Custom Model Training

Your domain.
Your models.
Your control.

Specialised AI intelligence built by training frontier models on your proprietary data. From fine-tuning to full pre-training, hardened for enterprise scale and complete data sovereignty.

Explore the Stack
100+
Models in Production
25+
Base Models Supported
10+
AI Labs Co-Created
Training Stack

Customization from fine-tuning
to full pre-training.

Build, align, and evolve large models using proven methods hardened for scale, control, and reproducibility.

Extend foundational models with proprietary data.

Incorporate your organisation's knowledge directly into model weights. We build domain specialists that understand your terminology, reasoning patterns, and institutional logic from the ground up.

Supervised and full fine-tuning integrate expert knowledge directly into weights
LoRA, QLoRA, and adapters enable modular updates at scale
Multimodal alignment fuses text, code, vision, and structured data
Full pre-training on proprietary corpora for true domain specialization
Supervised Fine-Tuning
Domain knowledge into model weights
LoRA and QLoRA
Efficient modular updates at scale
Multimodal Alignment
Text, code, vision, and structured data unified
Full Pre-Training
Built from scratch on your proprietary corpora

Shape cognition with human and synthetic feedback.

Align model behaviour precisely to your organisational requirements. Enforce policies, constrain reasoning styles, and condition responses by role and operational context.

RLHF and DPO refine model judgment and preference alignment
Policy conditioning constrains reasoning to organisational parameters
Constitutional AI ensures consistent, compliant behaviour
Versioned checkpoints and drift alerts keep models audit-ready
RLHF
Reinforcement learning from human feedback
DPO
Direct preference optimization
Policy Conditioning
Role-based behaviour constraints
Audit Readiness
Drift detection and versioned checkpoints

Engineer for deterministic, high-throughput operation.

Compress models without sacrificing reasoning integrity. Optimise inference throughput to the limits of your hardware while maintaining predictable, low-latency performance.

Quantization, pruning, and distillation reduce model footprint significantly
Speculative decoding pushes throughput to hardware limits
Scheduling frameworks ensure predictable latency across distributed clusters
Quantization and Pruning
Compress without losing reasoning accuracy
Knowledge Distillation
Transfer reasoning to smaller, faster models
Speculative Decoding
Push inference to hardware performance limits
Latency Scheduling
Deterministic performance at enterprise scale

Close the loop between production and research.

Models are not static. We build continuous improvement pipelines that detect drift, incorporate live feedback, and expand coverage through synthetic data generation.

Drift detection identifies where reasoning degrades in production
Human-in-the-loop retraining continuously refines capability
Synthetic data generation expands coverage and hardens robustness
Drift Detection
Identify degradation in live production systems
Human-in-the-Loop
Continuous feedback and targeted retraining
Synthetic Data
Expand coverage and harden model robustness
Reward Modeling
Align performance to measurable business goals
Industries

Solving hard problems
across critical sectors.

Finance
Fraud Detection and Risk Modeling

Models trained on proprietary transaction data that detect anomalies and predict systemic risk invisible to general-purpose LLMs.

Healthcare
Clinical Intelligence

Domain-specialised models trained on medical literature and clinical notes that reason accurately over complex biomedical knowledge.

Government
Secure, Sovereign AI

On-premises or air-gapped deployments with full data sovereignty, conditioned to strict operational policies and security classifications.

Manufacturing
Industrial Process Intelligence

Models trained on sensor data and engineering specifications that predict failures, optimise throughput, and reduce downtime at scale.

Start Building

Tell us what you need.
We will build it.

Describe your domain, data, and objectives. Our team designs a training programme tailored to your requirements and responds within one business day.

What Happens Next
AI team reviews your requirements within one business day
Technical discovery call to scope dataset and objectives
Training proposal with timeline, milestones, and architecture
Training begins with regular checkpoints and performance reporting
Email
global@p47.ai
Response
Within 1 business day

Let us start building.

Submit your project details. Our training team will be in touch within one business day.

Sent to global@p47.ai. We respond within one business day.

Enquiry received.

Our AI training team will be in touch within one business day. Team P47.AI