For CPG Brands & Category Managers

Category insights, without exposing competitor or retailer data.

Syndicated data and retailer feeds are only worth what you can actually do with them, and most of it comes with confidentiality strings attached. Nera lets your team ask real questions without tripping them.

Pro is $299/mo for one seat, month-to-month, no contract. Need SSO, role-based access, or audit logs? See Business pricing below.

What this is actually worth to you

Numbers from independent research on AI-assisted analytics adoption, not a Nera-specific claim, but a real starting point for the math on your own team.

60–80%
less time on manual data prep, cleansing, and routine category reporting
$21,613
lost per analyst, per year, to manual data workflows (2025 industry benchmark)
$299/mo
what Pro costs. A fraction of one category analyst's time on a single retailer report.
Faster category insight means walking into a retailer negotiation with the number already in hand, not scrambling for it the week before.
Source: dbt Labs & The Harris Poll, 2025; enterprise AI analytics adoption research, 2025.

What every category team already knows

The most useful category data is also the most contractually restricted.

Syndicated data comes with strings attached

Retail and syndicated data agreements strictly limit use and disclosure. A general AI tool doesn't know your contract exists.

Competitor and retailer trust is fragile

Category benchmarking only works if no one's brand-level or retailer-level figures leak to the others in the room, including inside an AI model.

Attribute coding still eats analyst time

Flavor, size, format, claims, getting category data aligned and clean before analysis even starts is still mostly manual.

How it actually works
Sales, pricing, and performance data are encrypted before they leave each participant's control. Only aggregate results are ever decrypted.
See how the architecture works →
Ready to see it on your own category data?Start now, month-to-month, no long-term contract →
Category dataEncrypted, your keys
The AI modelQuery + structure only
Your answerDecrypted with your key

"Why not just use ChatGPT Enterprise?"

Fair question. Here's the answer, no dodge.

Enterprise tiers protect you with a policy

Admin controls, a zero-retention agreement, a contract that says your data won't be used to train the model. Real protections. But the model still receives your category and pricing data in a readable form, every safeguard is a promise about what happens after that.

Nera removes the question entirely

The model never receives your category and pricing data in a readable form, not under a policy, by architecture. There's no promise to trust, because there's nothing exposed to begin with.

Already just pasting it into ChatGPT directly?

You're not alone, plenty of teams skip the enterprise conversation and use the tools they already have. Nera runs in the same kind of chat interface, nothing new to learn. Just add the one thing that was missing.

What it actually costs to protect a team your size

Per-seat sticker prices don't matter if you can't buy at that seat count. Here's the real annual cost to cover an 8-person team doing this actual job, sustained analytical work, not casual chat, control plane included.

ChatGPT Enterprise
$108,000/yr
150-seat minimum, forced, whether you need 8 people or 150. You're paying for 142 seats you'll never use.
Claude Enterprise
$75,000–$147,000/yr
Base: 20-seat minimum (you need 8) at $20/mo, $4,800/yr before anyone sends a query. Usage: sustained analytical work, the kind this job actually is, runs $750–$1,500/user/month per published heavy-workload benchmarks. For 8 active users, that's $72,000–$144,000/yr on top. You won't know where in that range you land until the bill arrives.
Nera Business
$48,000/yr
$4,000/mo, flat, for up to 8 users, control plane included. No usage meter, no surprise, no guessing what next month costs.

Figures based on an 8-person team doing sustained analytical work. Usage estimates drawn from published heavy-workload benchmarks for comparable AI usage patterns, actual costs vary by vendor and usage pattern, confirm current rates directly with each vendor.

A premium capability, not a premium price

Even at the top of any Enterprise contract, ChatGPT and Claude still receive your data in a readable form, that's true whether you're paying $8,000 a year or $150,000. More spend buys better controls around the data. It doesn't change whether the model sees it. Full data isolation, residency, and sovereignty, the actual requirement across regulated industries and regulated markets, isn't a pricing tier anyone else sells at any price. Nera includes it by default, and doesn't charge a premium to do it.

Nera's own pricing, plainly

Pro
$299/mo
One seat. $250/mo if billed annually. No contract.
Business
$4,000/mo
Includes SSO, role-based access control, and audit logging, plus up to 8 users. Additional seats are $449/mo each.
Enterprise
Custom
For organizations that need dedicated deployment and custom integration with their own systems. Contact us to talk through your requirements.

See the full pricing page for what's included at each tier.

Ask it like you'd ask your analytics team

How is my brand's share trending in this category, this quarter versus last?
What's driving growth in this segment across all contributing retailers?
Where are we losing share, and to which format or price tier?
Summarize performance across our top accounts without naming individual retailers.

Built for collaborative category analytics

Nera is working directly with CPG brands on exactly this problem today.

Live
On Google Cloud, official partnership
$299/mo
Pro tier, per user
GDPR & HIPAA
Compliant today
FAQ

Questions category and brand teams ask us

No, Nera isn't a data source, it's how you safely run AI analysis on the data you already have access to, whether that's syndicated data, retailer feeds, or your own internal figures.
No. Only the aggregate results you're authorized to see are ever decrypted. Individual contributor data stays protected throughout, and disclosure controls like minimum-contributor thresholds can be enforced as part of the setup.
Schema, product attributes, and category taxonomy remain visible for alignment and quality control, only the sensitive numeric values (sales, pricing, volumes) stay encrypted throughout analysis.
No. Not ours, not anyone's. It can't be, the model never sees it in a form worth training on.

See it on your own category data

Fifteen minutes, no obligation. Bring a real question, get a real answer.

Book a call