Lamini
Enterprise LLM platform for fine-tuning, inference and deployment that reduces hallucinations up to 95% via Memory Tuning.
Our Verdict
Worth evaluating when hallucination is the actual blocker for your LLM rollout.
Pros
- Memory Tuning reduces hallucinations measurably
- Enterprise deployment options including on-prem
- Focused on fine-tuning over API tricks
Cons
- Expensive enterprise pricing model
- Memory Tuning is proprietary — lock-in risk
- Smaller community vs Together or Fireworks
When to Use Lamini
Good fit if you need
- Fine-tuning LLMs on private enterprise data with exact accuracy
- Running deterministic model outputs for compliance-critical tasks
- Hosting private fine-tuned models on enterprise GPU infrastructure
- Eliminating hallucinations with memory-tuned Llama models
Pricing
Price wrong?Lamini Pricing
- Pricing Model
- usage
- Free Tier
- No
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Project Health
Health Score
3
1.0 years
N/A
6
N/A
Apache-2.0
Last checked: 2026-04-21
Lock-in Assessment
🔄 Thinking about migrating off Lamini?
Get an AI-drafted migration plan + a copy-paste email to Lamini support requesting a data export. Pick where you're moving to and tell us your context.
Looking for alternatives to Lamini?
Answer 4 quick questions — get an AI-ranked shortlist of tools that match your stack and requirements.
Open AI Tool FinderCommunity Discussion
Comments powered by Giscus (GitHub Discussions). You need a GitHub account to comment.