Feasibility and POC
Define inputs, outputs, evaluation, and limits before testing critical assumptions.
FIT / NEEDS
A Good Fit When You Need
- To validate whether AI fits a real business problem
- Integration with mature models or third-party AI APIs
- Computer Vision, LLM, or agent workflows
- AI embedded in an existing product, Unity app, or backend
SCOPE / RESPONSIBILITY
Engagement Scope
Model and API Integration
Connect existing models and services into an operational product data flow.
Productization Flow
Address inference, backend, monitoring, failure boundaries, and human interaction.
CAPABILITY MATRIX
Core Capabilities
- Computer Vision
- LLM / Generative AI
- Agent Workflows
- Model / API Integration
- Inference Data Flow
- Unity / Backend Integration
BOUNDARY
Delivery Boundary
Foundation-model research, large-scale training infrastructure, model training, and fine-tuning are not standard services. Accuracy and business outcomes require data and testing and are never guaranteed unconditionally.
DELIVERY EVIDENCE
Relevant Validation Experience
AI Financial Chart Recognition
An end-to-end validation from market data and chart generation to YOLO recognition and visualization.
Dream Collectors
Moved a generative-image workflow to a local GPU and integrated public delivery.
View Case Details→DELIVERY PIPELINE
How We Work
- 01 / ALIGN
Align Goals and Ownership
Confirm the current state, desired outcomes, dependencies, and responsibilities before defining acceptance.
- 02 / ASSESS
Assess Risk and Feasibility
Use technical assessment or a POC when uncertainty warrants it; prototyping is not mandatory for every engagement.
- 03 / PLAN
Define Milestones and Delivery
Break down scope, timing, interfaces, and acceptance so decisions remain traceable during execution.
- 04 / DELIVER
Build, Integrate, and Validate
Iterate against milestones with integration, testing, and demonstrable results while addressing cross-system risk early.
SERVICE FAQ
AI Solutions FAQ
Can we run a POC before product development?
Yes. When data, accuracy, or workflow is uncertain, we define validation metrics and constraints before a controlled POC.
Do you guarantee accuracy or business outcomes?
No unconditional guarantee is made without evidence. We define limitations, evaluation, risk, and monitorable indicators.