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Jev Model vs Inteldo

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

Jev Model compared with Inteldo
DetailJev Model logo Jev ModelInteldo logo Inteldo
What it doesStructured AI decisions with probabilities for developers Eight specialized AI agents research your question in parallel and deliver one clear answer you can act on
StageNot given Startup
FoundedNot given 2024
Based inNot given SI
Pricing modelPaid Freemium
PricingStarter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase. Not given
Key features
  • Typed decision output with Choice, Score, and Noul question types
  • Probability and confidence results on every answer
  • Online playground for testing with unlimited runs
  • REST API and SDK integration
  • Multiple concurrent requests
  • Team workspaces and collaboration
  • Up to 8 typed questions per request
  • Fast decision latency around 120ms
  • Agent Skill for coding agents and LLM workflows
  • Support for English and Simplified Chinese
  • Eight parallel specialist agents analyzing different business data domains
  • Stripe and Google Ads revenue tracking with MRR and CAC analytics
  • Google Analytics 4 and Search Console traffic analysis
  • PostHog product analytics and funnel monitoring
  • Competitor website analysis and pricing extraction at scale
  • Real-time chat workspace with cited sources for all findings
  • OAuth secure, read-only data connections
  • Signal boards for ongoing metric monitoring
What makes it different
  • Structured output with defined answer space
  • Probability-backed decisions code can use directly
  • Multiple questions from one state in parallel
  • Developer control over business logic and actions
  • Designed to integrate into existing systems without replacement
  • Eight specialized agents work in parallel instead of a single chatbot
  • Every claim cited to live sources, not generated from training data
  • Bootstrapped with roadmap driven by customer needs, not investor targets
  • Data analyzed and discarded, never trained on models
Community votes00
DR (Domain Rating by Ahrefs)13 +1 (up) since last check35 −1 (down) since last check
Trust Flow (Majestic)019
Citation Flow (Majestic)2332
Referring domains (Majestic)5925

4 details filled in for both companies.

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