Controlled beta · invitation only

Growth automation that proves what it did.

FUTUREGROW turns first-party data, market evidence and experiments into growth decisions. Models propose; deterministic code checks evidence, policy, budgets and approvals, executes through official APIs, and independently verifies every result before anything is counted as done.

Operating principles

Evidence first. Every fact carries its source, licence, freshness and permitted uses. Untrusted or stale evidence cannot drive automation.

Bounded autonomy. A deny-by-default action allowlist, per-category autonomy policy, spend ceilings and two-person approvals for anything consequential.

Verified execution. No action is "successful" because an API returned 200. It is VERIFIED by an independent read-back, or it fails, rolls back or escalates.

Consent and disclosure. Consent and suppression are checked immediately before every message; synthetic personas and paid partnerships are always disclosed.

Measured, not assumed. Forecasts ship with backtests and intervals, media mix with convergence diagnostics, experiments with logged assignment and SRM checks.

Stop anything. Kill switches at tenant, connector, object, model and agent scope, checked again right before every provider call.

All 24 modules

Foundation

M01

Evidence & Source Registry

Rights-aware, time-aware, versioned evidence gate for every fact.

M02

Data Fabric & Customer 360

Consent-aware customer state, identity resolution, DSAR.

M03

Brand & Product Knowledge Graph

Factual ground truth, claim registry, brand rules, retrieval.

Intelligence

M04

Market & Trend Intelligence

Trend objects with baselines, change points and evidence.

M05

Competitor War Room

Evidence-backed competitive map from lawful sources only.

M06

Idea Lab & Opportunity Miner

Testable, ranked growth hypotheses with kill criteria.

M07

Predictive AI Growth Brain

Typed, auditable next-best-action decisions; no direct writes.

M08

Forecasting & Scenario Engine

Probabilistic KPI forecasts with backtests and calibration.

M09

Causal Measurement & MMM

Bayesian media-mix and incrementality estimates with diagnostics.

M10

Experimentation & Bayesian Bandits

Controlled learning with logged assignment/exposure and guardrails.

M11

Audience & Propensity Engine

Lawful, explainable segments and calibrated propensity scores.

Creation

M12

Offer, Pricing & Conversion Optimizer

Guardrailed offers, pricing tests and CRO hypotheses.

M13

Creative Intelligence & Brief Generator

Evidence-mapped creative briefs and experiment matrices.

M14

Generative UGC & Asset Studio

Reproducible, rights-manifested asset rendering and QA.

M15

Synthetic Creator & Influencer Studio

Disclosed virtual brand characters with likeness controls.

Channels

M16

Organic Social & Community Engine

Authorized publishing and genuine community interaction.

M17

Paid Media Autopilot

Budget/bid/status changes inside explicit spend envelopes.

M18

SEO, ASO & AI Discovery

Technical/content/store-metadata improvements without rank promises.

M19

App Growth & Attribution

Install-to-revenue journeys with labelled attribution methods.

M20

Lifecycle CRM & Messaging

Consented journeys with suppression checked immediately before send.

M21

Conversational Sales & Support

Cited answers, qualification and human handoff with AI disclosure.

M22

Creator, Affiliate & Referral Operations

Real partners, contracts, disclosures and commission ledger.

Control

M23

Agentic Orchestrator & Execution Gateway

Only component allowed to invoke consequential write tools.

M24

Execution Verification, Governance & Growth Control Plane

Independent proof, audit, kill switches, registries, cost.