Boundaries and Permissions
Define user roles, data sources, permitted tools, and operations requiring human approval. Distinguish knowledge retrieval, content generation, and actions that can change the state of external systems.
Vertical AI Platform
A compact, usable domain-specific platform, rather than an abstract shared platform
Support model iteration and operational deployment through a minimal closed loop.
What we provide
New Horizon provides domain-specific AI platform development services, delivering a minimum viable data/training/inference/monitoring workflow. Source code handover can be agreed.
Last updated: 2026-08-12 · New Horizon Digital Outsourcing Team
Capability Highlights
- Runnable Minimum End-to-End Workflow
- Configurable Permissions and Auditing
- Pluggable Models and Tasks
Typical deliverables
- Platform Framework
- Pipeline Documentation
- Permissions Plan
- Source Code/Deployment Documentation
Delivery workflow
- 01 Tailor the Use-Case Scope
- 02 Platform Setup
- 03 Model Integration
- 04 Acceptance
Implementation References for This Domain
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Knowledge Guides
- How do you control permissions and unintended actions when connecting AI agents to business tools?
- How do you design reward functions for simulation-based reinforcement learning and prevent reward gaming?
- What acceptance checks are needed for datasets of synthetic simulation images used to train recognition models?
- How do you evaluate autonomous navigation agents, and why is one successful run not enough?
Case Studies
Engineering Notes
Platform delivery covers the full model operations lifecycle
Data and Model Versions
Record versions of data processing, knowledge indexes, models, prompts, and inference parameters to make results traceable. Set separate rules for knowledge updates, permission filtering, log retention, and failure responses.
Evaluation Before and After Launch
Establish a target task set and check accuracy, citations, handling of unauthorized requests, latency, and cost. Acceptance requires more than a working chat interface: error handling and human takeover must also be verified.
Further Reading and Technical References
Related standards and technical documentation for solution selection and implementation.
Discuss Domain-Specific AI Platform Development Services
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.