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Sonalake

Dublin, Ireland

50-249Contact for ratesFounded 2016
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About

Sonalake is a software engineering company in Blackrock, greater Dublin, building analytics, automation and AI-driven platforms for telecoms, fintech and life-sciences clients.

Who They Work With

Telecom operators and data-heavy product companies adding forecasting or anomaly detection to a platform they already run.

Based on 4 client engagements with a source URL · researched 3 Sept 2026

Our Take

The one machine-learning case study with substance is the Vodafone congestion forecaster: cell KPIs decomposed into seasonal, trend and noise components, predicted with neural networks and time-series methods, then ranked so the first couple of hundred at-risk cells surface first—87% accuracy at the 97th percentile, 90% at the 99th.

The rest of the AI evidence sits inside VisiMetrix, the firm's own network-analytics product, which has run at Three Ireland since 2015 and now carries ML forecasting and anomaly detection, so on that path you are buying a product roadmap rather than a bespoke model.

Neither study states what the forecasting changed in churn, spend or outage rates, and the 20-plus other published case studies are platform engineering, BSS delivery and team augmentation, so if you need an AI system's business effect on paper, ask for it directly.

The weaker fit is buyers outside telecom or data-platform work who want a standalone AI consultancy—AI here is a data-science strand inside a software engineering firm, not the main offer.

Key strengths

  • The congestion study publishes its method and separates prediction error from ranking error (70% and 88% respectively), which is rarer than a single headline accuracy figure
  • Operator-level named references: a Chief Network Officer quote from Vodafone Ireland and a Head of Access and Transmission Networks quote from Three Ireland
  • A named data scientist publishes an eight-step prototype-to-production process covering deployment, MLOps monitoring and model stability, so the delivery discipline is visible before the first call

Good to know

  • The forecaster study reports accuracy, not business outcome—ask whether it is still in use at Vodafone and what it changed operationally
  • Rates are unpublished; anchor on the European range on our rate index and ask whether AI work is staffed from Dublin or the Poznań engineering center
  • The site names one data scientist and describes the wider organization as agile project teams—ask how many people do ML and who would be on your model work
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 3 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Documented engagements: Vodafone, Three Ireland, Travelport Digital, Orreco, Ryanair, Ericsson, and Yahoo. 4 of 7 carry a source URL on file.

Vodafone4G cell-congestion forecaster (decomposition plus neural networks and time-series models, 87–90% accuracy at the top percentiles) and the Always On Network Monitor used daily by care and technical teams, with a Chief Network Officer quoteSource
Three IrelandVisiMetrix network-analytics product monitoring the Arranmore Island rollout since 2015, now with ML forecasting and anomaly detection; Head of Access and Transmission Networks quotedSource
Travelport DigitalOpen-source data platform on AWS with Looker embedded analytics, built to feed later ML applications (data engineering, not AI delivery)Source
OrrecoHosted SaaS biomarker data platform for elite-sport federations and franchises (platform build; cognitive-computing components on the roadmap, not delivered)Source

Also worked with

Ryanair
Ericsson
Yahoo

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