Company profile
Swfinstitute
Live profile
www.swfinstitute.org. Incorporated in 2008, it was founded by Michael Maduell and shortly he brought in Carl Linaburg, who then left the organization in 2017.
51-200
Las Vegas, NV United States
Growth ($1B)
AI Classification
SWFI is an American financial data vendor founded in 2008 that tracks and analyzes sovereign wealth funds, pension funds, family offices, and other public institutional investors globally. It monetizes this coverage by selling research subscriptions, API/datafeed services, consulting, and events to asset managers, banks, governments, universities, and law firms.
Deep Intelligence
Account Scoring
- Growth — mature / stable
- Thin digital footprint
Similar Companies
Social Links
Competitors
Swfinstitute is one of 2,669 B2B companies in the Kustiq directory.
Swfinstitute sits among 41 data services companies in our Data & AI directory.
Similar profiles: Loom, Graphy, Acunetix, and The AI-Native SecOps Platform.
Both sit in the 51-200 headcount band, and both are at Growth. See Swfinstitute vs Loom side by side.
Both sit in the 51-200 headcount band, and both are at Growth. See Swfinstitute vs Graphy side by side.
Both sit in the 51-200 headcount band, and both are at Growth. See Swfinstitute vs Acunetix side by side.
How Swfinstitute compares with other Data Services companies
Swfinstitute is one of 41 Data Services companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
Swfinstitute sits in the 51-200 headcount band. 70% of the 27 segment peers with a known team size are smaller. 11% of those peers share the same band.
The most common tech detections across the 13 peers with a visible stack are Google Analytics (46%), Google Fonts (38%), and Cloudflare (38%). Swfinstitute lists none of them.
Among the 17 segment companies with disclosed funding, Growth is the most common stage (53%). Swfinstitute is at Growth.
The median founding year across 12 peers with a known founding date is 2014.
New York is the most common HQ city in this segment, home to 22% of the 9 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 swfinstitute.org 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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