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Prophet

Also known as: Prophet AI, Prophet.ml

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Entry priceContact sales; Analyser, Intelligence and Enterprise plans, no public pricesFull pricing detail

Prophet builds a continuously updated model of a business from its marketing, commercial and external data and lets teams ask plain English questions, generate forecasts and simulate marketing and pricing decisions before spending.

Prophet is a marketing analytics and business simulation platform. It builds what it calls a digital clone of the business, a model fed by the customer's marketing, sales, finance and operational data through more than 140 integrations such as Meta Ads, Google Ads, DV360, LinkedIn and The Trade Desk, APIs or uploads, plus over 100,000 external economic, behavioral, environmental and competitive signals, refreshed as often as daily.

Teams use it to quantify what marketing, macroeconomic conditions, brand and baseline demand contribute to revenue and to simulate investment, pricing and commercial scenarios before money is spent. Prophet AI lets people ask questions in plain English, generate forecasts and explore scenarios against that model.

Plans run from Analyser through Intelligence to Enterprise, which adds SSO, IP whitelisting and custom modeling; the site shows an ISO Certified badge, onboarding takes six to eight weeks, and pricing comes through sales.

Vendor details

Canonical URL

https://www.prophet.ml

Category

Data analyst agent

Funding status

Based in Melbourne and Sydney, Australia; launched in 2024. Reports more than 30 enterprise clients across retail, insurance, automotive, media, on-demand delivery, wagering, and cybersecurity. CEO Jordan Taylor-Bartels; advisory board includes Phil Davis (former VP Global GTM at Google Cloud) and Professor Andrew Gelman of Columbia University. Specific funding figures were not retrieved this session.

Company status

independent

Use cases & customers

Primary use cases

marketing mix modeling and effectivenessbusiness scenario simulationdecision intelligence and forecastingpricing and spend optimizationconversational business analytics

Target customers

enterpriseretailinsurancemediamarketing and finance teams

Deployment options

SaaS

Integrations

Integrates data pipelines, media platforms, and the broader tech stack at scale via APIs, CSVs, and natural language, with typical onboarding of 6 to 8 weeks. Continuously ingests roughly 86,000 macroeconomic data points to contextualize performance.

In practice

Your CMO wants to know whether to move budget from Meta to TV before the holiday quarter. Ask Prophet AI in plain English and it simulates the shift against the business model before any money moves.

Sales dipped and nobody agrees whether marketing or the economy was to blame. Prophet breaks revenue into what came from marketing, macroeconomic conditions, brand and baseline demand.

A price change is on the table for next month. Prophet runs the pricing scenario against current market signals so the team can see the likely effect first.

Agentic Index coverage score

3.5 / 14 capabilities · 25%

Integrations & Tool Calling Partial

More than 140 integrations, Meta Ads, Google Ads, DV360, LinkedIn, Microsoft Ads and The Trade Desk among them with 134 more media connectors, connect marketing, sales, finance and operational systems to Prophet through APIs, cloud platforms or uploads to feed its model, and custom API connections can be requested on every plan. No action back in those systems is documented.

SourceProphet, prophet.ml, /platform and /pricingread 2026-10-06

Workflow Orchestration Partial

Plain English questions get answers from Prophet AI, which generates forecasts and explores scenarios against the business's model one question at a time, such as comparing options for a Christmas campaign. No multi step flow, branching or workflow the buyer composes is documented.

SourceProphet, prophet.ml/platform and prophet.mlread 2026-10-06

Knowledge Grounding & RAG Partial

Answers come from a digital clone of the business, a model built from the customer's media, commercial and organizational data plus more than 100,000 external economic, behavioral, environmental and competitive signals, from air quality and precipitation to sentiment and financial indices, refreshed continuously. Running that model returns a prediction rather than retrieving the customer's knowledge, and no maintained retrieval structure over that knowledge is documented.

SourceProphet, prophet.ml/platformread 2026-10-06

Human Oversight & Guardrails Partial

Teams use Prophet to test budgets, pricing, channels and commercial scenarios before money is spent, leaving the decision with the team, but no approval step or control over what the agent may do is documented.

