---
title: "Model fine tuning platforms: Which brands are most popular in search?"
description: "Compare the platforms used to fine tune models. Share of Search among OpenAI, Together AI, Anyscale, Lamini and Predibase, the model fine tuning platforms Brandwave compares worldwide, using the same methodology, market, and reporting period. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time."
canonical: "https://gobrandwave.com/demand/global-en/categories/model-fine-tuning-platforms"
publisher: "Brandwave"
---

# Model fine tuning platforms: Which brands are most popular in search?

Compare the platforms used to fine tune models. Share of Search among OpenAI, Together AI, Anyscale, Lamini and Predibase, the model fine tuning platforms Brandwave compares worldwide, using the same methodology, market, and reporting period. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time.

## Key facts

- **Competitive set**: Model fine tuning platforms
- **Market**: Global
- **Brands compared**: 5
- **Month measured**: Aug 2026
- **Highest Share of Search**: OpenAI, 98.4%

## Which brand is most popular in search among model fine tuning platforms worldwide?

- In August 2026, OpenAI was the most searched among model fine tuning platforms worldwide, with an estimated 5M branded searches and 98.4% estimated Share of Search within this set.
- Together AI is in 2nd place, 97.1 percentage points behind at 1.3% Share of Search.
- Across the 11 months ending August 2026, OpenAI’s estimated Share of Search among model fine tuning platforms worldwide decreased from 99.4% to 98.4%.
- Across the 11 months ending August 2026, Together AI’s estimated Share of Search among model fine tuning platforms worldwide increased from 0.39% to 1.3%.
- Across the 11 months ending August 2026, OpenAI’s estimated Share of Search among model fine tuning platforms worldwide peaked at 99.6% in December 2025 and was lowest at 98.3% in July 2026.
- Across the 11 months ending August 2026, Anyscale, Lamini and Predibase held steady: their estimated Share of Search among model fine tuning platforms worldwide each moved less than 0.5 percentage points.

## How did search popularity change for model fine tuning platforms worldwide in August 2026?

- Together AI’s estimated Share of Search among model fine tuning platforms worldwide has gained ground for 3 months in a row, from 0.7% to 1.3% in August 2026.
- Estimated monthly branded searches for Predibase worldwide fell 55% over 11 measured months, from 1.6K to 720 in August 2026.
- Estimated monthly branded searches for OpenAI worldwide fell 45.3% over 11 measured months, from 9.1M to 5M in August 2026.

## Share of Search ranking

| Rank | Brand | Share of Search | Estimated monthly branded searches | Change vs prior month | Owned by |
| --- | --- | --- | --- | --- | --- |
| 1 | OpenAI | 98.4% | 5M | 0.0% | OpenAI |
| 2 | Together AI | 1.3% | 64.1K | 0.0% | Together AI |
| 3 | Anyscale | 0.19% | 9.9K | 0.0% | Anyscale |
| 4 | Lamini | 0.16% | 8.1K | -18.2% | Lamini |
| 5 | Predibase | 0.01% | 720 | -28.0% | Predibase |

