1 signal · bluesky
Scores are directional signals derived from aggregated public data — not verified findings or investment advice. Methodology
Signal-based estimates from public data — not verified assessments. Learn more
Moderate stress signals detected across available public data.
Signal data from 1 source places Scalable Capital in the Fintech / Wealthtech space at moderate workforce stress signals with moderate risk indicators.
Signals for Scalable Capital were collected from 1 source. Aggregate signal sentiment appears broadly cautionary. The stress score stands at 64/100 with a risk score of 64/100. Signal volume is very low; these findings should be interpreted with significant caution.
What this means
Limited signals collected so far — this score may shift significantly as more data arrives.
AI-generated from public signals — may be incomplete. Based on 1 recent signal.
This summary is generated from publicly available review and signal data. It is intended as an indicative overview only and should not be used as the sole basis for employment, investment, or business decisions. Signal volume and source diversity may limit representativeness.
The same month a rogue OpenAI agent hacked Hugging Face, Scalable Capital started letting agents like ChatGPT and Claude trade on its platform. The doors are opening faster than the locks are being built. 1/6
The same month a rogue OpenAI agent hacked Hugging Face, Scalable Capital started letting agents like ChatGPT and Claude trade on its platform.
Digital investment platform offering automated wealth management, a neobroker, and crypto services to European retail investors.
Based on 1 signal across 1 source · snapshot 25 Aug 2026
Moderate risk indicators present across data sources.
Limited — treat this score as early-stage; more data needed.
Overall community sentiment for Scalable Capital is negative based on public signals as of 25 Aug 2026.
Based on 1 signal across 1 source
Scores are directional signals derived from public data — not certified assessments or recommendations. Confidence indicates data coverage, not accuracy. Learn how scores are calculated →
Derived from public sources such as news, filings, and reported events.
AI summaries are generated from public signals and may not reflect the full picture.