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.

Sign inSee the seven stagesHow it stays safe

Seven stages, in order

Each stage builds on the one before it. The control plane tracks your progress from live data and ranks your organization from Seed to Evergreen.

  1. 1
    Secure your workspace

    Two-factor sign-in and a second person, so every consequential action gets a real review.

  2. 2
    Set the guardrails

    Decide what may run on its own, within which limits, and what always needs a human.

  3. 3
    Connect your channels

    Link the accounts FUTUREGROW reads from and acts on, and prove the credentials work.

  4. 4
    Build your ground truth

    Evidence, approved claims and consented customer data that every later step relies on.

  5. 5
    Discover opportunities

    Watch the market, measure what matters and turn evidence into ranked ideas and decisions.

  6. 6
    Create & test

    Produce rights-cleared creative and test it properly before scaling anything.

  7. 7
    Launch & verify

    Publish through the channels, approve the exact action, and count it only once it is verified.

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.