INTRODUCING ENVECTOR
A Trust Engine for the AI Era.
Compute on encrypted data. No decryption. No exposure.
CHOSEN BY INDUSTRY LEADERS
of embeddings can be reverse-engineered
exposing sensitive data
Most AI leaves your data out in the open.
Enterprises are rapidly deploying LLMs, RAG, multimodal AI, and biometric authentication to unlock new value from their data. These initiatives are powered by vector embeddings: mathematical fingerprints of highly sensitive data like patient records, financial histories, and facial features.
The vector database market is expected to grow from $1.5B in 2023 to $6.5B by 2028 (CAGR 34%)
Join the Wait ListenVector leads the way in AI privacy.
Unlike traditional vector databases that expose sensitive data during decryption, enVector leverages our patented AI Trust Engine™ without exposing data.
Powered by advanced homomorphic encryption, the AI Trust Engine™ lets you run machine learning models, analytics, and vector searches on sensitive data, while keeping it fully encrypted.
AI Trust Engine: Before & After
Before
Vulnerable to attacks
Plain text
John, a Californian, has diabetes
Embedding Vector
[0.4, 0.2, -0.1 0.7 2.3 84 0.2, .... 0.9]
Enc. Vector DB
HackerEmbedding Vector
[0.4, 0.2, -0.1 0.7 2.3 84 0.2, .... 0.9]
Reverse embeddingPlain text
John, a Californian, has diabetes
After
Protected by enVector
Plain text
John, a Californian, has diabetes
Embedding Vector
[0.4, 0.2, -0.1 0.7 2.3 84 0.2, .... 0.9]
Encrypted Vector
xYonm94Md893KpEW32snE9mx
Enc. Vector DBHackerEncrypted Vector
xYonm94Md893KpEW32snE9mx
Reverse embeddingPeace of mind, from pilot to production.
enVector makes protecting your data easier. It cuts out moments of decryption and operates at 1000x the speed of legacy schemes, without exposing your data to hackers.
Quantum-resistant encryption protocols
1000x faster than legacy schemes
NIST post-quantum standard contributors
Avoid future fines, reputational damage or other penalties
PIONEERING AI PRIVACY WITH GLOBAL LEADERS
What does it mean in the real world?
Real-world use cases where encrypted vector memory becomes the core of trustworthy AI.
Encrypted vector memory
Doctors search patient records directly on encrypted vectors, keeping sensitive data protected.
Image & facial search
Similar faces or images are matched on encrypted embeddings, with no exposure of the originals.
Vibe coding
AI generates code by aligning with encrypted intent vectors, safeguarding user preferences.
Biometric authentication
Fingerprint and face templates are verified under encryption, without disclosing raw data.
Encrypted RAG for LLMs
Chatbots retrieve from encrypted vector stores, preserving document privacy.
Multimodal semantic search
Text, images, and diagrams are compared across encrypted embeddings for secure results.
A trust engine for the AI era
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get started?
Be the first to experience enVector's encrypted AI technology.