The Problem We're Solving
Every organization today faces the same dilemma: the most valuable AI use cases involve the most sensitive data. Medical records. Financial transactions. Legal documents. Internal communications. The data that would unlock real AI-driven productivity gains is exactly the data you cannot safely send to a cloud AI provider.
Existing solutions ask you to choose between security and capability — on-premise deployments that lag behind, "private" clouds that still expose plaintext inside the provider's walls, or blanket AI bans that leave your teams unable to compete.
CipherSonic's Fully Homomorphic Encryption-based infrastructure is built to eliminate this tradeoff entirely. The Private Compute Program exists to prove it — on your workloads, with your data.
Workload Categories
We are prioritizing founding participants across five categories where privacy-preserving AI delivers the highest impact.
Fraud detection, credit scoring, AML compliance, and customer analytics on encrypted transaction data.
Clinical decision support, patient risk stratification, and research analytics without exposing PHI.
Contract analysis, eDiscovery, regulatory review, and privileged document workflows with full confidentiality.
Intelligence analysis, secure inter-agency collaboration, and citizen services with zero data exposure.
Multi-tenant AI features, customer data analytics, and proprietary model serving without cross-customer exposure.
How the Program Works
Submit your application describing your workload, data environment, and what success looks like.
Our team reviews applications and selects founding participants with high-fit workloads for the first cohort.
Our technical team works with your engineers to integrate CipherSonic technology into your existing data pipeline.
Run your real workload on CipherSonic's encrypted infrastructure for a 30-day pilot period.
Measure outcomes against your success criteria and shape the direction of our product with direct feedback.
What Founding Participants Receive
Early access to CipherSonic's full encrypted AI stack — CipherCloud, CipherChat, and CipherAgent — before general availability.
A dedicated CipherSonic engineer assigned to your pilot for the duration of the program, available for direct technical questions.
White-glove onboarding and integration support tailored to your infrastructure — cloud, hybrid, or on-premise.
Preferential pricing locked in for the life of the relationship — your reward for helping us validate the technology.
Joint press, case studies, and speaking opportunities to highlight your organization's leadership in privacy-first AI.
Your feedback directly shapes our roadmap. Founding participants have a formal channel to steer product priorities.
Is This For You?
The Private Compute Program is designed for organizations that are serious about AI adoption but have hit the wall on data privacy. You're a fit if:
You handle sensitive, regulated, or confidential data that prevents full AI adoption.
You want to use AI on real production data but cannot expose it to an external AI provider.
You have a specific AI workload or use case in mind and a team that can support a pilot integration.
You can commit to a 30-day structured pilot and provide honest feedback on the results.
What Makes a Good Pilot?
The strongest applications describe a pilot that is all four of the following:
An actual production-adjacent workload with real data, not a synthetic demo — so outcomes are meaningful.
Data that cannot be sent to a cloud AI provider without encryption — the exact problem we solve.
Clear success metrics you can evaluate — accuracy, latency, throughput, cost savings, or compliance outcomes.
Meaningful business impact if successful — a result worth sharing and building upon.
Limited to 10 Organizations
The first cohort is intentionally small. We want to go deep with each founding participant — not spread thin across dozens of pilots. Applications are reviewed on a rolling basis. The cohort closes when it fills.