We built the intelligence
marketing deserves.

Signal & Scale was founded on one conviction: geography is the most underused variable in digital marketing — and AI is what finally unlocks it.

// The Origin

Born from a
broken brief.

In 2029, our founders were running paid media for a major APAC retail chain. Despite world-class creative, precision targeting tools, and unlimited budget — campaigns were underperforming in 60% of locations. The data looked fine. The problem was invisible.

The campaigns were optimised for the average customer. But in a world of micro-segmented geographies, there is no average customer. There's only this person, in this place, in this moment.

They spent 18 months building GeoMind — a spatial AI that fuses satellite data, mobility signals, local sentiment, and real-time weather to understand not just who your audience is, but where they are and how they're behaving right now.

The story behind Signal & Scale

"The problem wasn't the data. The problem was that nobody was asking where."

— Mia Tāhuri, Co-founder & CEO · 2031
// Real Market Problems

The 8 problems
we actually
solve.

Every service we offer exists because one of these problems was costing our clients real revenue.

Wasted ad spend on wrong locations
Businesses run the same campaign everywhere and wonder why it works in one city but fails in another. Geographic intelligence was missing from every major ad platform.
// $250B wasted globally in mis-targeted ads each year
No prediction — only reaction
Every marketing tool shows you what happened yesterday. Nobody was predicting what will happen tomorrow and pre-positioning campaigns to capitalise on it.
// 72% of campaign decisions are made on stale data
Generic AI search replacing websites
AI assistants now answer questions directly — skipping websites entirely. Brands that don't appear in AI answers are invisible to an entire generation of buyers.
// 55% of searches now bypass traditional search results
One website for every type of person
Every visitor to a website sees identical content — regardless of who they are, where they're from, or what they want. This is the single biggest conversion killer in digital marketing.
// Average website converts only 2.3% of visitors
Content cost vs content volume mismatch
Brands need thousands of pieces of content across every market, platform, and language. Human teams cannot produce this volume at the quality required without massive cost.
// Content costs have risen 340% since 2020
Digital experiences that never improve
Most websites are built once and forgotten. They don't learn, adapt, or improve automatically. Every hour they're live, they're losing conversions to friction nobody has fixed.
// 68% of checkout abandonments are caused by fixable friction
Ad fraud destroying client budgets
22% of all digital ad spend globally is consumed by bots, click farms, and fraudulent traffic. Most businesses have no visibility into this loss and no protection against it.
// $84B lost to ad fraud globally in 2034
No single platform connecting it all
Businesses use 12–20 disconnected tools for marketing. Data doesn't flow between them. Decisions are made in silos. The result is fragmented strategy and fragmented results.
// Average enterprise uses 91 marketing tools simultaneously
OUR JOURNEY

Four Years of Growth

From a broken brief to the world's most spatially-aware marketing AI — built step by step across four years and 47 active markets.

2029
1 The Insight
Founders identify the geo-intelligence gap while managing APAC campaigns. 18 months of R&D begins on what will become GeoMind LLM.
2031
2 Signal & Scale Founded
Incorporated in Auckland with a 12-person team. Launched in AU, NZ, SG, UK. First 3 clients onboarded in week one.
2032
3 GeoMind v1 Released
First public release of our spatial AI engine. 12 markets active. Series A at $28M. Team grows to 80 people across 6 countries.
2033
4 Expansion & Recognition
28 markets active. Named Most Innovative Marketing Platform by Adweek. GeoMind v2 launches with satellite data integration.
2034
5 $4.2B Revenue Milestone
Crossed $4.2B in attributed client revenue. 40 markets. Series B at $180M. Synthetic Content and Adaptive Experience launched.
2035
6 GeoMind v4 — Today
340B parameter model. 47 active markets. 2,300+ campaigns live. Edge personalisation under 50ms. The most spatially-aware AI ever built.
2029
1 The Insight
Founders identify the geo-intelligence gap while managing APAC campaigns. 18 months of R&D begins on what will become GeoMind LLM.
2031
2 Signal & Scale Founded
Incorporated in Auckland with a 12-person team. Launched in AU, NZ, SG, UK. First 3 clients onboarded in week one.
2032
3 GeoMind v1 Released
First public release of our spatial AI engine. Series A at $28M. Team grows to 80 people across 6 countries.
2033
4 Expansion & Recognition
28 markets active. Named Most Innovative Marketing Platform by Adweek. GeoMind v2 launches with satellite data integration.
2034
5 $4.2B Revenue Milestone
Crossed $4.2B in attributed client revenue. 40 markets. Series B at $180M.
2035
6 GeoMind v4 — Today
340B parameter model. 47 active markets. 2,300+ campaigns live. Edge personalisation under 50ms.
How we operate

Six principles. No exceptions.

Location is truth

Geography is the most honest signal in marketing. Where someone is right now tells us more than any demographic model ever could.

Intelligence over intuition

We don't guess. Every decision our platform makes is backed by data from 4.2 trillion signals processed daily.

Speed is strategy

The gap between signal and action is where revenue is lost. We built our entire stack to collapse that gap to milliseconds.

Global mind, local soul

Our AI understands local culture, language, and behaviour. Global infrastructure doesn't mean homogenised campaigns.

Outcomes over activity

We're not here to run impressions. We're here to drive revenue. Everything is measured against that single standard.

Transparency by default

You always know what our AI is doing and why. No black boxes. Every signal, every decision — fully visible in your dashboard.

Ready to deploy
revenue intelligence?

Most clients are live within 48 hours. No long onboarding. No technical lift.