Optima vs Lilac

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

Optima compared with Lilac
Detail	Optima	Lilac
What it does	Build custom benchmarks to compare frontier models on performance, cost, and time efficiency for your specific tasks	Outcome verification for AI agents
Stage	Not given	MVP
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Not given	Not given
Pricing	Token usage for creating and running benchmarks at raw model cost. Rubric grading: $0.002 per criterion per model (standard judges) or $0.040 per criterion (premium judges), $0.10 on agentic tasks. Pairwise grading: $0.006 per match (standard, $0.150 premium), $0.015 per match on document tasks (sta	Not given
Key features	Custom benchmark builder with example-driven task creation Multiple evaluation types: Q&A, document analysis, agentic tasks, interactive conversations Run benchmarks across multiple frontier models simultaneously Cost and time per task metrics Standard and premium judge tiers for grading Rubric grading with custom criteria Deterministic objective grading No markup on model token costs	Determines if agents are serving user intents Verifies task completion Distinguishes between error-free runs and actual user satisfaction
What makes it different	Build benchmarks on your actual tasks and data instead of standardized tests Compare models across performance, cost, and time efficiency simultaneously Grading expertise from major AI evaluations	Verifies actual agent outcomes rather than just technical success
Community votes	0	0
DR (Domain Rating by Ahrefs)	85 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	28	0
Citation Flow (Majestic)	59	0
Referring domains (Majestic)	17353	0

3 details filled in for both companies.

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