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 | Algomine | Sparkbit |
|---|---|---|
| Editorial score | 64/100 | 64/100 |
| Hourly rate | Lower published rate: €45-85/hr | €85-130/hr |
| Team size | Larger team: 50-249 | 10-49 |
| Location | Warsaw, Poland | Warsaw, Poland |
| Founded | 2015 | 2014 |
| Last reviewed | Sep 9, 2026 | More recent review: Sep 23, 2026 |
What we said about each
Our take on Algomine
The multi-agent engagement is the one that shows the shape of the practice. For a Swedish industrial group of more than 15,000 people operating in over a hundred countries, Algomine ran two parallel workstreams for more than two years: maintaining two production AI applications, a document analyzer and a configuration assistant for bespoke heat exchangers, while building the greenfield multi-agent platform meant to replace a hard-coded chatbot the client had bought elsewhere. The reasons the…
Reviewed Sep 9, 2026
Read the full assessment →Our take on Sparkbit
Sparkbit publishes ML case studies with the model, the metric and the handover spelled out: for 5x5 Technologies it retrained a YOLOv8 tower-equipment detector from F1 0. 72 to 0. 86 over a 12-month engagement on a telecom digital-twin platform, and for the New York health-tech startup phy it built a posture-analysis core covering 20+ conditions whose algorithms went into the client's FDA application.
Reviewed Sep 23, 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 Algomine if you need
- a more cost-effective engagement (~40% lower rate)
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech
- broader service offering — also covers Generative AI
Choose Sparkbit if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Healthcare
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Algomine
Strengths
- The industrial engagement is documented as a two-year, two-workstream relationship covering legacy maintenance and greenfield platform work at the same time
- Vendor lock-in is treated as an architectural requirement, with the platform built to be model and vendor agnostic after the client's costs concentrated in one ecosystem
- Twenty published case studies with eleven naming the client, across banking, retail, pharmacy and precision manufacturing
Watch-outs
- The flagship multi-agent client is anonymized despite being identifiable from the description—ask for a speakable reference on it
- The studies explain architecture rather than reporting results; ask what the platform changed in cost, cycle time or adoption
- Named clients like PKO Bank Polski and Rossmann carry no described engagement—ask what was delivered for the two closest to your sector
Sparkbit
Strengths
- Model metrics are published with the stack: F1 0.72 to 0.86 at 5x5, about 0.85–0.95 F1 on key telematics perception functions, and ~8k concurrent users sustained with under 0.002% timeouts
- Five client executives are quoted by name and title—including 5x5 Technologies' CEO, Italist's CTO and Spicerr's CEO—four of them on the case study their quote refers to
- The services page lists what is handed over—repos, infrastructure-as-code, test suite, dashboards, runbooks and IP assignment—and the 5x5 study reports that handover took place
Watch-outs
- No founder or engineer is named anywhere on the site—ask who would lead your project and to see that person's prior ML work
- The Italist study lists GPT-4 while the index dates it 2020–2022 and files it under Health-tech—ask for the dates and scope of the LLM work specifically
- Outcomes such as "duplicates down" and "operational savings" carry no figures—ask each reference what the system changed in hours, cost or error rate
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.
Algomine
Rate: €45-85/hr
€21,600–€40,800
Sparkbit
Rate: €85-130/hr
€40,800–€62,400
At this scope the published midpoints are about €20,400 apart, with Algomine lower. Sparkbit publishes Healthcare work that Algomine does not — that is the one difference on this page that bears on the gap. If your brief does not touch it, the gap is buying something this comparison cannot see.
Frequently asked questions
- Which is cheaper, Algomine or Sparkbit?
- Algomine is cheaper by roughly 40% — €65/hr median vs €108/hr at Sparkbit. 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 Manufacturing experience, Algomine or Sparkbit?
- Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: Algomine and Sparkbit.
- Which scores higher overall, Algomine or Sparkbit?
- Both score equally well overall (64/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.
- Which is faster to engage, Algomine or Sparkbit?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Sparkbit runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Algomine 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 Algomine and Sparkbit?
- Consider running parallel discovery briefs with Algomine and Sparkbit 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.