All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
DataKrypto sells FHEnom for AI, encryption its current pages describe as keeping AI models, prompts, and outputs scrambled while they run, though an earlier independent description had parts of the pipeline inside a secure enclave. DataKrypto holds NIST validations of its encryption modules and lists its product on Google Cloud's marketplace. In March 2026 NIST validated the FHEnom module at FIPS 140-3, backing the site's badge, though at the standard's entry level. Its near-zero speed-loss claim on large models has no published benchmark, only word that a chip maker verified it. The company reported 2023 turnover above 3 million euros across an unnamed client portfolio, but with no named customer or published benchmark the technology runs ahead of the proof.
| Description | DataKrypto develops FHEnom for AI, a fully homomorphic encryption framework that keeps AI model weights, prompts, and outputs encrypted as ciphertext through training and inference so the AI runs without decrypting the data or the model. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | Rome, Italy (US office in Burlingame, California) | [f3] |
| Latest funding | EUR 3 million investment (March 2024, P101 and Cysero) | [f2] |
| Product | What it does |
|---|---|
| FHEnom for AI | Fully homomorphic encryption framework that encrypts AI model weights, prompts, and outputs so inference and training run on ciphertext, using trusted execution environments only for key custody. |
| FHEnom | Fully homomorphic encryption engine for data and transaction protection that performs search and arithmetic on encrypted data, validated by NIST as the DataKrypto Fully Homomorphic Encryption Module. |
| FHEnom for Images | Fully homomorphic encryption for image data, part of the DataKrypto FHE module NIST validated under FIPS 140-2, that keeps images encrypted while they are processed. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
FHEnom for AI encrypts AI model weights and architecture with fully homomorphic encryption so they stay ciphertext in GPU memory during execution, and encrypts prompts and queries through inference. This protects the AI model and runtime AI data and is mapped to the AI Defense Matrix. [f4]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 3/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
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A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 2/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 2/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | SecurityWeek: DataKrypto Launches Homomorphic Encryption Framework to Secure Enterprise AI Models | press | 2026-07-03 |
| f2 | DataKrypto: P101 SGR and Cysero VC investment announcement (founded 2021) | official | 2026-07-03 |
| f3 | DataKrypto: P101 and Cysero investment announcement, Rome headquarters | official | 2026-07-16 |
| f4 | AI Defense Matrix Catalog: DataKrypto FHEnom for AI | other | 2026-07-03 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | SecurityWeek: DataKrypto Launches Homomorphic Encryption Framework to Secure Enterprise AI Models “FHEnom for AI is a zero-knowledge framework designed to protect customized and proprietary AI models. Central to the solution is the use of a trusted execution environment (TEE).” | press | 2026-07-03 |
| s2 | DataKrypto Technology page: encrypted-inference architecture “Every stage of the AI pipeline operates on ciphertext. There is no point, from ingestion to output, where data exists in plaintext on the infrastructure.” | official | 2026-07-03 |
| s3 | DataKrypto Solutions page: secure inference, training, sovereign compute, model IP “Inference performance is identical to plaintext, with ~0.6ms total encryption overhead for 4K tokens.” | official | 2026-07-03 |
| s4 | NIST CMVP Certificate #4677: DataKrypto Fully Homomorphic Encryption Module, FIPS 140-2 Overall Level 1, active, sunset 9/21/2026 “The DataKrypto Fully Homomorphic Encryption Module is a cryptographic engine for DataKrypto's Fhenom and Fhenom for Images.” | regulatory | 2026-07-03 |
| s5 | DataKrypto: P101 SGR and Cysero VC investment announcement (March 2024, founded 2021) “the CYSERO EuVECA fund enter the capital of DataKrypto with a total investment of 3 million Euros carried out equally.” | official | 2026-07-03 |
| s6 | Pulse 2.0: interview with DataKrypto co-founder and CEO Ravi Srivatsav (Oct 2024) “Most recently, I was a partner at Bain & Company, advising Fortune 500 companies. Previously, I served as the Chief Product and Commercial Officer at NTT Research. I have also been an entrepreneur, founding ElasticBox and leading it to a successful acquisition by CenturyLink.” | press | 2026-07-03 |
| s7 | DataKrypto Company page: leadership and R&D team “Ravi Srivatsav Co-Founder and CEO Luigi Caramico Founder, CTO and Chairman Paolo Campoli Chief Growth Officer Carla Mascia Head of Cryptography Research” | official | 2026-07-03 |
