Services/Generative AI
Multimedia AI
Vision, speech, and generative models applied to images, video, and audio at scale.
- 8 to 14 weeks
- Project-based, or retainer
- Vision and ML engineers with a backend engineer
- Content operations, moderation, document processing, and media analysis
What we do
Computer vision, document understanding, speech processing, and image generation for content, moderation, and analysis workflows. We combine off-the-shelf multimodal models with custom pipelines and batch infrastructure.
What the work includes
Document and image understanding
OCR, layout analysis, and multimodal models that extract structured data from invoices, forms, photos, and scans.
Vision at scale
Object detection, classification, and moderation pipelines built to process large volumes on a predictable budget.
Speech and audio
Transcription, translation, and voice generation, including Vietnamese, integrated into the product or workflow that needs it.
Generation with control
Image generation and editing pipelines with brand constraints, review steps, and provenance tracking.
Case study
Image analysis inside an insurance claims agent
OCR and damage-assessment steps integrated into a conversational claims workflow for an insurance technology platform.
How an engagement runs
Scope, build, evaluate, operate.
The same four stages on every engagement, so you always know what happens next and what you will have at the end of it.
Scope
A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.
Build
A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.
Evaluate
Every AI component is measured against real cases before rollout. The numbers decide when it goes live.
Operate
Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.
Typical stack
Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.
- Python
- OpenCV
- PyTorch
- FFmpeg
- OpenAI
- Hugging Face
Related use cases
Related services.
Agentic AI
Systems that take an objective, plan the steps, use tools, and complete multi-step work with minimal supervision.
Conversational AI
Assistants that hold context, answer from your knowledge, and hand off to a person at the right moment.
Enterprise RAG
Retrieval-augmented systems that answer questions from your documents and data, with citations and access control.
Vision and speech
Media workflows, automated where it counts
Most multimedia work is a pipeline problem. We build the pipeline, and choose or train the model that fits each stage.