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4SIGHTLY

Scenario-to-insight for UK policy and consumer behaviour

Would UK professionals aged 25–34 accept a four-day work week if salaries were reduced by 10% during a recession?

The problem

Where traditional polling breaks down

Why now

Speed of decision cycles

The speed of decision cycles has collapsed. What once unfolded over months now unfolds over days or hours. Waiting for formal research increasingly means responding too late.

Real-time sentiment

Sentiments are now priced instantly. Prediction markets, social signals, and media reaction move faster than traditional measurement. Narratives shift value before surveys are even fielded.

Fragmented narratives

Opinion fragments before it stabilises. Narratives do not move in broad waves. They form inside micro-communities, platform cultures, and private channels — beyond the scope of traditional surveys.

The politicians of the (near) future won't anxiously pester their pollsters for information… they'll just ask a chatbot what people think.

— Harvard Ash Center (2024)

Introducing 4SIGHTLY

Synthesising and interpreting the world's data to provide reliable, instant insight to anyone, anywhere, at any time.

Student activists Local councillors Startup founders Parents' groups Journalists Policy researchers Indie hackers Think tanks Campaign volunteers NGOs Union reps Product managers Creators & influencers Housing associations Independent candidates Data journalists Community leaders Brand strategists Economists Advocacy groups Local organisers Scaleups Foundations Students Policy analysts Residents' committees Public bodies Growth teams Voters Consumers

Ask any question, in any context

Explore ideas, messages, and hypotheticals — safely, privately, and instantly.

Which of these two logos feels more trustworthy to parents with children under 12 in suburban England?

[audience: parents] [children_age: under_12] [location: england] [topic: brand_trust]

Would UK professionals aged 25–34 accept a four-day work week if salaries were reduced by 10% during a recession?

[audience: professionals] [age: 25–34] [location: uk] [policy: four_day_week] [context: recession]

Would a £2 rise in the minimum wage be viewed more favourably in large cities than in post-industrial towns in the North?

[audience: workers] [location: uk_north] [topic: minimum_wage] [metric: favourability]

How would this housing message perform among renters aged 18–30 during a cost-of-living crisis compared with stable conditions?

[audience: renters] [age: 18–30] [topic: housing] [context: cost_of_living_vs_stable]

Would this immigration policy gain support among swing voters in marginal constituencies if framed around services rather than borders?

[audience: swing_voters] [location: marginal_constituencies] [topic: immigration] [framing: services_vs_borders]

How it works

From any question to decision-ready insight

1

Live data inputs

4SIGHTLY connects to a constellation of continuously updated datasets spanning geography, demographics, economic context and live sentiment — reflecting the world as it is now.

2

Audience synthesis

Proprietary models translate those signals into statistically grounded audiences that mirror real-world subgroups, enabling hyper-granular intersections traditional surveys can't enable.

3

Smart simulation

Questions are simulated against these audiences, weighted by thousands of variables, including prior behaviour, context and historical benchmarks — calibrated by real-life, human data.

4

Results

In seconds, users receive a live, explorable view of opinion: headline results, segment drill-downs, and automatic context on what's driving shifts — ready to share, act on, and re-query.

Super-granular by design

The semantic engine interprets your question and automatically selects the relevant audience parameters. Users can fine-tune, override, or lock parameters through the interface.

Geography — national, regional, local, urban/rural
Demographics — age, gender, income, education
Context — economic conditions, political climate
Timeframe — now, past moments, hypothetical futures
Psychographics — values, attitudes, priorities

The opportunity

Today's paradigm

Core polling & research market

Traditional surveys, panels and fieldwork.

$30–45bn

3–5% CAGR

Tomorrow — unlocked by 4SIGHTLY

Real-time opinion intelligence

Accessible to everyone at low marginal cost.

$300bn+

15–25% CAGR

Business model

Free usage

Freemium

For individuals, creators, students and the general public. Free, basic polling on synthetic audiences. Paid upgrades unlock larger audiences, advanced filters, and simulations. Virality is built in.

Pro tier

$20/month per user

For startups, NGOs, creators, educators. Fixed monthly subscriptions with unlimited polls, psychographic modelling, and custom contexts. Power tools for teams.

Enterprise

$200/month per group

For larger corporations, political campaigns, government departments. Advanced, proactive multivariable "what-if" modelling. Integrations with decision dashboards, CRMs, and advertising platforms.

API access

Custom / usage-based

For agencies, research firms and SaaS platforms. Polling embedded directly into operational workflows. Embedded foresight at scale.

Data licensing

Custom / usage-based

For consultancies, corporates, think tanks and financial institutions. Aggregated, anonymised trend data licensed as a strategic signal. A Bloomberg Terminal for public sentiment.

Team

Kabir Singh Bawa

Maximillian Garely

Martin Schmilly

Our competitive moat

Where AI and human validation combine for unrivalled granularity and speed

Proprietary models

AI simulations coupled with real-time human data validation — which cannot be replicated from purely synthetic models.

Workflow gravity

Deep integrations across CRM, ad platforms, and research tools create embedded workflows and retention effects.

Calibration IP

A proprietary calibration layer, benchmarked and back-tested against real outcomes.

Network effects

More usage generates richer ground truth, tightening models and compounding accuracy with every poll run.

Governance

Full auditability embedded across synthetic and real data, with transparent bias and accuracy reporting.

Roadmap and the ask

Thank you for your interest in 4SIGHTLY. We are raising $500,000 to cover 12 months of growth and make key strategic technical hires, including AI/ML engineers.

  1. Developing, sourcing and synthesising a mosaic of live, actionable data.
  2. Building and training a core 4SIGHTLY engine capable of simulating insights in real time.
  3. Rolling out a preliminary, working beta version of the platform.
Register interest Back to Quince