jilebi vs AiGanak

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

jilebi compared with AiGanak
Detail	jilebi	AiGanak
What it does	Linux machines in the cloud for AI agents	AI systems engineering, language model research and cost optimization
Stage	Startup	Established
Founded	Not given	2021
Based in	Not given	IN
Pricing model	Paid	Not given
Pricing	CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.	Free tools: LLM Bill Analyzer, API pricing calculator, price alerts. LLM Cost Report: USD 149 (2 working days); Founding clients: USD 750. LLM Cost & Reliability Audit: USD 1,500 (5-7 working days). Sample report available free by email.
Key features	Launch machines in seconds Auto-sleep when not in use Wake up in milliseconds Dedicated CPU, memory and disk per instance Clone machines with same setup Automatic routing without IP configuration Standard tools support (docker, ssh) Share routes with selective access	LLM Bill Analyzer for usage export analysis API pricing calculator for OpenAI, Anthropic and Google models Multi-agent workflow automation on n8n and Make Prompt hardening against injection and token waste Private and on-premise LLM deployment Custom small and large language model development LLM Cost & Reliability Audit with log analysis Price change alerts for OpenAI, Anthropic and Google
What makes it different	Machines wake in milliseconds No special CLI required Fully isolated virtual sandbox for each machine No credit card required to start	Client retains ownership of all code, prompts, workflows and fine-tuned model weights Private and on-premise deployment option protecting enterprise data
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	4 no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	19	0
Referring domains (Majestic)	10	2

5 details filled in for both companies.

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