Inpher.io
450 Lexington Ave Fl 4, New York City, New York, 10017, United States
Overview
Inpher positions itself as a cryptographic Secret Computing pioneer offering privacy-preserving computing and Privacy-Enhancing Technologies (PETs) for secure multiparty data analytics. The company emphasizes a patented technology and an enterprise-ready product aimed at delivering cryptographically guaranteed trust. Leadership says growth is driven by data privacy compliance and commercial ROI from deriving insights from broader, deeper pools of sensitive data. Inpher is targeting market acceleration and partnerships across telecommunications, finance and healthcare. The announcement cites broader market drivers including Gartner's prediction that 50% of large organizations will adopt privacy-enhancing computation by 2025 and the EDPB's recommendation of split or multi-party processing under the GDPR. The company lists existing investors including Amazon Alexa Fund, JPMorgan Chase & Co, Crosslink Capital, Bowery Capital and Alpana Ventures. Inpher provides an enterprise-ready software platform that delivers turnkey privacy-preserving capabilities in Multi-Party Computation (MPC), Federated Learning (FL) and Fully Homomorphic Encryption (FHE). Its platform enables collaborative and mathematically secure computing so algorithms can learn from encrypted data without seeing or transferring sensitive information. The company has an extensive suite of features and integrations and is expanding across financial services, healthcare, IoT and consumer devices. Inpher says demand for Secret Computing has grown with the proliferation of AI and deeper, more diverse data needs. The company plans to apply the invested funds to accelerate go-to-market activities and to bring its privacy-preserving machine learning capabilities to connected devices and IoT services. Inpher is based at EPFL Innovation Park. Inpher, based in New York City and Ecublens, Switzerland, has developed an advanced cryptographic Secret Computing® platform that keeps data protected while being processed. The platform delivers privacy-compliant analytics to address laws such as Europe’s GDPR and enables machine learning models to be trained on distributed data sources without exposing information. Led by CEO Jordan Brandt, the company raised $10m in a Series A equity round led by JPMorgan Chase & Co., with participation from existing investors Crosslink Capital, Bowery Capital and Polytech Ecosystem Ventures. Inpher intends to use the funds to accelerate growth across global markets and expand adoption among Fortune 500 customers. The financing was announced on 02/11/2018. Inpher develops a software toolkit named _open that encrypts data at inception while supporting search and basic analytical functions without decryption. Its technology lets security-conscious enterprises leverage cloud computing without exposing plaintext to providers. Target industries include banking, insurance, healthcare and IoT platforms. The company moved from private beta with leading companies to a public launch, making the _open toolkit available to the global developer community. The team comprises entrepreneurs, cryptographers and engineers; CTO Dimitar Jetchev is based in Lausanne and is a professor at EPFL, and Jordan Brandt is cofounder and CEO. Inpher is based in Switzerland and Silicon Valley.
- Total raised
- $11M
- Funding rounds
- 4
- Latest round
- Series A
- Latest activity
- Nov 2018
Industries
- Artificial Intelligence (AI)
- Cyber Security
- Machine Learning
- Predictive Analytics
Recent funding
Series A
Nov 2018
$10M
Equity
Feb 2016
$1M