City skyline at dusk

Industries

Your industry’s hardest challenges, solved in production.

Where we help

From our experience, AI does not pay back evenly across industries. In each industry the value concentrates in a handful of high-cost, operational challenges, the ones that decide a margin or a mandate. As an AI application factory, we build the applications that capture it, designed around your operation and run in production on sovereign infrastructure. With the UAE moving this fast on AI, the institutions that put it to work now set the pace; the ones that wait hand the advantage to their competitors. The scale of that opportunity here:

20%

Share of the UAE's non-oil GDP that AI is targeted to contribute by 2031

UAE National AI Strategy

AED 13B

Abu Dhabi's 2025–2027 investment to become the world's first AI-native government

Abu Dhabi DGE, 2025

$232B

Potential GDP uplift for the Middle East by 2035 from AI, with the UAE a key driver

PwC Middle East, 2025

Energy & Utilities

In energy and utilities the biggest costs sit in unplanned downtime, an unbalanced grid and slow manual procurement. The data is already there. We turn it into failure predictions, grid forecasts and AI agents that read and assess every tender and standard.

Unplanned failure of an asset, a turbine, a transformer or a pump, runs into millions a day.
Predictive maintenance on sensor, vibration and telemetry across generation, grid and plant assets.
Balancing supply and demand gets harder as solar, wind and storage come onto an ageing grid.
Load and renewable-output forecasting, with grid fault detection and dynamic dispatch.
Procurement runs on manual RFPs and tenders, with supplier quotes and bids compared by hand.
RFP, tender and quote analysis that reads the bids, scores them and drafts the evaluation.
Engineering standards, contracts and permits are vast, and the answer is slow to find.
AI agents that answer from standards, contracts and the permit record, with citations.
Operational data sits in silos across Supervisory Control and Data Acquisition (SCADA), field and back-office systems, so a single view takes days.
One live operations picture across what used to be scattered field and back-office systems.

Before it fails

equipment failure predicted from sensor and telemetry data

Self-healing

grid reliability held with AI fault detection and dispatch

Weeks → hours

to evaluate an RFP and a stack of supplier quotes

Financial Services

A financial institution runs many businesses under one regulator: retail banking, private banking, wealth and family offices, and the trading floor. The cost builds across all of them: fraud alerts cleared by hand, KYC files that take weeks, credit calls that vary desk to desk. We score fraud in real time, clear the documents, and run due diligence across every UAE regulator, all on data you already hold.

AML and fraud monitoring buries analysts in false alerts they clear by hand.
Real-time anomaly detection and machine-learning transaction monitoring for AML and fraud.
Trade finance, lending and payments are document-heavy and slow, with a large back office.
Agentic document processing that clears trade finance, lending and KYC.
Onboarding and KYC drag on, losing customers before the first transaction.
AI agents that run Enhanced Due Diligence and regulatory compliance across the key UAE regulators.
Credit and risk decisions are coarse and inconsistent across the book.
Credit and risk scoring that stays consistent and explainable to a regulator.
Every contact-centre and relationship-manager interaction is expensive to serve.
AI agents that carry the load for service and relationship teams.
Dubai Financial Services AuthorityFinancial Services Regulatory AuthoritySecurities and Commodities AuthorityCentral Bank of the UAE

Real-time

fraud and AML scoring on every transaction, in milliseconds

Days → minutes

to clear a trade-finance or lending file

Fewer false alerts

so analysts decide instead of clearing noise

Bring us the challenge that defines your industry.

We design it around your operation, ship a working MVP in weeks, and run it in production.

FMCG

FMCG is a long chain, and a miss anywhere turns into waste or lost share: forecasts that slip, trade spend nobody can trace to volume, social channels the team cannot keep up with. Base7 works the whole chain, turning your sales and market data into demand and supply forecasts, trade-spend models, and always-on social and competitor monitoring in Arabic and English.

