Your Complete
On-Premise AI Stack
Integral provides you with the complete on-premise AI stack, with modules working in tandem, inside your own infrastructure, to drive secure, intelligent automation.
Everything Integral is built on.
Six purpose-built modules that work together to give your organization complete ownership over its AI systems, from access to compliance to deployment.
Permissions go beyond login
01 — Fine-grained
Access Management
Access policies attach to both the user and the resource. Identity policies on roles and resource policies on knowledge bases and agents are evaluated simultaneously on every single request. An explicit deny in any policy overrides all allow statements regardless of role.
- Bidirectional IAM enforcement on every request
- Four built-in roles: Owner, Admin, Collaborator, Staff
- Per-resource access grants without role promotion
- Every permission change is written to an append-only audit log
Purpose-built on-premise AI systems
02 — On-Premise
Agent Builder
Build and configure AI agents for specific use cases, including legal research, financial analysis, compliance review, HR documentation queries, and more. Each agent runs entirely inside private infrastructure with a defined knowledge base scope, configurable reasoning pipeline, and a fallback policy that determines what the agent returns when retrieval finds nothing relevant.
- Configurable reasoning pipeline modules per agent
- Hard Stop fallback ensures zero fabricated answers from general LLM knowledge
- Full version control with rollback on every configuration change
- Zero outbound LLM calls in on-premise deployments
Your documents, indexed and controlled
03 — Knowledge Bases
Every knowledge base in Integral is isolated per tenant at the database query level. Documents pass through a seven-stage ingestion pipeline: validation, text extraction, PII scanning, chunking, embedding, indexing, and completion. Considering this happens entirely within private infrastructure, no document content reaches an external service at any point during ingestion.
- Three access tiers: Public, Private, and Restricted
- Parallel multi-KB retrieval with configurable merge strategies
- PII are redacted before any content reaches the embedding pipeline
- Every ingestion event is written to the audit log with full attribution
Compliance built into every layer
04 — GDPR
Compliance
Integral deploys document intelligence and agentic AI systems that align with all GDPR compliance obligations, including right to erasure, data residency, PII detection and redaction, consent logging, and DPA readiness, so the engineering team does not build or maintain them separately on each deployment.
- Right to erasure completing within a 72-hour SLA across every storage system
- PII redacted at ingestion and before every external LLM prompt dispatch
- Data residency enforced at the infrastructure layer, not just application configuration
- Immutable consent logging included at onboarding
Deploy with confidence, always
05 — Deployment
Integral's Provider Abstraction Layer sits between the agent execution engine and any LLM backend. The application code is identical across every deployment mode. Switching LLM providers from a public API to a self-hosted vLLM instance is just a configuration change.
- Cloud deployment or fully on-premise on private GPU hardware
- Regional data residency enforced across every storage system
- Packaged as Docker and Binary Builds
How Integral deploys on-premise AI
On-premise Infrastructure
Deploy AI models on private hardware or a dedicated cloud environment. Configure isolated network segments and enforce high-security physical boundaries.
Knowledge Base & AI Agents
Upload documents to your private index. Integral runs ingestion entirely on-premise. Configure reasoning pipelines and define agent capabilities.
User Interface & Integration
Connect your existing workflows to the AI stack. Use the built-in UI or integrate via API, maintaining full data sovereignty for every single request.
Choose Your On-Premise AI Deployment Model
On-Premise, Offline
For government agencies, defense-adjacent institutions, and critical infrastructure organizations operating inside fully isolated network environments. Integral runs entirely within your physical boundary with zero external dependencies at any point in the pipeline.
- ·Zero external network connectivity required
- ·Fully offline model inference
- ·Physical media model updates supported
Your Data Center
For enterprises that want full physical control over every component of the AI stack. Integral deploys on your own hardware inside your existing data center, managed through your standard enterprise change process.
- ·Runs on your own private hardware
- ·Integrates with your internal systems
- ·Standard enterprise change management process
Private Cloud
For organizations that want on-premise data control without managing physical hardware. A single-tenant cloud environment provisioned exclusively for your organization in the geographic region of your choice.
- ·Single tenant, no shared infrastructure
- ·Geographic region of your choice
- ·Predictable monthly infrastructure cost
On-premise AI versus cloud AI. The difference matters.
A side-by-side look at what changes when your AI runs inside your infrastructure instead of someone else's.