Agency Comparison
Algomine vs deepsense.ai
Two top-rated AI Consulting agencies in Warsaw.
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 | deepsense.ai |
|---|---|---|
| Editorial score | 64/100 | 64/100 |
| Hourly rate | Lower published rate: €45-85/hr | €85-130/hr |
| Team size | 50-249 | 50-249 |
| Location | Warsaw, Poland | Warsaw, Poland |
| Founded | 2015 | 2014 |
| Last reviewed | More recent review: Sep 9, 2026 | Sep 7, 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 deepsense.ai
The published work is machine learning proper: a computer-vision system for WWF that mapped Poland's oxbow lakes using ResNet vectorization combined with location metadata, cutting a months-long manual process to hours, and a food-production quality system detecting topping defects and sauce smears at over 99% accuracy. The team is described as 120 AI specialists doing applied research, scientific publications and open-source work alongside client delivery, with leadership named and their…
Reviewed Sep 7, 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)
- disclosed specialization in E-commerce
Choose deepsense.ai if you need
- disclosed specialization in Healthcare
- an overall editorial score of 64/100
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
deepsense.ai
Strengths
- Technique is named rather than implied: ResNet vectorization with location metadata on the WWF mapping, neural visual detection at over 99% accuracy on the food line
- 120 AI specialists with published research and open-source contributions alongside delivery, and named leadership with checkable backgrounds
- Founded 2014, which in this market means a decade of machine-learning delivery predating the language-model wave
Watch-outs
- The strongest industrial outcomes are anonymized—ask for a speakable reference in your sector
- An LLM workshop sits among the published cases; separate the enablement engagements from the built systems when comparing
- €85–130/h is above the typical Polish band—confirm what a research-grade engagement costs against a scoped build
Service coverage
Both agencies cover the same services — on this axis there is nothing to separate them, so decide on the evidence behind the work rather than its labels.
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
deepsense.ai
Rate: €85-130/hr
€40,800–€62,400
At this scope the published midpoints are about €20,400 apart, with Algomine lower. deepsense.ai 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 deepsense.ai?
- Algomine is cheaper by roughly 40% — €65/hr median vs €108/hr at deepsense.ai. 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 FinTech experience, Algomine or deepsense.ai?
- Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: Algomine and deepsense.ai.
- Which scores higher overall, Algomine or deepsense.ai?
- Both score equally well overall (64/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.
- When should I consider both Algomine and deepsense.ai?
- Consider running parallel discovery briefs with Algomine and deepsense.ai 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.