IN THE FIELD GUIDE
chai-research
chai-research.com
Creating personalized AI characters and stories for consumer engagement. Users can build their own AI characters and stories on the consumer platform. In-house trained large language models (LLMs) adapted for social and engagement purposes.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 10, 2026
A good fit for
- Users seeking a consumer AI platform to create personalized AI characters and stories.
Know the limitations
- Open-sourced LLMs were insufficient for user requirements, necessitating in-house model development.
- Scaling issues due to high user demand required additional GPU reservations and custom infrastructure.
What you can do
- Creating personalized AI characters and stories for consumer engagement.
Features
- Users can build their own AI characters and stories on the consumer platform.
- In-house trained large language models (LLMs) adapted for social and engagement purposes.
- Custom GPU orchestration and efficient inference systems to support large-scale user base.
- Model blending technology that ensembles different LLMs trained on different targets at the conversation level to improve user retention.
- Model Mesh, an in-house cluster orchestration platform to handle multi-cluster, multi-GPU-type serving of hundreds of LLMs in production.
Integrations
Not confirmed yet.
Platforms & data export
Not confirmed yet.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Users create AI characters and stories on the consumer platform.
Based on the sources below. Editorial review does not imply hands-on product testing.
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