Private Markets / Emerging Spaces / Enterprise AI Applications

Enterprise AI Applications

Applied AI rebuilding enterprise workflows — search, support, sales, ops, and vertical suites.

36/100momentum · Cooling
32tracked companies
$91Bcombined valuation
$1.3Bcapital · 90d (6 deals)
$4.7Bcapital · 1y (20 deals)
19new entrants · 1y
-6.9%median secondary vs round (12 marks)

Momentum components — 4/4 computable

Funding acceleration36
Deal velocity44
News heat19
Secondary temp43

Components that cannot be computed are dropped and the weights renormalize — never faked to neutral.

Capital by quarter — disclosed rounds

24Q425Q125Q225Q325Q426Q126Q226Q3

Undisclosed amounts count as zero capital; deals still count.

#CompanyValuationSecondary vs RoundLast Round

Methodology. Emerging Spaces groups the tracked private-company roster into curated thematic spaces and scores each space's momentum 0–100 from four disclosed-data components: trailing-90-day capital vs the prior 90 days (40%), deal-count acceleration on the same windows (25%), news activity per tracked company over 30 days (20%), and the median secondary-market premium to last round across the space's marked names (15%). Components that cannot be computed are dropped and the weights renormalize — the basis is disclosed per space. Quarterly trends derive from dated, disclosed rounds; undisclosed amounts count as zero capital. An attention map of disclosed activity — not a prediction, not investment advice.