Company profile
Fastio
Live profile
AI-powered storage workspaces where teams, clients, and agents can search, share, and automate business files.
Astro, Cloudflare +2
AI Classification
Fastio is an AI-powered business storage platform built by MediaFire that enables teams to search across documents, extract structured data, automate workflows, and share files via branded client portals with built-in e-signatures and append-only audit logging.
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Tech Stack
CDN
Fonts
Framework
Privacy
Similar Companies
Competitors
Fastio is one of 2,669 B2B companies in the Kustiq directory.
Fastio sits among 146 product-led companies in our SaaS directory.
Similar profiles: CellBlock FCS, Fireworks AI, Funnel, and Brand24.
How Fastio compares with other Product-Led companies
Fastio is one of 146 Product-Led companies profiled in the Kustiq SaaS directory, which holds 342 SaaS companies in total. Every number below is computed from those profiles.
The most common tech detections across the 51 peers with a visible stack are Cloudflare (51%), Google Analytics (25%), and Next.js (18%). Fastio runs Cloudflare.
Among the 59 segment companies with disclosed funding, Growth is the most common stage (54%).
The median founding year across 47 peers with a known founding date is 2015.
San Francisco is the most common HQ city in this segment, home to 14% of the 35 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 2 rendered pages of fast.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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