Co-Founder & CEO
Since 2025 · 1 yr
Profile summary: Harvard Business School MBA

Belfort provides purpose‑built hardware and software that accelerates Fully Homomorphic Encryption, enabling real‑time computation on encrypted data without ever decrypting it. Its accelerator chips and optimized FHE stack deliver sub‑second latencies at scale, available as a cloud service on AWS or on‑premises appliances for enterprises in finance, government, healthcare, and crypto.
Raised to date
$6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round



ACN+3$6M · Seed
Announced Sep 2025
Disclosed cumulative: $6M
Co-Founder & CEO
Since 2025 · 1 yr
Profile summary: Harvard Business School MBA
Co-Founder & Chief Scientist
Since Mar 2025 · 1 yr 8 mos
Profile summary: Google Visiting Faculty Researcher
Co-Founder & CTO
Since Jul 2024 · 2 yrs 4 mos
Profile summary: Microsoft Silicon Security Intern
Hardware Engineering Lead
Since Jul 2025 · 1 yr 4 mos
Profile summary: Intel FPGA Security Intern
Organizations handling sensitive data must decrypt information before processing it, exposing the data to potential breaches, insider threats, and regulatory violations. Existing secure execution methods, such as trusted execution environments, still rely on trusted hardware and can be vulnerable to hardware exploits.
Belfort provides purpose-built hardware and software that accelerates Fully Homomorphic Encryption (FHE) to enable real-time computation on encrypted data without ever decrypting it. By integrating custom acceleration chips with optimized FHE algorithms, Belfort reduces processing times from minutes to sub‑second latencies, making encrypted compute practical for production workloads. The platform is available both as a cloud service on AWS and as on‑premises appliances, allowing seamless integration into existing pipelines while preserving end‑to‑end data confidentiality. Belfort’s solution abstracts the complexity of FHE, offering developers a drop‑in accelerator that works with standard FHE libraries and delivers scalable performance for high‑stakes applications.
Primary customers are enterprises in finance, government, healthcare, and crypto that need to process sensitive data—such as transaction records, patient/genomic information, or confidential intelligence—while maintaining strict privacy and compliance requirements.