AI application development is engineering with an evaluation discipline. Whether the task is language, classification, vision, or speech, we adapt suitable approaches to your data and requirements — and measure whether they actually help before they ship.
Web Development — AI Development & Integration
AI Application Development
Custom AI applications — LLM-powered features and products built around defined business use cases.
Who this is for
- Businesses adding AI features to existing products
- Teams building internal AI tools for staff
What's included
Model adaptation
We assess fine-tuning, retrieval-augmented generation, embeddings, classification, computer vision, and speech applications according to your data and requirements.
Classification and vision
Train and evaluate models to categorize emails, support tickets, documents, or images using labeled examples and task-specific criteria.
Voice and speech
Speech recognition and text-to-speech adaptation for domain terminology, using authorized recordings and evaluation for intended speakers and conditions.
Evaluation
Task performance evaluated against a baseline to determine whether an approach is useful for the intended workflow.
What you receive
- A working AI application or feature scoped in stages
- Evaluation results against agreed criteria
- Deployment and maintenance plan
Scope & limitations
- Evaluation criteria, exercises, and program scope are tailored to the use case rather than promising a particular quality improvement or productivity gain.
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Share your goals and current setup. We will review your enquiry and discuss scope and next steps.
