Parky.AI
Mobile sign capture connects to backend AI processing. A structured result becomes an explanation of parking conditions with date and time context.
Explore the workflow and system →AI product development
AI attached to a useful product workflow.
Underlabs develops AI-enabled applications and connected AI systems: mobile and web interfaces, model integrations, backend services and workflows built around your existing software.
We connect model input and output to a complete application: the information it can access, the work it can perform and the people who review the result.
Who it is for
Product and operations teams with a specific workflow, information bottleneck or decision that could benefit from carefully supervised AI.
Engineering capabilities we offer
Scope can include document-grounded assistants, retrieval and tool integrations, workflow orchestration and evaluation. These are capabilities we can design for your project; the production examples below each demonstrate a specific, narrower workflow.
- Mobile and web applications connected to model services
- Document grounding, with source selection and access permissions
- Tool and API integrations with scoped authorization
- Human approval before consequential actions
- Evaluation against representative inputs, failure handling and monitoring
What affects cost and timing
Data readiness, model uncertainty, privacy, integrations, evaluation requirements and the cost of a wrong answer shape the architecture.
What to prepare
Bring representative inputs, the desired output, current manual process, acceptable error boundaries and who must review or approve results.
Implemented examples
AI connected to a real task.
Parky.AI is an Underlabs product. Organize-it! is owned by GSC Technologies Inc., with software engineering by Underlabs.
Organize-it! · Photo to Items
This live feature turns a photo into suggested inventory records. The app presents names, images and keywords for the user to review and edit before saving.
Explore the workflow and system →
Organize-it! · AI Support
The live assistant answers product questions and asks follow-up questions inside the app. Its service supplies the model with maintained support documentation. This example demonstrates conversational support without autonomous account actions.
Explore the workflow and system →Relevant experience
Products connecting the interface to the system.
FAQ
Common questions
Do we need our own AI model?
Usually not. Many products are better served by integrating established models with domain context, tools, permissions and evaluation.
How do you reduce AI risk?
We define boundaries, use structured outputs where useful, add human review for consequential steps and test against representative cases.
Can AI be added to an existing product?
Yes, when the workflow and value are clear. We first identify the smallest useful integration and its operational safeguards.