Createnano Product

Neural
Engine

A custom model development platform for teams that need production-grade AI — not demos. Fine-tuned LLMs, RAG pipelines, CNNs, and hybrid architectures built to your exact specification.

What we build

Every layer of the model lifecycle,
handled end to end.

LLM Fine-tuning

Fine-tune state-of-the-art large language models on your proprietary data using PEFT, LoRA, and QLoRA techniques for production-grade performance.

RAG Pipelines

Build retrieval-augmented generation systems that connect your knowledge bases to powerful language models with semantic search and reranking.

CNN & Vision Models

Train convolutional and transformer-based vision models for object detection, segmentation, classification, and anomaly detection.

Experiment Tracking

Every training run is tracked, versioned, and reproducible. Full experiment history with metrics, hyperparameters, and dataset snapshots.

Evaluation & Benchmarking

Rigorous model evaluation against industry benchmarks and custom test sets. No model ships without documented performance characteristics.

Production-Ready Output

Models are delivered with inference code, optimization (quantization, pruning), API wrappers, and deployment documentation.

Architectures

We build across the full stack of modern AI architectures.

We select the right architecture for your problem — not the trending one. Every choice is documented and justified.

Discuss your use case
Transformer (GPT-style)BERT / RoBERTaLLaMA / Mistral fine-tunesCNN (ResNet, EfficientNet)Vision Transformer (ViT)YOLO (object detection)Diffusion modelsHybrid architectures
How it works

From problem to production.

01

Problem Definition

We analyze your use case, data, and success metrics. We define exactly what the model must do and how it will be evaluated.

02

Data Engineering

We clean, label, augment, and pipeline your data. Good data is the foundation — we never skip this step.

03

Architecture Design

We select or design the right architecture for your problem. We document the rationale for every major decision.

04

Training & Iteration

We train in cycles with regular check-ins. You see metrics and sample outputs every week, not just at the end.

05

Evaluation

Every model is stress-tested, edge-case tested, and benchmarked before delivery.

06

Delivery & Handoff

You receive production-ready code, documentation, and a handoff session. Optional ongoing support available.

Have a model in mind?

Tell us what you're building. We'll respond within 24 hours with honest thoughts on feasibility and approach.

Start a project