Now onboarding enterprise clients

The AI that
thinks like you

Fine-tune, train, and deploy large language models on your private data — fully managed, domain-specialized, and production-ready from day one.

Start your project See how it works

200+ Models trained

98% Client satisfaction

40+ Enterprise clients

3× Avg. perf. gain

Trusted by AI teams at

Accenture DeepMind Palantir Scale AI Cohere Hugging Face

End-to-end model ownership

From raw data to production API — WOYOU AI handles every stage of custom LLM development so your team ships faster.

Domain Fine-Tuning

Adapt Llama 3, Mistral, Gemma 2, or GPT-4 to your domain, vocabulary, and reasoning style using SFT and RLHF. Outperform general-purpose models on your specific tasks — at a fraction of inference cost.

SFTRLHFLoRAQLoRADPO

Example: Legal LLM

Contract clause extraction +62% F1

Case outcome prediction +41% Acc

Citation accuracy +3.1× BLEU

Pre-training from Scratch

Build a fully proprietary transformer on your corpus. Custom tokenizer, architecture choices, and full IP ownership — no foundation model dependencies.

TransformerBPE TokenizerH100 Clusters

Data Pipeline & Curation

Transform raw documents, databases, and PDFs into high-quality training sets. Deduplication, PII scrubbing, quality scoring, and synthetic augmentation.

DedupPII RemovalSynthetic Data

Quantization & Speed

Cut inference cost by 60–80% via INT4/INT8 quantization, model pruning, speculative decoding, and flash-attention optimization — without quality loss.

GPTQAWQFlash Attn

Evaluation & Red-Teaming

Rigorous benchmarks, adversarial probing, hallucination audits, and safety evals aligned to your use case and regulatory requirements (HIPAA, SOC 2).

BenchmarksSafetyHallucination Audit

Deployment & API

Managed deployment on your cloud (AWS, GCP, Azure) or on-premise. OpenAI-compatible REST API, autoscaling, observability dashboards, and SLA-backed uptime.

vLLMTGIOn-PremiseMulti-Cloud

Works with every major model & framework

Llama 3.1 / 3.3 Mistral / Mixtral Gemma 2 Qwen 2.5 Command R+ Phi-3 / 4 DeepSeek V3 OpenAI Fine-tune API HuggingFace TRL vLLM LlamaFactory Axolotl PEFT / LoRA NVIDIA NeMo

200+

Custom models trained

98%

Client satisfaction rate

3×

Average performance lift

6 wks

Median time to production

From raw data to
deployed model

Structured, transparent, and collaborative — you stay in the loop at every stage.

Discovery & Data Audit

We assess your dataset quality, define success metrics, and align on model architecture. You receive a detailed scope document with fixed deliverables before work begins.
Data Preparation

Automated pipelines clean, deduplicate, and format your data. We handle private document parsing, schema normalization, quality scoring, and synthetic augmentation.
Training & Iteration

Distributed training on A100/H100 clusters with real-time dashboards. You get live loss curves, eval metrics, and a shared workspace for feedback across iteration cycles.
Deploy & Monitor

Production-grade inference deployment with autoscaling, latency monitoring, drift detection, and optional scheduled re-training pipelines to keep your model current.

Data streams flowing into a glowing AI processing core — visualizing the WOYOU AI training pipeline

Fixed scope. No GPU surprises.

Every engagement is a clear scope with defined deliverables, so you can plan your AI roadmap with confidence.

Starter

$4,900 /project

Best for teams validating a fine-tuned model on a focused task or dataset before committing to full production.

Up to 10 GB training data
LoRA / QLoRA fine-tuning
Benchmark evaluation report
Full model weights delivery
1 iteration cycle
No managed deployment

Start a project

Professional

$18,000 /project

Full fine-tuning with deployment, evaluation, and dedicated support — everything you need to go live.

Up to 100 GB training data
Full SFT + RLHF pipeline
Data curation & synthesis
API deployment · 90 days managed
3 iteration cycles
Dedicated ML engineer

Book a discovery call

Enterprise

Custom

Pre-training from scratch, on-premise air-gapped deployment, or a long-term embedded ML team within your org.

Unlimited data scale
Custom model architecture
On-premise / air-gapped infra
Full NDA + IP ownership
SLA + 24 / 7 dedicated support
SOC 2 Type II · HIPAA-aligned

What our clients say

"WOYOU fine-tuned our internal knowledge base into a model that outperforms GPT-4 on our legal document tasks — at a fraction of the inference cost."

"Their data curation pipeline cleaned 80 TB of clinical records into training-ready datasets. The resulting model passed our clinical validation benchmarks on first pass."

"From idea to production API in 6 weeks. WOYOU handled everything — data prep, training, quantization, and deployment. Remarkable speed without cutting corners."

Common questions

What base models can you fine-tune?

We support all major open-weight models — Llama 3 (8B through 405B), Mistral / Mixtral, Gemma 2, Qwen 2.5, DeepSeek V3, Phi-4, Command R+, and Falcon. For closed models, we fine-tune via the official OpenAI and Anthropic APIs. We can also build entirely custom architectures from scratch.

Who owns the model weights and training data?

You retain full ownership of your training data and resulting model weights. We sign an IP assignment agreement before any project begins. Your data is never used to train other clients' models and is deleted from our systems upon completion — or retained under NDA for scheduled re-training if you prefer.

How much training data do I need?

For instruction fine-tuning and style adaptation, 1,000–10,000 high-quality examples can produce strong results. Domain knowledge injection typically requires 50K–1M tokens. If your dataset is small, we offer synthetic data augmentation to expand it meaningfully before training.

How long does a typical project take?

Starter (LoRA fine-tune + evaluation): 1–2 weeks. Professional (data curation, training iterations, deployment): 4–8 weeks. Enterprise pre-training: scoped individually. We provide a detailed project timeline during the discovery phase, and fixed-scope agreements mean no timeline surprises.

Can you work with sensitive or regulated data?

Yes. We are SOC 2 Type II compliant and operate in HIPAA-aligned environments. For maximally sensitive data, we offer on-premise or air-gapped training where all compute and data stays within your infrastructure. VPC deployments on AWS, GCP, and Azure are also fully supported.

Ready to own your AI?

Book a 30-minute discovery call. We'll review your data, define the right approach, and provide a fixed-scope proposal — no obligation, no sales pressure.

Book a discovery call View pricing

The AI thatthinks like you