Decision AI Trained on Reality. Zero‑Party Data.
Real Humans. Real Decisions.
Unlock Revenue Faster with Consumer-Trained AI
Decision AI Trained on Reality. Zero‑Party Data.
Real Humans. Real Decisions.
Decision AI continuously trained on millions of real consumers across 195 countries. Ask questions. Get answers. Execute faster.
Decision AI continuously trained on millions of real consumers across 195 countries. Ask questions. Get answers. Execute faster.
Decision AI continuously trained on millions of real consumers across 195 countries. Ask questions. Get answers. Execute faster.
Most companies drown in data but starve for decisions.
Most companies drown in data but starve for decisions.
Most companies drown in data but starve for decisions.
Decision AI trained on real consumer activities
Decision AI trained on real consumer activities
Decision AI trained on real consumer activities
Zero-party data from voluntary consumer activities - full consent, no panels, no cookies
Zero-party data from voluntary consumer activities - full consent, no panels, no cookies
Zero-party data from voluntary consumer activities - full consent, no panels, no cookies
Ground truth - real activities, real decisions, real outcomes
Ground truth - real activities, real decisions, real outcomes
Ground truth - real activities, real decisions, real outcomes
We tell you what's happening, what it means, what to do - then help you execute it.
We tell you what's happening, what it means, what to do - then help you execute it.
We tell you what's happening, what it means, what to do - then help you execute it.
Trusted by
You are in good company:
You are in good company:
You Don't Have a Data Problem. You Have a Decision Problem.
Every Fortune 500 drowns in data.
But when the VP asks "how do we capture share in Hong Kong?" - silence.
Because data doesn't make decisions. People do.
People need:
Context
What's happening vs. noise
Context
What's happening vs. noise
Context
What's happening vs. noise
Meaning
What it means for MY business
Meaning
What it means for MY business
Meaning
What it means for MY business
Guidance
What I should do
Guidance
What I should do
Guidance
What I should do
Execution
How to actually do it
Execution
How to actually do it
Execution
How to actually do it
The Cost of Bad Decisions:
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
RadioShack
100-year empire dead. Zero intelligence on where DIY community actually shops.
Borders Books
650 stores gone. Had insights showing people browse in-store, buy on Amazon. Did nothing.
Bed Bath & Beyond
$12B revenue vanished. Missed that 73% of customers started shopping online first.
Toys "R" Us
World's LARGEST toy retailer dead. Never tracked that kids stopped wanting physical toys.
BlackBerry
From 50% smartphone market to 0%. Ignored consumer signals screaming for touchscreens - "professionals want keyboards!"
Blockbuster
Rejected Netflix for $50M. Never tracked that customers HATED late fees. Netflix now worth $240B.
Kodak
Invented digital camera, killed it to protect film. Had consumer data showing everyone wanted digital. Bankruptcy.
The 3 Layers of Intelligence
The 3 Layers of Intelligence
One Platform. Three Layers. Complete Clarity.
From raw data to executable decisions - all in one workspace.
From raw data to actionable decisions
What To Do Sena generates recommendations and simulates outcomes
What To Do Sena generates recommendations and simulates outcomes
Ask questions in plain English
Ask questions in plain English
Get role-specific action plans
Get role-specific action plans
Simulate outcomes before executing
Simulate outcomes before executing
You
You
What do I need to do to expand my business in Nigeria?
What do I need to do to expand my business in Nigeria?
Sena
Sena
Launching a $375K influencer-led digital marketing campaign targeting the 18–25 age group can boost brand visibility and drive market penetration in Nigeria by an estimated 6% over the next quarter.
Launching a $375K influencer-led digital marketing campaign targeting the 18–25 age group can boost brand visibility and drive market penetration in Nigeria by an estimated 6% over the next quarter.
Ask Sena about your data
What It Means AI-powered analysis and pattern recognition
What It Means AI-powered analysis and pattern recognition
Sentiment drivers and friction points
Sentiment drivers and friction points
Competitive positioning analysis
Competitive positioning analysis
Market opportunity identification
Market opportunity identification
What's Happening Real-time consumer activity intelligence
What's Happening Real-time consumer activity intelligence
Consumer activity patterns across markets
Consumer activity patterns across markets
Demographic shifts and segment movements
Demographic shifts and segment movements
Real-time tracking with geographic precision
Real-time tracking with geographic precision
Four Questions.
