Custom internal GPTs trained on your data, automated workflows cross-department, and executive dashboards with real-time intelligence all deployed within your existing compliance perimeter.
“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.”
Every public AI endpoint introduces risk. Here is what changes when you control the infrastructure.
| Public AI | Voltify Private Infrastructure | |
|---|---|---|
| Infrastructure | ✗ Shared | ✓ Private deployment within your perimeter |
| Data Processing | ✗ External servers | ✓ Internal processing only |
| Control | ✗ Vendor-managed | ✓ Fully client-controlled |
| Workflows | ✗ Generic, one-size-fits-all | ✓ Custom systems for your operation |
| Compliance | ✗ Vendor-dependent | ✓ Audit-ready, SOC2-aligned, NDA |
| Data Exposure | ✗ Passes through public endpoints | ✓ Zero data leaves your environment |
| Pricing | ✗ Per-token/API, unpredictable | ✓ Fixed enterprise license, predictable annual cost |
| Deployment | ✗ Self-service, no SLA | ✓ 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 |
Spreadsheets, siloed software, and manual reporting consume your teams. Public AI is not an option your data cannot leave your perimeter. The result: institutional knowledge is fragmented, decisions are delayed, and your competitors move faster.
Six capability areas we deploy within your institutional perimeter. Every system is private, auditable, and built to your compliance requirements.
Verified results from clients with private AI infrastructure deployments.
Anonymized results from institutional deployments. Identities disclosed upon signed consultation.
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.
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.
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.
Fragmented operations across CRM, email, and reporting tools. No centralized automation teams manually reconciled data across four platforms. Pipeline visibility was 48+ hours delayed.
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.
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.
One-time installation fee. Annual license: 15% of plan price. No per-seat charges, no usage overages. Three tiers for three institutional profiles.
Entry-level private AI deployment. Internal GPT, automated workflows, and executive dashboard within your compliance perimeter.
Book Audit →Full-scale infrastructure: multi-department automation, compliance monitoring, predictive analytics. SLA-backed with dedicated support.
Book Audit →Custom model architectures, multi-environment deployments across jurisdictions. Includes full audit, compliance mapping, and architecture proposal under mutual NDA. Personally architected by the founding team.
Book Confidential Briefing →All Starter deployments can be upgraded to Foundation at installation credit. Mutual NDA required.
Inquire →Our requirements go beyond what is listed here →
Intermediate configurations available request Starter / PYMES pricing breakdown
Technical resources to support your due diligence. Each document is prepared for institutional evaluation under NDA.
The team behind the infrastructure. Every engagement is personally reviewed and architected by the founding team not delegated to junior staff.
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.
LinkedIn
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.
LinkedInExplore our free content to stay up to date with AI, automation, and business strategy.
Addressing the due diligence questions every institutional buyer raises before a multi-million dollar infrastructure commitment.
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.
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).
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.
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.
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.
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.
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.
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.
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.
Everything included in a Voltify engagement
Procurement Package
SOC 2 Type II progress report • ISO 27001 mapping • Architecture white paper • CAIQ • Sample MSA • DPA template
Confidential by default. All inquiries are protected under NDA. Initial consultations are obligation-free.