Own your AI. On-premise.
Verifiable compute for AI work that has to be audited. Built to be checked, not trusted. Run inference and training inside your perimeter. Hold your own keys. Train across your sites with federated learning, without exposing raw data. Every result leaves a receipt your auditors can check. Your proprietary data never becomes someone else’s training data.
An organization is a grove.
Your team’s machines are its trees. Same membership, same ladder, same score as any other grove, with no separate tier to negotiate. Identity, roles, and access are enforced in the app; group messaging and cluster coordination are end-to-end encrypted.
Four problems underneath every industry.
Defense & aerospace
Verifiable compute for primes and the tier-N supply chain, where proof and data sovereignty are non-negotiable.
Primes run AI work that cannot leave a controlled perimeter. Tier-N suppliers face cybersecurity requirements that exceed what most can build in-house. Citrate handles both, on your hardware, behind your perimeter, with your keys.
Supplier qualification, part provenance, MOQ variance, classification gating, cross-organization transfer with cryptographic provenance, and exportable audit bundles run on the same primitives.
Federated learning lets multiple programs train together without sharing raw data. Every result is checked, not trusted, and leaves an auditable receipt ready for third-party review.
- ●Run inference on your own floor with provable provenance on every result
- ●Train fine-tunes across programs with federated learning, no raw data shared
- ●Export audit bundles in 3PAO, DCAA, and DCMA-ready format
- ◐CMMC Level 2: in remediation (commercial track, reviewed 2026-05-15)
- ◐FedRAMP Moderate: planned (sponsor-gated, on-prem offered first)
Manufacturing
Federated learning for predictive maintenance. Supply-chain provenance on the record. Compute that respects your trade secrets.
Manufacturers face a hard trade-off: pool data across plants to train better models, or keep process IP behind the wall. Citrate aggregates model updates across plants without exposing raw parameters, and proves the aggregation was done correctly.
Results are deterministic. A model trained in one plant produces the same output in another.
For supply-chain integrity, the provenance primitives that serve defense primes adapt to automotive recalls, semiconductor export control, and FDA-regulated production.
- ●Predictive maintenance across plants without sharing process parameters
- ●Supply-chain provenance for recall and counterfeit-detection workflows
- ●Audit-ready records for regulator filings (NHTSA, FDA, FAA, others)
Healthcare & pharma
Learn across institutions without moving patient data. Built for federated, audit-ready medical AI.
Healthcare AI carries one hard constraint: pool insight across institutions without moving patient data, while producing evidence that satisfies HIPAA, HITRUST, FDA SaMD, and IRB review.
Citrate is built for that shape. Genomics consortia, rare-disease networks, and multi-institution clinical research networks train models locally, prove the aggregation, and keep a complete audit lineage on the record.
Your data stays yours, and stays protected. The network runs the work and leaves the receipt.
- ●Rare-disease model training across institutions
- ●Imaging AI fine-tuning without de-identification risk
- ●Federated clinical-decision-support deployments with full audit trails
Banking & insurance
Federated fraud detection. SR 26-2-aligned model risk audit. AI governance that survives regulator review.
Federal Reserve SR 26-2 (April 2026, superseding SR 11-7) raised the bar for AI model risk management. The EU AI Act Annex III raised it again for institutions with European exposure. Both ask the same question: how do you prove your AI is governed when the vendor controls the infrastructure?
On Citrate, the network is yours, the model weights are yours, and the audit trail is yours. Every privileged action by every AI agent, human-mediated or automated, leaves a record you can tell apart and replay.
Federated fraud detection across an industry consortium produces the same provable provenance, without anyone surrendering their data.
- ●Federated fraud and AML model training across an industry consortium
- ●Model risk audit aligned with SR 26-2 and the EU AI Act
- ●AI agent decision logs separating automated from human-mediated actions
Energy & grid
Distributed compute that respects grid constraints. Federated learning for grid resilience. NERC-aligned audit.
The data-center load problem is real. NERC's Level 3 Alert on hyperscaler-driven voltage events made it explicit. Citrate runs the inverse: sub-MW behind-the-meter compute distributed across facilities, with provable load attestation suitable for regulator filings.
For federated learning across utilities, including grid resilience, demand-response optimization, and equipment failure prediction, the same network that serves defense and pharma serves the grid, with NERC CIP-aligned audit on the record.
- ●Sub-MW behind-the-meter distributed compute
- ●Federated grid-resilience and demand-response models
- ●NERC CIP-aligned audit, exportable on every settled job
The same foundation, across sectors.
Is there an on-prem alternative to ChatGPT for institutions?
Yes. Citrate runs inference and training inside your perimeter, on hardware you own, so your proprietary data never becomes someone else's training data, and every result leaves a receipt your auditors can check.
Can I run Citrate on-premises or air-gapped?
Yes. Citrate can run entirely on-premises or fully air-gapped, with no outbound dependency, and data at rest is sealed with AES-256-GCM under a quantum-safe key exchange.
Can several institutions train one model without sharing data?
Yes. Federated learning lets the lessons travel while the raw data stays in each building, so institutions train together without exposing their records.
Is Citrate HIPAA or CMMC certified?
Citrate supports HIPAA-aligned and CMMC-boundary on-prem deployment, and holds no such certification today. The compliance posture page carries a status and a date on every claim: on-prem is available now, CMMC and SOC 2 are in remediation, and FedRAMP is on a published roadmap.
Who holds the keys?
You do. Identity, roles, and access are enforced in the app, group messaging and cluster coordination are end-to-end encrypted, and Citrate Inc. does not hold member keys.
Do not see your industry? Talk to us anyway.
The foundation generalizes. The same four problems show up everywhere. The first conversation reveals fit faster than any page can.