
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Lamini records 4,158 monthly visits with +0.3% month-over-month growth and Freemium, Contact for Pricing pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

Build and control custom LLMs with enterprise-grade accuracy
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | lamini.ai | scale.com |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 4.16K (4,158) | 616.92K (616,915) |
| MoM Traffic Delta | +12 (+0.3%) | +68.69K (+12.5%) |
| Primary Market & Share | 🇺🇸 United States (92.9%) | 🇺🇸 United States (44.2%) |
| Direct Visits / mo | 1.64K | 191.41K |
| User Rating | 4.3 | 4.7 |
| Supported Platforms | Website | Website |

Build and control custom LLMs with enterprise-grade accuracy
Train and fine-tune open large language models on your own domain data so output matches your vocabulary, formats and policies.
Tuned inference runtimes and grounding techniques aimed at cutting hallucinations and raising accuracy on domain-specific tasks.
Supports common enterprise patterns — retrieval-augmented generation, text-to-SQL, text classification and function calling.
Run training and inference workloads on AMD GPUs as an alternative GPU supply path for LLM workloads.
The data, evaluations and systems behind AI that has to be right.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.

Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models

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 backed by in-house systems research.
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 backed by in-house systems research.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control

Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
SpecialistBuild, test, and deploy production-grade voice AI agents over API

SpecialistHigh-trust frontier inference, encrypted end to end
SpecialistHigh-trust frontier inference, encrypted end to end

SpecialistUnrestricted, OpenAI-compatible LLM API governed by your own policies
SpecialistUnrestricted, OpenAI-compatible LLM API governed by your own policies

Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.