# N-iX

> N-iX is a reviewed AI agency in London, United Kingdom, listed in the AIAgencies.eu register and last assessed 2026-09-23.

Canonical page: https://www.aiagencies.eu/agency/n-ix
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: London, United Kingdom
- Website: https://www.n-ix.com
- Hourly rate: €45-85/hr (directory-listed)
- Team size: 1000+
- Founded: 2002
- Services: AI Consulting, AI Development, Generative AI, AI Agents
- Industries: FinTech, Manufacturing, SaaS & B2B
- LinkedIn: https://www.linkedin.com/company/n-ix

## About
Engineering services group with a dedicated data, AI and machine-learning practice covering generative AI consulting and implementation, AI agents and MLOps. London office; registered in Malta with delivery centers across Ukraine, Poland, Bulgaria, Romania, Sweden, India and Colombia.

## Documented clients
Documented engagements: Redflex, Gogo, WorkWave, and First Student. All 4 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-23 by Gabor Kiss against published evidence.

N-iX publishes client ML work with stack and outcome detail: two fine-tuned LLMs that summarize, filter and classify multilingual support logs for a satellite-connectivity operator, run as SageMaker batch jobs under Airflow and credited with up to 40% faster troubleshooting, and a computer-vision system that identifies laptop motherboards across 2,000+ models and cut diagnosis from 30 to under 10 minutes.

Nearly every such study anonymizes the client; the named exception, Redflex, is labeled plainly as two computer-vision proofs of concept at 88% and 91% detection accuracy, and the largest logistics engagement is still described as in development.

The homepage now leads with APEX, a program for rolling AI coding tools into a client's engineering organization, where executives at WorkWave and First Student are quoted by name and the case studies publish baselines such as test coverage rising from 55% to 81%.

The weaker fit is buyers who need a named reference for a production model before signing, or a small team buying one contained build rather than engineering capacity.

### Key strengths
- The satellite-support study lays out the architecture step by step—Airflow, EMR, SageMaker batch transform, ECR, CloudWatch—instead of hiding it behind 'proprietary AI'
- APEX case studies publish before-and-after numbers: AI tool adoption from 13% to 91%, test coverage from 55% to 81%, PR cycle time from 12.4 to 7.2 hours
- The Redflex study reports proof-of-concept accuracy (88% seat-belt detection, 91% person detection) and calls the work PoCs rather than dressing it as a deployment

### Good to know
- Almost every AI case study anonymizes the client—ask for a named reference whose production model N-iX built and still supports
- The homepage pairs 250 engineers with 28% AI-generated code, but the study measured 28% in a 30-engineer pilot cohort—ask for organization-wide figures
- Headquarters is in Malta and the London address is an office at 6 Bevis Marks, with delivery centers across Ukraine, Poland, India and elsewhere—ask where your team sits

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates