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SiftServe vs Perseus Computing

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

SiftServe compared with Perseus Computing
DetailSiftServe logo SiftServePerseus Computing logo Perseus Computing
What it doesWeb infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge High-assurance infrastructure for AI agents
StageNot given Not given
FoundedNot given Not given
Based inAE US
Pricing modelFreemium Open source
PricingFree eight-week pilot including onboarding and model costs. Three paid plans after pilot: Pay as you go (self-serve, usage-based), Subscription (self-serve, monthly or annual flat fee), and Managed (done by company, pricing quoted per site). All plans quoted per individual site based on page count, Not given
Key features
  • AI agent rebuilds pages into semantic HTML, FAQs, and structured data
  • Vision pass captures facts locked inside images
  • Sifted pages use roughly 90% fewer tokens than originals
  • Served from edge, humans and search crawlers see original site unchanged
  • Before-and-after audit score for every page
  • Measures citations and AI referrals from sifted pages
  • Harpe: chooses what an AI agent reads under a token budget with consistent results
  • Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
  • Argus: append-only record that detects edits with cryptographic verification
  • No network code by default for local and disconnected use
  • MIT License with published code, benchmarks and raw results
What makes it different
  • Only AI agents see sifted pages; humans and Google crawlers see original site unchanged
  • Every claim traces 1:1 to original pages; AI never fabricates or adds content
  • 90% fewer tokens per page while carrying 37% more readable content
  • Human in the loop approval for every page before serving to agents
  • Measures results with before-and-after comparison on your traffic
  • Measured empirical validation across 6,111 questions outperforming full-context models
  • Zero plaintext on disk with encrypted vaults matching plaintext accuracy
  • 78.3% fewer tokens sent to the model with a 1,200-token budget per turn
  • Preserves conversational chronology and relational qualifiers under token budgets
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)22 +1 (up) since last check42 +1 (up) since last check
Trust Flow (Majestic)93
Citation Flow (Majestic)2724
Referring domains (Majestic)6162

5 details filled in for both companies.

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