Four Questions.
One System.
One System.
Zero Guesswork.
Zero Guesswork.
What's Happening
in the Market?
What's Happening
in the Market?
What's Happening
in the Market?
Real-time consumer activities across 195 countries
Zero-party data - voluntary actions, preferences, frustrations
?
What Does It Mean
for My Business?
What Does It Mean
for My Business?
What Does It Mean
for My Business?
AI trained to distinguish signal from noise
One unified view - consumer activities + competitive intelligence
Role-specific views for Sales, Marketing, Product, Strategy
?
What Should I Do About It?
What Should I Do About It?
What Should I Do About It?
Sena generates recommendations based on your role, goals, budget
Simulated outcome
Prioritized action plans with expected ROI
?
How Do I Execute It?
How Do I Execute It?
Sena Copilot + Agent Marketplace (coming 2026)
Automated workflows from insight → action
Real-time monitoring and adjustment
Timeline: Traditional research & consulting: 6-8 months → Static report
Rwazi: 2-5 days → Real time, live dashboard with AI recommendations
?
Decision AI Trained
Decision AI Trained
on Ground Truth.
on Ground Truth.
What Everyone
Else Does
What Everyone Else Does
RAG systems – chatbots spitting on old dashboards and static datasets
RAG systems – chatbots spitting on old dashboards and static datasets
Statistical models trained on other models
Statistical models trained on other models
Cookie‑based tracking (that's dying anyway)
Cookie‑based tracking (that's dying anyway)
VS
VS
Why Rwazi Wins
Trained on Voluntary Consumer Activities: Millions of consumers voluntarily sharing real activities with full consent – no panels, no tracking, no synthetic models
Deep Activity Signals: Brand switching, purchase triggers, value perception, loyalty patterns – thousands of dimensions per consumer
Multi‑Layer Validation: Consumer activities cross‑validated across multiple data sources for accuracy
Trained to Recommend Actions: Here's what to do next based on 100 similar scenarios
Why Rwazi Wins
Trained on Voluntary Consumer Activities: Millions of consumers voluntarily sharing real activities with full consent – no panels, no tracking, no synthetic models
Deep Activity Signals: Brand switching, purchase triggers, value perception, loyalty patterns – thousands of dimensions per consumer
Multi‑Layer Validation: Consumer activities cross‑validated across multiple data sources for accuracy
Trained to Recommend Actions: Here's what to do next based on 100 similar scenarios
Why Rwazi Wins
Trained on Voluntary Consumer Activities: Millions of consumers voluntarily sharing real activities with full consent – no panels, no tracking, no synthetic models
Deep Activity Signals: Brand switching, purchase triggers, value perception, loyalty patterns – thousands of dimensions per consumer
Multi‑Layer Validation: Consumer activities cross‑validated across multiple data sources for accuracy
Trained to Recommend Actions: Here's what to do next based on 100 similar scenarios
Rwazi's Decision AI learns from reality first. Then tells you how to win.
You Ask a Question.
You Ask a Question.
Sena Tells You What to Do.
Sena Tells You
What to Do.
Step 1: Tell Us Your Goal
Step 1: Tell Us Your Goal
Capture share? Launch product? Enter new market?
Step 2: We Deploy Intelligence
Step 2: We Deploy Intelligence
→ Decision AI trained on millions of consumer activities
→ Multi-layer validation (automated + human + expert)
→ Zero-party data streaming to your workspace
Step 3: Sena Tells You What to Do
Step 3: Sena Tells You What to Do
→ Ask in plain English: "Should we enter the Hong Kong market?"
→ Get role-specific answers with risk assessment
→ Simulate outcomes: "What if I increase ad spend 20%?"
Step 4: Execute & Track Live
Step 4: Execute & Track Live
→ Real-time monitoring
→ Automated alerts
→ Continuous learning
Rwazi's Decision AI learns from reality first. Then tells you how to win.
Your AI Copilot for Certainty.
Your AI Copilot for Certainty.
Sena Copilot (Available Now):
Marketing Manager asks
Our competitor just dropped prices 20% in Texas. What should we do?"
