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Imagine a world…

where everyone has their own
personal analyst.

Caisy is datasapiens’ agentic AI analyst — consultant-depth answers on your own data, in plain language, for everyone. Not a tool for the function: an analyst for the individual, equipped with the skills of your role.

What would yours do?

Leadership

Prioritise the key issues, by impact.

Category Manager

Diagnose performance drivers, and recommend actions.

Buyer

Build the negotiation plan, with scenarios.

Marketer

Evaluate campaign and promotion effectiveness, and recommend improvements.

Planner

Diagnose the cause of out-of-stocks and recommend solutions.
Yours, personally
Ask in plain language; get consultant-depth answers on your own data, in minutes — iterating as fast as you think.
And your data & insights team?
Freed for value-added work, not production — we assemble, run and keep the platform fresh, daily. Live in weeks.

In production, at scale, today

1,300+

platform users

3,000+

reports run daily

69

subscribing suppliers

94%

user satisfaction

>100%

ROI per annum

2,000+

stores, one retail group
In production at scale today with a leading retailer, in every language its teams work in. The client case study →

Retailers and manufacturers we work with

  • Big C logo
  • C Smart Solutions logo
  • BENU logo
  • Unilever logo
  • P&G logo
  • Nestlé logo
  • Coca-Cola logo
  • Pepsi logo
  • Reckitt Benckiser logo
  • L'Oréal logo
  • Pernod Ricard logo
  • Beiersdorf logo
So why doesn’t every business have this already?

One business. Many versions of the truth.

Every function prepares its own numbers — different sources, different scopes, each defensible. The industry has promised one version of the truth for twenty years. AI was supposed to fix it, but generative AI writes every answer fresh.
Ask five times, get five answers: answer drift.

“How did fresh food perform last month?”

Generative AI · asked 2×
Run 1+4.6%promotions included
Run 2+3.1%regular price only
Caisy · asked 2×
Run 1+3.1%like-for-like · 2,014 stores · promotions included
Run 2+3.1%like-for-like · 2,014 stores · promotions included
The danger: each answer looks correct, so nothing looks broken — until two decks reach the same meeting. The test that decides everything: does everyone get a consistent answer, every time?
At our reference client, 1,300+ people ask.

Same AI. Different answers.

The AI engine
We always use the latest and best AI models — model-agnostic by design. The same engines are available to everyone. The AI engine is a commodity; the difference is how it’s used.
Twelve years on the hard part
Our platform provides unshakeable foundations, built since 2014. This is non-negotiable — it is what makes the same AI engine give one answer, not five. AI makes the platform conversational; the foundations make it correct.
Harmonised data
one model across every source
Governed metrics
one definition per number
Hierarchies & calendars
products, stores, time — agreed once
Promotion & pricing logic
the retail detail that moves numbers
Permission walls & evaluation
enforced at query time, tested every release

The solution, in one picture

One solution: Caisy on top, and every layer beneath it — built, run and kept fresh for you, daily.

Caisy — your AI analyst

one entry point · ask in plain language · in Teams and on the web

Insight suites

business · customer · promotion · assortment · inventory · segmentation · export

The foundations

harmonised model · governed metrics · hierarchies & calendars · permissions

Your data

transactions · loyalty · budgets & targets · inventory · third-party (market, weather, price)
What you get:
platform·Caisy·insight suites·daily data operations·implementation & service
Monday morning

A meeting that decides, not reconciles

The Monday sales meeting — or your equivalent: every function arrives with the same version of the truth.
Sales vs plan
one number, ready before the room fills
Why we’re up — or down
drivers diagnosed, not debated
Range and promotions
proposals with the evidence attached
Actions
agreed in the room, not afterwards
Any number challenged?
iterate live — ask, and ask again
Every answer scoped and sourced
period · stores · category · basis

A governed answer, in full

Ask in your language, answered on your own data. Every answer states its scope.
Choose your language + 80 more
ผลประกอบการกลุ่มอาหารสดเดือนที่แล้วเป็นอย่างไร แยกตามหมวดหมู่
How did fresh food perform last month, by category?
scope  2,014 stores · 1–31 July 2026 vs 2025 · like-for-like · promotions included · retail only, wholesale excluded · USD
Category Sales USD m YoY LFL Units m Avg price
Fresh produce48.2+6.1%+4.4%31.71.52
Meat & poultry41.9+2.8%+1.9%12.43.38
Seafood18.6−3.4%−4.1%4.14.54
Bakery22.4+8.7%+7.2%15.91.41
Dairy35.1+1.2%+0.4%19.81.77
Chilled ready meals14.7+12.3%+11.1%6.22.37
Delicatessen9.3−1.8%−2.6%2.04.65
Frozen food27.8+4.9%+3.7%11.32.46
Bakery — in-store7.6+5.5%+5.0%5.41.41
Salads & prepared veg6.1−6.2%−6.9%3.31.85
Eggs5.4+9.8%+9.1%4.71.15
Fresh — total237.1+3.1%+2.2%116.82.03
Growth is carried by chilled ready meals (+12.3%) and bakery (+8.7%), both driven by volume rather than price. Seafood declines on units, not on price — availability in the central region fell for three weeks in July. Salads and prepared vegetables lose share to chilled ready meals in the same missions.
Why did seafood units fall? Split chilled ready meals by region Same view excluding promotions
Prove it

Our answers don’t drift.
Test them.

Remember answer drift? This is how you check we’ve solved it — before you commit.

01

Ask it twice

Two logins, a week apart — the same number.

02

Golden questions

Your questions as a test set, scored every release.

03

Traceable

Scope on every answer; the source report behind it.

04

Permission-safe

Access rules enforced at query time, fully audited.

Quality as a number, not a claim — ask it twice, ask it all week.
The answer doesn’t move.

One platform.
Retailers, distributors, manufacturers.

We take your transaction data, enhance it with third-party data, and make it accessible to everyone who needs it — your own teams, and your trading partners where you permit it.
OUR CLIENTS Retailers Distributors Manufacturers transaction data at full granularity The platform harmonised · governed enhanced with third-party data market · competitor · weather · attributes PERMISSION WALL · QUERY TIME Internal users every decision-maker, an analyst each External users trading partners — only where you permit it

Retailers

Every decision-maker gets an analyst. Suppliers subscribe to permissioned insight on their own categories — which funds the platform.

Distributors

Five tiers from one internal truth to the full market read, sequenced by the data you can secure — each one paying for the next.

Manufacturers

Sales out and off-take, reconciled. An analyst for every key account manager, marketer and planner — and insight the competition doesn’t have.

Level the playing field

The capability of the global leaders, for businesses without their scale.

01

A personal analyst

For every decision-maker, in every function.

02

One truth

The same right answer for the whole business.

03

Self-funding

Supplier subscriptions cover the cost.

04

Equal terms

World-class analytics, at your scale.

One version of the truth. In a conversation.

Ready to see it on your data? Bring the questions your business argues about. Ask them twice.
01 · Discover
A live demo on your data. Your questions, not our script.
02 · Prove
Golden questions on your data: repeated runs, measured pass rate.
03 · Deliver
Live in weeks, for every user, on your own data.
See it on your data