AI & Machine Learning

Custom models, LLMs, and MLOps for production

From discovery to deployment: ML models, LLM integrations, and MLOps so intelligent features are measurable and maintainable.

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What We Do

Custom machine learning model development

Large language model (LLM) integration

Computer vision solutions

Natural language processing (NLP)

MLOps and model deployment

AI consulting and strategy

Our Approach

1

Use Case Definition

Align AI opportunities with business goals and data reality.

2

Data Preparation

Collection, cleaning, labeling, and feature engineering where needed.

3

Model Development

Train, validate, and document models with clear success metrics.

4

Deployment & MLOps

Production deployment with monitoring, retraining, and governance.

Technologies We Use

Python
TensorFlow
PyTorch
Scikit-learn
OpenAI API
Hugging Face
MLflow
Kubeflow

Frequently Asked Questions

Do we need large amounts of data for AI/ML?

More data often helps, but we also use transfer learning and augmentation when data is limited.

Can you integrate LLMs into our product?

Yes—OpenAI, Anthropic, and other APIs, with guardrails and evaluation suited to your domain.

How do you ensure model reliability?

Rigorous validation, testing, and production monitoring with clear rollback paths.

What is a typical timeline?

POCs often run 4–8 weeks; production-grade solutions commonly range from 3–6+ months.

Ready to Get Started?

Let's discuss how Vical Solutions can help with ai & machine learning.

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