Company profileparabole.ai ↗

Parabole.Ai

Parabole.ai offers a no-code analytics platform designed to understand business contexts.

Software Development
Headquarters
Princeton, New Jersey, United StatesSource: RevenueBaseRetrieved October 13, 2026
Employee range
11 to 50Source: RevenueBaseRetrieved October 13, 2026
Founded
2014Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
6 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Parabole.Ai do?

TRAIN autonomously builds causal models using first principles and enterprise-specific knowledge. The platform converts narratives from subject matter experts, from executive planners to frontline workers, into actionable intelligence.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

What the business offers

Services & capabilities.

Expert narrative analysis

TRAIN integrates gathered knowledge with KPIs to identify causal relationships.

Source: LinkedIn company description · Retrieved October 13, 2026

Decision analytics

The platform supports decision-making for supply chain optimization, risk management, and ESG strategy.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

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Embeddable award for your website

BADGE PREVIEWParabole.Ai listed #3 on Causal AI companies, September 30, 2026Open the published source list.
Parabole.Ai

#3 Causal AI companies

Snapshot: September 30, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 3, 2026. Directory positions use company-contact counts from separate saved list snapshots dated September 20, 2026, September 26, 2026, September 28, 2026 and September 30, 2026. How the company lists are built.

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