Solutions

Encrypted Al for Every High-Stakes Workload.

FHEnom for AI™ secures the four workloads where plaintext exposure creates the most risk — inference, training, sovereign compute, and model IP protection. No decryption. No trade-offs.

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Secure AI Inference

Secure Inference

Every AI inference request exposes prompts, RAG context, model weights, and outputs in plaintext. FHEnom for AI™ eliminates this exposure entirely. Prompts and RAG context are encrypted at the client, processed through an encrypted tokenizer, and run as ciphertext through the encrypted model. The infrastructure — CPU, GPU, bus, OS — never sees plaintext at any stage. Inference performance is identical to plaintext, with ~0.6ms total encryption overhead for 4K tokens.

Applicable to: Healthcare | Financial Services | Public Sector | Cloud & MSP | Pharma

Prompts are processed in ciphertext space; outputs are converted back without readable tokens ever generated on infrastructure.
Model weights exist only as ciphertext in GPU memory — even NVIDIA’s B200 encrypted memory still decrypts for compute. FHEnom doesn’t.
Every inference session uses a unique cryptographic key, created and destroyed per-session.
Encrypted AI Training

Encrypted Training & Fine‑Tuning

Fine‑tune or train models on regulated, proprietary, or multi‑party data — without the training infrastructure ever seeing the data or the resulting model. The data owner encrypts both the training data and the foundational model with their own keys, then passes them to the training operator. The operator trains on ciphertext: they can measure convergence, but cannot evaluate accuracy — results are sent back to the data owner for validation. The training operator never sees the data, the base model, the gradients, or the fine‑tuned output.

Applicable to: Healthcare | Financial Services | Public Sector | Pharma

The client encrypts both the foundational model and the training data, then hands off to the SI or cloud provider. The operator trains blind.
The trained model is encrypted from creation. It can be deployed on shared infrastructure without exposing architecture, weights, or parameters.
Training gradients remain encrypted throughout backpropagation. Gradient leakage attacks are eliminated.
Sovereign AI Compute

Sovereign AI

Organizations with on‑premises infrastructure need cloud burst capacity — but can’t expose sovereign data to foreign jurisdictions or third‑party operators. With FHEnom for AI™, data is encrypted before it leaves your premises and stays encrypted during transit, processing, and storage on cloud infrastructure. The cloud provider processes ciphertext — they cannot see the data, the model, or the results. Sovereignty is maintained mathematically, not by trusting hardware attestation in a foreign datacenter.

Applicable to: Financial Services | Public Sector | Cloud & MSP | Pharma

Data can be processed in any cloud, in any country. The cloud operator never sees plaintext — so jurisdictional access laws are irrelevant to your data’s confidentiality.
Seamlessly extend on‑prem capacity to cloud without re‑architecting. The FHEnom for AI™ gateway handles encryption/decryption transparently at the boundary.
Sovereignty doesn’t depend on trusting Intel, AMD, or NVIDIA attestation. FHEnom’s protection is mathematical — it works on any hardware, anywhere.
Protect Your Model IP

Model IP Protection

Your proprietary AI model encodes years of R&D, proprietary training data, and competitive advantage. The moment you deploy it, the weights sit in plaintext in GPU memory. FHEnom for AI™ encrypts the model — architecture, weights, and parameters — before deployment. The encrypted model runs on any GPU infrastructure without the infrastructure ever seeing it in plaintext. Share encrypted models with partners, CROs, or licensees — they can run it but never inspect, copy, or reverse‑engineer it.

Applicable to: Healthcare | Financial Services | Public Sector | Cloud & MSP | Pharma

Deploy proprietary models to the most cost‑effective infrastructure — any GPU, any cloud, any region — without compromising the confidentiality of your IP.

Share encrypted models with partners, research collaborators, or cloud compute providers. They can run the model but never inspect, copy, or reverse‑engineer it.

License AI models to third parties without handing over the weights. The licensee runs the encrypted model — they get the outputs, you keep the IP.

Encrypted AI Agents

Agentic Confidentiality

A single agent run exposes far more than a prompt. Planning traces, tool-call arguments, retrieved context, persistent memory, and agent-to-agent messages each cross an infrastructure boundary — and each one traditionally decrypts to do it. Every additional step in the loop adds another window of plaintext. DataKrypto extends encrypted execution across the agentic workflow, protecting model inference, retrieval, persistent agent state, agent-to-agent communication, and tool interactions as data moves through the agent graph. Long-running and multi-agent workflows inherit the same guarantee as a single inference request.

Applicable to: Healthcare | Financial Services | Public Sector | Cloud & MSP | Pharma

Persistent memory is a durable plaintext store in most agent frameworks. FHEnom keeps it encrypted at rest and in use — recall happens without the memory ever being readable.

Arguments passed to tools and the results returned stay encrypted across the boundary. The orchestration layer routes calls it cannot read.

Agents exchange encrypted messages directly. No intermediate broker, queue, or supervising agent sees the contents of a handoff.

Confidential AI doesn't have to wait another day.

Experience FHEnom for Al™ in action.

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