Modernize core systems and collaborate, without exposing plaintext.
Enterprise systems hold an organization's most valuable data, and real value increasingly comes from sharing it across teams and partners. 4Chains enables analytics, AI, personalization, and collaboration while data stays encrypted.
Bring AI and analytics to your ERP, without exposing it.
ERP systems hold your finance, HR, procurement, and operations data. Putting analytics or AI on top of it has meant exposing that data, exactly what governance won't allow.
Run analytics and AI on ERP data while it stays encrypted. 4Chains is drop-in compatible with the databases behind your systems of record, including SAP HANA, Oracle, and PostgreSQL, so there's no re-platforming.
Key benefits
Modernize ERP
Add analytics and AI to systems of record without moving or decrypting their data.
Secure analytics
Compute over encrypted ERP data, closing the plaintext-in-memory gap.
AI-ready ERP
Make core enterprise data reachable for AI, safely and by design.
A company adds encrypted analytics to the database behind its ERP. Finance and operations get the dashboards and AI they wanted, while the underlying records stay encrypted in use.
Personalize for customers, without seeing their data.
Retail and commerce want personalization and customer analytics. But customer privacy is non-negotiable, and the two goals usually collide.
Deliver personalization and recommendations without exposing customer information. Profiles and behavior stay encrypted, and scoring and matching run on ciphertext, so no readable profile is ever exposed.
Key benefits
Personalization
Tailor experiences without decrypting who the customer is or what they did.
Loyalty & CRM
Run customer analytics and CRM on encrypted profiles.
Recommendations
Serve relevant results without handing behavior to a platform.
A retailer personalizes offers from purchase history while that history stays encrypted. Customers get relevance; the business never holds a readable profile to leak.
Combine data across organizations, expose none of it.
Collaboration across organizations creates enormous value. But there's been no way to combine datasets without each party exposing its own.
Share only encrypted insight, not raw data. Multiple parties compute on their combined data while every party's inputs stay encrypted and controlled.
Key benefits
Safe collaboration
Work across organizations with no party ever revealing its own data.
Multi-party analytics
Compute joint results across combined datasets, encrypted throughout.
Privacy-preserving sharing
Exchange insight, not plaintext. Control never leaves the data owner.
Partners combine datasets to create shared value, like a joint risk model or a market benchmark, while each party's raw data stays encrypted and in its own hands.
Advance care with AI, without exposing patients.
Healthcare institutions hold the most sensitive data in the world. Patient-privacy obligations can rule AI out entirely, so the data that could improve care goes unused.
Run analytics on encrypted medical and genomic data, and bring AI to it without exposing plaintext. Studies and models reach the data while sensitive values stay tokenized or in-house, meeting the strictest privacy obligations.
Key benefits
Patient privacy
Medical and genomic data stays encrypted for analytics, and only tokenized or de-identified content is ever exposed to a model.
Medical AI
Bring AI to clinical and research data that privacy kept off-limits.
Secure analysis
Run predictive models and studies without exposing patient records.
Federated learning
Train across institutions without centralizing or exposing patient data.
Across healthcare institutions, encrypted analysis lets predictive models run over patient and genomic data. Care advances while records stay encrypted from start to finish.
Measure Scope 3 emissions, without exposing supplier data.
Prime contractors must report Scope 3 (supply-chain) emissions, but suppliers hold back accurate data. If the numbers can be reverse-engineered, they reveal production volumes, energy use, and unit costs. So suppliers submit vague figures, or nothing at all. Accuracy and confidentiality collide.
Suppliers submit their emissions data encrypted. The prime contractor computes Scope 3 totals directly on the ciphertext, without ever decrypting any single supplier's figures. Accurate rollups, zero exposure of trade secrets.
Key benefits
Accurate Scope 3
Auditable totals instead of rough estimates or blanks.
Supplier trust
Suppliers share real data because raw figures stay encrypted and can't be reverse-engineered into prices or volumes.
Regulation-ready
Meet CSRD, CBAM, and disclosure mandates with verifiable numbers.
A manufacturer rolls up carbon emissions across hundreds of suppliers for its Scope 3 report. Each supplier's data stays encrypted end to end, and only the aggregate result is revealed. No one can back out a single supplier's volumes or unit costs from the total.
Can you use this in your company?
Bring a real workload. We'll show you AI and analytics running on it, without it ever being exposed.