# Sngular

> Sngular is a reviewed AI agency in Madrid, Spain, listed in the AIAgencies.eu register and last assessed 2026-09-20.

Canonical page: https://www.aiagencies.eu/agency/sngular
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Madrid, Spain
- Website: https://www.sngular.com
- Hourly rate: not published
- Team size: 1000+
- Founded: 2014
- Services: AI Development, AI Consulting
- Industries: FinTech, E-commerce, Public Sector
- LinkedIn: https://www.linkedin.com/company/sngular

## About
Sngular is a Madrid-headquartered digital engineering group building AI, data-platform and MLOps solutions for finance, retail, telecom and public-sector clients.

## Documented clients
Documented engagements: Ferrovial, B100 (ABANCA), Vítaly, Banco Sabadell, and Kyowa Kirin. 3 of 5 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-20 by Gabor Kiss against published evidence.

The AI work here that carries both a named client and a published number is Connected Works, built with Ferrovial's Digital Hub: a magnet-mounted IoT unit with GPS, accelerometer and gyroscope feeding a vibration-analysis algorithm that classifies loading, unloading and transport without operator input, running on the Tiétar high-speed rail works and High Speed Two and reporting up to 20% less machinery wait time.

The generative-AI delivery sits on the services page instead, and none of it is attributable: a financial-sector client's platform for managing LLM, speech and multimodal model lifecycles—fine-tuning, guardrails, quota-controlled inference endpoints, vector stores, agent creation with an SDK—plus a tender-screening explorer and a scholarship assistant for a platform covering more than 1,000 universities, each written up without a client name or an outcome figure.

Of the 20 published success stories, most are Atlassian and Jira Service Management rollouts, mobile and cloud builds—B100 for ABANCA runs a Java backend on Kubernetes on Google Cloud with a BigQuery customer data platform—and museum installations; the closest thing to an automation number is Vítaly, where 17 processes moved onto three RPA robots and customer-service response times fell 60%.

The weaker fit is buyers who need to read a named, measured language-model deployment before they shortlist—here the LLM work and the named clients sit in different documents, so ask for one reference that covers both.

### Key strengths
- Listed on BME Growth since November 2021 with a published share price, five named directors and FY2024 revenue above €100 million—checkable in a way most agency claims are not
- Client executives are quoted by name and title on the Ferrovial, B100 and Vítaly studies, so there are people to chase for a reference rather than anonymous praise
- Sngular Gen, the AI-native development lab launched in March 2026, frames its pitch on GDPR and EU AI Act compliance and data sovereignty rather than on model names

### Good to know
- Ask which of the three AI projects on the AI Everywhere page you can take a reference for—none names its client and none publishes an outcome figure
- No rate is published anywhere on the site; with 1,300 staff across eight countries, ask which country staffs your team and at what blended rate before scoping
- AI sits in a service list that also runs to cybersecurity, Atlassian tooling, low-code and help desk—confirm the data and AI practice delivers, not a general engineering pool

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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