Siloed systems. Fragmented intelligence. Disconnected decisions.
Most businesses live here.
POEM365 unifies everything. One intelligence system that connects every revenue driver across your entire business. See how everything connects. Decide with complete clarity.
Your business, finally thinking as one.
End-to-end mapping of cause and effect across your business so you can make better decisions.
We securely combine your data with trillions of industry data points.
Every insight tailored to your brand, your markets, your customers.
Don't just understand what's happening, get clear recommendations on what to do.
Specialized agents continuously guiding every decision you make.
Our large causal model maps cause and effect across your data, revealing how different factors truly influence outcomes.
Our large causal model maps cause and effect across your data, revealing how different factors truly influence outcomes.
“What's causing my revenue growth to accelerate or stall?”
→ Root cause report.
“What's my revenue trajectory over the next 6 months?”
→ Causal forecast.
“How would shifting 30% of my budget impact revenue growth?”
→ Scenario simulation.
“How should I allocate my budget to maximize revenue growth?”
→ Prescriptive allocation.
Understand What’s Driving Your Revenue Performance
Get answers to questions like:
– What’s driving my revenue change – pricing, volume, customer acquisition, or retention?
– How much revenue is my new product launch or innovation actually generating?
– Which channels are accelerating growth vs. dragging performance down?
– Is my paid search on Google outperforming Meta for revenue impact?
– Are my new launches cannibalizing existing products or adding incremental growth?
The AI decomposes your revenue drivers from portfolio level down to channel, campaign, and tactic. It quantifies the causal impact of every investment you make.
Project Your Revenue Under Different Scenarios
Get answers to questions like:
– What’s my revenue trajectory over the next 6 months at brand, product line, and SKU level?
– How will each store, region, or market perform in Q4?
– What’s the forecast for online vs. offline vs. total revenue next quarter?
– How will my subscription or recurring revenue grow over the next year?
– What’s my customer lifetime value projection for new cohorts acquired this month?
Get predictions based on your historical performance, your customer behavior, and your competitive position – not generic market averages
Test Strategic Scenarios Before You Commit
Get answers to questions like:
– What’s the best path to 15% revenue growth next year – new products, new markets, or deeper penetration?
– Should I pursue aggressive growth in H1 or build momentum gradually across the year?
– How would investing $5M in innovation vs. marketing vs. distribution drive next year’s revenue?
– What if I prioritize online growth at 30% vs. omnichannel expansion at 20%?
– Should my annual growth come from volume increase or premium pricing strategy?
See the specific impact on your business, your customers, your bottom line.
Get Prescriptive Recommendations to Maximize Revenue Growth
Get answers to questions like:
– How should I allocate my budget to maximize revenue growth next year?
– What’s the optimal mix of investment across innovation, marketing, and distribution for 20% growth?
– Which products and markets should I prioritize to hit my annual revenue targets?
– How should I split my marketing budget across channels for maximum ROI next year?
– What’s the best promotional calendar to maximize revenue while protecting margins?
The AI analyzes your data, considers market context, and tells you exactly what to do.
Built In, Not Bolted On.
Your Data Never Leaves Your Control:
Data processed in your designated region
Encryption at rest (AES-256) and in transit (TLS 1.3)
Zero data sharing across customers
Why This Matters for CIOs/CDOs:
Traditional ML and LLMs are black boxes. Regulators, auditors, and executives ask: "How did you reach this conclusion?" Black boxes can't answer.
POEM365 can.
Who Sees What:
Granular permissions by user, team, and data domain
Data masking for sensitive fields
Query-level access controls
Regional data restrictions (e.g., EU data stays in EU)
Seamlessly integrates with your data infrastructure.
Integrates with Snowflake, BigQuery, Databricks
Works where your data lives.
Large Causal Foundation Model
Core AI that understands your business.
Optimization Engine
Turns understanding into action.
API Gateway / Python SDK
Programmatic access for your teams.
Equipped with enterprise-grade security at every level.
Your data stays where it belongs, with you.
Your data is your data.
We never use it for another brand’s data set.
Works within your security measures.
Timeline: 8-12 weeks to production
Your team: Minimal – IT coordination only
We handle: Architecture, integration, model build, testing, deployment
Ongoing: Managed service with SLA
Best for: Fast deployment, lean IT teams
Timeline: 4-6 weeks to production
Your team: Data science/engineering team
You handle: Model build on FOUNT platform
Ongoing: Platform license, your operations
Best for: Control, customization, internal capability building
increase in forecast accuracy
Improvement in marketing ROI
faster strategic decision-making
of all revenue drivers
Insights, Forecasting, Optimization, and Planning agent modules
Brand-specific, category-specific, or market-specific optimization
Custom causal graphs built on your revenue drivers
Continuous learning from your outcomes and decisions
Deep integration with your enterprise data systems
Models trained on your business reality
Optimization recommendations specific to your strategy
Competitive intelligence you can't get elsewhere
Choice of implementation model based on your resources