Company profile
Heap
Live profile
Heap is a virtual-first company with employees around the globe, as well as collaborative workspaces in San Francisco, New York and London.
2013
201-500
Growth ($1M)
AI Classification
Heap is a digital product analytics platform that autocaptures all user interactions without manual instrumentation, providing session replay, funnel analysis, and behavioral segmentation. It serves product, data, and growth teams at mid-market to enterprise B2B SaaS and e-commerce companies.
Deep Intelligence
Account Scoring
- Growth — mature / stable
- Thin digital footprint
Similar Companies
Social Links
Competitors
Heap is one of 2,673 B2B companies in the Kustiq directory.
Heap sits among 37 analytics / bi companies in our Data & AI directory.
Similar profiles: Invicti, Akeneo, Apify, and Airbase.
Both sit in the 201-500 headcount band, and both are at Growth. See Heap vs Invicti side by side.
Both sit in the 201-500 headcount band, and both are at Growth. See Heap vs Akeneo side by side.
Both sit in the 201-500 headcount band, and Apify was founded in 2015, 2 years after Heap. See Heap vs Apify side by side.
How Heap compares with other Analytics/BI companies
Heap is one of 37 Analytics/BI companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
Heap sits in the 201-500 headcount band. 88% of the 24 segment peers with a known team size are smaller. 0% of those peers share the same band.
The most common tech detections across the 14 peers with a visible stack are Google Fonts (36%), Google Analytics (29%), and nginx (29%). Heap lists none of them.
Among the 14 segment companies with disclosed funding, Growth is the most common stage (50%). Heap is at Growth.
The median founding year across 8 peers with a known founding date is 2016. Heap was founded in 2013.
London is the most common HQ city in this segment, home to 18% of the 11 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 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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