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Executive Summary: Which are the Top 10 Homomorphic Encryption Companies to Watch?
- Fhenix (Israel): Brings encrypted computation to Ethereum using fully homomorphic encryption (FHE) for confidential DeFi applications.
- Inco (USA): Builds a confidentiality layer for Web3 with encrypted smart contract execution and programmable access control.
- Zodor (India): Provides a tokenization platform with compliance-enforced identity and regulated digital fundraising.
- Synnax Technologies (UAE): Offers decentralized AI-powered credit intelligence using homomorphic encryption and zero-knowledge protocols.
- LatticaAI (Israel): Delivers privacy-preserving neural AI computing with a hardware-agnostic homomorphic encryption abstraction layer.
- Primus (Hong Kong): Creates a zkTLS and zkFHE interoperability layer for secure Web2, Web3, and AI data exchange.
- Cycle Network (Singapore): Develops an omni-chain infrastructure secured by homomorphic encryption and verifiable state proofs.
- CruxDecussata: Builds a messaging app that processes encrypted messages in real time without exposing plaintext.
- Symbiosis AI (India): Provides an AI infrastructure platform secured with homomorphic encryption for privacy-preserving LLM operations.
- Wodan AI (Belgium): Enables encrypted AI processing for computer vision and language models through secure containers and APIs.
Global Startup Heat Map highlights Emerging Homomorphic Encryption Companies to Watch
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends, plus 150M+ patents, news articles & market reports, we identified the top homomorphic encryption solutions.
The Global Startup Heat Map below highlights emerging homomorphic encryption startups you should watch in 2026, as well as the geo-distribution of 700- startups & scaleups we analyzed for this research.
According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 Startup Hubs for Homomorphic Encryption are London, Los Angeles, New York, Amsterdam, and Barcelona.
Explore Emerging Homomorphic Encryption Startups to Watch in 2026
We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging homomorphic encryption startups work on solutions ranging from confidential AI model processing and fully homomorphic encryption (FHE) to omni-chain interoperability infrastructure and image-based protection.
1. Fhenix develops a Fully Homomorphic Encryption (FHE) Platform
- Founding Year: 2023
- Location: Tel Aviv, Israel
Israeli startup Fhenix brings encrypted computation to Ethereum by enabling private logic with its fully homomorphic encryption-powered platform. It performs computation directly on encrypted data without decrypting input, thereby preserving confidentiality throughout processing.
It integrates into existing Solidity-based environments and connects with Uniswap v4 using just one line of code, eliminating the need for new virtual machines or complex rollups.
It also protects sensitive on-chain activities such as trades, governance votes, and AI model runs through encryption while maintaining composability and regulatory alignment.
It delivers a confidential computing infrastructure that empowers developers to build DeFi applications with privacy at their core and preserves users’ strategic edge.
2. Inco advances Decentralized Applications (dApps) Privacy
- Founding Year: 2023
- Location: New York City, USA
USA-based startup Inco develops a confidentiality layer for Web3 that integrates privacy into existing blockchains. It enables encrypted smart contract execution, programmable access control, and hidden on-chain randomness while preserving interoperability.
Its two solutions, Inco Lightning and Inco Atlas, balance performance and privacy through trusted execution environments, fully homomorphic encryption, and multi-party computation.
The company abstracts cryptographic complexity, allowing developers to build with familiar EVM tools while securely handling sensitive data. By embedding privacy directly into blockchain infrastructure, it expands secure use cases and strengthens trust across decentralized ecosystems.
3. Zodor provides Confidential AI Model Processing
- Founding Year: 2025
- Location: Bangalore, India
Indian startup Zodor offers a tokenization platform for real-world asset token offerings. It issues security-style tokens for approved businesses through its custom Maskade Layer-1 blockchain and Masque ID identity system. It embeds compliance by enforcing KYC at the wallet and smart-contract level, and it structures offerings on a regulated tokenization protocol.
It avoids equity dilution and delivers secondary-market liquidity. Thus, providing fully managed tokenization that includes compliance support, and integrating access to global investors alongside loyalty mechanics and carbon-credit compatibility.
It unites fundraising, compliance, liquidity, and identity within a single regulated ecosystem. It delivers an infrastructure that empowers businesses to raise capital securely, transparently, and efficiently through digital tokens with built-in investor access and legal alignment.
4. Synnax Technologies builds a Decentralized Credit Intelligence Platform
- Founding Year: 2023
- Location: Dubai, UAE
UAE-based startup Synnax Technologies provides a credit intelligence platform that aggregates predictions from a decentralized machine-learning network that analyzes companies’ financial metrics in real time. It applies a bias-resistant consensus mechanism across models and uses advanced cryptographic techniques.
