SoloAnalyst is an AI-powered investment due diligence platform that generates VC-grade triage reports for angel investors, VCs, and M&A analysts. It verifies pitch deck claims using multiple data sources including Crunchbase, LinkedIn, and traffic analysis.

How does the URL-to-Memo feature work?

Drop a company URL and our agent swarm uses Brave/Tavily Dorking and strict LinkedIn extraction to build an Outside-In profile, analyzing unlisted competitors and team history in under 3 minutes.

What is Deck Verification?

Upload a pitch deck along with the company URL, and we cross-reference their TAM, web traffic, and growth claims against external reality to spot red flags before your meeting.

How much does SoloAnalyst cost?

SoloAnalyst offers a free trial with 1 report. The Pro Plan is $29/month for 20 reports ($1.45 per report) with rollover credits.

What data sources does SoloAnalyst use?

We use Crunchbase for funding data, LinkedIn for team verification, Lever/Greenhouse for hiring analysis, and SimilarWeb proxies for traffic analysis, plus advanced web dorking techniques.

What is the Pre-Meeting Arsenal?

Every report includes 3-5 aggressive, data-backed questions designed to test the company's actual moat and expose hidden risks during your first meeting.

Is there a free trial?

Yes, the Trial plan is completely free with 1 due diligence report. No credit card required.

AI in Venture Capital: 2026 State of the Market

AI has moved from novelty to baseline in venture workflows. The question is no longer whether a team uses AI. The question is where it creates durable advantage.

Where AI is already standard

1. Inbound triage

Funds now auto-parse decks, websites, and public signals to prioritize partner attention.

2. Research acceleration

Analysts use AI to aggregate market context, competitor sets, and operating benchmarks in hours instead of days.

3. Memo production

First-draft memos are increasingly machine-assisted, especially in early-stage screening.

Where AI still underperforms

AI still underperforms in three domains where human judgment remains essential:

1. Founder quality judgment

AI can summarize a background. It cannot replace partner intuition in high-stakes interpersonal evaluation. Founder quality judgment requires reading nuance in speech patterns, crisis handling, and response to adversity — all context AI cannot access in text-based analysis.

2. Non-obvious market insight

The strongest investment theses still come from proprietary networks and lived operator context. AI is trained on public data — it cannot access the private conversations, industry gossip, and pattern recognition from operating experience that produces the best investment insights.

3. Decision accountability

Investment committees cannot outsource responsibility to model outputs. Someone must own the consequence of every investment decision — a structural requirement AI cannot fulfill. In our survey of 150+ institutional investors, 89% said AI was useful for research acceleration but fewer than 20% trusted AI outputs for final investment decisions (SVB 2025 Innovation Report).

2026 operating pattern for top teams

The best-performing funds use a "machine-first, partner-final" system:

AI handles evidence gathering and contradiction checks.
Humans focus on framing, conviction, and downside design.

This combination improves both speed and decision quality.

What this means for founders

Founders should expect much faster factual verification.

Claims about traction, hiring, customer value, and market leadership are now cross-checked against external data quickly. Narrative quality still matters, but unsupported assertions fail sooner.

What this means for investors

Your edge is not tool access. Everyone has tools.

Your edge is:

Better questions
Stronger model of risk
Faster synthesis under uncertainty

AI compresses the cost of information. It does not eliminate judgment.