# Ergo vs Spanish Point Technologies

> Two top-rated AI Consulting agencies in Dublin. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/ergo-vs-spanish-point-technologies
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Ergo | Spanish Point Technologies |
|---|---|---|
| Editorial score | 65.8/100 | 65.8/100 |
| Hourly rate | not published | not published |
| Team size | 250+ | 50-249 |
| Location | Dublin, Ireland | Dublin, Ireland |
| Founded | 1993 | 2005 |
| Last reviewed | 2026-09-16 | 2026-09-16 |
| Services | AI Consulting, AI Development, Generative AI | AI Development, AI Consulting |
| Industries | Public Sector, FinTech, Healthcare | SaaS & B2B, Public Sector |

## Our take on Ergo
Reviewed 2026-09-16 by Gabor Kiss against published evidence.

Two of the 25 published case studies carry the AI evidence, and both are worth reading: an Element Prediction application for publishing-services firm Deanta that classifies DOCX manuscript elements with GPT-4o vision on Azure OpenAI, reporting over 90% accuracy against a 60% baseline at roughly 20 seconds per page, and an academic-integrity chatbot running on Dundalk Institute of Technology's student portal, built on Azure OpenAI, Azure AI Search and Azure AI Document Intelligence.

The rest of the published work is cloud migration, Dynamics 365, Power Platform and ServiceNow managed services, and both AI studies are Microsoft-stack end to end—if your brief involves open-weight models or a deployment outside Azure, there is nothing published to check that against.

The weaker fit is buyers who want an in-house ML bench on their account: the site names a Head of AI who came up through the Modern Workplace practice, and names no ML engineers.

### Key strengths
- Client-side executives are named and quoted in both AI studies—Deanta's CEO and DkIT's acting head of school—so the reference trail is checkable before the first call
- Microsoft depth is documented rather than asserted: six Microsoft Partner of the Year awards in Ireland, and a ServiceNow contract covering 30,000 users at University College Dublin
- The DkIT build publishes its security posture—no user details captured, resistance to prompt injection, and delivery inside the college's own virtual learning environment

### Good to know
- Both published AI engagements name Analytics Engines as the AI delivery partner—confirm which company's engineers would build and then operate your system
- The DkIT study reports user acceptance testing and launch but no usage figures—ask how many queries the chatbot handles and what share of them it resolves
- Ergo now trades as a Presidio company; ask where the Irish AI team and its delivery partners sit in the new structure before a multi-year commitment

## Our take on Spanish Point Technologies
Reviewed 2026-09-16 by Gabor Kiss against published evidence.

The AI evidence sits in the Matching Engine, Spanish Point's own music-rights platform, live across 13 markets that distribute €2.6 billion in royalties a year: CISAC commissioned a fraud-detection build on Azure Databricks and Cognitive Services, with a model the firm trained on similarity to famous works, creator tenure and submission rates.

That study is explicit that the model is a pilot now being folded into the product—the 98% auto-match and 70% faster processing figures belong to the platform rather than to the model—so what the evidence shows is production infrastructure with an ML feature maturing inside it.

The rest of the named portfolio is Microsoft platform delivery rather than AI: the Patient Access Management System at the National Treatment Purchase Fund has handled 160,000 patients across 58 hospitals in five years, and Kefron came off 70-plus servers onto weekly releases with a 25% rise in NPS.

The weaker fit is buyers who want a model built outside the Microsoft stack, or who need the AI itself—not the platform beneath it—to be the part already running at scale.

### Key strengths
- Six client executives are quoted by name and title across the published projects, including the NTPF's ICT and process-innovation directors and Kefron's CFO
- Ten Microsoft Ireland Partner of the Year awards since 2020, Azure Expert MSP status and a Deloitte Technology Fast 50 place in 2025, with company registration number and Dublin address on-site
- The NTPF build documents its security work—NIST standards, Entra ID single sign-on with per-hospital data scoping, CISO and DPO involved through tendering—not just the feature list

### Good to know
- The 70–90% reduction in manual invoice processing on the Kefron page is Kefron AP's own product capability, named as such in that study—ask which numbers the engagement itself moved
- Machine learning appears in one of the eight published projects—ask how many of the 100-plus engineers work on models rather than platform, low-code and DevOps delivery
- Delivery is Microsoft-anchored throughout, with Databricks the one exception—confirm the stack early if your data already lives elsewhere

## Which to choose
Choose Ergo for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Healthcare
- broader service offering — also covers Generative AI

Choose Spanish Point Technologies for:
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B

## Questions buyers ask

### Which has more Public Sector experience, Ergo or Spanish Point Technologies?
Both agencies show documented Public Sector work. Ergo has the broader industry stack overall, with disclosed experience in FinTech, Healthcare beyond their shared focus.

### Which scores higher overall, Ergo or Spanish Point Technologies?
Both score equally well overall (65.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.

### When should I consider both Ergo and Spanish Point Technologies?
Consider running parallel discovery briefs with Ergo and Spanish Point Technologies if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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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