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VC Intelligence Report

Philips SpeechAir

AI Tools — Philips SpeechAir transforms spoken words into text through advanced voice recognition technolog…
AI Toolsest. 2016
▲ Rising
Category standing real
31th pctl · AI Tools
22.9
Signal score
0–100 composite · real
#2,422
Category rank
of 3,814 · real
53th
Universe percentile
vs 79,105 modeled · real
73%
Mortality P(dead)
model est. · model est.

Signal trajectory

real

Signal 9.613.2 across 25 readings (+3.6). Composite of press, GitHub velocity, community heat, liveness and funding.

Cross-sectional profile

percentile rank vs 79,105 modeled products
Signal (universe) real
53
Signal (category) real
31
Profile maturity real
53
Tag breadth real
12
Network position sparse
94
Press footprint sparse
0

Percentiles computed over the modeled cohort (embedding + signal + tags). Sparse dimensions — network and press — reflect that most products have zero, so a single edge or mention lifts the rank; read those with the coverage flag.

Mortality outlook

model estimate
73%
P(inactive)
Elevated risk
Higher risk than 64% of the universe.

This is a model estimate, not a verdict. 78,505 of the 79,105 modeled products are unlabeled and scored by the model only.

  • LightGBM · binary mortality (dead vs surviving)
  • Held-out AUC 0.71 · CV AUC 0.79 ± 0.05 · Brier 0.21
  • Trained on 600 verified labels (150 dead / 450 surviving)
  • Leakage-guarded: excludes status, discontinued_year, profile_maturity
  • Top drivers: tag breadth, signal, vintage, liveness, business model

n=600 is thin → 95% CI on AUC ≈ ±0.10. Treat as a directional signal, not a calibrated probability.

Analyst read

generated from the metrics above · no external narrative

Philips SpeechAir sits in the 53th percentile of Launch Sentinel's 79,105-product universe by signal, ranked #2,422 of 3,814 in AI Tools. The mortality model puts its probability of going inactive at 73% — a model estimate with a wide confidence band. It sits on the competitive-alternatives graph with 1 linked rival, so the comparable set below leans on curated edges. Signal momentum is positive (WoW +37.1).

Comparable set

curated alternatives → functional tag-similarity
CompanyBasisSignalP(dead)
Dragon Anywhereai-toolscurated15.711%
SMACtalk Ep 66: 2017 S.M.A.C. Predictions To The Letter!entertainmenttag-overlap15.763%
Omnyentertainmenttag-overlap15.796%
Crimetown #1: Divine Providenceentertainmenttag-overlap15.763%
Meditation Music - Relaxhealthtag-overlap30.075%
It's All Mishegoss #33: I decide to run for President!entertainmenttag-overlap15.780%
bedr radioproductivitytag-overlap15.774%
Bubo, books with synchronized musicentertainmenttag-overlap25.765%

Confidence reflects source and category coherence: curated = an editorially linked alternative; similar = strong functional tag-overlap in the same category; tag-overlap = shared tags only and may be noisy. Signal & P(dead) are real / model.

Structure

observed attributes
Business modelunknown
Liveness tiersunset
Open sourceNo
Public APINo
Free tierNo
Enterprise tierNo

Funding & team

not in source

No disclosed funding in our sources. Funding data covers only ~1% of the corpus (462 rounds across 79K products), so absence here is unknown, not zero— we don't estimate a number we can't source.