Sena
Don't match the price. Here's why:
Only 12% of your Texas consumers are price-sensitive
Your brand equity allows 15% premium
Instead: Launch loyalty program for top 30% customers
Projected outcome: Retain 94% share, protect margins
Confidence: 87%
Want me to simulate a loyalty program scenario?
Ask Sena about your data
Marketing Manager asks
Our competitor just dropped prices 20% in Texas. What should we do?"
Sena
Don't match the price. Here's why:
Only 12% of your Texas consumers are price-sensitive
Your brand equity allows 15% premium
Instead: Launch loyalty program for top 30% customers
Projected outcome: Retain 94% share, protect margins
Confidence: 87%
Want me to simulate a loyalty program scenario?
Ask Sena about your data
Marketing Manager asks
Our competitor just dropped prices 20% in Texas. What should we do?"
Sena
Don't match the price. Here's why:
Only 12% of your Texas consumers are price-sensitive
Your brand equity allows 15% premium
Instead: Launch loyalty program for top 30% customers
Projected outcome: Retain 94% share, protect margins
Confidence: 87%
Want me to simulate a loyalty program scenario?
Ask Sena about your data
Marketing Manager asks
Our competitor just dropped prices 20% in Texas. What should we do?"
Sena
Don't match the price. Here's why:
Only 12% of your Texas consumers are price-sensitive
Your brand equity allows 15% premium
Instead: Launch loyalty program for top 30% customers
Projected outcome: Retain 94% share, protect margins
Confidence: 87%
Want me to simulate a loyalty program scenario?
Ask Sena about your data
Product Director asks:
Should we launch plant-based variant in Germany?
Sena
No. Launch in Netherlands first:
3x higher plant-based penetration (31% vs 9%)
Your brand over-indexes 2.4x with early adopters there
Test for 6 months, then scale to Germany
Projected IRR: 47% (Netherlands first) vs 11% (Germany first)
Confidence: 92%
See the full market simulation?
Ask Sena about your data
Product Director asks:
Should we launch plant-based variant in Germany?
Sena
No. Launch in Netherlands first:
3x higher plant-based penetration (31% vs 9%)
Your brand over-indexes 2.4x with early adopters there
Test for 6 months, then scale to Germany
Projected IRR: 47% (Netherlands first) vs 11% (Germany first)
Confidence: 92%
See the full market simulation?
Ask Sena about your data
Product Director asks:
Should we launch plant-based variant in Germany?
Sena
No. Launch in Netherlands first:
3x higher plant-based penetration (31% vs 9%)
Your brand over-indexes 2.4x with early adopters there
Test for 6 months, then scale to Germany
Projected IRR: 47% (Netherlands first) vs 11% (Germany first)
Confidence: 92%
See the full market simulation?
Ask Sena about your data
Product Director asks:
Should we launch plant-based variant in Germany?
Sena
No. Launch in Netherlands first:
3x higher plant-based penetration (31% vs 9%)
Your brand over-indexes 2.4x with early adopters there
Test for 6 months, then scale to Germany
Projected IRR: 47% (Netherlands first) vs 11% (Germany first)
Confidence: 92%
See the full market simulation?
Ask Sena about your data
Sena Agent Marketplace (Coming Q1 2026):
Hire specialized AI agents trained on real consumer behavior:
Market Entry Analyst
Market Entry Analyst
Market Entry Analyst
Market Entry Analyst
Competitive Intelligence Agent
Competitive Intelligence Agent
Competitive Intelligence Agent
Competitive Intelligence Agent
Pricing Strategist
Pricing Strategist
Pricing Strategist
Pricing Strategist
Campaign Optimizer
Campaign Optimizer
Campaign Optimizer
Campaign Optimizer
Turn Consumer
Intelligence Into Money
Turn Consumer
Intelligence Into Money
Capture, Retain & Grow Market Share
Problem: Competitor launched aggressive promo - how do you respond without destroying margins?
