into startup competitive landscapes, technology adoption trends, and market dynamics for pre-IPO investment evaluation.

4AI & platformPositioning

Mosaic's AI platform is optimized for the VC/startup ecosystem with matching that considers startup-specific signals.

AI-powered expert-investor matching
Startup ecosystem mapping
Real-time expertise scoring
Pre-IPO company conflict detection

5CompliancePositioning

Mosaic's compliance framework is designed for pre-IPO company research, with automated MNPI screening adapted for private companies.

Automated MNPI screening for pre-IPO companies
Startup affiliation conflict checks
AI-assisted vetting
Audit trail for all interactions

6Client fitInference

Purpose-built for the VC/growth equity community. Less relevant for traditional institutional investors or corporate strategy teams.

Venture capital firms conducting due diligence on startups
Growth equity investors evaluating technology companies
PE firms assessing technology-forward acquisition targets
Corporate venture arms researching startup ecosystems

7Notable factsPositioning

One of the few expert networks focused specifically on the VC/startup ecosystem
AI matching considers startup-specific signals like company stage and tech stack
Expert network includes startup founders and operators, not just traditional industry experts

8Source notes & methodology

Mosaic Research website
Expert network industry directories

9Data confidence ratings

Each data point in this profile is graded for source confidence. Here's what each badge means:

Verified confidence: Confirmed by official company disclosures, regulatory filings, or multiple independent sources.
Positioning confidence: Based on company marketing claims or self-reported data that could not be independently verified.
Inference confidence: Estimated or inferred from indirect evidence, third-party aggregators, or industry context.
Partially unverifiable confidence: Some aspects verified but full claim cannot be independently confirmed (e.g., private company financials from third-party estimates).

This profile's ratings

Founded	Partially unverifiable confidence
Headquarters	Verified confidence
Expert count	Positioning confidence
Employee count	Partially unverifiable confidence
Pricing model	Verified confidence
Services	Positioning confidence
Compliance	Positioning confidence
Overview	Positioning confidence
History	Inference confidence
Services in detail	Positioning confidence
AI & platform	Positioning confidence
Compliance (detailed)	Positioning confidence
Client fit	Inference confidence
Strengths	Positioning confidence
Caveats	Inference confidence
Notable facts	Positioning confidence

10How we researched this

This profile was researched and written by the ExpertNetworks.net editorial team using a multi-source methodology:

Primary sources: Company website, press releases, SEC/regulatory filings, and official announcements
Third-party verification: Industry reports (Integrity Research, Inex One), news coverage (TechCrunch, Bloomberg, FT), and data aggregators (PitchBook, Tracxn, Crunchbase)
Cross-referencing: Claims were checked against multiple independent sources where possible; single-source claims are flagged
Confidence grading: Each data point is rated as Verified, Positioning (company-claimed), or Inference (estimated from indirect evidence)

We do not accept payment from any expert network for inclusion or favorable coverage. If you spot an error, contact us with the correction and source.

Last fact-checked: 2026-03-07