Private AI Infrastructure for Institutions That Cannot Risk Public AI
We deploy on-premise LLMs, automated workflows, and executive dashboards inside your environment. 7 years of R&D. 44-day average deployment. Every engagement personally architected by the founding team.
95%less manual research$1.2B AUM firm, first quarter
10K+prospects in 30 daysfinancial services client
$47Mportfolio value surfacedfirst quarter of deployment
Zerosecurity breachessince first deployment
Architecture·Case Studies·Pricing·Team·FAQ
Client Testimonial
“We evaluated three private AI providers. Voltify was the only one that could deploy within our existing compliance perimeter without a full infrastructure re-architecture. We were live in 44 days not the 6+ months every other vendor quoted. Our analysts went from 40 hours of manual research per week to under 2. The ROI was realized in the first quarter.”
CTO, Mid-Market Asset Manager ($1.2B AUM, identity under NDA)
ISO 27001-alignedNDA Protected EngagementsDeployed on Azure • AWS • GCP • On-prem
Why Not Public AI?
Public AI vs. Private Infrastructure
Every public AI endpoint introduces risk. Here is what changes when you control the infrastructure.
✓ Phased implementation: audit to production in 44 days
Data Residency
✗ Vendor-defined regions
✓ Client-defined, supports full isolation
Integrations
✗ Limited APIs
✓ SAP, Salesforce, Snowflake, Databricks, custom
Security Audit
✗ No independent audit access
✓ Penetration test results, CAIQ, VSAQ under NDA
The Real Problem
The Problem Isn't That You Don't Need AI. It's That You Can't Use What's Available.
Your analysts spend 40+ hours a week on manual research. Your pipeline data is 48 hours stale. Your competitors are deploying AI. But every public endpoint is a compliance incident waiting to happen. The result: you do nothing, and the gap widens.
40+ Hours/Week Wasted
Your highest-value people are doing clerical work. Analysts manually reconcile data across CRM, email, and reporting tools. The work a machine should do.
48+ Hour Decision Lag
Leadership makes decisions on stale data. By the time reports reach your desk, the market has moved. Your pipeline velocity is measured in days, not minutes.
Public AI = Unacceptable Risk
Your compliance team already flagged it. Every public LLM endpoint processes your data on shared infrastructure. One incident away from regulatory exposure.
We've deployed zero-breach private AI infrastructure for institutions managing $1.2B+ in assets.
The 44-Day Protocol
From Audit to Production in 44 Days. Not 6 Months. Not "TBD."
Every enterprise AI vendor quotes 6-12 month timelines. We've compressed it to 44 business days — proven with a $1.2B AUM asset manager. Here's the protocol.
1
NDA + Scope
Day 0–3
Mutual NDA signed. Scope alignment call.
2
Audit
Day 4–7
60-minute infrastructure assessment. Compliance gap analysis.
Every enterprise engagement includes a contractual commitment: we reach production within 44 business days of signed SOW, or we extend the Phase 1 engagement at no additional cost until production is live.
This is not a money-back guarantee. It is a time guarantee. Your compliance team can plan around it. Your board can approve it.
Proven: 44-day deployment completed for $1.2B AUM asset manager. Zero delays. Zero breaches.
What We Build
Six Systems. One Mission: Institutional Control
Every system is deployed within your perimeter. Every integration connects to your existing stack. Every output is audit-ready.
Private AI Systems
Your team asks questions. The AI answers using only your data. Zero external API calls. Zero data leakage.
95% reduction in research time
Enterprise Automation
Invoices, follow-ups, reporting, and reconciliation run automatically across Salesforce, SAP, Outlook, and custom APIs.
85% less manual data entry
Executive Dashboards
Real-time pipeline health, revenue metrics, and compliance status. Decisions based on today's data, not last month's report.
48h → real-time decisions
Knowledge Infrastructure
Your institutional knowledge indexed, searchable, and private. Only your team can query internal documents and communications.
Single source of truth
Compliance Monitoring
Audit-ready AI workflows with full logging, access controls, and SOC 2 / ISO 27001 alignment built into every output.
SOC 2 aligned today
Predictive Analytics
Revenue, risk, and opportunity forecasting from your institutional data. Surface what's coming before your competitors do.
$47M surfaced, first quarter
Integrates with your existing stack
SAP S/4HANASalesforceSnowflakeMicrosoft 365Azure AD / Okta SSODatabricksSlackCustom REST APIsNVIDIA H100 / A100
Proven Results
Real Outcomes
Verified results from clients with private AI infrastructure deployments.
SOC 2 Type II audit underway attestation expected Q2 2027 ISO 27001-aligned controls Deployed on Azure / AWS / GCP / On-prem Mutual NDA • BAA • DPA available H100 / A100 clusters supported
95%
Less manual research
Analysts went from 40+ hours of manual research per week to under 2 after private AI deployment.
10K+
Qualified prospects generated
Accelerated pipeline for a financial services client in the first 30 days of deployment.
100%
Zero security breaches
Every deployment maintained under strict NDA no exceptions since inception.
Case Studies
Delivered Under NDA
Anonymized results from institutional deployments. Identities disclosed upon signed consultation.
