Build useful AI without exposing public data.
Government AI initiatives often face the same barriers: sensitive information, fragmented systems, evolving policy requirements, limited internal AI capacity, and dependence on external platforms.
Backboard provides a flexible AI foundation for building secure internal tools, citizen-facing services, research systems, copilots, and workflow automation.
Control the parts that matter:
Keep data in approved regions or environments
Use approved open or proprietary models
Deploy in cloud, private cloud, on-premise, or air-gapped environments
Apply governance across knowledge, memory, tools, and workflows
Avoid long-term dependence on a single vendor or model provider
One platform for secure public sector AI.
Backboard brings together the infrastructure needed to deploy production AI systems without forcing every department to rebuild the same stack.
Model Access and Routing
Use the right model for the task while maintaining approved model policies, deployment controls, and portability as the market changes.
Private Knowledge and Retrieval
Connect AI systems to approved internal documents, policies, case information, and institutional knowledge while keeping access governed.
Persistent Memory
Give assistants and workflows secure memory across interactions, allowing systems to retain approved context and improve usefulness over time.
AI Workflows and Copilots
Build internal assistants, employee copilots, document intelligence tools, research workflows, and operational automation on a shared foundation.
Deploy where your mandate requires.
Public sector AI cannot always rely on public APIs or external data flows.
Backboard supports flexible deployment models based on your operational and security requirements.
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Cloud Deployment
For organizations requiring scalable AI with regional residency and approved cloud controls.
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Private or On-Premise Deployment
For sensitive workloads, regulated data, and environments requiring greater infrastructure control.
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Disconnected Environments
For defense, intelligence, critical infrastructure, and remote operations where external connectivity is restricted or unavailable.
Built for high-value public sector use cases.
Internal policy and knowledge assistants
Case management support
Document review and summarization
Research and intelligence workflows
Public service copilots
Regulatory and compliance support
Secure enterprise search
Operational automation
Defense and disconnected AI environments
The goal is not to deploy another chatbot.
It is to create a secure intelligence layer that helps public institutions operate more effectively.
A path from pilot to trusted infrastructure
Start with a focused use case and clear controls. Prove value in a contained environment. Then extend the same AI foundation across departments, workflows, and services.
This reduces duplication, improves governance, and prevents public sector AI from becoming a collection of disconnected experiments.