It includes homomorphic encryption and zero-knowledge protocols to protect data privacy while generating forward-looking insights such as financial ratios, probability of default, and company status.
The platform enables companies to validate their creditworthiness without revealing sensitive information. It also supports private-entity privacy and public-company breadth, and provides always-current predictive signals rather than static historical ratings.
The company empowers lenders, borrowers, and analysts with timely, robust credit assessments that facilitate access to capital and improve financial decision-making.
5. LatticaAI enhances Neural Homomorphic AI Computing
- Founding Year: 2024
- Location: Israel
Israeli startup LatticaAI offers a privacy-preserving inference platform that enables AI models to process encrypted data. It encrypts user input often directly in the browser, and leverages fully homomorphic encryption to ensure that neither the company nor the AI provider ever sees the raw data during inference.
It incorporates Homomorphic Encryption Abstraction Layer (HEAL), a hardware-agnostic API, to bridge FHE software with specialized hardware and optimize encrypted computation.
In addition, the platform supports use cases such as sentiment analysis, health prediction, and sharpening demos by demonstrating encrypted model evaluation without compromising data privacy.
The platform thus empowers AI providers to deploy models securely and lets end-users query with full confidence in their data’s confidentiality while providing a practical, privacy-centric approach to inference.
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6. Primus simplifies Web3 Data Verification
- Founding Year: 2023
- Location: Hong Kong
Hong Kong-based startup Primus develops a cryptographic interoperability layer that connects off-chain data with blockchain and AI systems. It verifies data authenticity using zero-knowledge transport layer security (zkTLS) and enables secure computation on encrypted inputs through zero-knowledge fully homomorphic encryption (zkFHE).
It integrates verified data into decentralized finance, healthcare, and AI applications while preserving privacy and preventing tampering. Furthermore, it offers developer-friendly APIs for adoption. This way, the startup ensures secure, reliable, and privacy-preserving data exchange between Web2, AI, and Web3 environments.
7. Cycle Network offers an Omni-Chain Interoperability Infrastructure
- Founding Year: 2023
- Location: Singapore
Singaporean startup Cycle Network develops a fully homomorphic encryption framework that enables computations on encrypted data without decryption. It integrates this capability with verifiable state aggregation, decentralized sequencing, and zero-knowledge hardware acceleration to secure multi-chain operations.
It processes sensitive inputs privately, strengthens interoperability through trustless state proofs, and reduces latency across networks. It delivers a secure cross-chain infrastructure that preserves confidentiality while ensuring efficient and reliable decentralized computation.
8. CruxDecussata designs a Privacy-focused Messenging App
CruxDecussata, founded in 2023, offers a privacy-focused messaging app based on homomorphic encryption. It processes messages while keeping them encrypted, so the system performs computations without exposing plaintext. Moreover, it applies advanced cryptographic methods to allow encrypted data operations, enabling secure, private communication even on untrusted infrastructure.
It highlights real-time encryption of messages and metadata resilience, ensuring that message content remains inaccessible during transit and storage. The app prioritizes preserving data confidentiality through its architectural design.
The startup thus enhances privacy by letting users exchange messages that remain encrypted during processing, providing secure, private communication with integrity and confidentiality.
9. Symbiosis AI advances Homomorphic Encrypted Safety
- Founding Year: 2024
- Location: Bangalore, India
Indian startup Symbiosis AI develops an AI infrastructure platform that integrates large language models through its LLM Fusion engine, routing tasks to the most effective model. It secures sensitive data with homomorphic encryption via SecureDataBridge by enabling encrypted computations without compromising privacy.
It accelerates similarity retrieval with VectorStore and InferRAG, while CRAFT Training combines retrieval augmentation and fine-tuning to enhance accuracy. It supports ExtendedReach LLMs for processing multi-million-token contexts and offers scalable deployment through InferGen with cloud or on-premises options.
10. Wodan AI builds an Image-based Security Gateway
- Founding Year: 2024
- Location: Ghent, Belgium
Belgian startup Wodan AI develops a secure gateway that enables AI models to process encrypted data without exposing sensitive information. It uses fully homomorphic encryption to let machine learning, computer vision, and language models operate directly on encrypted inputs, outputs, and intermediates.
The startup provides a client-side API for encryption, decryption, and key management, paired with a server runtime that deploys models in secure containers. It integrates usage tracking and billing features while maintaining compatibility with existing workflows, ensuring applications function without disruption.
Through this approach, Wodan AI enables privacy-preserving AI deployment across cloud, on-premises, and hybrid infrastructures, supporting sensitive use cases in regulated industries such as finance, healthcare, and defense.
Discover All Emerging Homomorphic Encryption Startups
The 10 homomorphic encryption companies showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry, or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!
