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Lamini
An enterprise platform to run, fine-tune, and train models on the customer's data, including private or air-gapped environments, on AMD or NVIDIA GPUs.
Software teams that want to customize open models on proprietary data and keep training inside their own environment.
Buyers that want a closed frontier-model API only, or a labeling tool with no training stack.
Verdict
Consider Lamini when you want to run, fine-tune, and train models on your own data, including in a private or air-gapped environment. The platform is sold for AMD or NVIDIA GPUs.
Disclosed funding is $25 million across seed and Series A, announced May 2, 2024.
Score Breakdown
How Lamini scores on the jobs buyers hire it for, and on the company and commercial side of the deal.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Fine-tune open models on private data | Strong | The product job. |
| Air-gapped or private GPU environments | Strong | A published deployment claim. |
| Closed frontier-model API | Weak | A different buy. |
| Labeling without training | Weak | A different data tool. |
Methodology
This page is an independent evaluation of Lamini for buyers comparing options in fine-tuning & custom models. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Lamini did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for fine-tuning & custom models)
- Fine-tune on customer data
- Private and air-gapped fit
- AMD and NVIDIA GPU support
- Public evidence
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Lamini is graded here as fine-tuning & custom models. Criteria scores can move as more review volume and product checks are added.