# Indigo Labs

> Indigo Labs is a reviewed AI agency in Ljubljana, Slovenia, listed in the AIAgencies.eu register and last assessed 2026-09-07.

Canonical page: https://www.aiagencies.eu/agency/indigo-labs
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Ljubljana, Slovenia
- Website: https://www.indigo.si
- Hourly rate: €45-85/hr (directory-listed)
- Team size: 10-49
- Founded: 2021
- Services: AI Development, AI Automation, AI Agents
- Industries: Manufacturing, SaaS & B2B, E-commerce
- LinkedIn: https://www.linkedin.com/company/indigo-labs-doo

## About
Indigo Labs is a Ljubljana software firm building applied AI for industrial and product companies: speech-to-text components, conversational and outbound voice agents, and machine-vision systems.

## Documented clients
Documented engagements: RISO d.o.o., Incrediscope, Faculty of Mechanical Engineering, University of Ljubljana, Irriot AB, and Spica International. All 5 carry a source URL on file.

## Curator assessment
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

## Compared head-to-head
- Indigo Labs vs Abelium R&D: https://www.aiagencies.eu/compare/abelium-rd-vs-indigo-labs
- Indigo Labs vs Alpdev: https://www.aiagencies.eu/compare/alpdev-vs-indigo-labs

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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