Rwazi Solution: Real-time sentiment tracking + price sensitivity analysis + switching patterns
Impact: Identify at-risk segments before you lose share, respond with surgical precision
Reduce Customer Acquisition Cost
Problem: CAC climbing, conversion dropping, attribution broken
Rwazi Solution: Identify highest-value segments + purchase triggers + messaging that converts
Impact: Target people who actually buy = lower CAC, faster conversions, better LTV
Increase Customer Lifetime Value
Problem: Acquire customers but they churn fast
Rwazi Solution: Loyalty drivers + churn prediction + retention playbooks based on real activities
Impact: Keep best customers coming back, grow LTV 25-40%
Problem: Acquire customers but they churn fast
Rwazi Solution: Loyalty drivers + churn prediction + retention playbooks based on real activities
Impact: Keep best customers coming back, grow LTV 25-40%
Problem: Acquire customers but they churn fast
Rwazi Solution: Loyalty drivers + churn prediction + retention playbooks based on real activities
Impact: Keep best customers coming back, grow LTV 25-40%
Problem: Acquire customers but they churn fast
Rwazi Solution: Loyalty drivers + churn prediction + retention playbooks based on real activities
Impact: Keep best customers coming back, grow LTV 25-40%
Market Expansion & Penetration
Problem: Considering São Paulo or Bangkok but don't know if demand exists
Rwazi Solution: Consumer demand signals + market density + competitive presence analysis
Real Client Example: $48M revenue opportunity identified across 3 priority markets
Product Launch & Innovation
Problem: New SKU - will consumers actually buy it?
Rwazi Solution: Pre-launch demand testing + flavor preferences + price elasticity
Market Context: Brands using pre-testing see 35% higher launch success rates
Deep Consumer Intelligence.
Deep Consumer Intelligence.
Not 3-Question Surveys
Not 3-Question Surveys
Traditional Firms
Brand awareness (yes/no), Purchase intent (1-5), Maybe NPS
Brand awareness (yes/no), Purchase intent (1-5), Maybe NPS
VS
VS
Rwazi
Brand Dynamics - Top brand, switching patterns, loyalty
Purchase Patterns - Visit rate, spend, value perception
Competitive Intel - Last brand dropped, drop reason, next drop intent
Pain Points - Top frustrations, tolerance thresholds
Growth Signals - What makes them spend more, switch from competitors
Rwazi
Brand Dynamics - Top brand, switching patterns, loyalty
Purchase Patterns - Visit rate, spend, value perception
Competitive Intel - Last brand dropped, drop reason, next drop intent
Pain Points - Top frustrations, tolerance thresholds
Growth Signals - What makes them spend more, switch from competitors
Rwazi
Brand Dynamics - Top brand, switching patterns, loyalty
Purchase Patterns - Visit rate, spend, value perception
Competitive Intel - Last brand dropped, drop reason, next drop intent
Pain Points - Top frustrations, tolerance thresholds
Growth Signals - What makes them spend more, switch from competitors
Real Example: 68% link energy drinks with active lifestyle; 30% say price is too high. Now you know the perception gap—and how to close it.
Enterprise-Grade Data.
Enterprise-Grade Data.
Audit-Ready from Day One.
Audit-Ready from Day One.
Built for decision-makers who need answers, not dashboards
Built for decision-makers who need answers, not dashboards
Why Our Data Wins
Why Our Data Wins
Multi-Tier Validation
Automated + human + expert review
Multi-Tier Validation
Automated + human + expert review
Multi-Tier Validation
Automated + human + expert review
Multi-Tier Validation
Automated + human + expert review
Traceable Provenance
Every data point has verified source
Traceable Provenance
Every data point has verified source
Traceable Provenance
Every data point has verified source
Traceable Provenance
Every data point has verified source
Real-Time Outlier Detection
Bad data removed automatically
Real-Time Outlier Detection
Bad data removed automatically
Real-Time Outlier Detection
Bad data removed automatically
Real-Time Outlier Detection
Bad data removed automatically
Cross-Validation
Consumer activities validated across multiple sources
Cross-Validation
Consumer activities validated across multiple sources
Cross-Validation
Consumer activities validated across multiple sources
Cross-Validation
Consumer activities validated across multiple sources
Compliance:
Compliance:
GDPR Compliant
GDPR Compliant
GDPR Compliant
SOC 2 Type II (in progress)
SOC 2 Type II (in progress)
SOC 2 Type II (in progress)
Built for regulated industries (tobacco, pharma, financial services)
Built for regulated industries (tobacco, pharma, financial services)
Built for regulated industries (tobacco, pharma, financial services)
Built for Regulated Industries: We work with Fortune 500 brands in tobacco, alcohol, pharma, financial services - industries where compliance isn't optional.
