Qorinx
GENERATIVE AI DEVELOPMENT

Generative AI development, from prototype to production pipeline.

Generative AI development by senior engineers - image and video generation pipelines, LLM features and custom models, built into your product with evaluation and cost control. From ComfyUI pipelines to fine-tuned models, shipped for one fixed price and yours on handoff.

TECHNOLOGIES WE WORK WITH
PythonPythonPyTorchPyTorchHugging FaceHugging FaceOpenAIOpenAINode.jsNode.js
ComfyUIStable DiffusionFLUXWanControlNetLoRA
Fixed price · your GPUs or cloud · code is yours

What we build

Image & video generation pipelines

Custom ComfyUI pipelines with Stable Diffusion, FLUX and Wan - on-brand visuals and video generated at scale and served as an API or batch job inside your product.

LLM features and AI agents

Retrieval, assistants and agents grounded in your data - built into your product with measured accuracy and cost control, not a slide-deck demo.

Custom models and fine-tuning

LoRAs and fine-tuned open models tuned to your domain and style - so the output is consistent, repeatable and unmistakably yours.

How a generative build works

From model choice to a pipeline you own.

SCOPE AND EVALUATE

We pick the models, set the quality bar, and evaluate on your real data - so you know what is achievable before the build.

BUILD THE PIPELINE

We wire the generation or retrieval pipeline - ControlNet, LoRAs, upscaling, guardrails - and expose it as a clean API your product calls.

SHIP AND MEASURE

Deployed on your GPUs or cloud, with monitoring on quality and cost - and the code, weights and documentation handed to you.

Common questions

What is generative AI development?

Building software that generates images, video, text or audio and wiring it into your product as a repeatable pipeline - not a person clicking around a web UI. It spans image and video pipelines, LLM features and custom fine-tuned models, all served through an API your product calls.

Can you build image and video generation pipelines?

Yes. We build custom ComfyUI pipelines with image models like Stable Diffusion, SDXL, FLUX, Pony, Illustrious and Qwen-Image, and video models like Wan, HunyuanVideo and LTX-Video - composed with ControlNet, LoRAs and upscaling and served as an API or batch job in your product.

Which AI models do you work with?

For generation: Stable Diffusion, SDXL, FLUX, Pony, Illustrious and Qwen-Image for images; Wan, HunyuanVideo and LTX-Video for video. For LLM features: Anthropic Claude, OpenAI and open models where data or cost demands it. We choose per use case, not per hype cycle.

Can you fine-tune or train custom models?

Yes. We train LoRAs and fine-tune open models on your data and style so the output is consistent and unmistakably yours, and we build the evaluation to prove the tuned model is actually better before it ships.

How much does a generative AI project cost?

One fixed price after a scoping call, based on the pipeline, the models and the quality bar it has to clear. No hourly billing and no open-ended research phase - and we set a monthly running-cost budget for GPUs and API usage with you as part of the design.

Where does it run, and who owns it?

On your own GPUs or a cloud account you control - your data stays yours and is never used to train anyone else's model without your explicit decision. The pipeline code, weights and documentation transfer to you on handover, with no lock-in.

HOW WE BUILD

How we build.

Tested on every build

Unit and feature tests with PHPUnit / Pest - standard, not an add-on.

GitHub Actions CI/CD

Automated tests and deploys on every push. No manual releases.

Senior code review

Every line reviewed by a senior engineer. No juniors on your budget.

You own everything

Full source code, infrastructure and documentation transfer on handoff.

Bring the use case. We build the pipeline.

Tell us what you want to generate - you get a fixed quote and a plan, not a research bill.