Search in your data
Retrieve authorized material across documents, file stores, knowledge bases and internal systems using semantic and keyword signals.
- Permission-aware connectors
- Hybrid retrieval and ranking
- Source metadata and filters
Minima AI Agent
Search, chat and automate over private enterprise data.
Minima AI Agent connects to files, databases and internal systems, then runs retrieval and agent workflows on-premises or in your VPC. Pair it with your existing model or a model optimized by mnma.
Your sources, access controls and model path stay within the environment you choose.
01Source-linked
Responses can point back to the authorized source material used.
02Customer-controlled
Deploy on-premises or in a customer VPC to keep data flows inside your environment.
03Model-flexible
Use OpenAI-compatible providers, locally deployed models or a model optimized by mnma.
Capabilities
From information retrieval to governed action.
Minima AI Agent is the application layer. The mnma engine is the inference foundation beneath it—not a substitute for retrieval, permissions or workflow design.
Chat with your data
Ground model responses in retrieved sources and return citations when the deployment is configured to do so.
- Conversation over current sources
- Configurable models and prompts
- Source-linked responses
Agents on your data
Build governed workflows that read, compare and generate across approved sources, tools and business processes.
- Configurable tools
- Human review checkpoints
- Auditable workflow steps
Architecture
A private path from source to answer.
The exact architecture depends on your identity provider, data systems, model choice and deployment boundary.
- 01
Connect authorized sources
Map access from files, databases and internal services into the customer-controlled deployment.
- 02
Index and retrieve
Prepare searchable representations and rank the smallest useful evidence set for each request.
- 03
Generate with your model
Use an OpenAI-compatible provider, a local model or a model optimized by the mnma engine.
- 04
Return sources or take action
Present source-linked responses or continue into a configured workflow with appropriate review.
Capability comparison
Designed for current, governed enterprise context.
This is an architectural comparison, not a universal quality benchmark. Results depend on data, retrieval configuration and model choice.
| Capability | Generic long-context prompt | Minima AI Agent |
|---|---|---|
| Data freshness | Limited to supplied context | Retrieves current authorized sources |
| Citations | Depends on implementation | Source-linked responses when configured |
| Context use | Sends large undifferentiated context | Retrieves and ranks relevant content |
| Deployment | Often an external API | On-premises or customer VPC |
| Model choice | Provider-dependent | OpenAI-compatible or locally deployed models |
| Workflow actions | Usually custom | Configurable tools and agent workflows |
Deployment boundary
Keep the model and data path where your controls live.
Deploy on-premises or in your VPC to keep model traffic within your controlled environment and support your GDPR, HIPAA and SOC 2 compliance program. Architecture supports a compliance program; it does not certify the customer or guarantee compliance.
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CUSTOMER-CONTROLLED ENVIRONMENT
Authorized users→Retrieval→Model runtime→Workflow
Files · Databases · Knowledge systems · Approved tools
Private AI applications
See Minima AI Agent on your data and deployment model.
Tell us which data systems, model stack and workflow you want to evaluate. We will propose a focused technical walkthrough.
- Source systems and permissions
- Deployment boundary
- Model or provider preference
- Target search or workflow use case
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