Services/Deep learning
Capability
Deep learning
Perception models when off-the-shelf is not enough.
Vision, speech, and document models trained or adapted to your domain, then deployed with evaluation and ops in mind.
What we build
The engineering pieces included under this capability.
Computer vision
Detection, inspection, OCR, and visual classification.
Document AI
Extract structure from messy forms, invoices, and scans.
Speech / audio
Transcription and signal tasks where domain accuracy matters.
Adaptation
Fine-tune or train on your labelled data when generics fail.
Evaluation
Holdout sets, error analysis, and production quality bars.
Example use cases
Concrete jobs this capability is built for. Not a full project proposal.
01
Visual inspection / QA
Detect defects or missing parts in product images or line video so humans only review the exceptions.
02
Document intake
Read invoices, forms, or IDs, pull the fields you need, and write them into your system of record.
03
Domain-specific text tasks
Classify or extract meaning from industry language where a generic model misses the nuance.
Build path
- 01
Data & labels
What exists, what quality, what is missing.
- 02
Model choice
Reuse, adapt, or train; pick by accuracy and cost.
- 03
Deploy
Serve predictions with monitoring and a retrain path.
Typical stack
Training
Vision / speech
Serving
Need this in production?
Bring the use case and constraints. We will say if a sprint or pilot fits.