# Ergo vs Square Root Solutions

> Two top-rated AI Development 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-square-root-solutions
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Ergo | Square Root Solutions |
|---|---|---|
| Editorial score | 65.8/100 | 64/100 |
| Hourly rate | not published | €20-40/hr (directory-listed) |
| Team size | 250+ | 10-49 |
| Location | Dublin, Ireland | Dublin, Ireland |
| Founded | 1993 | 2018 |
| Last reviewed | 2026-09-16 | 2026-09-16 |
| Services | AI Consulting, AI Development, Generative AI | AI Development, Generative AI |
| Industries | Public Sector, FinTech, Healthcare | Healthcare, E-commerce, SaaS & B2B |

## 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 Square Root Solutions
Reviewed 2026-09-16 by Gabor Kiss against published evidence.

The Druid Learning build is the one to read: a content-intelligence platform with the stack published in full—transformer classifiers and spaCy named-entity recognition for topic labeling across 140+ languages, OCR and PDF parsing to split assets out of legacy files, Airflow and Kafka for resumable batch runs—and a client testimonial on the same page calling it the indexing and categorization engine their product depends on, at 500k+ assets processed.

EduSmart Planner for CJ Fallon is the second substantial one, parsing curriculum PDFs into month-wise plans and generating lesson plans and quizzes at 250+ schools and 4,500+ teachers, though the AI there is Eden AI and ChatGPT called through their APIs rather than anything trained—a different kind of engineering from the Druid work, and worth knowing which one you are buying.

Read the rest of the portfolio for what it is: more than twenty projects, most of them mobile and web product builds where AI is one feature, and the outcome percentages beside them come from the agency with no measurement method attached.

The weaker fit is buyers who need to meet the people doing the modeling—the leadership page names eight, four of them in marketing or account roles and none identified as a machine-learning engineer, against a published figure of 150+ engineers, so ask who architects your model work and where they sit.

### Key strengths
- Certified to ISO/IEC 42001:2023 for AI management, an independently audited standard rather than a self-declared responsible-AI policy
- Client voices are attributable: six named founders and CEOs with photographs, plus four client video testimonials covering the Bergo and Leaving Cert Plus work
- Project budget bands are published on the contact form, from €10,000 to €120,000 and above, so you can size the engagement before the first call

### Good to know
- The site publishes no rate—the €20–40/h shown here sits well below the European range on our rate index, so confirm which office staffs your build and at what seniority
- AI depth varies sharply across the portfolio: Druid Learning is model engineering, EduSmart is API orchestration—ask which of the two your project resembles before agreeing a price
- The published outcome percentages carry no method or measurement window—ask how 40% higher engagement or 75% time saved was measured, and over how long

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

Choose Square Root Solutions for:
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce / SaaS & B2B

## Questions buyers ask

### Which has more Healthcare experience, Ergo or Square Root Solutions?
Both agencies show documented Healthcare work and have similar industry breadth. Compare directly on the agency profiles: Ergo and Square Root Solutions.

### Which scores higher overall, Ergo or Square Root Solutions?
Ergo scores 65.8/100, 1.8 points higher than Square Root Solutions at 64/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### Which is faster to engage, Ergo or Square Root Solutions?
Neither publishes lead times, so this is a read on team size rather than a measured answer. Square Root Solutions runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Ergo runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.

### When should I consider both Ergo and Square Root Solutions?
Consider running parallel discovery briefs with Ergo and Square Root Solutions 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.

---
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