Comparison updated August 2026
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Lazy Ants | statworx |
|---|---|---|
| Editorial score | Higher score: 59.5/100 | 51.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 10-49 | |
| Location | Frankfurt, Germany | Frankfurt, Germany |
| Founded | 2008 | 2011 |
| Last reviewed | More recent review: Aug 6, 2026 | Aug 4, 2026 |
What we said about each
Our take on Lazy Ants
Two production AI workflows, both named, both written up with more operational honesty than this register usually sees. For Eurekantine, weekly menu planning runs through retrieval before generation: dishes carry structured properties and a vector representation, recently used ones are filtered out, an intermediate step extracts keywords from the manager's request, and only the narrowed candidate set reaches the model. Planning time fell by up to 65%.
Reviewed Aug 6, 2026
Read the full assessment →Our take on statworx
One of Germany's longest-running data-science consultancies, working since 2011 with a stated bench of 85-plus specialists, and its published work leans toward the front of the engagement: AI strategy, use-case roadmaps, transformation programs. Condor's AI transformation is the one case study that names its client. The rest—an energy provider, a fund company, an international industrial group—are anonymized, so the delivery work described (ML-based machine monitoring, computer vision in…
Reviewed Aug 4, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Lazy Ants if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in SaaS & B2B / E-commerce
- broader service offering — also covers AI Automation
- a higher overall editorial score
Choose statworx if you need
- closer collaboration at a smaller team scale
- disclosed specialization in FinTech / Manufacturing
- broader service offering — also covers Generative AI
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Lazy Ants
Strengths
- Publishes the failure modes and the verification gate, not just the outcome—rare enough that it is the main reason to shortlist them
- Both client cases quantify the operational result and carry publication and update dates
- Ownership boundaries are named by role on both sides, which is what maintenance actually depends on
Watch-outs
- Two named-client AI engagements; the third case is their own internal tooling
- The RAG case is titled around cost and latency control while stating that infrastructure cost was never measured—read it as a planning-time result
- AI sits beside Web3 and e-commerce practices; confirm the AI team is the team you would get
statworx
Strengths
- Operating since 2011, one of the longer track records in German data science
- Roadmap and strategy work is a genuine specializm here rather than a preamble to a build
- Condor's transformation is published end to end, from exploration through to scaling
Watch-outs
- Most case studies are anonymized by sector—ask for a named reference in yours
- The portfolio skews to strategy and roadmapping; if you need engineering delivery, confirm the split before signing
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which scores higher overall, Lazy Ants or statworx?
- Lazy Ants scores 59.5/100, 8.2 points higher than statworx at 51.3/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- When should I consider both Lazy Ants and statworx?
- Consider running parallel discovery briefs with Lazy Ants and statworx 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.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.