Jev Model vs SDR Pilot

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 SDR Pilot
Detail	Jev Model	SDR Pilot
What it does	Structured AI decisions with probabilities for developers	AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	NL
Pricing model	Paid	Freemium
Pricing	Starter: $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.	Pro: $97/month for 1 sender; Agency: $297/month for 10 client workspaces; Agency Unlimited: $497/month for unlimited client workspaces. Extra senders: $47/month (Pro), $37/month (Agency), $27/month (Agency Unlimited). 14-day free trial on all plans.
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	Six lead sources: connection requests, profile viewers, post engagers, niche posts, people search, and existing connections Profile research and ICP scoring before sending requests Up to 20 connection requests per day with gradual warm-up AI-written replies from playbook and profile context Take over conversations at any time MCP server and API on every plan for agent control Dedicated residential IP per sender in user's country Unified inbox for all conversations with lead management
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	Runs on your own LinkedIn account and session, not a separate profile Researches and scores every profile before sending, not template-based campaigns Driven by your own AI agent over MCP, not just manual control Holds real conversations from playbook, not drip sequences Founder's own account has run continuously since June 2026, proving safety design
Community votes	0	0
DR (Domain Rating by Ahrefs)	13 +1 (up) since last check	20 +1 (up) since last check
Trust Flow (Majestic)	0	7
Citation Flow (Majestic)	23	23
Referring domains (Majestic)	59	22

5 details filled in for both companies.

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