AI workspace

Build useful AI workflows without the noise.

NexGen AI brings chat with DeepSeek and Gemini, image generation, and dedicated AI servers into one straightforward workspace.

Built around the current product.
Chat, image generation, credit tracking, account controls, and rentable AI servers are all part of the application.
WorkspaceOne place for your AI work
Today
Agents3
Tokens42k
Runs18
I found three key themes across the uploaded documents.
Compare them and highlight the differences.
The main difference is the target audience. I can expand each section if useful.
The workspace

Simple enough to learn. Structured enough to ship.

Use the pieces you already have in the application, without a page full of competing controls.

01

Chat

Chat with DeepSeek or Gemini, generate images with Nano Banana, and see exactly what each request costs in credits.

See chat →
02

AI servers

Rent a dedicated server running a 14B or 35B model and call it from your own apps with your own API key.

Explore AI servers →
03

Document runs

Upload supported documents, compose prompts, and execute an AI run against the files.

View workflow →
A focused foundation

The interface gets out of the way.

NexGen's new visual direction uses hierarchy, spacing, and typography instead of gradients and visual noise. The product surface stays quiet so the AI work remains the focus.

Read the product overview
Pricing

Clear plans, clear limits.

The current application is configured with Starter, Professional, and Enterprise plans.

Starter

$49 /mo

Monthly credits · chat + images · email support

Choose Starter
Professional

$149 /mo

More monthly credits · chat + images · priority support

Choose Professional
Enterprise

Custom

Custom requirements and deployment conversations.

Talk to sales
Trust and clarity

No claims that the product cannot support.

Public copy is intentionally grounded in the current repository. Security, billing, and API documentation distinguish current capabilities from future work.

Security-minded

JWT authentication, rate limiting, security middleware, parameterized SQL, and Stripe verification are part of the current stack.

Provider-flexible

The backend includes adapters for multiple AI providers, with provider-specific model mappings kept server-side.

Operable

Health checks, migrations, Docker/Nginx deployment configuration, and setup documentation provide a path toward production operations.