# Lamini vs Scale

Lamini enregistre 4 158 visites mensuelles avec une croissance mensuelle de +0,3 % et un modèle tarifaire Freemium, Tarifs sur demande. Scale enregistre 616 915 visites mensuelles avec une croissance de +12,5 % et un modèle tarifaire Tarifs sur demande.

| Métrique | [Lamini](https://openaitools.app/fr/tool/lamini) | [Scale](https://openaitools.app/fr/tool/scale) |
| :--- | :--- | :--- |
| URL du site web | https://lamini.ai | https://scale.com |
| Catégories | Large Language Models (LLMs), Outils de développement IA, AI Agent, Classificateur de texte par IA | Outils de développement IA, Large Language Models (LLMs), Modèles IA, AI Agent |
| Modèle tarifaire | Freemium, Tarifs sur demande | Tarifs sur demande |
| Visites mensuelles | 4 158 | 616 915 |
| Taux de croissance mensuel | +0,3 % | +12,5 % |
| Marché principal | États-Unis | États-Unis |
| Visites directes | 1 637 | 191 408 |
| Score d'avis | 4,3 | 4,7 |
| Nombre d'enregistrements | 1 | 3 |
| Plateformes prises en charge | Site web | Site web |

## Lamini

Lamini is an enterprise LLM platform for building, fine-tuning, controlling and deploying custom large language models. It targets teams that need their own accurate, private models rather than a generic API: you bring your data, fine-tune open models on the platform, and serve them with tuned runtimes designed to reduce hallucinations. It covers use cases like text-to-SQL, classification, RAG and function calling, and is known for running workloads on AMD GPUs.

**Tarifs et offres:** Freemium entry point with enterprise pricing available on request. Pricing is sales-led for scaled deployments; check the official Lamini site for the current free tier, plan details and enterprise terms.

- **Custom model fine-tuning:** Train and fine-tune open large language models on your own domain data so output matches your vocabulary, formats and policies.
- **Hallucination reduction:** Tuned inference runtimes and grounding techniques aimed at cutting hallucinations and raising accuracy on domain-specific tasks.
- **RAG, text-to-SQL and classification:** Supports common enterprise patterns — retrieval-augmented generation, text-to-SQL, text classification and function calling.
- **AMD GPU acceleration:** Run training and inference workloads on AMD GPUs as an alternative GPU supply path for LLM workloads.
- **Secure, controlled deployment:** Develop and serve models in an enterprise-oriented environment that keeps data and model control with your team.

**Forces:** Purpose-built for custom, high-accuracy LLMs rather than one-size-fits-all APIs; Explicit focus on reducing hallucinations and improving domain accuracy; Supports the enterprise staples: RAG, text-to-SQL, classification and function calling; AMD GPU workloads offer an alternative to single-vendor GPU supply

**Limites:** The marketed endpoints can be expensive at scale and pricing is sales-led, so you need a conversation to budget enterprise use; Deployment and fine-tuning workflows assume ML engineering skills, so it is not a no-code tool; You are tied into its ecosystem and runtimes for training and serving; Small teams without an existing data pipeline will find setup and data preparation heavy

[Profile (Markdown)](https://openaitools.app/fr/tool/lamini.md)

## Scale

Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.

**Tarifs et offres:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Forces:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limites:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

[Profile (Markdown)](https://openaitools.app/fr/tool/scale.md)

## Questions fréquentes

### Comment Lamini et Scale se comparent-ils en termes de trafic mensuel ?

Lamini enregistre 4 158 visites mensuelles, tandis que Scale enregistre 616 915. Les estimations de trafic décrivent la taille de l'audience, pas la qualité du produit.

### Comment leurs taux de croissance se comparent-ils ?

Lamini a un taux de croissance mensuel de +0,3 % ; Scale a +12,5 %.

### Comment les tarifs se comparent-ils ?

Lamini : Freemium, Tarifs sur demande. Freemium entry point with enterprise pricing available on request. Pricing is sales-led for scaled deployments; check the official Lamini site for the current free tier, plan details and enterprise terms. Scale : Tarifs sur demande. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## Alternatives

| # | Nom de l'outil | Visites mensuelles | Taux de croissance mensuel | Modèle tarifaire | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Gemma, modèles ouverts de Google](https://openaitools.app/fr/tool/gemma-open-models-by-google) | 4 900 914 | -13,5 % | Freemium, Payant | La famille de modèles d'IA ouverts et légers de Google | [.md](https://openaitools.app/fr/tool/gemma-open-models-by-google.md) |
| 2 | [Together AI](https://openaitools.app/fr/tool/together-ai) | 1 645 930 | +64,9 % | Freemium, Payant | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/fr/tool/together-ai.md) |
| 3 | [Roboflow](https://openaitools.app/fr/tool/roboflow) | 1 431 204 | +6,6 % | Freemium, Tarifs sur demande | Simplifie l'annotation des jeux de données de vision par ordinateur et l'entraînement de modèles, mais convient moins aux tâches textuelles générales par LLM. | [.md](https://openaitools.app/fr/tool/roboflow.md) |
| 4 | [OrcaRouter](https://openaitools.app/fr/tool/orcarouter) | 975 300 | -5,2 % | Freemium | OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI. | [.md](https://openaitools.app/fr/tool/orcarouter.md) |
| 5 | [Labelbox](https://openaitools.app/fr/tool/labelbox) | 762 803 | -22,8 % | Tarifs sur demande | Se concentre fortement sur l'étiquetage des données d'entreprise et la curation de données d'entraînement, tout comme l'activité principale d'annotation de Scale. | [.md](https://openaitools.app/fr/tool/labelbox.md) |
| 6 | [Vapi](https://openaitools.app/fr/tool/vapi) | 662 301 | -11,4 % | Freemium | Créez, testez et déployez des agents vocaux IA prêts pour la production via API | [.md](https://openaitools.app/fr/tool/vapi.md) |
| 7 | [BLACKBOX.AI](https://openaitools.app/fr/tool/blackbox-ai-1) | 622 975 | -27,2 % | Essai gratuit, Payant | Inférence de pointe hautement fiable, chiffrée de bout en bout | [.md](https://openaitools.app/fr/tool/blackbox-ai-1.md) |
| 8 | [Abliteration.ai](https://openaitools.app/fr/tool/abliteration-ai) | 522 766 | +23,9 % | Freemium, Payant, Tarifs sur demande | API de LLM sans restriction, compatible OpenAI, régie par vos propres politiques | [.md](https://openaitools.app/fr/tool/abliteration-ai.md) |
| 9 | [SuperAnnotate](https://openaitools.app/fr/tool/super-annotate) | 386 034 | +37,4 % | Essai gratuit, Tarifs sur demande | Fournit des outils d'annotation multimodale pour entreprises et de gestion des données, mais avec moins d'accent sur les équipes d'étiquetage gérées. | [.md](https://openaitools.app/fr/tool/super-annotate.md) |
| 10 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/fr/tool/prompts) | 315 624 | -80,2 % | Freemium, Tarifs sur demande, Gratuit | Suivez, évaluez et livrez modèles et agents d'IA dans un environnement connecté. | [.md](https://openaitools.app/fr/tool/prompts.md) |

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Source : https://openaitools.app/fr/compare/lamini-vs-scale

More Markdown: [Catégories](https://openaitools.app/fr/categories.md) · [Classements de trafic](https://openaitools.app/fr/rankings.md) · [llms.txt](https://openaitools.app/fr/llms.txt)