The simulation layer behind every content decision.
Test videos, images, and text across 7 platform-specific network models and 100,000 audience profiles — whether you're planning a campaign, mid-launch, or answering a question in a meeting right now.
100,000 agents
7 platforms · running
Backed & Supported By
How it works
01 — YOUR CONTENT
Brand, competitors, and trends compete for attention
Upload videos, images, or text. Add competitor handles. North AI injects your content, competitor activity, and live trends as competing signals into the simulation. Each fights for the same finite audience attention.
02 — THE AUDIENCE
100K profiles react across 7 platform models
Consumer profiles, influencers, bots, and platform algorithms interact simultaneously. Each platform has its own network topology and feed logic: TikTok rewires every session, YouTube optimises for watch time, WhatsApp spreads through group cascades.
03 — THE OUTCOME
Distributions paths, not only point predictions
Every scenario runs 100+ paths. You get best, expected, and worst-case outcomes with confidence intervals. Ask in plain language or read the full breakdown in the dashboard.
Neuroscience Core
Neuroscience as ground truth.
Every agent in our simulation is calibrated against our proprietary neuroscience model — built from thousands of real cognitive and behavioural measurements. The simulation doesn't approximate how people respond to content. It replicates the underlying neural mechanisms that drive attention, engagement, and action.
Ask anything, at any stage
Use it from Claude, ChatGPT, or any AI tool your team already uses.
- Connects through MCP — no new workflow.
- Ask in plain language; the simulation runs behind the scenes.
- Answers land in the same thread as the rest of your work.
While planning
You
"Simulate a Go Viral scenario on Instagram — targeting US Gen-Z women, $5,000 budget, using Creative A."
North AI
Running 100 scenario paths…
Instagram peaks day 4. Budget lifts reach 3.2× in week 1. Organic sustains if early saves >8%.
Boost on day 1 and 5, not continuously.
Mid-strategy
You
"How does our audience hold attention compared to Competitor X on TikTok?"
North AI
Competitor X spikes harder in the first 12h but drops 2× faster than your baseline. Their audience chases trends — yours is more loyal.
You win on week-2 retention.
In a meeting
You
"We have 3 ebooks. Which one resonates best with 25–34 year olds on LinkedIn vs Reddit?"
North AI
Ebook 2 wins on sustained attention for that group.
LinkedIn: Ebook 1 gets more shares. Reddit: Ebook 3 matches the tone.
Different content for each platform.
After the campaign
You
"Creative B had lower initial engagement — but the simulation predicts it gets more total views. How?"
North AI
Creative A spiked early — paid spend drove it. Paid reach ramps fast but decays fast.
Creative B started slower but held attention across more audience segments, sustaining organic spread without extra budget.
Creative B wins past week 1. Creative A is the launch spike.
What the simulation tells you
Paid vs organic separation
Paid reach ramps fast, peaks high, and decays quickly. Organic spreads slower but sustains. The simulation models both independently so you see where budget ends and content takes over.
Engagement decay curves
Platform-specific damping: TikTok content decays in hours, YouTube sustains for weeks. See exactly when attention drops and which format holds longest per platform.
Audience breakdown
Who responds, by age, gender, and behaviour type. Passive scrollers, active sharers, and power users have different inertia and thresholds, calibrated from demographic data.
Competitor and bot dynamics
Competitor activity competes for the same finite attention. Synthetic engagement is modelled separately so you can distinguish real signal from inflated early metrics.
Cross-platform spread
Each platform has its own network model. Content spreads through algorithmic feeds on TikTok, subscriber networks on YouTube, and group cascades on WhatsApp. The simulation tracks all paths.
Range of outcomes
100+ Monte Carlo paths per scenario. You get best, expected, and worst-case confidence bands, not a single number. See the full distribution before committing budget.
The science underneath
Calibrated from how real people watch content.
The simulation doesn't guess how audiences behave. Its parameters are fitted from thousands of attention measurements collected from real viewers watching real content — capturing engagement, emotional response, cognitive load, and attention patterns across age, gender, and viewing behaviour. Those signals set the rules the 100,000 profiles follow.
Read the methodology →The Technology Behind Your Offering
Objective Neuroscience
AI models trained on neuroscience data predict how audiences respond: attention, engagement, and emotional response, frame by frame. Validate with real viewers when the stakes are high. No opinions, no bias. Just brain data.
Entertainment & Media DNA
Our team comes from Sony, NBC Universal, Warner Bros. We've worked with brands, studios, and agencies at every scale. We speak your language.
Backed by Leading Institutions
Backed by Innovate UK, the University of Manchester, and the Alan Turing Institute. Supported by AWS, NVIDIA, and BridgeAI. Investors include Praetura Ventures and SFC Capital. Patent filed.
Built for
Brands
Run your creative through 100K audience profiles before spending. See which format wins on which platform, and where paid budget stops working.
Agencies
Show clients confidence intervals, not gut calls. A/B test scenarios with statistical significance before the campaign goes live.
Product teams
Model how a launch announcement propagates across platforms. Predict which demographic segments amplify it and where it stalls.
Research
Access the simulation engine, calibration parameters, and raw Monte Carlo outputs via API. Export per-scenario data with prediction intervals.
What practitioners say
Trusted by the teams who ship creative every week.
The video insights generated from North AI are deep and will help us invest in the right ad creative most likely to perform. The fact it balances human insight and AI analysis gives me confidence the data is accurate.
Tom White
Asset Manager·Science‑inc
The insights from North AI have been really really impressive, and especially helpful when approaching commissioners. In today's world, companies need insights like these to support the decision making process.
Eline Van Der Velden
CEO·Particle6
We used to rely on gut feeling and post-launch metrics to judge our creative. North AI showed us what was working, and what wasn’t. The predictions matched our real-world results, which is something no survey panel has ever done for us.
James Morley
Head of Creative Strategy·Hawk Media
Test your next content decision in simulation.
30-minute demo. We'll run it live on your content.