# Conectia vs Datarmony

> Two top-rated AI Consulting agencies in Barcelona. 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/conectia-vs-datarmony
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Conectia | Datarmony |
|---|---|---|
| Editorial score | 51/100 | 52.8/100 |
| Hourly rate | €20-40/hr (directory-listed) | not published |
| Team size | 10-49 | 10-49 |
| Location | Barcelona, Spain | Barcelona, Spain |
| Founded | 2020 | 2022 |
| Last reviewed | 2026-09-10 | 2026-09-10 |
| Services | AI Consulting, AI Development, AI Automation | AI Consulting, AI Development |
| Industries | Legal, Healthcare, FinTech | E-commerce |

## Our take on Conectia
Reviewed 2026-09-10 by Gabor Kiss against published evidence.

The published work is mostly embedded squads and fractional CTO engagements, each closed with a 90-day number: 3x delivery throughput on one, engineering opex down 40% on another.

The AI substance sits in two places—a multi-tenant legal SaaS in production at day 42 with EU AI Act risk classification and an audit log from day one, and Conect AI Dev, the firm's own agentic delivery platform, installed at STUVEO, MintID and ZADQ.

What is not published is a client-facing AI system they built and now operate; the platform automates their own delivery, which is a different purchase.

Conectia publishes no rate itself; the €20-40/h shown here comes from a third-party directory listing.

Best for founders and CTOs buying senior capacity that already works this way, rather than a team to build and run an AI product for you.

### Key strengths
- The delivery platform is documented at architecture level—Python MCP connectors, per-agent tool allowlists, iteration caps and five human gates no agent can bypass—rather than asserted
- New codebases get a replay pass first: the loop runs against tickets the team already shipped, gates closed, so its plans are checked before any live work
- Five-star profiles on Clutch, GoodFirms and G2, with the client's own words quoted on the MintID engagement

### Good to know
- Published cases describe nearshore senior engineers at a 55% rate reduction—confirm where your team sits, who owns architecture decisions and what happens when they roll off
- One client-facing AI build is published in detail; ask for a second reference where they built the AI system rather than the delivery around it
- No team page or named engineers are published and the linked LinkedIn is a founder profile—ask who staffs your squad before signing

## Our take on Datarmony
Reviewed 2026-09-10 by Gabor Kiss against published evidence.

Published work is measurement and data engineering on Google Cloud rather than model building: a Markov-chain attribution model for Desigual that showed early-funnel channels were being under-credited, and a data-quality monitor for Iberostar the firm estimates halved the time to find and fix measurement errors.

Both carry a named client testimonial with the person's role attached, which is rarer in this category than it should be.

Of the eleven published cases, seven name only the sector, so the shape of the work is visible while most of the client list is not.

The weaker fit is buyers who want a generative AI system built and operated: nothing published names an LLM deployment or the team that runs one.

### Key strengths
- Method is named rather than hidden behind proprietary language: Markov-chain attribution built on Google Analytics and BigQuery data
- Published cases span attribution, marketing mix modeling, demand forecasting, call analysis and geolocation, so the analytics range is visible before the first call
- Named clients back their studies with attributed quotes from the digital and data leads who bought the work

### Good to know
- No rate is published—anchor the conversation against the European range on our rate index before scoping
- The site and every case study are in Spanish; confirm the working language for reporting and documentation
- Outcomes are mostly directional, with one estimated 50% figure—agree up front what will be measured and against which baseline

## Which to choose
Choose Conectia for:
- disclosed specialization in Legal / Healthcare
- broader service offering — also covers AI Automation

Choose Datarmony for:
- disclosed specialization in E-commerce
- an overall editorial score of 52.8/100

## Questions buyers ask

### Which scores higher overall, Conectia or Datarmony?
Datarmony scores 52.8/100, 1.8 points higher than Conectia at 51/100. See our methodology for how scores are calculated.

### When should I consider both Conectia and Datarmony?
Consider running parallel discovery briefs with Conectia and Datarmony 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