# Abelium R&D vs Indigo Labs

> Two top-rated AI Development agencies in Ljubljana. 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/abelium-rd-vs-indigo-labs
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Abelium R&D | Indigo Labs |
|---|---|---|
| Editorial score | 51/100 | 60/100 |
| Hourly rate | €85-130/hr (directory-listed) | €45-85/hr (directory-listed) |
| Team size | 10-49 | 10-49 |
| Location | Ljubljana, Slovenia | Ljubljana, Slovenia |
| Founded | 2009 | 2021 |
| Last reviewed | 2026-09-07 | 2026-09-07 |
| Services | AI Development, AI Consulting | AI Development, AI Automation, AI Agents |
| Industries | FinTech, SaaS & B2B, Manufacturing | Manufacturing, SaaS & B2B, E-commerce |

## Our take on Abelium R&D
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

Abelium is a research house first: founded 2009 in mathematical optimization and operations research, with EU-funded projects—satellite-based photovoltaic forecasting for grid stability, digital tooling for cattle farming—sitting alongside the client work.

The AI-era evidence is its own product rather than a client deployment. so-yesterday.ai is live, and its architecture is described in detail: three information layers, on-premise open-weight models for chat and embeddings with frontier APIs only where they help, and a cryptographically verifiable audit trail on every synthesized claim, built explicitly as a proving ground for regulated environments.

The named client work is older and not AI—the GoOpti transport marketplace ran 2014 to 2018 on optimization algorithms, reporting more than 32,000 passengers a month and a 93% satisfaction rate.

Best for buyers with a genuine optimization or research problem—forecasting, scheduling, algorithmic matching—rather than a language-model deployment, and worth asking what that architecture would cost applied to your own documents.

### Key strengths
- Optimization and operations research as the core discipline, with published EU-funded research projects behind it rather than a services page
- The architecture of their own platform names the hard parts: on-premise models for confidential data, frontier APIs only where they earn their place, and an audit trail tying every claim to a source
- The GoOpti engagement ran four years and is backed by a client review on a third-party directory

### Good to know
- The AI-era system is their own product, not a client deployment—ask for an engagement where they built this architecture for someone else
- The named client work predates the language-model era—ask what has been delivered since 2023 and for whom
- At €85–130/h this is the highest published rate in Ljubljana—confirm what research-grade work costs against a scoped delivery

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

The project pages publish what most agencies withhold: duration, team size, budget band, the full stack and a client quote. The multilingual chatbot for the University of Ljubljana's mechanical engineering faculty ran two months with one engineer at a €5k–10k budget; the RISO ESG tool pairs Azure AI Document Intelligence with OpenAI to pre-fill compliance templates from documents the client uploads.

RISO reports a 70% reduction in the time to run a double-materiality analysis, with that platform described as an MVP in testing rather than a finished product, and the padel-court system processes four camera feeds in real time on NVIDIA Jetson hardware.

Eight named clients across agritech, sports, enterprise asset management and ESG compliance, at €45–85/h from a Ljubljana team of 10-49.

The weaker fit is a buyer who needs an established vendor with a decade of production systems behind it; what is on offer here is scoping transparency and small, bounded builds.

### Key strengths
- Every project page states duration, team size, budget band and the full stack, which makes scoping a conversation rather than a negotiation
- Client testimonials carry outcomes, including a 70% reduction in the time to run a double-materiality analysis on the ESG tool
- Range spans language models and classical machine vision: Azure AI Document Intelligence with OpenAI on one build, four-camera real-time inference on NVIDIA Jetson on another

### Good to know
- Several flagship builds are described as MVPs in testing—ask which are live with real users today
- Published team sizes run one to three people per project—confirm capacity if you need parallel workstreams
- Budgets appear as per-project bands rather than a rate card—confirm the hourly basis and what maintenance costs after launch

## Which to choose
Choose Abelium R&D for:
- disclosed specialization in FinTech
- broader service offering — also covers AI Consulting

Choose Indigo Labs for:
- a more cost-effective engagement (~65% lower rate)
- disclosed specialization in E-commerce
- broader service offering — also covers AI Automation and AI Agents
- a higher overall editorial score

## Questions buyers ask

### Which is cheaper, Abelium R&D or Indigo Labs?
Indigo Labs is cheaper by roughly 65% — €65/hr median vs €108/hr at Abelium R&D. Published rates cover different things at different agencies — seniority mix, discovery and included revisions are the usual variables — so treat the gap as a question to ask, not a verdict.

### Which has more SaaS & B2B experience, Abelium R&D or Indigo Labs?
Both agencies show documented SaaS & B2B work and have similar industry breadth. Compare directly on the agency profiles: Abelium R&D and Indigo Labs.

### Which scores higher overall, Abelium R&D or Indigo Labs?
Indigo Labs scores 60/100, 9 points higher than Abelium R&D at 51/100. See our methodology for how scores are calculated.

### When should I consider both Abelium R&D and Indigo Labs?
Consider running parallel discovery briefs with Abelium R&D and Indigo Labs 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