Pricing That Scales
Pricing That Scales
With Your Ambition.
With Your Ambition.
No 6-week sales cycles. No mystery quotes.
Transparent pricing based on scope and impact.
Market Scope
Single‑market study → global monitoring
Market Scope
Single‑market study → global monitoring
Market Scope
Single‑market study → global monitoring
Market Scope
Single‑market study → global monitoring
Data Depth
Consumer signals only → full market intelligence
Data Depth
Consumer signals only → full market intelligence
Data Depth
Consumer signals only → full market intelligence
Data Depth
Consumer signals only → full market intelligence
Engagement Model
One‑time project → continuous real‑time platform
Engagement Model
One‑time project → continuous real‑time platform
Engagement Model
One‑time project → continuous real‑time platform
Engagement Model
One‑time project → continuous real‑time platform
What's Included in Every Plan:
What's Included in Every Plan:
Multi-tier data validation
Multi-tier data validation
Multi-tier data validation
GDPR compliance
GDPR compliance
GDPR compliance
Zero-party consumer data
Zero-party consumer data
Zero-party consumer data
Sena Copilot access (queries limited by tier)
Sena Copilot access (queries limited by tier)
Sena Copilot access (queries limited by tier)
Export capabilities
Export capabilities
Export capabilities
Email support
Email support
Email support
Onboarding & training
Onboarding & training
Onboarding & training
Trust Line: "Most clients see ROI within first quarter. Average revenue impact: $2-5M in year one
Built for Decision
Makers Who Move Fast
Built for Decision
Makers Who Move Fast
Starter
Rwazi SENA
Traditional Analytics
Generic AI (ChatGPT
Consulting Firms
Feature
Answers "What should I do?"
Answers "What should I do?"
Answers "What should I do?"
Role-specific actions
Just data visualization
Generic suggestions
After 3 months
Uses YOUR proprietary data
Uses YOUR proprietary data
Uses YOUR proprietary data
Zero-party + your systems
Limited integration
Can't access it
Manual analysis
What-if Scenario Testing
What-if Scenario Testing
What-if Scenario Testing
195 countries
Static reports
Hallucinates outcomes
More PowerPoints
Time to Decision
Time to Decision
Time to Decision
Audio, video, image, GPS, sensor
6-8 weeks
Hallucinates outcomes
12+ weeks
Enterprise Security
Enterprise Security
Enterprise Security
Transparent tiers
Varies
Data leak risk
Yes
Hallucination Control
Hallucination Control
Hallucination Control
Multi-tier validation
Confident BS
Decision Confidence Score
Decision Confidence Score
Decision Confidence Score
GDPR, SOC 2 in progress
No
Always 100% sure
Depends on partner
Updates with New Data
Updates with New Data
Updates with New Data
GDPR, SOC 2 in progress
New project
Static training
Static training
Answers "What should I do?"
Uses YOUR proprietary data
What-if Scenario Testing
Time to Decision
Enterprise Security
Hallucination Control
Decision Confidence Score
Updates with New Data
Rwazi SENA
Tradicional Analytics
Generic AI (Chat GPT)
Consulting Firms
Answers "What should I do?"
Uses YOUR proprietary data
What-if Scenario Testing
Time to Decision
Enterprise Security
Hallucination Control
Decision Confidence Score
Updates with New Data
Rwazi SENA
Tradicional Analytics
Generic AI (Chat GPT)
Consulting Firms
Scale teaches AI to think. Rwazi teaches AI to exist.
*SOC2 Type II certification in progress (Q3 2026)
*SOC2 Type II certification in progress
(Q3 2026)
Certainty Isn't About Knowing
It's About Deciding
Certainty Isn't About Knowing
It's About Deciding
What Kills Companies: Guessing. Waiting. Hoping your gut is right.
The Enemy: Guesswork. Complacency. Slow adjustments.
What Decision-Makers Tell Us: "Decisions are career-defining. Rwazi gives me certainty-backed by ground truth. I make the call. I look smart. I win.
That's not a nice-to-have. That's survival.
Stop Guessing.
Start Deciding.
Decision AI trained on ground truth. Trained on millions of real consumers.