| s8 | DataKrypto: FHEnom for AI on Google Cloud Marketplace after ISV Startup Springboard (March 2026) “our completion of the Google Cloud ISV Startup Springboard Program and the availability of our flagship product, FHEnom for AI, on the Google Cloud Marketplace.” | official | 2026-07-03 |
| s9 | DataKrypto FHEnom for AI (AI Defense Matrix Catalog) “Fully-homomorphic-encryption framework that keeps AI model weights, embeddings, and user data encrypted in ciphertext through training, inference, and deployment.” | other | 2026-07-03 |
| s10 | Security Boulevard: DataKrypto and Tumeryk encrypted-guardrails partnership (June 2025) “Applies Fully Homomorphic Encryption (FHE) across raw data, embeddings, model weights, prompts and responses, ensuring all data remains encrypted, even during runtime.” | press | 2026-07-03 |
| s11 | DataKrypto trust probe: trust./security. subdomains, /security, /trust paths absent, no SOC 2, footer self-hosts ISO 27001 and FIPS 140-3 badges (2026-07-03) “FIPS 140-3 Validated Quantum-Resistant by Design Zero Plaintext Zero Performance Hit” | official | 2026-07-03 |
| s12 | DataKrypto Technology page: benchmark verification claim “Performance claims independently verified by a third-party xPU manufacturer. Full benchmark results to be published shortly.” | official | 2026-07-03 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | SecurityWeek: DataKrypto Launches Homomorphic Encryption Framework to Secure Enterprise AI Models “FHEnom for AI is a zero-knowledge framework designed to protect customized and proprietary AI models. Central to the solution is the use of a trusted execution environment (TEE).” | press | 2026-07-03 |
| s2 | DataKrypto Technology page: encrypted-inference architecture “Every stage of the AI pipeline operates on ciphertext. There is no point, from ingestion to output, where data exists in plaintext on the infrastructure.” | official | 2026-07-03 |
| s3 | DataKrypto Solutions page: secure inference, training, sovereign compute, model IP “Inference performance is identical to plaintext, with ~0.6ms total encryption overhead for 4K tokens.” | official | 2026-07-03 |
| s4 | NIST CMVP Certificate #4677: DataKrypto Fully Homomorphic Encryption Module, FIPS 140-2 Overall Level 1, active, sunset 9/21/2026 “The DataKrypto Fully Homomorphic Encryption Module is a cryptographic engine for DataKrypto's Fhenom and Fhenom for Images.” | regulatory | 2026-07-03 |
| s5 | DataKrypto: P101 SGR and Cysero VC investment announcement (March 2024, founded 2021) “the CYSERO EuVECA fund enter the capital of DataKrypto with a total investment of 3 million Euros carried out equally.” | official | 2026-07-03 |
| s6 | Pulse 2.0: interview with DataKrypto co-founder and CEO Ravi Srivatsav (Oct 2024) “Most recently, I was a partner at Bain & Company, advising Fortune 500 companies. Previously, I served as the Chief Product and Commercial Officer at NTT Research. I have also been an entrepreneur, founding ElasticBox and leading it to a successful acquisition by CenturyLink.” | press | 2026-07-03 |
| s7 | DataKrypto Company page: leadership and R&D team “Ravi Srivatsav Co-Founder and CEO Luigi Caramico Founder, CTO and Chairman Paolo Campoli Chief Growth Officer Carla Mascia Head of Cryptography Research” | official | 2026-07-03 |
| s8 | DataKrypto: FHEnom for AI on Google Cloud Marketplace after ISV Startup Springboard (March 2026) “our completion of the Google Cloud ISV Startup Springboard Program and the availability of our flagship product, FHEnom for AI, on the Google Cloud Marketplace.” | official | 2026-07-03 |
| s9 | DataKrypto FHEnom for AI (AI Defense Matrix Catalog) “Fully-homomorphic-encryption framework that keeps AI model weights, embeddings, and user data encrypted in ciphertext through training, inference, and deployment.” | other | 2026-07-03 |
| s10 | Security Boulevard: DataKrypto and Tumeryk encrypted-guardrails partnership (June 2025) “Applies Fully Homomorphic Encryption (FHE) across raw data, embeddings, model weights, prompts and responses, ensuring all data remains encrypted, even during runtime.” | press | 2026-07-03 |
| s11 | DataKrypto trust probe: trust./security. subdomains, /security, /trust paths absent, no SOC 2, footer self-hosts ISO 27001 and FIPS 140-3 badges (2026-07-03) “FIPS 140-3 Validated Quantum-Resistant by Design Zero Plaintext Zero Performance Hit” | official | 2026-07-03 |
| s12 | DataKrypto Technology page: benchmark verification claim “Performance claims independently verified by a third-party xPU manufacturer. Full benchmark results to be published shortly.” | official | 2026-07-03 |
| s13 | NIST CMVP Certificate #5175: DataKrypto Module for FHEnom, FIPS 140-3 Overall Level 1, active, sunset 2029-08-26, validated 2026-03-10 “Module Name DataKrypto Module for FHEnom Standard FIPS 140-3 Status Active Sunset Date 8/26/2029 Overall Level 1” | regulatory | 2026-07-16 |
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