Lattice Ops vs hyperopt.dev

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

Lattice Ops compared with hyperopt.dev
Detail	Lattice Ops	hyperopt.dev
What it does	Agentic operations platform for digital marketing with automated workflows, knowledge bases, and predictive optimization	AutoML that just works. Keep training local.
Stage	MVP	MVP
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Free trial
Pricing	Agency plan: $5,000 per month (free during private beta for 10 agencies). Includes 368,000 credits per month, unlimited seats and clients. Free tools available without account or payment.	Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.
Key features	AI specialists with custom roles and knowledge bases Compartmentalized living RAG knowledge bases Visual workflow builder with triggers, nodes, and logic Predictive CRO test generation and simulation Multi-model orchestration across Anthropic, OpenAI, Google, and Groq Image and video generation from brand knowledge Chrome plugin to capture web content Per-run cost tracking and usage dashboard Workflow export and import as JSON	Python SDK for tuning suggestions Local model training with remote suggestions Supports classification and regression Included CPU demo workloads Efficient observation budget allocation Model ranking and selection Reference scheduler implementations HTTPS secure communication
What makes it different	Built specifically for marketing teams with first-class CRO, SEO, and content workflows Model-neutral platform supporting multiple LLM providers without vendor lock-in Knowledge that compounds and grows with use instead of resetting each session Cost transparency with per-run estimates and usage dashboards by model and user Full data ownership with compartmentalized storage and export capability	Trains locally, not on the service—your models and data stay on your computer Efficient tuning using only half the observation budget of full training Outperforms reference schedulers in benchmarks on diverse datasets Free beta with no billing or account costs
Community votes	0	0
DR (Domain Rating by Ahrefs)	10 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	3
Citation Flow (Majestic)	14	13
Referring domains (Majestic)	1	2

6 details filled in for both companies.

More alternatives to Lattice Ops More alternatives to hyperopt.dev