Data residency
Prompts and files stay inside your boundary.
Run Private AI inside your boundary.
Run models and agents in your cloud, data center, or air-gap. Your data and audit evidence stay inside your boundary.Your cloud. Your data center. Your air-gap. Prompts, models, and data never leave your boundary. Audit evidence stays inside your perimeter.
- US-operated, Atlanta-based
- SOC 2 · HIPAA · NIST-ready
More trust signals
- Customer holds the keys
- Sovereign by design
- 0
- Prompts or data leaving your network
- 12 weeks
- Architecture review to running pilot
Private AI, without giving up control
Keep the three things reviewers care about most inside your boundary.
Keys and control
You hold the encryption keys and control plane.
Compliance evidence
Review-ready audit records are created in your environment.
Why We Do It
Public AI was not built for how regulated enterprises operate.
Two approaches. Different outcomes across what matters to regulated enterprises.
Public AI API
Fast to start. Limited control.
Private / Sovereign AI
Built for control. Designed for trust.
Data & residency
Data is sent to infrastructure and regions outside your control.
Prompts, files, and embeddings stay inside your boundary — zero cross-border movement.
Keys & control
Keys and the control plane stay with the provider.
You hold the encryption keys and run under your own architecture.
Compliance evidence
Evidence depends on provider reports; extra review before go-live.
Audit trails and residency evidence generated in-house — built for SOC 2, HIPAA, and NIST review.
Cost
Pay per token — enterprise-wide cost grows unpredictably.
Pay for owned infrastructure; unit cost improves at scale.
Speed to production
Fast to demo, slow through security and regulator review.
Slower to start, then repeatable once approved.
multilingual & fit
Provider-limited; best for low-risk prototypes.
open models over your own data — built for regulated production.
Your data. Your keys. Your evidence.
Private / Sovereign AI keeps you in control so you can innovate with confidence.
Data stays inside your boundary
Keys stay in your control
Evidence ready for review
Built for US regulation
One control plane. Your data stays local.
Govern approved clusters without moving prompts, files, or model weights.
- Your control plane
- Approved AI clusters
- Metadata-only governance
How the boundary works
- Deploy in cloud, on-premise, or air-gapped environments.
- Keep prompts, files, vector stores, and model weights in-region.
- Share only policy, deployment, access, audit, and health metadata.
Globally deployable. Data never leaves your boundary.
Multi-region, multi-cloud, hybrid, air-gapped. Governed as one.
Full Control
In-Region Data
Central Governance
Full Control
In-Region Data
Central Governance
Multi-Cloud & Hybrid
Built for Compliance Review
Iftah Global Control Plane
1
North America
Customer AI Cluster
AWS / Customer Account
Residency & compliance
Data Residency: United States
Compliance: HIPAA, SOC 2
2
Europe
Customer AI Cluster
Azure / Customer Subscription
Residency & compliance
Data Residency: European Union
Compliance: GDPR, ISO 27001
3
Australia
Customer AI Cluster
OCI / Customer Tenancy
Residency & compliance
Data Residency: Australia
Compliance: IRAP, ISO 27001
4
Southeast Asia
Customer AI Cluster
GCP / Customer Project
Residency & compliance
Data Residency: Singapore
Compliance: PDPA, ISO 27001
5
Africa
Customer AI Cluster
OpenShift / On-Prem or Cloud
Residency & compliance
Data Residency: South Africa
Compliance: POPIA, ISO 27001
How does data stay in-boundary?
Your data never leaves your boundary.
Customer prompts, data, vector stores, and model weights remain in-region. Iftah only governs deployment, policy, access, and observability across the fleet.
Sovereign by Design
Built for Local Frameworks
One Platform
Sovereign by Design
Built for Local Frameworks
One Platform
Total Visibility
Cost Efficient
Three options. One real difference.
Every regulated enterprise faces the same choice. Here is what each actually means for your audit.
Iftah essentials
- Who controls the control plane?
- You
- Where do prompts go?
- Never leave your boundary
- Who holds encryption keys?
- You, in-region KMS
Compare every option
Who controls the control plane?
- Hyperscaler Sovereign Tier
- The vendor
- Foreign On-Prem Vendor
- Shared
- Build It Yourself
- You — you build & own it
- Iftah
- You
Where do prompts go?
- Hyperscaler Sovereign Tier
- Vendor's network
- Foreign On-Prem Vendor
- Varies
- Build It Yourself
- Your boundary — if engineered right
- Iftah
- Never leave your boundary
Who holds encryption keys?
- Hyperscaler Sovereign Tier
- Vendor
- Foreign On-Prem Vendor
- Vendor-managed
- Build It Yourself
- You
- Iftah
- You, in-region KMS
the OCC/NIST audit evidence?
- Hyperscaler Sovereign Tier
- Vendor attestation
- Foreign On-Prem Vendor
- Limited
- Build It Yourself
- Only what your team builds
- Iftah
- Generated inside your environment
multilingual-native model support?
- Hyperscaler Sovereign Tier
- Partial
- Foreign On-Prem Vendor
- No
- Build It Yourself
- You source and tune the models
- Iftah
- Yes, sovereign fine-tuning
Time to production?
- Hyperscaler Sovereign Tier
- Months to govern
- Foreign On-Prem Vendor
- 6–12 months
- Build It Yourself
- 18–36 months
- Iftah
- 12 weeks
Compute economics?
