hyperopt.dev vs Interlok

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

hyperopt.dev compared with Interlok
Detail	hyperopt.dev	Interlok
What it does	AutoML that just works. Keep training local.	Lockout/tagout for AI agents: risky actions stop, a person decides, and a signed record proves it
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Free trial	Freemium
Pricing	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.	Free: risk scan, 100 approvals per month, offline verification. Approvals: $99/month, unlimited approvals. Gate: $799/month (includes Approvals). Evidence: from $18K/year. Regulated: from $40K/year.
Key features	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	Risk scan of agent reach, capabilities and consequences Policy-as-code for gating rules Shadow mode to preview holds before enforcement Human-in-the-loop approvals via console Cryptographically signed audit ledger Compliance framework packs Inference receipts for model calls GitHub merge check for agent-written PRs Directory sync with Okta or Microsoft Entra
What makes it different	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	Gates actions, not agents—routine calls pass through untouched Low published latency overhead: p50 8ms, p95 25ms for allowed verdicts
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	3	0
Citation Flow (Majestic)	13	0
Referring domains (Majestic)	2	0

5 details filled in for both companies.

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