Deployment Options

Sovereign. Secure. Flexible. Scalable.

Maintain full control of your data and AI with sovereign, fully air-gapped deployment or flexible on-premises, hybrid, and cloud options tailored to your needs.

Engineered for Your Environment

Built to meet the most stringent enterprise security, privacy, and data sovereignty requirements, FinBlade offers flexible deployment options without compromising performance, scalability, or control.

On-Premise & Fully Air-Gapped

Deploy FinBlade entirely within your organization’s infrastructure, keeping enterprise data, AI models, applications, and processing under your control, with no external connectivity required.

  • Full Data Sovereignty: Data, prompts, models, indexes, and audit logs remain within your environment.
  • Air-Gapped Operations: Run independently of the internet, including in highly restricted and classified environments.
  • Infrastructure Flexibility: Deploy on dedicated servers, bare-metal, virtualized, or containerized environments.
  • Security & Governance: Integrate with enterprise identity, access management, monitoring, and security policies.
  • Scalability: Scale computing resources, AI workloads, and users across departments, locations, and infrastructure as demand grows.
  • Offline Maintenance: Manage software and model updates through secure, controlled offline procedures.

Combine the security of on-premises infrastructure with the flexibility and computational power of cloud-hosted AI, while maintaining control over sensitive enterprise information.

  • Local Data Custody: Keep documents, databases, indexes, and audit records within your infrastructure.
  • Cloud AI Processing: Access LLMs hosted in private or public cloud environments.
  • Controlled Connectivity: Transmit only the prompts and relevant context required for inference through secured connections.
  • Infrastructure Optimization: Reduce on-premises GPU requirements while using scalable cloud computing resources.
  • Flexible Architecture: Configure hosting and processing boundaries around organizational security and operational requirements.

Access FinBlade through flexible cloud environments, reducing infrastructure management requirements while supporting secure, scalable AI adoption across your organization.

  • Cloud-Agnostic Architecture: Deploy across different cloud providers without dependency on a single vendor.
  • Private Cloud: Deploy within a dedicated, isolated cloud environment with governed access and administration.
  • Public Cloud: Leverage established cloud infrastructure for rapid deployment and scalable computing.
  • Distributed Cloud: Support geographically distributed environments and regional processing requirements.
  • Scalability & Performance: Expand computing resources, models, and users as enterprise demand grows.
  • Managed Operations: Simplify infrastructure maintenance, monitoring, updates, and ongoing platform support.

Evolve your AI infrastructure as business priorities, security requirements, and technology investments change, without rebuilding your enterprise AI capabilities from scratch.

  • Cloud to On-Premises: Transition toward greater data sovereignty, infrastructure ownership, or air-gapped operations.
  • On-Premises to Cloud: Introduce cloud resources when additional capacity, accessibility, or flexibility is needed.
  • Preserve Investments: Reuse applicable AI agents, workflows, applications, configurations, and enterprise integrations.
  • Controlled Migration: Plan and validate data, models, configurations, and infrastructure transitions with minimal operational disruption.

Three Secure Deployment Models.

How They Differ and When to Choose?

Detailed Comparison >

On-Premise

Full Sovereignty

Run the entire FinBlade platform within your own infrastructure, with complete data custody and optional fully air-gapped operations.

  • Security.
    Maximum Isolation
  • Data Residency.
    100% On-site
  • AI Processing.
    Local / On-prem
  • Infrastructure.
    Client-Owned
  • Initial Investment.
    Higher CAPEX
  • Operating Cost.
    Can be lower vs Cloud
  • Scalability.
    Hardware Dependent
  • Management.
    Client / Finblade
  • Connectivity.
    None Required
  • Typical Fit.

    Government, defense, critical infrastructure, and highly regulated enterprises.

Hybrid

Balanced Flexibility

Keep enterprise data and applications on-premises while using cloud-hosted AI models to scale inference as demand grows. Balanced approach.

  • Security.
    Controlled Boundaries
  • Data Residency.
    On-prem Storage
  • AI Processing.
    Cloud Inference
  • Infrastructure.
    Client + On-cloud
  • Initial Investment.
    CAPEX Lower vs On-prem
  • Operating Cost.
    Balanced
  • Scalability.
    Elastic AI Capacity
  • Management.
    As per Agreement
  • Connectivity.
    Secure Outbound
  • Typical Fit.

    Enterprises seeking local data custody without investing heavily in GPU infrastructure.

Private Cloud

Managed Enterprise Cloud

Run FinBlade in an isolated private cloud tenant with dedicated resources, centralized governance, and minimal infrastructure for your team to manage.

  • Security.
    Tenant Isolation
  • Data Residency.
    Private Cloud Tenant
  • AI Processing.
    Cloud Hosted
  • Infrastructure.
    Cloud - Managed
  • Initial Investment.
    Low CAPEX
  • Operating Cost.
    Usage & Provider Dependent
  • Scalability.
    Elastic Cloud Capacity
  • Management.
    Normally, Finblade
  • Connectivity.
    Internet / Private Link
  • Typical Fit.

    Large/Mid-size enterprises and distributed teams prioritizing faster rollout and lower CAPEX.

Built for Your Infrastructure.
Supported at Every Step.

Data Sovereignty

Set boundaries for where data is stored and processed. Encryption, role-based access, and audit logs support your security and governance requirements.

Model Flexibility

Model-agnostic architecture supports privately hosted and approved cloud models. Match each workload to the model that fits its privacy, latency, and cost requirements.

Infrastructure Sizing

We assess your existing capacity and size GPUs, storage, and networking around expected usage and performance targets.

Air-gapped Deployment

Run FinBlade, your AI models, and enterprise data entirely within an isolated network. Agents, workflows, and analytics operate locally without internet access.

Enterprise Integration

We configure single sign-on, prepare enterprise data, and connect FinBlade to the applications and databases your teams already use.

Operational Support

Monitoring, backups, and recovery planning prepare your deployment for production. Ongoing support covers maintenance, updates, and capacity planning as demand grows.

Enterprise Intelligence That Moves Work Forward.

A complete, governed AI platform to search, analyze, create, automate and execute across your enterprise. Delivering immediate productivity gains and creating long-term institutional value.

Book a Demo
FinbladeAI Platform

AGENTIC COMMAND CENTER

AI-Supported Enterprise Operating Model

WORKFLOW AI

Connect, Automate, Orchestrate, Execute

STUDIO AI

Create, Connect, Visualize, Operate

AI Agents

Define, Reason, Orchestrate, Execute

DASHBOARDS & BI

Analyze, Visualize, Monitor, Act

DOCUMENT DIGITALIZATION

Extract, Structure, Validate, Activate

VIDEO AI / CCTV

Monitor, Escalate and React in Real-Time

ROUTE OPTIMIZATION

Faster, More Efficient and No Delays

MOBILE APP

Enterprise AI. Wherever Work Happens

Agentic Chat AI

Understand, Analyze, Create, Execute