195 countries. Zero-party data. Certainty in days, not months
Trained on millions of consumers providing
zero-party activity data
195 countries with deep local intelligence
Thousands of verified data points
per consumer (not 3-question surveys)
Decision AI trained on ground truth (not models, not panels)
Sena Copilot + Agent Marketplace
2-5 day turnaround (not 6-8 weeks)
GDPR compliant, SOC 2 in progress
Trusted by Fortune 500 brands that can't afford to guess
Stop Guessing.
Start Deciding
Decision AI trained on ground truth. Trained on millions of real consumers.
195 countries. Zero-party data. Certainty in days, not months
Trained on millions of consumers providing zero-party activity data
195 countries with deep local intelligence
Thousands of verified data points
per consumer (not 3-question surveys)
Decision AI trained on ground truth (not models, not panels)
Sena Copilot + Agent Marketplace
2-5 day turnaround (not 6-8 weeks)
GDPR compliant, SOC 2 in progress
Trusted by Fortune 500 brands that can't afford to guess
Stop Guessing.
Start Deciding.
Decision AI trained on ground truth. Trained on millions of real consumers.
195 countries. Zero-party data. Certainty in days, not months
Trained on millions of consumers providing
zero-party activity data
195 countries with deep local intelligence
Thousands of verified data points
per consumer (not 3-question surveys)
Decision AI trained on ground truth (not models, not panels)
Sena Copilot + Agent Marketplace
2-5 day turnaround (not 6-8 weeks)
GDPR compliant, SOC 2 in progress
Trusted by Fortune 500 brands that can't afford to guess
Stop Guessing.
Start Deciding.
Decision AI trained on ground truth. Trained on millions of real consumers.
195 countries. Zero-party data. Certainty in days, not months
Trained on millions of consumers providing
zero-party activity data
195 countries with deep local intelligence
Thousands of verified data points
per consumer (not 3-question surveys)
Decision AI trained on ground truth (not models, not panels)
Sena Copilot + Agent Marketplace
2-5 day turnaround (not 6-8 weeks)
GDPR compliant, SOC 2 in progress
Trusted by Fortune 500 brands that can't afford to guess
Ready to Connect?
Ready to Connect?
Frequently Asked Questions
Frequently Asked Questions
What is an AI dataset?
An AI dataset is a structured collection of real-world data used to train, validate, and improve machine learning models. Unlike synthetic or web-scraped data, Rwazi's datasets capture authentic human behavior, environmental context, and physical-world complexity across 195 countries - giving your models the ground truth they need to perform in production.
Why does dataset quality determine model success?
Garbage in, garbage out. Your model is only as good as the data it trains on. Low-quality datasets scraped from the internet, generated synthetically, or collected in controlled labs create models that fail in real-world conditions. Quality datasets reflect actual human behavior, environmental diversity, and edge cases your model will encounter in production. That's the difference between 95% accuracy in testing and 60% in the field.
How does Rwazi capture and validate data?
Rwazi combines human intelligence and automated systems to capture real-world data at scale. Our global network of 2+ million mobile users collects information from verified sources across 195 countries, while advanced validation layers and expert annotators ensure accuracy, consistency, and reliability at every stage. Multi-tier validation, consensus annotation, and continuous monitoring keep quality high.
Which data formats are supported?
We support standard formats including CSV, JSON, XML, XLSX, and TXT, as well as custom formats tailored to your project's needs. All datasets are delivered in clean, ready-to-use structures optimized for AI training and compatible with major ML frameworks like TensorFlow, PyTorch, and scikit-learn.
How long does a dataset project take?
Timelines vary based on project complexity and scale. Typical dataset projects range from 1 to 4 weeks, with smaller collections delivered in just a few days. Our agile workflow allows for iterative delivery so you can begin testing early while we continue data collection. Need it faster? We offer 48-hour rapid deployment for urgent projects.
What is an AI dataset?
An AI dataset is a structured collection of real-world data used to train, validate, and improve machine learning models. Unlike synthetic or web-scraped data, Rwazi's datasets capture authentic human behavior, environmental context, and physical-world complexity across 195 countries - giving your models the ground truth they need to perform in production.
Why does dataset quality determine model success?
Garbage in, garbage out. Your model is only as good as the data it trains on. Low-quality datasets scraped from the internet, generated synthetically, or collected in controlled labs create models that fail in real-world conditions. Quality datasets reflect actual human behavior, environmental diversity, and edge cases your model will encounter in production. That's the difference between 95% accuracy in testing and 60% in the field.
