AI Infrastructure
Built on Google Gemini
via Vertex AI
VirtualDojo Intelligence operates exclusively on Google Gemini models through the Vertex AI API. One provider. No data routed across vendors.
Models in Use
Gemini 2.5 & Gemini 3.0
Processing Environment
Google Cloud — FedRAMP boundary aligned
Customer Data Policy
Not used to train shared foundation models
What VirtualDojo Intelligence Does
VirtualDojo Intelligence assists operational workflows across your workspace. It operates contextually, adapting to the specific account, opportunity, or dataset being reviewed.
CRM Data Analysis
Identify missing or incomplete fields
Detect inconsistencies across accounts and opportunities
Surface data gaps that impact reporting or compliance
Pipeline Intelligence
Analyze opportunity health and risk indicators
Summarize revenue exposure by contract vehicle
Generate executive-ready summaries of active pursuits
Contract Context
Review opportunity alignment against contract vehicles (SEWP, ITES, GSA)
Surface potential compliance signals related to contract usage
Gap Detection
Identify missing compliance indicators
Highlight potential CMMC-related data gaps
Surface inconsistencies in record documentation
Executive Summaries
Generate structured summaries of accounts, opportunities, or portfolio segments
Support leadership reporting and internal reviews
Your Data. Your Boundaries.
VirtualDojo Intelligence is built around strict tenant isolation. Here's exactly how your data is handled and what we do to keep processing fast without compromising your security posture.
Tenant Isolation
All prompts and outputs processed within your isolated tenant boundary.
No Model Training
Your data is never used to train shared foundation models.
Encryption
Data encrypted in transit and at rest per platform security standards.
Controlled Processing
Model interactions occur within Google Cloud aligned to FedRAMP controls.
Data Classification & Shared Hash Cache
VirtualDojo performs AI-assisted data classification on files processed within the platform. To improve efficiency and reduce AI token consumption, VirtualDojo uses a hash-based classification cache.
Custom MCP Tools & External Processing
VirtualDojo Intelligence lets customers integrate custom MCP (Model Context Protocol) tools to connect external services and extend system capabilities. By default, all core functionality runs within your tenant. External data moves only when you intentionally configure MCP tools.
Guardrails
Designed to Assist.
Not to Replace.
VirtualDojo Intelligence is designed to assist, not replace, human decision-making.
What VirtualDojo Intelligence Does Not Do
Submit data to government systems
Provide legal or regulatory determinations
Make autonomous contractual commitments
Train shared foundation models using customer data
Replace compliance certification processes
Access data outside your authorized tenant environment
Responsible Use
VirtualDojo Intelligence generates responses using probabilistic models. Outputs may contain inaccuracies or incomplete interpretations. Users are responsible for validating AI-generated content before:
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Contract submission
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Pricing decisions
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Compliance certification
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Government reporting
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Executive distribution
VirtualDojo Intelligence supports operational efficiency. Final responsibility remains with the user.
Common Questions
Answers to the questions we hear most often from GovCon teams evaluating VirtualDojo Intelligence.
No. Customer data is not used to train shared foundation models. All AI processing is standardized on Google Gemini via Vertex AI, and your data remains within controlled, compliant environments.
VirtualDojo Intelligence operates exclusively on Google Gemini models through the Vertex AI API. At present, VirtualDojo uses Gemini 2.5 and Gemini 3.0. VirtualDojo does not use multiple AI providers or route customer data across different foundation model vendors.
Yes. Processing occurs within Google Cloud infrastructure aligned to FedRAMP boundaries, ensuring that customer data remains within controlled, compliant environments. Model interactions occur within controlled Google Cloud infrastructure aligned to FedRAMP security controls.
The cache contains classification outcomes only. No unique tenant data, prompts, annotations, or metadata are stored in this cache. This shared cache is used solely for file classification purposes.
If a file is unique to your environment, it is processed independently and will not retrieve data from the shared cache. No other system data is shared across tenants.
No. VirtualDojo Intelligence is designed to assist, not replace, human decision-making. It does not submit data to government systems, make autonomous contractual commitments, replace compliance certification processes, or provide legal or regulatory determinations. All outputs should be reviewed prior to submission, certification, or contractual action.
When an MCP tool is configured to call an external server, relevant data may leave your VirtualDojo tenant boundary. External MCP servers operate outside of VirtualDojo's infrastructure. VirtualDojo cannot control, audit, or guarantee how external MCP servers store, process, or use data. If strict tenant-boundary processing is required, customers should avoid enabling external MCP tools.
VirtualDojo Intelligence generates responses using probabilistic models. Outputs may contain inaccuracies or incomplete interpretations. Users are responsible for validating AI-generated content before contract submission, pricing decisions, compliance certification, government reporting, and executive distribution. VirtualDojo Intelligence supports operational efficiency — final responsibility remains with the user.