Company profile
OutThink
Live profile
Move from traditional security awareness to adaptive security with the world's first AI-native cybersecurity human risk management platform.
51-200
Seed ($10M)
Public pricing page
AI Classification
OutThink is an AI-native cybersecurity human risk management SaaS platform offering adaptive security awareness training, AI-powered phishing simulation, behavioral analytics, and human risk intelligence to enterprise organizations. They serve CISOs and security teams at large enterprises across banking, industrial, and technology sectors, and are recognized by Gartner Peer Insights as the top-rated security awareness solution for three consecutive years.
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OutThink is one of 2,671 B2B companies in the Kustiq directory.
OutThink sits among 35 msp / mssp companies in our Cybersecurity directory.
Similar profiles: Buffer, Innovators, Startup Genome, and BentoML.
Both sit in the 51-200 headcount band, and both are at Seed. See OutThink vs Buffer side by side.
Both sit in the 51-200 headcount band, and both are at Seed. See OutThink vs Innovators side by side.
Both sit in the 51-200 headcount band, and both are at Seed. See OutThink vs Startup Genome side by side.
How OutThink compares with other MSP/MSSP companies
OutThink is one of 35 MSP/MSSP companies profiled in the Kustiq Cybersecurity directory, which holds 72 Cybersecurity companies in total. Every number below is computed from those profiles.
OutThink sits in the 51-200 headcount band. 22% of the 32 segment peers with a known team size are smaller. 31% of those peers share the same band.
The most common tech detections across the 9 peers with a visible stack are Cloudflare (33%), WordPress (22%), and Next.js (11%). OutThink lists none of them.
Among the 17 segment companies with disclosed funding, Growth is the most common stage (29%). OutThink is at Seed.
The median founding year across 13 peers with a known founding date is 2015.
Westford is the most common HQ city in this segment, home to 17% of the 6 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 3 rendered pages of outthink.io 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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