Createting - AI Model Fine-Tuning & Hosting
New: Custom Model Fine-Tuning

Power your stack. With custom AI models.

In addition to our agentic platform, we offer fine‑tuning, setup and hosting for your models — usable inside our platform to power agents as well as for any external tasks. Power your stack with Createting.

Model Pipeline Active
~ % createting init --model "SOTA Model" --task fine-tune
Datasets analyzed and validated successfully.
Hardware resources allocated (Cluster: NVIDIA H100).
Optimizing weights... Epoch 4/10
[Status] Loss: 0.842 | Projected ETA: 12 mins...
Createting - Integration Path
Phase 2

Strategy & Architecture

We collaboratively define the exact blueprint. Evaluating parameters, curating datasets, and planning the infrastructure before training begins.

Core Use Cases

Defining the specific tasks.

Model Sizing

Finding the right balance between cost and capabilities.

Dataset Curation

Structuring your raw data.

Infrastructure

Allocating compute clusters.

Phase 3

Real-Time RL Layer

Continuous evolution out of the box. Instead of static deployments, we integrate an active, real-time reinforcement learning loop directly into your architecture.

Coming Soon

Zero-Latency Reinforcement Learning

Traditional RLHF takes weeks of manual data annotation. Our platform captures implicit human signals —every accepted task, or reverted action—as an reward. Powered by our Architecture, your custom models update their weights, adapting to your specific workflows.

1. Agent Generation

The model executes a task or generates a complex output.

2. Implicit Signal

Human actions (Accept / Edit / Reject) form a direct reward vector.

3. Model Update

Weights and prompting are adjusted in-session, evolving the model instantly.

Zero Annotation Overhead

Eliminate dedicated RLHF labeling teams. Normal operational usage of your product continuously shapes and trains the underlying model.

In-Session Adaptation

Just like the most advanced AI coding assistants, the model learns your specific architecture, codebase, and tone of voice without manual retraining cycles.

Createting - Start the Future

Stop renting generic intelligence.

Paying for expensive APIs that don't understand your specific tasks makes no sense. The future belongs to fast, cost-effective, and highly tailored models that truly represent your domain.

From Copilot
to Pilot.

Deploy agents that leave traditional systems behind. Leverage our Native Models that continuously learn, or host and train your custom models with us. Power your workflows inside our Agentic Platform or directly within your own architecture.

Start the future today.

Talk to our Team