Compliance and evidence workflows
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Private Deployment
Private AI deployment for regulated enterprises.
Keep your data behind your firewall. We deploy full AI workflow systems inside your VPC, on-premise, or in a dedicated managed cloud.
What is Dotnitron? Dotnitron is a forward-deployed AI workflow implementation company. We help teams turn AI models, agents, internal data, documents, ERP systems, and human review processes into secure production workflows with measurable operating value.
01
Why sensitive workflows need deployment choices
For confidential diligence, regulatory compliance, legal, and professional-services workflows, the deployment model matters. We design around the client's approved data boundary, whether that means private cloud, VPC, tenant-isolated, or on-premise paths.
02
VPC and On-Premise Deployment
We package our workflow layers (InsightGale, SemeLabs, Pelestra) into Docker containers orchestrated by Kubernetes. We deploy directly into your existing AWS/Azure/GCP Virtual Private Cloud (VPC) or onto your bare-metal servers. No outbound internet access is required.
03
Security controls and identity integration
Every deployment integrates seamlessly with your enterprise Identity Provider (Okta, Entra ID) via SAML/OIDC. We enforce strict RBAC, encrypt data at rest (AES-256) using Customer Managed Keys (CMK), and encrypt all data in transit (TLS 1.3).
04
Self-hosted open-source model integration
If your compliance requires zero data leaving your servers, we can design self-hosted model inference and document-processing paths on approved infrastructure, with clear tradeoffs around latency, accuracy, cost, and maintenance.
Where This Applies
Start where repeated interpretation work is already hurting margin.
The best AI agent implementation projects do not begin with a blank transformation program. They begin with a workflow that already has volume, rules, exceptions, reviewer judgment, and measurable delay.
Diligence and verification workflows
Data-room review, background verification, secretarial due diligence, and other document-heavy processes that need source-backed findings.
ERP and operational answer workflows
SQL-backed operational intelligence for teams that need recurring answers from ERP and source-system data without analyst queues.
FAQ
Frequently asked questions
What is private AI deployment?
Private AI deployment involves hosting AI models, data processing pipelines, and applications within an isolated environment (like a VPC or on-premise servers) to ensure complete data sovereignty and prevent unauthorized external access.
Do we need specialized hardware for on-premise deployment?
Depending on the models used, GPU infrastructure may be required. We work with your IT team to specify the necessary hardware or design architectures that leverage CPU-optimized models where appropriate.
Ready to move beyond AI pilots?
Bring us one workflow where an AI agent could remove repeated analyst work without losing source visibility, controls, or human review.