Company profile
Planeks
Live profile
Our custom Python web development company models business logic in ... info@planeks.net. Proudly established in Ukraine. UK: +44 7384 852082 · USA: 917 ...
nginx
Software Company
AI Classification
PLANEKS is an offshore Python web development and staff augmentation company serving startups and SMEs globally. They deliver custom software, SaaS platforms, MVPs, and API integrations using Python/Django across e-commerce, FinTech, healthcare, and manufacturing verticals.
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Tech Stack
Infrastructure
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Notable Customers
Planeks is one of 2,669 B2B companies in the Kustiq directory.
Planeks sits among 78 outsourced services companies in our Professional Services directory.
Similar profiles: Betterworks, Amplitude, Genesys, and Hotnews.
How Planeks compares with other Outsourced Services companies
Planeks is one of 78 Outsourced Services companies profiled in the Kustiq ProfServ directory, which holds 159 ProfServ companies in total. Every number below is computed from those profiles.
The most common tech detections across the 30 peers with a visible stack are WordPress (40%), jQuery (30%), and Cloudflare (30%). Planeks lists none of them.
Among the 20 segment companies with disclosed funding, Growth is the most common stage (80%).
The median founding year across 20 peers with a known founding date is 2008.
Warsaw is the most common HQ city in this segment, home to 7% of the 28 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 1 rendered page of planeks.net and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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