The AI context platform for consumer goods
Your business context, in every decision you make.
Your data shows what happened. Chorus connects the context to understand why, what drives growth, and where to act next.
01 · What Chorus connects
Two halves of every decision, finally in one place
Chorus reads from the systems you already use. Every connection is read-only.
WHAT HAPPENED
Commercial data
- Retailer salesPoint-of-sale by store and week
- Retail mediaOnsite search and display
- Trade and promotionDiscounts, events, incentives
- Inventory and supplyIn-stock and shelf availability
- PricingShelf prices and competitor moves
- Market and shopperPanels, search trends, reviews
Connected · read-only
WHY IT HAPPENED
Team knowledge
- Planning documentsJoint business and brand plans
- Meeting notesWhat was decided, and why
- Account notesWhat buyers and partners said
- Research reportsBrand trackers, consumer studies
Connected · read-only
02 · Chorus at work
Notice it. Explain it. Act on it.
High impact
Brand velocity at a top retailer is down 11%, three weeks running
Most likely causes, strongest first
Recommended action · Confidence: Medium
Shift $60K of retail media to where it drives incremental sales
+$140K to +$260K estimated, 8 weeks
Fits your objective: protect premium mix
Illustrative data.
03 · Context you can verify
Built so you can trust every answer
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1
Every number has a source
Each figure links back to the report, row or document it came from.
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2
Facts and estimates are labeled
Findings are marked as observed, modeled or from your plan, so no one mistakes an estimate for a fact.
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3
Causes are tested, not assumed
Chorus weighs the evidence for and against each explanation, and shows what it ruled out.
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4
People confirm what it learns
Knowledge from meetings and notes isn’t used until a person confirms it or a second source backs it up.
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5
Data health is always checked
Freshness and quality checks run on every source, and anything built on late data is flagged.
04 · Customer results
Results from a leading global consumer goods enterprise
Projected return for the customer
- Days → 25 min
- The same weekly question, answered
- 70–80%
- Less time on data assembly and context-gathering before insight
- $1.1M
- Analyst capacity recaptured annually
- $45M
- Modeled decision-quality gain on a $4.5B business line
Proof-of-concept results, 2026. Return and decision-quality figures are modeled projections.
05 · Who it’s for
Built for brands sold through retail at scale
- Consumer packaged goods
- Retail
- Health and beauty
- Alcohol and beverage
- Consumer electronics
06 · Questions
Frequently asked questions
Who owns the data Chorus uses?
You do. Your data, and everything your team adds to Chorus, belongs to your company. It’s kept separate from every other customer, never shared, and never used to train AI models. Access follows the permissions you set, so people only see what they’re allowed to see.
Do we have to upload data or documents for Chorus to learn?
No. Chorus connects directly to the systems you already use, from retailer and media data to planning documents and meeting notes, with read-only access. Your admin chooses which sources it can learn from. When something is unclear, Chorus asks the one person who would know, and only when the answer could change a recommendation.
Will our team need to learn a new system?
No. Chorus signals, answers and recommendations arrive where your team already works, such as Microsoft Teams, Slack and email. From there, anyone can ask a follow-up question or approve a decision without switching tools. A full workspace is there whenever someone wants to dig into the evidence.
How much can Chorus be tailored to our business?
Chorus is set up around how your business is organized: your business lines, brands, retailers and markets. You set the objectives every recommendation is weighed against, choose which data sources it uses, and control who can see what. As your team confirms and corrects what it learns, Chorus adapts to how your business actually works.