Kili Technology provides annotation tools for building datasets to train, fine-tune, and evaluate AI models.
Synexa AI
Synexa AI deploys AI models through an API, with examples for image generation, video generation and image restoration.
About Synexa AI
Synexa AI is a web-based service for deploying AI models through an API. The homepage shows a single HTTP request to a predictions endpoint, authenticated with an API key, as the basic way to run a model. It lists examples for image generation, video generation and image restoration.
The homepage lists additional capabilities, including image captioning, model fine-tuning and speech generation, along with a model gallery that includes nano-banana-pro, hunyuan3d-2, veo3.1 and z-image-turbo. It describes automatic scaling that scales to zero when idle. It also states performance figures, a 99.9% uptime guarantee and a comparison of hourly A100 GPU rates with two other providers. These are the company's own claims and have not been verified here. The homepage does not state pricing for any plan. Email support is listed.
Key features
- Run hosted AI models through a REST API with one request
- Model gallery featuring image, video and 3D generation models
- Listed endpoints for image generation, restoration and captioning
- Model fine-tuning and speech generation listed as capabilities
- Automatic scaling, including scale to zero when idle
- Support for Python, JavaScript and REST API access
Best for: Developers who want to call hosted AI models from their own applications through an API.
Good for
- Deployment is described as possible with one line of code.
- Pay-for-use billing with scale to zero when idle is described on the homepage.
- SDKs for Python and JavaScript are offered alongside the REST API.
Synexa AI at a glance
- Website
- synexa.ai
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Synexa AI FAQ
How is the API accessed?
Requests are sent to the predictions endpoint with an API token passed in the x-api-key header, as shown in the homepage example.
What support is listed?
The homepage lists email support.
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