## Historical estimated branded-search demand

| Month | Brand | Estimated monthly branded searches | Share of Search | Rank |
| --- | --- | --- | --- | --- |
| Oct 2025 | OpenAI | 9.1M | 99.4% | 1 |
| Oct 2025 | Together AI | 36K | 0.39% | 2 |
| Oct 2025 | Anyscale | 9.9K | 0.11% | 3 |
| Oct 2025 | Lamini | 8.1K | 0.09% | 4 |
| Oct 2025 | Predibase | 1.6K | 0.02% | 5 |
| Nov 2025 | OpenAI | 9.1M | 99.4% | 1 |
| Nov 2025 | Together AI | 36K | 0.39% | 2 |
| Nov 2025 | Anyscale | 8.1K | 0.09% | 3 |
| Nov 2025 | Lamini | 6.6K | 0.07% | 4 |
| Nov 2025 | Predibase | 1.3K | 0.01% | 5 |
| Dec 2025 | OpenAI | 11.1M | 99.6% | 1 |
| Dec 2025 | Together AI | 35.5K | 0.32% | 2 |
| Dec 2025 | Anyscale | 6.6K | 0.06% | 3 |
| Dec 2025 | Lamini | 6.6K | 0.06% | 4 |
| Dec 2025 | Predibase | 1K | <0.01% | 5 |
| Jan 2026 | OpenAI | 6.1M | 99% | 1 |
| Jan 2026 | Together AI | 43.4K | 0.7% | 2 |
| Jan 2026 | Anyscale | 8.1K | 0.13% | 3 |
| Jan 2026 | Lamini | 8.1K | 0.13% | 4 |
| Jan 2026 | Predibase | 1K | 0.02% | 5 |
| Feb 2026 | OpenAI | 6.1M | 99% | 1 |
| Feb 2026 | Together AI | 43.4K | 0.7% | 2 |
| Feb 2026 | Anyscale | 8.1K | 0.13% | 3 |
| Feb 2026 | Lamini | 6.6K | 0.11% | 4 |
| Feb 2026 | Predibase | 880 | 0.01% | 5 |
| Mar 2026 | OpenAI | 13.6M | 99.4% | 1 |
| Mar 2026 | Together AI | 64.1K | 0.47% | 2 |
| Mar 2026 | Lamini | 12.1K | 0.09% | 3 |
| Mar 2026 | Anyscale | 8.1K | 0.06% | 4 |
| Mar 2026 | Predibase | 1K | <0.01% | 5 |
| Apr 2026 | OpenAI | 7.5M | 98.9% | 1 |
| Apr 2026 | Together AI | 64.1K | 0.85% | 2 |
| Apr 2026 | Lamini | 8.1K | 0.11% | 3 |
| Apr 2026 | Anyscale | 6.6K | 0.09% | 4 |
| Apr 2026 | Predibase | 1K | 0.01% | 5 |
| May 2026 | OpenAI | 7.5M | 99.1% | 1 |
| May 2026 | Together AI | 53.1K | 0.7% | 2 |
| May 2026 | Lamini | 8.1K | 0.11% | 3 |
| May 2026 | Anyscale | 6.6K | 0.09% | 4 |
| May 2026 | Predibase | 880 | 0.01% | 5 |
| Jun 2026 | OpenAI | 5M | 98.4% | 1 |
| Jun 2026 | Together AI | 63.4K | 1.2% | 2 |
| Jun 2026 | Anyscale | 8.1K | 0.16% | 3 |
| Jun 2026 | Lamini | 8.1K | 0.16% | 4 |
| Jun 2026 | Predibase | 1K | 0.02% | 5 |
| Jul 2026 | OpenAI | 5M | 98.3% | 1 |
| Jul 2026 | Together AI | 64.1K | 1.3% | 2 |
| Jul 2026 | Anyscale | 9.9K | 0.19% | 3 |
| Jul 2026 | Lamini | 9.9K | 0.19% | 4 |
| Jul 2026 | Predibase | 1K | 0.02% | 5 |
| Aug 2026 | OpenAI | 5M | 98.4% | 1 |
| Aug 2026 | Together AI | 64.1K | 1.3% | 2 |
| Aug 2026 | Anyscale | 9.9K | 0.19% | 3 |
| Aug 2026 | Lamini | 8.1K | 0.16% | 4 |
| Aug 2026 | Predibase | 720 | 0.01% | 5 |
| Sep 2026 | Anyscale | — | — | — |
| Sep 2026 | Lamini | — | — | — |
| Sep 2026 | OpenAI | — | — | — |
| Sep 2026 | Predibase | — | — | — |
| Sep 2026 | Together AI | — | — | — |

## What is being compared

- **Anyscale**: Measured on the search term “anyscale”.
- **Lamini**: Measured on the search term “lamini”.
- **OpenAI**: Measured on the search term “openai”.
- **Predibase**: Measured on the search term “predibase”.
- **Together AI**: Measured on the search terms “together ai” and “togetherai”, summed into one figure.

- [Anyscale](/demand/global-en/brands/anyscale)
- [Lamini](/demand/global-en/brands/lamini)
- [OpenAI](/demand/global-en/brands/openai)
- [Predibase](/demand/global-en/brands/predibase)
- [Together AI](/demand/global-en/brands/together-ai)

## Methodology

- [How is branded search demand measured?](/demand/methodology): Where the figures come from, what they compare, and how they may be reused.

## Frequently asked questions

### Which brand is most popular in search among model fine tuning platforms worldwide?

In August 2026, OpenAI was the most searched among model fine tuning platforms worldwide, with an estimated 5M branded searches and 98.4% estimated Share of Search within this set. These are worldwide searches for English-language branded terms.

## Cite this page

Brandwave. "Model fine tuning platforms: Which brands are most popular in search?". https://gobrandwave.com/demand/global-en/categories/model-fine-tuning-platforms

This page is also available as HTML at https://gobrandwave.com/demand/global-en/categories/model-fine-tuning-platforms. Brandwave publishes an index of its Markdown pages at https://gobrandwave.com/llms.txt.