How does Rwazi capture and validate data?
Rwazi combines human intelligence and automated systems to capture real-world data at scale. Our global network of 2+ million mobile users collects information from verified sources across 195 countries, while advanced validation layers and expert annotators ensure accuracy, consistency, and reliability at every stage. Multi-tier validation, consensus annotation, and continuous monitoring keep quality high.
Which data formats are supported?
We support standard formats including CSV, JSON, XML, XLSX, and TXT, as well as custom formats tailored to your project's needs. All datasets are delivered in clean, ready-to-use structures optimized for AI training and compatible with major ML frameworks like TensorFlow, PyTorch, and scikit-learn.
How do I sign up for the app?
Timelines vary based on project complexity and scale. Typical dataset projects range from 1 to 4 weeks, with smaller collections delivered in just a few days. Our agile workflow allows for iterative delivery so you can begin testing early while we continue data collection. Need it faster? We offer 48-hour rapid deployment for urgent projects.
What is an AI dataset?
An AI dataset is a structured collection of real-world data used to train, validate, and improve machine learning models. Unlike synthetic or web-scraped data, Rwazi's datasets capture authentic human behavior, environmental context, and physical-world complexity across 195 countries - giving your models the ground truth they need to perform in production.
Why does dataset quality determine model success?
Garbage in, garbage out. Your model is only as good as the data it trains on. Low-quality datasets scraped from the internet, generated synthetically, or collected in controlled labs create models that fail in real-world conditions. Quality datasets reflect actual human behavior, environmental diversity, and edge cases your model will encounter in production. That's the difference between 95% accuracy in testing and 60% in the field.
How does Rwazi capture and validate data?
Rwazi combines human intelligence and automated systems to capture real-world data at scale. Our global network of 2+ million mobile users collects information from verified sources across 195 countries, while advanced validation layers and expert annotators ensure accuracy, consistency, and reliability at every stage. Multi-tier validation, consensus annotation, and continuous monitoring keep quality high.
Which data formats are supported?
We support standard formats including CSV, JSON, XML, XLSX, and TXT, as well as custom formats tailored to your project's needs. All datasets are delivered in clean, ready-to-use structures optimized for AI training and compatible with major ML frameworks like TensorFlow, PyTorch, and scikit-learn.
How long does a dataset project take?
Timelines vary based on project complexity and scale. Typical dataset projects range from 1 to 4 weeks, with smaller collections delivered in just a few days. Our agile workflow allows for iterative delivery so you can begin testing early while we continue data collection. Need it faster? We offer 48-hour rapid deployment for urgent projects.
What is an AI dataset?
An AI dataset is a structured collection of real-world data used to train, validate, and improve machine learning models. Unlike synthetic or web-scraped data, Rwazi's datasets capture authentic human behavior, environmental context, and physical-world complexity across 195 countries - giving your models the ground truth they need to perform in production.
Why does dataset quality determine model success?
Garbage in, garbage out. Your model is only as good as the data it trains on. Low-quality datasets scraped from the internet, generated synthetically, or collected in controlled labs create models that fail in real-world conditions. Quality datasets reflect actual human behavior, environmental diversity, and edge cases your model will encounter in production. That's the difference between 95% accuracy in testing and 60% in the field.
How does Rwazi capture and validate data?
Rwazi combines human intelligence and automated systems to capture real-world data at scale. Our global network of 2+ million mobile users collects information from verified sources across 195 countries, while advanced validation layers and expert annotators ensure accuracy, consistency, and reliability at every stage. Multi-tier validation, consensus annotation, and continuous monitoring keep quality high.
Which data formats are supported?
We support standard formats including CSV, JSON, XML, XLSX, and TXT, as well as custom formats tailored to your project's needs. All datasets are delivered in clean, ready-to-use structures optimized for AI training and compatible with major ML frameworks like TensorFlow, PyTorch, and scikit-learn.
How long does a dataset project take?
Timelines vary based on project complexity and scale. Typical dataset projects range from 1 to 4 weeks, with smaller collections delivered in just a few days. Our agile workflow allows for iterative delivery so you can begin testing early while we continue data collection. Need it faster? We offer 48-hour rapid deployment for urgent projects.