- Hyperscaler Sovereign Tier
- Premium sovereign pricing
- Foreign On-Prem Vendor
- Licensed + marked-up compute
- Build It Yourself
- Your capex + standing team
- Iftah
- Zero margin on compute
Vendor lock-in?
- Hyperscaler Sovereign Tier
- High
- Foreign On-Prem Vendor
- Medium
- Build It Yourself
- You own it all — and the burden
- Iftah
- None — open standards
Built for your security, data, and platform teams
CEO priority
AI that advances national strategy without foreign-law exposure.
From first pilot to board-reportable production — with named owners, audit evidence, and clear handoffs. Iftah is the path from innovation lab to a regulator-ready deployment that your board can stand behind.
View other leadership priorities
CTO priority
Open models. Open weights. No lock-in.
Deploy vLLM, TensorRT-LLM, or SGLang. Run leading open models. Multi-cloud or air-gapped. Swap engines as the field evolves — without re-architecting your stack or renegotiating a vendor contract.
CIO/CISO priority
Prove residency, isolation, and control to SOC 2, HIPAA, and NIST auditors.
Every request traced. Every access logged. Every model governed. Audit evidence is generated inside your perimeter — not sent to us. Your security reviewer can inspect it without Iftah involvement.
View more reasons to choose Iftah
You own the stack — not just the data.
Hyperscaler 'sovereign' tiers keep the control plane under foreign law. Iftah's control plane governs policy, identity, and audit — but your data plane never connects to us. You hold the encryption keys.
Every claim comes with evidence.
Boundary maps, signed audit trails, request traces, and runtime health are generated inside your environment and exportable on your terms — ready for your the OCC or NIST reviewer on first submission.
One pilot. One governed path. Then production.
We scope a 12-week pilot to one workload and one boundary — with named owners, review artifacts, and a hardening backlog — before any conversation about scale or annual commitment.
From your boundary to production, one governed path
01
Deploy in your environment
Install Iftah on any Kubernetes substrate — EKS, AKS, GKE, OKE, OpenShift, or bare-metal — in your cloud, data center, or air-gapped network. The data plane never leaves your control.
02
Govern at the gateway
Route approved models, agents, and Enterprise RAG through one policy-checked gateway — identity, classification, and guardrails on every request.
View the full rollout path
- 03
Observe and prove
Capture signed, content-free audit trails and runtime health that your security and compliance reviewers can export.
- 04
Scale pilot to production
Start with one workload and one boundary, then roll out the same operating model across clouds, on-prem sites, and sovereign regions — governed from one control plane.
View every deployment mode
Public cloud
Run inside your own AWS, Azure, Google Cloud, or Oracle Cloud account and region, never a shared tenant.
Private cloud
Deploy on OpenShift or any CNCF Kubernetes substrate inside the private cloud your platform teams already operate.
On-premise & bare metal
Install in your own data center or accelerator cluster, with no public cloud dependency in the path.
Sovereign & air-gapped
Run fully disconnected with a client-local registry and signed offline updates; no prompts, content, or models leave the network.
Hybrid
Keep sensitive workloads on-premise and run others in public cloud, all governed from one control plane.
Multi-cloud
Govern AI across many clusters and clouds from one policy and audit plane, consistent and reviewable everywhere.
Multi-cloud and hybrid, governed from one control plane
Run Iftah on any substrate your review process approves, with identity, policy, quota, and audit unified across every environment.
01
Public cloud
Run inside your own AWS, Azure, Google Cloud, or Oracle Cloud account and region, never a shared tenant.
02
Private cloud
Deploy on OpenShift or any CNCF Kubernetes substrate inside the private cloud your platform teams already operate.
View every deployment mode
On-premise & bare metal
Install in your own data center or accelerator cluster, with no public cloud dependency in the path.
Sovereign & air-gapped
Run fully disconnected with a client-local registry and signed offline updates; no prompts, content, or models leave the network.
Hybrid
Keep sensitive workloads on-premise and run others in public cloud, all governed from one control plane.
Multi-cloud
Govern AI across many clusters and clouds from one policy and audit plane, consistent and reviewable everywhere.
Where Iftah fits best
View more sectors
Telecom
multilingual knowledge
Priority use cases for enterprise buyers
Private knowledge assistant
Search policy, procedures, contracts, and internal knowledge bases without sending sensitive prompts or embeddings to a public API.
Buying trigger
Reduce risky ad-hoc AI use
View more use cases
Regulated document review
Give legal, banking, health, or government teams a controlled workflow for summaries, extraction, review, and evidence retention.
Create auditable AI workflows
Field and operations copilots
Run assistants for energy, telecom, and industrial teams near restricted systems while keeping rollout, access, and health visible.
Deploy AI near operational data
What separates Iftah from a hyperscaler sovereign tier or a foreign on-prem vendor.
You own the stack — not just the data.
Hyperscaler 'sovereign' tiers keep the control plane under foreign law. Iftah's control plane governs policy, identity, and audit — but your data plane never connects to us. You hold the encryption keys.
View more reasons to choose Iftah
Every claim comes with evidence.
Boundary maps, signed audit trails, request traces, and runtime health are generated inside your environment and exportable on your terms — ready for your the OCC or NIST reviewer on first submission.
One pilot. One governed path. Then production.
We scope a 12-week pilot to one workload and one boundary — with named owners, review artifacts, and a hardening backlog — before any conversation about scale or annual commitment.
Start with the architecture, then the pilot
Share your first workload and target environment. We will map a practical private AI path with your team.Tell us your country, first workload, target environment, and review constraints. We will map a practical private AI path with your technical owners.
Book an architecture review