SourceProphet, prophet.ml/platformread 2026-10-06

Security, Identity & Governance Partial

The Enterprise plan adds SSO and IP whitelisting, and the site footer shows an ISO Certified badge without naming the standard, so it cannot be confirmed as a security certification.

SourceProphet, prophet.ml/pricing and prophet.mlread 2026-10-06

Observability & Auditability Partial

Reporting shows the contribution of marketing, macroeconomic conditions, brand and baseline demand and reviews influenced revenue, and teams build dashboards around their own KPIs, which is analysis of the business. No record of the agent's own runs, steps or queries is documented.

SourceProphet, prophet.ml/pricing and /platformread 2026-10-06

Memory & State Persistence Not documented

The continuously updated digital clone is the business model the product runs rather than a memory the agent keeps, and no conversation memory or agent memory is described; historical analysis on Analyser covers a 90 day window.

SourceProphet, prophet.ml/platform and /pricingread 2026-10-06

Deployment & Data Residency Not documented

The platform is hosted and delivered after a six to eight week onboarding, which includes a four to six week process of data consolidation, modeling, development, validation and deployment, and no region, region choice, customer cloud or on premises option is described.

SourceProphet, prophet.ml/platform and /pricing; prophet.ml/pricingread 2026-10-06

Prebuilt Agents / Templates / Packs Not documented

Prophet's Analyser, Intelligence and Enterprise plans are tiers of one modeling product, with deeper model layers, faster refreshes, alpha and beta access and a dedicated marketing science team on Intelligence and a house of brands view on Enterprise, and RepositoryX is a data library. No packaged agents or templates are offered.

SourceProphet, prophet.ml/pricingread 2026-10-06

Triggers & Channel Coverage Partial

The model refreshes live and daily on the Intelligence plan and monthly on Analyser, and Prophet AI answers when a user asks; no alert, schedule or event that starts the agent on its own is documented.

SourceProphet, prophet.ml/pricing and /platformread 2026-10-06

Model Flexibility & Routing Not documented

Prophet runs its own modeling, three model layers deep on Intelligence and four on Enterprise, and names no language model provider or customer model choice for Prophet AI.

SourceProphet, prophet.ml/platform and /pricingread 2026-10-06

APIs / SDKs / MCP Extensibility Not documented

The APIs Prophet names bring the customer's data in, with custom API connection requests on every plan, and no API, SDK or MCP server for driving Prophet itself is documented.

SourceProphet, prophet.ml/pricing and /platformread 2026-10-06

Testing, Debugging & Optimization Not documented

No way to test or score Prophet AI's answers is documented; testing commercial decisions against simulated conditions is the product's analysis of the business rather than an evaluation of the agent. BYD's case study credits marketing with directly influencing about 37% of its test drives.

SourceProphet, prophet.ml/platform and /case-studiesread 2026-10-06

Browser / Computer-use Not documented

Prophet models data fed through integrations and uploads, and no browser, desktop or computer control is described.

SourceProphet, prophet.ml/platformread 2026-10-06

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact sales; Analyser, Intelligence and Enterprise plans, no public prices

What is public

Plan names and inclusions; no prices.

Cost watchouts

Onboarding involves data integration and model calibration over several weeks. Cost is scoped per enterprise deployment and data scale rather than a public rate.

Variable cost rationale

Enterprise platform scoped by data scale and deployment; no public rate card, so exposure is moderate and not precisely determinable.

Sales call required

Yes, required for paid access

Free / trial

No public free tier; enterprise engagement

Lowest paid plan

Not public

Key ambiguities

No figures or billing basis are published for any plan.

Agentic Index verified 2026-09-28

Alternatives to Prophet

The closest documented capability profiles to Prophet among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Flaunt3.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing
  • PangeAI1.0 / 14A lighter documented profile than Prophet
  • Athenic AI6.5 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Brewit6.5 / 14Adds documented Memory & State Persistence and APIs, SDKs & MCP Extensibility, among others
  • Pluvo6.5 / 14Adds documented Deployment & Data Residency and Prebuilt Agents, Templates & Packs, among othersProphet vs Pluvo →
  • ScienceMachine6.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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