Custom AI Engineering
Purpose-built AI systems from the ground up
Overview
Sometimes off-the-shelf AI isn't enough. When you need a custom model trained on your proprietary data, a specialized algorithm for your domain, or production-grade AI infrastructure built from scratch, we engineer it. End-to-end: data pipelines, model training, deployment, and ongoing optimization.
Capabilities
Fine-Tuning & Distillation
Customize open or closed models on your proprietary data for better accuracy, lower cost, or domain specialization.
Training Pipelines
Data collection, labeling, cleaning, and training infrastructure that scales with your needs.
Custom Architectures
When existing models don't fit, we design purpose-built architectures for your specific problem.
Production Deployment
Model serving, versioning, A/B testing, rollback, and monitoring — built like real software.
Use Cases
- Industry-specific language models
- Computer vision for specialized domains
- Proprietary recommendation systems
- Forecasting and prediction models
- Custom embeddings for search
- Real-time decision systems
Ideal For
- Companies with proprietary data as a moat
- Teams where off-the-shelf models fall short
- Regulated industries needing custom compliance
- Product companies building AI features
Frequently Asked Questions
Do we need millions of data points?
Not always. Fine-tuning can work with hundreds to thousands of examples. We help you determine the right approach for your data size.
How long does a custom model project take?
Typically 6–16 weeks from kickoff to production depending on complexity and data readiness.
Ready to Deploy Custom AI Engineering?
Book a free AI Deep Dive and we'll map Custom AI Engineering to your business needs, team capabilities, and budget.
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