Production and distribution run on forecasts that miss, so plants over-make or under-supply.
Demand and supply forecasting that sets how much to make and where to ship.
Trade spend to retailers goes out without a clear read on what actually lifted volume.
Trade-spend and promotion-effectiveness models that back what sells through.
Route-to-market and distribution are decided market by market, by hand.
Route-to-market and distribution planning across markets.
Brand-owned social channels move faster than the team can post, listen and respond.
Social media management: content, scheduling, listening and response, in Arabic and English.
Brand and competitor signals across markets are read late, if at all.
Brand and competitor monitoring that reads tens of thousands of consumer signals at once.

Make to demand

production and distribution planned on a forecast that holds

Always-on

brand social content, listening and response, Arabic and English

Trade spend

put behind what actually lifts volume through the channel

Government & Public Sector

Government runs at national scale, and every decision has to stand up to an auditor. Today the load piles up: citizen services that cannot scale, permit and claim backlogs, revenue leaking to fraud. On sovereign infrastructure, we turn the state's own records into round-the-clock services in Arabic and English, cleared backlogs, and fraud caught before it pays out.

Citizen transactions run through call centres, counters and forms that cannot scale to demand.
Conversational and agentic services in Arabic and English, on sovereign infrastructure.
Licensing, permits and procurement sit in case and document backlogs.
Document intelligence and workflow automation that clear the backlog.
Grants, subsidies and customs leak revenue to fraud and incorrect payments.
Anomaly detection across payments, claims and customs.
Policy and case knowledge is buried across statutes and prior decisions.
AI agents that answer from the official policy and case record, with citations.
Events that affect the country are read late, when an early signal would have changed the response.
Early-warning models on the events that affect the country.

24/7

services answered and transacted in Arabic and English

Routine cases

resolved autonomously, staff freed for judgement

Before it clears

a suspect payment flagged and held

Have the need, but not sure where to start?

Get in touch. We will clarify what you actually need, then propose a roadmap that carries the ambition from idea to a system running in production.

Retail & e-commerce

On the sell side, small percentages move real money: a shelf that stocks out, a backroom of markdowns, traffic that browses and leaves, a catalogue too large to price by hand. Our AI applications forecast and replenish, free the trapped stock, shape each visit to the shopper and price the whole catalogue, built by operators who ran retail and supply chain at Amazon scale.

Store and channel forecasts miss, so shelves stock out while backrooms hold overstock and markdowns.
Store and channel demand forecasting and replenishment.
Out-of-stock and aged inventory quietly waste money on every shelf and in every warehouse.
Out-of-stock and aged-inventory control that frees trapped cash.
Traffic that does not convert is the most expensive kind, and generic experiences convert worst.
Product placement, merchandising and search that surface the right item.
Consumer pricing and promotions are set by hand across a catalogue too large to track.
Dynamic consumer pricing and promotion engines across large catalogues.
Routine customer service across web, app and store grows more expensive with every order.
Conversational agents that improve service across web, app and store.

Amazon-scale

forecasting and fulfilment know-how, from operators who ran it

Right stock

out-of-stock and aged inventory cut, cash freed from the shelf

Higher conversion

from Arabic-first personalisation and recommendation

Supply Chain & Logistics

In a supply chain, a point or two on the forecast is worth millions across the network. Get it wrong and stockouts arrive with excess inventory, trucks run half-empty, and a port delay lands before anyone reacts. Our AI-powered solutions forecast demand, balance inventory and catch disruptions early, cutting inventory 20 to 30 percent and logistics cost 5 to 20 percent.

Forecasts miss, so stockouts and excess inventory show up at the same time.
Machine-learning demand forecasting on external signals.
Aged and dead stock ties up cash, while downstream out-of-stocks lose the sale.
Inventory optimisation that clears aged stock and holds against out-of-stocks.
Transport runs with empty miles and fuel that nobody optimises in real time.
Supply-chain network optimisation across routes, nodes and modes.
Procurement is slow and manual, and vendor performance is hard to see across a large base.
Procurement and vendor management: sourcing, performance and risk across a large supplier base.
Disruptions, from a port delay to a supplier failure, are handled by hand and caught too late.
Predictive disruption detection, with agents that resolve the exception.

20–30%

less inventory tied up, from AI demand forecasting

5–20%

lower logistics cost, from route and network optimisation

Caught early

disruptions predicted and resolved before they land