Public comps, private rounds, and M&A benchmarks across the AI stack, organized by segment and updated for Q1 2026.

AI valuations did not move in one direction in Q1 2026. They separated.

This dataset is built to help founders, investors, and corporate teams benchmark that separation with a consistent reference set, without relying on vague “AI multiples.”

You get a structured view across the market, by segment, and by transaction type, so you can triangulate what is defensible in public comps, what is being priced in private rounds, and what is actually clearing in M&A.

575 companies · 15 niches · Public/Private/M&A · EV/Revenue & EV/Funding

€149.90 • Instant Download (Excel)

What You’ll Get

• Investor-grade benchmarks for the AI landscape, Q1 2026. USD-denominated.

• Pivot-ready Excel aligned with the methodology used in the companion article.

• Charts and summaries you can paste into a deck in minutes.

• Source-noted entries and quarterly refreshes on material events.

What’s Inside:

1️⃣ Database of 575 AI Companies

• Early- to late-stage startups, public firms, and M&A exits

• EV/Revenue, EV/EBITDA, EV/Funding multiples

• Valuation, revenue, capital raised, funding stage, and more

• Fully tagged by niche and deal type

2️⃣ Segmented by 15 Niches

• LLM Vendors

• Computer Vision

• AI Robotics

• Search Engine

• Infrastructure

• Data Intelligence

• Cybersecurity

• Health Tech

• Fintech

• PropTech

• Legal Tech

• Marketing Tech

• HR Tech

• Sales & Customer Ops

• Productivity Tools

See how multiples shift across different layers of the stack and applied verticals.

3️⃣ Stage-by-Stage Valuation Trends

• Compare how Seed, Series A, B, C, and late-stage rounds are priced.

• Use real-world benchmarks to pressure test assumptions and refine a target range.

4️⃣ Private vs. M&A vs. Public Comps

• Spot where venture pricing diverges from public market anchors.

• See how strategic acquisitions typically clear versus private round marks.

• Use cross-market triangulation to avoid benchmarking against the wrong lens.

5️⃣ Core vs. Applied AI Segmentation

• A clean split across two functional layers.

• Core AI covers the rails: models, infrastructure, data systems, and developer tooling.

• Applied AI covers outcomes inside workflows: legal, HR, writing, finance ops, and vertical execution.

• Use this view to benchmark the right peer set and avoid mixing platform economics with workflow economics.

6️⃣ Agentic AI Zoom-In View

A dedicated cut across agentic companies and specific AI Agents segments.

Built to analyze where agents are clearing premiums versus where pricing compresses.

Useful for founders and investors evaluating “agent” positioning, packaging, and valuation expectations across both Core and Applied layers.

7️⃣ Pre-Built Views and Visuals

• Charts, pivot tables, and ready summaries.

• Filters for niche, round, and deal type, no formatting required.

• Built to support fast comp work, internal memos, and investor materials.

Who This Is For

• Startup founders benchmarking valuation for fundraising.

• VCs and investors setting expectations or comparing deals.

• Corporate development teams evaluating M&A or partnership opportunities.

• Consultants and analysts building valuation models with real numbers.

Why It’s Different

No fluff. Clean structure. Source-noted. Built for analysis, not browsing.

It’s not a PDF. It’s a working Excel tool designed to be used.

Format & Price

• Format: Microsoft Excel (.xlsx)

• Price: €149.90

• Delivery: Instant download after purchase — no subscription, no upsells

Add to Your Toolkit

If you’re pricing a round, pitching investors, building a comp set, or analyzing a deal, this dataset gives you the hard numbers to back it up.