Unplanned downtime halts the line without warning
AI for Manufacturing
Unplanned downtime and defects quietly bleed the line.
AI that predicts failures, inspects quality at line speed and optimises every process — with digital twins of your operations.
- SOC 2
- ISO 9001
- OPC‑UA / MES
- Edge deploy
−40%unplanned downtime
Active agents
Predictive Maintenancelive
Visual Quality Inspectionrunning
Process Optimisationlive
Digital Twinsrunning
Where manufacturing teams lose time & money
Machines fail without warning, defects slip past manual inspection, and process settings drift — while every hour of downtime costs real money.
Manual quality inspection misses defects at speed
Process parameters drift and waste yield and energy
Operators lack a live model of the whole operation
AI solutions for Manufacturing
Everything we design, build and ship for manufacturing teams — production‑grade and accountable.
Predictive Maintenance
Forecast equipment failures from sensor data before they stop the line.
Visual Quality Inspection
Detect defects at line speed with vision AI trained on your parts.
Process Optimisation
Tune parameters in real time to lift yield and cut scrap and energy.
Digital Twins
Simulate and optimise lines, cells and plants before touching the floor.
Production Analytics
Unify OEE, quality and throughput data into live, actionable insight.
Operator Copilot
Guided troubleshooting and SOP answers grounded in your manuals.
From data to outcome
A transparent, production‑ready pipeline for manufacturing — no black boxes.
Sense
Ingest sensor, vision and MES data from the floor.
Predict
Models forecast failures, defects and yield.
Optimise
Recommend or adjust parameters in real time.
Act
Alerts and work orders flow to operators and MES.
The difference, line by line
We don't rip out your stack — we plug in and do the work your team dreads.
Doing it manuallyWith Bounce AI
Maintenance✕ Reactive or fixed schedule✓ Predicted before failure
Quality inspection✕ Manual, misses defects✓ Vision AI at line speed
Process control✕ Static settings, drift✓ Real‑time optimisation
Planning✕ Guesswork on the floor✓ Simulated with digital twins
Visibility✕ Siloed, after‑the‑fact✓ Live OEE and analytics
From audit to production
A proven delivery process for manufacturing — working software in weeks, not months.
Line & Data Audit
Map equipment, sensors and quality points to target the right AI.
Model Design & Integration
Design models for your lines and wire into MES, SCADA and historians.
Build, Train & Pilot
Prove impact on a pilot line before scaling across the plant.
Deploy & Scale
Roll out across lines and monitor accuracy and drift in production.
Outcomes teams actually see
−40%unplanned downtime
−52%defect escape rate
+15%yield
−12%energy per unit
Teams already shipping with us
“Predictive maintenance flagged a bearing failure a week out — we fixed it on a planned stop instead of losing a full shift.”
Plant ManagerAutomotive Supplier
“Vision inspection catches defects our line inspectors missed at speed. Escapes to customers dropped and scrap fell with them.”
Head of QualityElectronics Manufacturer
Questions teams ask us
Does it run on the factory floor?
Yes — models run at the edge for low latency and integrate with MES, SCADA and historians over OPC‑UA and standard protocols.
How much data do you need to start?
We start with your existing sensor and quality history, and vision models train on a curated set of your good and defective parts.
How do you prove impact before scaling?
We pilot on one line and measure downtime, yield and defect rate before rolling out across the plant.
Will it disrupt production to deploy?
No — we deploy in shadow mode alongside existing controls first, then hand over once performance is proven.
What does an AI project cost in the UAE?
Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.
Do you charge by the hour, or a fixed price?
Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.
How long does an AI project take to go live?
Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.
Can we see something working before committing to a full build?
Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.
How do you keep our data secure?
Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.
Do you train your models on our data?
No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.
Can our data stay in the UAE or GCC?
Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.
Do you support on-premise or private-cloud deployment?
Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.
◆ Let's build
Ready to put AI to work in your industry?
Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.
- Free AI auditWe map the highest-ROI AI opportunities across your workflows.
- Prototype in weeksA working proof-of-concept on your real data before you commit.
- One accountable teamStrategy, models, data and deployment — end to end.
120+ teams shipped across 6 industries
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