Introducing aiRA by Capillary

On-demand insights and analytics agent for eCommerce, growth, marketing, CRM, loyalty, and data and BI teams.

Ask questions about your customer and marketing data in plain language. Get real-time insights, the reasoning behind them, and a recommended move built and waiting on your approval.

Customer brands live with aiRA

Brands already using aiRA

Solutions

Every industry asks its own questions.

A grocer’s week looks nothing like a carrier’s or a hotel’s. aiRA knows each industry down to its categories, and the questions that come with them.

Questions retail teams ask aiRA

Find the members who installed the app and have never paid with it.
Grocery & SupermarketWeekly trips, thin margins. Small basket and frequency shifts move the whole number.
Fashion & ApparelDrops and seasons spike demand, returns eat margin. Repeat buyers decide the year.
Specialty & Outdoor RetailBig-ticket enthusiasts who shop in seasons. Who returns between peaks matters most.
Home & FurnitureHigh tickets, years between purchases. The work is staying relevant in the gap.
Convenience & FuelOne customer, two datasets: forecourt and store. The margin lives inside the shop.
Health & BeautyReplenishment you can set a clock by. A missed refill window is churn seen early.
Department & DiscountWide assortments, thin margins. Cross-category movement decides who becomes loyal.
Other RetailElectronics, marketplaces and D2C. Different catalogues, same need: answers fast.
Everything aiRA does in retail

Customer story

NASCAR gets fan insights in minutes, not weeks.

NASCAR’s marketing and CRM teams use aiRA, which already understands their fans, their data and the rhythm of a race season. Analysis that used to take weeks now takes minutes, so the team spends less time explaining and more time acting.

Against the category

Where aiRA sits against the category.

Compared on
aiRA
Horizontal AI analytics platforms
Bought by
Marketing, CRM, growth and insights leaders at consumer brands
The data platform team, then rolled out to the business
Before the first answer
Industry playbooks ship pre-built. Your business context layered on in days
You model the semantic layer first, typically two to four months
Where it ends
The recommended move, built and pending your approval
A chart, a narrative and an export. The action is a separate brief
Autonomy
An agent that proposes. A person decides, on an audit trail
Increasingly autonomous investigation, with reading governed more tightly than acting
How you pay
Credits, charged on work done. No per-seat license
Per seat or committed capacity, agreed upfront

Pricing

No per-seat pricing. Pay based on usage.

A credit is consumed when aiRA runs an analysis or builds an action. Nobody pays for a login they never use, and adding the tenth marketer costs nothing.

Credits, charged on work done

A credit is consumed when aiRA runs an analysis or builds an action. No per-seat license.

2 to 4 weeks to a pilot

On your real customer data, with your business context loaded. No engineering headcount from your side.

An immutable credit ledger

Every credit aiRA spends is written to a ledger that cannot be edited, so usage is auditable line by line.

FAQ

Frequently asked, plainly answered.

The questions that come up before every evaluation: what aiRA is, where your data goes, what it costs, and what a pilot actually runs on.

Yours is more specific? Bring it to a working session.

aiRA is an on-demand insights and analytics agent. You ask in plain language, it reads your warehouse, comes back with reasoning, and hands back insights or the segment of customers you wanted or the complete marketing journey with hyper-personalised messaging, waiting for your approval.

No. aiRA reads it where it already sits, in Databricks, Snowflake, BigQuery or Redshift. No migration, no rebuild, and every query runs sandboxed and read-only.

No. Every customer-impacting move stops at an approval gate, on an audit trail. aiRA proposes, a person decides, and that holds for every playbook it runs.

Through Anthropic Claude on AWS Bedrock inside your own region, with PII masked ahead of every call. Zero retention, stateless, and Capillary never trains on your data. SOC 2 Type II, ISO 27001, PCI DSS, GDPR, CCPA and PDPA.

Days, not months. Industry playbooks ship pre-built and your business context layers on rather than being modelled from scratch. A pilot on your real customer data takes two to four weeks.

Credits, charged on work done. A credit is consumed when aiRA runs an analysis or builds an action, every credit is written to an immutable ledger, and there is no per-seat license.

Retail, restaurants and QSR, travel and hospitality, telecom, fuel and convenience, and airlines, on top of the industries Capillary already runs loyalty for. Each one arrives with the vocabulary and the playbooks of that industry rather than a blank prompt box, and retail goes a level deeper again into its categories. If yours is not on the list, the setup does not change: aiRA reads your warehouse in week one and learns your own business context from there.

On your real customer data, with your business context loaded. No engineering headcount from your side.

The question your team is still waiting on.

Thirty minutes, one real question, answered live. We reply within one business day with a time and the security brief.

Book a working session