# Alice Labs vs Modulai

> Two top-rated AI Consulting agencies in Stockholm. 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/alice-labs-vs-modulai
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Alice Labs | Modulai |
|---|---|---|
| Editorial score | 60/100 | 61.8/100 |
| Hourly rate | €85-130/hr (directory-listed) | not published |
| Team size | 2-9 | 10-49 |
| Location | Stockholm, Sweden | Stockholm, Sweden |
| Founded | 2023 | 2018 |
| Last reviewed | 2026-08-05 | 2026-08-05 |
| Services | AI Consulting, AI Automation, AI Agents, AI SEO | AI Consulting, AI Development, Generative AI, AI Agents |
| Industries | E-commerce, Public Sector, SaaS & B2B | FinTech, Healthcare, Manufacturing, E-commerce |

## Our take on Alice Labs
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

The most consistently quantified portfolio in this register, and it belongs to a firm founded in 2023.

Ljusgårda, the named client, runs a vertical farm supplying grocery stores; the SMS ordering agent built for it automates 70-80% of order calls and saves a stated 2.5 million kronor a year against an 83% cost reduction. A public-sector document process went from 60 hours to 3 minutes, freeing a claimed 6,400 to 8,000 hours annually. A media company's article rewrite engine took one page from 141 clicks to 3,091. An accounting firm went from zero to 41 top-three rankings.

Every one of those is an operational number rather than a vanity metric, which is the useful kind.

The qualification is age and attribution: one named client across five cases, two years of operating history, and no team size published. The numbers are the agency's own and none is independently verifiable. Ask for a reference call with Ljusgårda first.

### Key strengths
- Five engagements, five sets of outcome figures—no other agency on this roster publishes results this consistently
- The figures are operational: hours freed, calls automated, kronor saved, rather than impressions or engagement
- Works across automation, agents and AI search rather than one narrow service, which suits a smaller company buying its first AI project

### Good to know
- Only one of the five cases names its client—ask which sector descriptions correspond to which companies
- Founded 2023 with no published team size; confirm capacity and who would actually deliver

## Our take on Modulai
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

The most technically specific portfolio in this register, and the one where a reader with a machine-learning background learns the most.

The NovoNordisk work is a multi-agent retrieval system for clinical trial evidence that retrieves, analyzes and returns results in the right format while keeping traceability—the case index names the client, though the study itself describes it as one of Europe's largest pharmaceutical companies. For an unnamed American software company it built a Bayesian hierarchical logistic regression for small-business credit risk: a model choice, stated as such, in a market where most firms write 'AI-powered'. Fuelmatics needed a robotic arm to find a car's fuel lid in real time, so the detector was optimized to run on CPU rather than assuming a GPU budget. Optilogic got a custom agent embedded in its own supply-chain platform, turning plain language into SQL for users who would otherwise queue behind technical staff.

The published case index runs past a dozen engagements, and the engineering blog carries the same register: how to evaluate retrieval systems with synthetic data and an LLM judge, how a deep-research multi-agent system is built.

The gap is outcomes. Case after case describes what was built and stops, so the portfolio proves capability and never impact. Ask each reference what changed.

### Key strengths
- Names its models and its reasoning—Bayesian hierarchical regression, multimodal RAG, CPU-optimized detection—rather than describing capabilities
- Klarna and Novo Nordisk among named clients, which is a rare pairing of consumer fintech and regulated pharma
- Publishes method openly, including how it evaluates retrieval quality, so the engineering standard is checkable before you engage

### Good to know
- More than a dozen published cases and no outcome figure in any of them—this team documents how it works, not what it earned
- A 30-plus engineering team taking research-grade problems; confirm capacity and timeline before committing to a deadline

## Which to choose
Choose Alice Labs for:
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector / SaaS & B2B
- broader service offering — also covers AI Automation and AI SEO

Choose Modulai for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Healthcare
- broader service offering — also covers AI Development and Generative AI

## Questions buyers ask

### Which has more E-commerce experience, Alice Labs or Modulai?
Both agencies show documented E-commerce work. Modulai has the broader industry stack overall, with disclosed experience in FinTech, Healthcare, Manufacturing beyond their shared focus.

### Which scores higher overall, Alice Labs or Modulai?
Modulai scores 61.8/100, 1.8 points higher than Alice Labs at 60/100. See our methodology for how scores are calculated.

### When should I consider both Alice Labs and Modulai?
Consider running parallel discovery briefs with Alice Labs and Modulai 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