Asset Management Firm $1.2B AUM
AzurePrivate GPT6 Weeks
Challenge
Sensitive portfolio data could not be processed through public AI endpoints. Manual research workflows consumed 40+ hours per analyst weekly. Regulatory guidelines prohibited any third-party AI data processing.
Solution
Private AI deployment within Azure environment, inside the firm's existing compliance perimeter. Custom GPT trained on proprietary research, portfolio data, and market intelligence. Vector index of institutional knowledge base.
Result
95% reduction in manual research workload. $47M+ in portfolio value surfaced for this client in the first quarter. Analysts reassigned to higher-value decision making. Zero data exposure incidents.
Financial Services Firm $800M AUM
AWSCRM IntegrationSalesforce
Challenge
Fragmented operations across CRM, email, and reporting tools. No centralized automation teams manually reconciled data across four platforms. Pipeline visibility was 48+ hours delayed.
Solution
AI workflow infrastructure on AWS connecting Salesforce CRM, email automation (Outlook), and pipeline analytics into a single private orchestration layer with real-time executive dashboard.
Result
10,000+ qualified prospects generated in the first 30 days. Operations consolidated into a single dashboard. Pipeline latency reduced from 48 hours to real-time.
Investment Tiers
Transparent Pricing with a Clear Entry Point
One-time installation. Annual license: 15% of plan price. No per-seat charges. No usage overages. Start with Phase 1 to prove value. Upgrade to Enterprise with full installation credit.
PHASE 1
Proof of Value
$25,000 – $50,000
One department. One workflow. One dashboard. 14-day delivery. Full credit toward Enterprise tier.
If we don't reach production within 44 business days of signed SOW, we extend Phase 1 at no additional cost until production is live. This is a time guarantee, not a money-back guarantee.
CURRENT AVAILABILITY: 2 of 4 Q1 2027 slots claimed. Each deployment is personally architected by Patricio Zambrano. We do not delegate to junior staff.
The team behind the infrastructure. Every engagement is personally reviewed and architected by the founding team not delegated to junior staff.
Patricio Zambrano
Founder, Chief Systems Architect
Deploys private AI infrastructure across financial services, asset management, and enterprise environments. Specializes in data sovereignty architecture building fully isolated AI systems that operate within an institution's existing compliance perimeter. Every engagement personally overseen from audit through deployment. No delegation.
Institutional capital allocation and treasury operations across private equity, alternative assets, and financial infrastructure. Oversees engagement structuring, investment alignment, and capital deployment for each client.
Drives revenue growth and client acquisition across private AI infrastructure engagements. Leads sales strategy and partnership development for enterprise deployments.
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Addressing the due diligence questions every institutional buyer raises before a multi-million dollar infrastructure commitment.
How does Voltify guarantee sovereign data protection?
We deploy fully isolated private AI instances within your institutional perimeter. No enterprise data touches shared infrastructure, public endpoints, or third-party LLM services. Every system is containerized, encrypted at rest and in transit, and continuously audited for SOC2 alignment.
What is the procurement process?
The process begins with a confidential infrastructure audit under mutual NDA, followed by a custom blueprint proposal, commercial terms alignment, and phased deployment averaging 44 days (proven with $1.2B AUM firm scope discussed during audit).
Is Voltify SOC 2 certified?
SOC 2 Type II certification is in progress and expected Q2 2027. We do not display the badge on our site until the audit is complete. In the meantime, every engagement includes a mutual NDA, detailed security architecture review, and our systems are built to SOC 2 standards today. Interim security attestation and our SOC 2 progress report are available under NDA upon request.
What size institution do you work with?
We work with $10M+ enterprises and financial institutions. Below that threshold, the infrastructure economics do not justify the investment. If you are at that level or above and facing AI regulatory exposure, we want to hear from you.
Can we do a pilot before committing?
Yes. We start every engagement with a confidential infrastructure audit under NDA no cost, no obligation. The audit surfaces your real exposure and gives you a concrete deployment blueprint before any commercial commitment.
What compliance documents do you provide?
We provide SOC 2 Type II report (Q2 2027), MSA, DPA, BAA, CAIQ responses, penetration test results, and security architecture review. All documents available under mutual NDA. We respond to your vendor security questionnaire within 5 business days.
Where is my data stored and processed?
Data residency is fully client-defined. Infrastructure deploys within your chosen environment Azure, AWS, GCP, or on-premises. No data leaves your chosen region or boundary. We support single-region, multi-region, and full isolation deployments based on your regulatory posture.
What are typical implementation timelines?
Phased deployment from audit to live operation typically completes within 44 days proven with a $1.2B AUM firm. Scope and integration complexity may extend the timeline; we address this during your confidential audit.
How does pricing scale with my institution?
Pricing is based on deployment scope, number of users, model variety, and infrastructure tier. We do not charge per token or per API call. All pricing is fixed under enterprise license agreement. Typical engagements range from $50,000 to $500,000+ annually depending on deployment depth.
Security, Compliance & Data Sovereignty
Built for Regulatory Scrutiny. Not Just Compliance Marketing.
SOC 2 Type II audit in progress (attestation expected Q2 2027). ISO 27001-aligned controls active today. Every engagement includes penetration testing, security architecture review, and compliance documentation under NDA.
THE COMPLIANCE ACCELERATOR
Within 5 business days of engagement kickoff, you receive:
