Comparison updated · Newest review
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 | Adastra | Lazy Ants |
|---|---|---|
| Editorial score | Higher score: 74.8/100 | 64/100 |
| Hourly rate | Contact for rates | €45-85/hr |
| Team size | Larger team: 250+ | 10-49 |
| Location | Frankfurt, Germany | Frankfurt, Germany |
| Founded | 2000 | 2008 |
| Last reviewed | More recent review: Sep 16, 2026 | Aug 6, 2026 |
What we said about each
Our take on Adastra
NLB is the study that settles the deployment question: the Slovenian bank put an agentic-AI control layer and its first use case into production in five months, with identity-based approvals through Entra ID, separated development, test and production environments, cost monitoring on Grafana dashboards and a published 80% cut in the time and cost of standing up each further use case. Two more named systems sit behind it—GenAI enterprise search for KWS on Amazon Bedrock, OpenSearch and…
Reviewed Sep 16, 2026
Read the full assessment →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 →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 Adastra if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Manufacturing
- broader service offering — also covers Generative AI
- a higher overall editorial score
Choose Lazy Ants if you need
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B / E-commerce
- broader service offering — also covers AI Automation
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Adastra
Strengths
- Client executives go on the record by name and title—NLB's CIO and AI architect, GZ Media's print production director, Magna Bohemia's CEO—so references are traceable before the first call
- German delivery is not a sales address: four offices with street addresses in Frankfurt, Wolfsburg, Munich and Hannover, a named German CEO and a named German AI lead
- The German-language index lists further AI engagements at E.ON, KUKA, ams OSRAM and Hyundai, so the German book is not one story deep
Watch-outs
- No rate is published anywhere read—ask for a blended day rate and for the split between German and Czech or Slovak delivery before comparing bids
- The 150-plus AI specialists and 20-plus years are the firm's own figures—ask how many sit in the German practice and who would staff your engagement
- Governance is the visible strength; if you need the model built and evaluated, ask for the evaluation method and accuracy numbers behind a delivered use case
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
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.
Pricing math
What a 12-week engagement at one full-time equivalent (~480 hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
Adastra
Contact for rates
Lazy Ants
Rate: €45-85/hr
€21,600–€40,800
Only Lazy Ants publishes a rate, so there is no gap to measure. Adastra quotes per engagement — ask for a rate card early, since a comparison that starts on scope and ends on price tends to end late.
Frequently asked questions
- Which scores higher overall, Adastra or Lazy Ants?
- Adastra scores 74.8/100, 10.8 points higher than Lazy Ants at 64/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- Which is faster to engage, Adastra or Lazy Ants?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Lazy Ants runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Adastra runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.
- When should I consider both Adastra and Lazy Ants?
- Consider running parallel discovery briefs with Adastra and Lazy Ants 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.