# Lamini Segundo a telemetria do OpenAITools.app verificada em 2026-11-11, Lamini (lamini.ai) é uma plataforma de IA indexada em Large Language Models (LLMs) que gera 4,16 mil visitas mensais com variação de tráfego mês a mês de +12 (+0,3%). Seu principal mercado geográfico é Estados Unidos (92,9% de participação no tráfego) e opera com modelo de preços Freemium, Preço sob consulta. As principais alternativas concorrentes por volume mensal incluem Gemma, modelos abertos do Google (4,9 mi visitas/mês), Aleph Alpha (175,07 mil visitas/mês), Scale (616,92 mil visitas/mês). 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. ## Principais dados de telemetria e especificações | Métrica | Valor | | :--- | :--- | | Nome da ferramenta | Lamini | | Handle | lamini | | Status | active | | Origin | independent | | Maintenance | active | | Domínio oficial | lamini.ai | | URL do site | https://lamini.ai | | Categorias | Large Language Models (LLMs), Ferramentas de desenvolvimento com IA, AI Agent, Classificador de texto com IA | | Modelo de preços | Freemium, Preço sob consulta | | Visitas mensais | 4.158 | | Variação de tráfego mensal | 12 | | Taxa de crescimento mensal | +0,3% | | Mercado principal | Estados Unidos | | Participação de mercado | 92,9% | | Visitas diretas | 1.637 | | Visitas de busca orgânica | — | | Visitas sociais | — | | Visitas de referência | 425 | | Visitas por e-mail | 148 | | Nota de avaliação | 4,3 | | Contagem de favoritos | 1 | | Plataformas suportadas | Site | | Plataformas de cobrança | | | Atributos | Recursos: Site; Preços: Freemium; Preços: Preço sob consulta | | Tags | Plataforma de LLM, Ajuste fino, Redução de alucinações, RAG (geração aumentada por recuperação), Texto para SQL, Classificação, Chamada de funções, Implantação segura de LLM, GPUs AMD, Agentes de IA | ## Visão geral 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. ## Preços e planos 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. ## Principais recursos e capacidades - **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. ## Principais casos de uso - **Private domain LLM (Enterprise AI team):** Fine-tune an open LLM on internal documents and serve it privately so answers stay accurate and data never leaves your control. - **RAG and text-to-SQL (Data platform engineer):** Run retrieval-augmented generation and text-to-SQL over your own databases to power internal analytics assistants with fewer hallucinations. - **Classification and tool calling (ML engineer):** Train classification and function-calling models on labelled business data for routing, tagging and automation tasks. - **GPU supply flexibility (Infrastructure lead):** Run fine-tuning and inference on AMD GPUs to diversify hardware supply and control infrastructure costs. ## Pontos fortes - 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 - Emphasis on private, controlled deployment suits data-sensitive organisations ## Limitações - 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 - Feature specifics and current documentation should be verified directly on the site, since third-party descriptions go stale quickly ## Perguntas frequentes ### What is Lamini? Lamini is an enterprise platform for developing and controlling custom large language models. Teams use it to fine-tune and deploy their own accurate, private LLMs rather than relying only on a general-purpose hosted model. ### Who is Lamini for? It is aimed at enterprises and engineering teams that need models trained on their own data with higher accuracy and control, including use cases such as text-to-SQL, classification, RAG pipelines and function calling. ### How does it reduce hallucinations? Lamini combines fine-tuning on your own data with tuned inference runtimes. The core claim is that grounding the model in your data and running it efficiently cuts down hallucinations and improves accuracy on domain tasks. ### What hardware does it use? Lamini is known for running LLM training and inference workloads on AMD GPUs, which is relevant if you want an alternative to GPU supply from a single vendor. ### How much does it cost? Lamini markets itself with a freemium entry point and enterprise pricing on request. The public site is the authoritative source for current plans and costs, so check there for the latest figures. ### Can I deploy models privately? Yes — the platform is designed so that enterprises can deploy and control their own models rather than sending all inference to a third-party API, which matters for data privacy and governance. ### Qual é o tráfego mensal e a tendência de crescimento de Lamini? Lamini recebe atualmente 4,16 mil visitas mensais, com variação de tráfego mês a mês de +12 (taxa de crescimento de +0,3%). Seu principal mercado de origem é Estados Unidos (92,9% de participação), incluindo 1,64 mil visitas diretas/mês e — visitas de busca orgânica/mês. ### O Lamini é gratuito? Qual é o seu modelo de preços? Lamini opera com um modelo de preços Freemium, Preço sob consulta. 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. As plataformas de cobrança e checkout suportadas incluem: não listado. ### Quais são as melhores alternativas de Lamini em 2026? Com base no tráfego das categorias e na adequação de recursos do OpenAITools.app, as cinco principais alternativas a Lamini são: 1. Gemma, modelos abertos do Google (4,9 mi visitas/mês); 2. Aleph Alpha (175,07 mil visitas/mês); 3. Scale (616,92 mil visitas/mês); 4. Together AI (1,65 mi visitas/mês); 5. Abliteration.ai (522,77 mil visitas/mês). ### Quais plataformas e principais capacidades de IA o Lamini suporta? Lamini está classificado em Large Language Models (LLMs), Ferramentas de desenvolvimento com IA, AI Agent, Classificador de texto com IA, suporta as seguintes plataformas: Site, e suas principais tags de capacidade incluem: Plataforma de LLM, Ajuste fino, Redução de alucinações, RAG (geração aumentada por recuperação), Texto para SQL, Classificação. ## Alternativas | Nome da ferramenta | Visitas mensais | Modelo de preços | Comparar | | :--- | :--- | :--- | :--- | | [Gemma, modelos abertos do Google](https://openaitools.app/pt/tool/gemma-open-models-by-google) | 4.900.914 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/gemma-open-models-by-google-vs-lamini) | | [Aleph Alpha](https://openaitools.app/pt/tool/aleph-alpha-com) | 175.069 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/aleph-alpha-com-vs-lamini) | | [Scale](https://openaitools.app/pt/tool/scale) | 616.915 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/lamini-vs-scale) | | [Together AI](https://openaitools.app/pt/tool/together-ai) | 1.645.930 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/lamini-vs-together-ai) | | [Abliteration.ai](https://openaitools.app/pt/tool/abliteration-ai) | 522.766 | Freemium, Pago, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/abliteration-ai-vs-lamini) | | [Portkey](https://openaitools.app/pt/tool/portkey-ai) | 195.650 | Freemium, Pago, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/lamini-vs-portkey-ai) | | [RightNow Inference (RunInfra)](https://openaitools.app/pt/tool/runinfra) | 18.110 | Teste gratuito, Pago, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/lamini-vs-runinfra) | | [OrcaRouter](https://openaitools.app/pt/tool/orcarouter) | 975.300 | Freemium | [Comparar](https://openaitools.app/pt/compare/lamini-vs-orcarouter) | | [Prem](https://openaitools.app/pt/tool/prem) | 45.892 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/lamini-vs-prem) | | [BLACKBOX.AI](https://openaitools.app/pt/tool/blackbox-ai-1) | 622.975 | Teste gratuito, Pago | [Comparar](https://openaitools.app/pt/compare/blackbox-ai-1-vs-lamini) | | [LangWatch](https://openaitools.app/pt/tool/langwatch) | 52.098 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/lamini-vs-langwatch) | | [Vapi](https://openaitools.app/pt/tool/vapi) | 662.301 | Freemium | [Comparar](https://openaitools.app/pt/compare/lamini-vs-vapi) | --- Fonte: https://openaitools.app/pt/tool/lamini