Train. Fine-Tune. Deploy.
Custom-built AI models tailored to your business goals — from generative content to predictive insights. We optimize every model for accuracy, performance, and real-world adaptability.
Models, end to end
From data prep through deployment and monitoring — one team, one workflow.
Data Pipelines
Curate, clean, label, and version your data. Synthetic generation when ground truth is scarce.
Pretraining & Fine-Tuning
Adapter training, full-parameter tuning, RLHF, and DPO — chosen per task and budget.
Evaluation Suites
Custom evals that predict production quality — golden sets, regressions, A/B harnesses.
Optimization
Quantization, distillation, batching, and routing to cut latency and inference cost.
Deployment
Single-tenant or shared, your cloud or ours. CI/CD, canary rollouts, and safe rollbacks.
Monitoring & Drift
Live quality, latency, and drift dashboards with alerts when models start to wander.
Our model lifecycle
A repeatable workflow that's shipped over 80 production models.
Scope & Data
Define success metrics. Audit data. Build the eval set first — before any training.
Train
Iterate quickly across base models, training methods, and hyperparameters with full experiment tracking.
Evaluate
Hold-out evals, red-teaming, bias checks, and shadow-traffic comparisons.
Deploy & Monitor
Production rollout, online evals, drift alerts, and a continuous fine-tune loop.
Models we build
Language models that understand your jargon
Foundation models adapted to your terminology, format, and tone — from legal contracts to clinical notes.
- Adapter (LoRA / QLoRA) and full fine-tuning
- Instruction-tuned and chat-tuned variants
- Domain eval sets co-built with your subject experts
Forecasting, scoring, and classification at scale
Tabular and time-series models for churn, fraud, demand, risk — production-ready, with the eval rigor to back the numbers.
- Gradient boosting, deep tabular, and ensemble methods
- Calibrated probabilities and threshold optimization
- Explainability via SHAP and counterfactuals
Vision, audio, and document understanding
Models that read, see, and listen — from invoice extraction to support-call summarization.
- OCR + structured extraction with grounded confidence
- Speech-to-text with domain vocabulary
- Image classification, detection, and segmentation
"Apton's fine-tuned model beat our previous vendor by 22 points on accuracy at a third of the inference cost. Their eval discipline is what made the difference."Daniel R.Head of ML, Insurance Carrier
Foundation models & platforms
We work across the leading providers and open-weight ecosystems.
Model FAQs
Do we own the model weights?
Yes. For models we train or fine-tune for you, you own the weights, training data, and full deployment artifacts. No lock-in.
How much data do we need to fine-tune?
Depends on the task — instruction tuning often works with 500–2,000 high-quality examples. We help you bootstrap with synthetic data when needed.
What about privacy and PII?
We support PII redaction in pipelines, isolated training environments, on-prem deployment, and SOC 2 / HIPAA-compliant operations.
Can you take over an existing model project?
Yes. Many engagements start as a model rescue or eval rebuild. We meet your code where it is and improve from there.
Let's build a model that ships
Skip the science project — get something measurable in production.