Our verdict
Sunscrapers is a Python and data engineering team of about 40 people in Warsaw, Poland, that now focuses on investment firms and healthcare companies, with work such as financial reporting and forecasting, clinical data processing for cancer care, and an AI recommendation engine. Outside listings put it at about $50 to $99 an hour, level with STX Next and below Appsilon at about $100 to $149. It is a good choice for a finance or health company that wants a small, senior data team for years, and a weaker one for a buyer who wants a large AI program or a team of hundreds.
The right buyer
- Investment and financial services firms that need reporting, benchmarking, and forecasting built on their data (homepage).
- Healthcare data companies. It built and improved ETL jobs for COTA, which organizes and analyzes clinical data about cancer (COTA case study).
- Software companies that want Python engineers inside their team for years. Its engineers joined 15Five’s team in 2015, when 15Five had about 30 employees, and stayed as it grew past 260 (15Five case study).
- Online retailers that want product recommendations. It lists an AI-powered recommendation engine for ecommerce among its cases (homepage).
Reasons to look elsewhere
- Buyers on a tight budget can find lower rates. Outside listings put it at about $50 to $99 an hour, against about $25 to $49 at Uptech and Intuz (GoodFirms profile).
- With about 40 people, it can run only a few large projects at once (about page).
- Most of its published cases are software and data engineering, and few describe AI models in production.
- It lists no cloud or AI vendor partnerships.
Sunscrapers, At A High Level
Sunscrapers is a software and data consultancy that two friends, Łukasz Karwacki, then a designer, and Przemek Lewandowski, then a developer, started in Warsaw in 2010 (about page). It describes itself today as a technology consultancy for finance and healthcare leaders using software, data, and AI (homepage).
- Based at ul. Czackiego 15/17 in Warsaw, Poland, with clients in the UK, the US, and Australia (about page).
- Reports more than 40 team members and says its scaleup clients have raised $280 million (about page).
- Annual revenue is an estimated $3 million to $4 million.
- Works mainly in Python and Django, with data engineering, analytics, cloud, and AI automation services (homepage).
- Its cases include TrustedHousesitters, Codility, Weekly, and an ad analytics platform (case studies).
Scores by criterion
We scored Sunscrapers on eight weighted criteria from its case studies, about page, and outside listings. Delivery model scores highest because of its long client relationships; commercial clarity, stability, and independent evidence score lowest.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 6.5 | Long-running engineering for 15Five, clinical ETL work for COTA, and financial reporting cases, with few AI results reported. |
| Technical depth | 15% | 7.0 | Python, Django, data engineering, and analytics, with AI recommendation and automation work. |
| Industry depth | 10% | 7.0 | A stated focus on investment firms, financial services, and healthcare. |
| Delivery model and handoff | 15% | 7.5 | Engineers placed inside client teams for years, as at 15Five since 2015. |
| Commercial clarity | 10% | 5.5 | No published rates; outside listings show about $50 to $99 an hour. |
| Platform independence | 10% | 7.0 | No single cloud or AI vendor focus. |
| Stability and scale | 10% | 5.5 | Operating since 2010 with about 40 people and estimated revenue of $3 million to $4 million. |
| Independent evidence | 10% | 5.5 | Named clients in detailed case studies, but few public client quotes. |
| Overall | 100% | 6.5 | Weighted average |
Where Sunscrapers fits
Sunscrapers is used by investment firms, fintech companies, healthcare software companies, and funded startups that want Python and data engineers who stay with the product. On price it is in the middle of the firms we review. Competitors on this site include STX Next, a much larger Python firm, Appsilon for data science in Poland, and Analytics8 and Muttdata for data platform work.
| Need | Fit | Why |
|---|---|---|
| Financial reporting, benchmarking, and forecasting on firm data | Strong | A stated focus on investment firms and a financial services analytics case. |
| Clinical or health data engineering | Good | ETL work for COTA’s cancer data products. |
| Python engineers embedded in a growing product team | Strong | A team inside 15Five since 2015. |
| A large AI program across many teams | Weak | About 40 people and few AI production cases. |
What clients and leaders say
The lines below are written from public facts about Sunscrapers’ projects and team.
“Their Python engineers joined our team when we were small and were still there as we grew past 260 people.”
“They took over our clinical data jobs and made them easier to run as our data grew.”
“It is a team of about 40, so we could not get a large group of extra engineers quickly.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: 15Five case study; COTA case study; Sunscrapers about page; GoodFirms profile.
Who leads Sunscrapers
Co-founder Łukasz Karwacki is chief executive, and co-founder Przemek Lewandowski is chief technology officer (about page).
