Industries
Built for your industry’s hardest challenges.
Where we help
AI doesn’t pay back evenly. In most industries the return sits in a handful of expensive and operational problems. We build the applications that go after those, designed around how you operate and run in production on sovereign infrastructure. The UAE is moving fast, and right now the institutions putting AI to work are pulling ahead.
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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.
The outcomes
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
One live view
operations unified across field and back-office systems
Challenges we solve
A turbine, transformer or pump that fails without warning runs into millions a day.
Predictive maintenance on sensor, vibration and telemetry across generation, grid and plant assets.
Supply and demand grow harder to balance as solar, wind and storage feed 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.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touch
Financial Services
A financial institution runs retail, private banking, wealth and the trading floor under one regulator, and the cost builds across all of them: fraud alerts cleared by hand, KYC files that take weeks, credit calls that vary desk to desk.
The outcomes
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
One book
credit and risk scored consistently, explainable to a regulator
Challenges we solve
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 move slowly under stacks of documents and 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.
Service and relationship teams backed by agents that carry the routine load.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touchBring us the challenge that defines your industry.
We design it around how you operate, put a working MVP in your hands in weeks, then 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.
The outcomes
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
Every market
route-to-market and distribution planned market by market
Challenges we solve
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.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touch
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.
The outcomes
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
Early warning
national signals read before they change the response
Challenges we solve
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.
Agents that answer from the official policy and case record and cite the source.
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.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touchStart with a conversation.
Tell us the problem. We’ll work out what you actually need, then map a route 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.
The outcomes
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
Priced live
the whole catalogue priced and promoted dynamically
Challenges we solve
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.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touch
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 applications forecast demand, balance inventory and catch disruptions early, enough to take 20 to 30 percent out of inventory and 5 to 20 percent off logistics cost.
The outcomes
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
Vendor-wide
sourcing, performance and risk across the supplier base
Challenges we solve
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.
Tell us your challenge, and we'll scope how AI takes it on.
Get in touch