# Instituto de Ingeniería del Conocimiento vs Plain Concepts

> Two top-rated AI Consulting agencies in Madrid. 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/instituto-de-ingenieria-del-conocimiento-vs-plain-concepts
Generated: 2026-09-24 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Instituto de Ingeniería del Conocimiento | Plain Concepts |
|---|---|---|
| Editorial score | 65.8/100 | 68/100 |
| Hourly rate | not published | €85-130/hr (directory-listed) |
| Team size | 50-249 | 250+ |
| Location | Madrid, Spain | Madrid, Spain |
| Founded | 1989 | 2006 |
| Last reviewed | 2026-09-24 | 2026-09-07 |
| Services | AI Consulting, AI Development, Generative AI | AI Consulting, AI Development, Generative AI |
| Industries | FinTech, Public Sector, Healthcare | Healthcare, FinTech, Manufacturing |

## Our take on Instituto de Ingeniería del Conocimiento
Reviewed 2026-09-24 by Gabor Kiss against published evidence.

Fifty-seven project write-ups are published, from 2015 to 2026, and the named clients among them are mostly Spanish utilities, energy companies and public hospitals—the newest named engagement is a reservoir-inflow forecasting system implemented for Canal de Isabel II, Madrid's public water company, built to catch flow peaks in the region's headwater reservoirs.

The two generative-AI systems with the strongest figures name no client: a call-quality checker for an energy company cut the calls reviewed to surface 100 protocol breaches from 2,000 to 204, and a retrieval-augmented assistant for an international textile group is stated to run in more than 700 stores, scoring 4.52 out of 5 on an annotated test set.

The clearest named production system is SIPRESOLAR, a solar-generation forecast the write-up says is in operation at Red Eléctrica, Spain's grid operator, with maintenance provided by the institute—though that page is among the site's oldest and gives no accuracy figure.

A weaker fit for a buyer outside Spain: every client named in a project write-up is Spanish.

### Key strengths
- A non-profit R&D center founded in 1989, whose associates are IBM España, Grupo Santander, MAPFRE and the Universidad Autónoma de Madrid—backers of the institute, as the site states, not clients
- 93 models and 22 datasets on the institute's Hugging Face account, including the RigoBERTa Spanish models and four clinical Spanish NLP evaluation sets, so method can be inspected before a call
- Four named public-health engagements: sepsis alerts at Hospital Son Llàtzer, labor-induction support at Fuenlabrada, allergy coding for SERMAS and a residents' skills test at La Princesa

### Good to know
- 23 of the 57 write-ups date from 2016 or earlier, and the two generative-AI systems with the strongest figures name no client—ask for a reference from work delivered in the last two years
- SERMAS and La Princesa are described as pilots, Redeia as an exploratory project and Garrigues as joint research—ask which named systems are still running
- Prosegur, Correos and Repsol hired the institute for selection tests and network analysis rather than machine learning—check that references match the problem you are bringing

## Our take on Plain Concepts
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

The AI portfolio is named, dated and Azure-deep: ALEX writes cataract discharge reports for the Ribera healthcare group on Azure OpenAI and Azure AI Search with dynamic few-shot retrieval, validated at 96% of reports needing no physician correction, with the head of ophthalmology quoted by name.

AENOR's standards search pairs a machine-learning search engine with an assistant over 50,000 published certifications, Thera4All's Brain runs Azure OpenAI inside Plain Concepts' own Evergine engine behind a content-moderation layer, and at Nestlé the work spans phishing-URL vision inspection, an MLOps platform and a governed generative-AI platform for employees.

The caveat is measurement—most studies close on qualitative bullets like "more efficient processes", so the Ribera 96% is the exception rather than the pattern.

The weaker fit is buyers outside the Microsoft stack: nearly every published build lands on Azure, and at €85–130/h that stack opinion is priced at the top of the Spanish market.

### Key strengths
- Four named-client AI systems published with the stack named, including a healthcare deployment validated at 96% of generated reports requiring no physician correction
- Own graphics engine (Evergine) and a Microsoft relationship deep enough that Nestlé's 700-expert Global IT Hub uses them across security, MLOps and generative AI
- More than 700 employees published, so a multi-workstream program is staffable without subcontracting

### Good to know
- Most case studies close on qualitative bullets rather than measured outcomes—ask for the metric that moved on the engagement closest to yours
- Nearly all published work is Azure-native; if you run on AWS or GCP, ask for a delivered system on your stack
- At €85–130/h they price above most of the Spanish market—scope tightly, since published projects range from multi-year programs to single features

## Which to choose
Choose Instituto de Ingeniería del Conocimiento for:
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector

Choose Plain Concepts for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing
- a higher overall editorial score

## Questions buyers ask

### Which has more FinTech experience, Instituto de Ingeniería del Conocimiento or Plain Concepts?
Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: Instituto de Ingeniería del Conocimiento and Plain Concepts.

### Which scores higher overall, Instituto de Ingeniería del Conocimiento or Plain Concepts?
Plain Concepts scores 68/100, 2.2 points higher than Instituto de Ingeniería del Conocimiento at 65.8/100. See our methodology for how scores are calculated.

### When should I consider both Instituto de Ingeniería del Conocimiento and Plain Concepts?
Consider running parallel discovery briefs with Instituto de Ingeniería del Conocimiento and Plain Concepts 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