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Time to Trust

For enterprises that want to deploy AI agents in business-critical use cases, VIJIL shortens time-to-trust by automating AI red-team and blue-team tasks. Using private cloud services from VIJIL, AI developers can measure and improve the reliability, security, and safety of an agent throughout its lifecycle.

Founded by senior technologists who built deep learning capabilities and responsible AI practices into Amazon SageMaker and Splunk SEAL, Vijil is helping organizations build and operate intelligent agents that people can trust. Advised by professors and research scientists who pioneered deep learning and LLM security, Vijil is committed to open innovation through research collaboration with academic partners and non-profit organizations, open-source contributions to relevant projects, and strategic alliances with industry partners who support open foundation models. Backed by legendary venture capital firms, the Vijil team is on a mission to help everyone build and run AI models that are inherently reliable, secure, and safe.

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Team

Vin Sharma

Built deep learning platform for Amazon SageMaker; private cloud for BMW autonomous cars; open source software at Intel; web, Linux, and HPUX security at Hewlett-Packard

Zdravko Pantic

Built LLM training engine for Amazon SageMaker, made TensorFlow & PyTorch train at scale on AWS; led graphics engineering at Intel

Subho Majumdar, Ph. D.

Author Practicing Trustworthy ML; Led responsible AI teams at Amazon Twitch, Splunk, & AT&T Labs; 40+ papers and 20+ patents

Zubin Aysola

Previously at Amazon Twitch; Working on NLP applied science since BERT; led a data-science team to a successful exit. When not thinking about language models, either listening to vinyl, hitting the slopes, or trying to shoot under 80 on the links.
CMU, University of Michigan

Pradeep Das

Previously at Amazon Music, Oracle, and Viiv Labs; co-founder & CTO of Adya (acquired by Qualys). Passionate about designing and building large-scale ML systems with a focus on NLP/LLMs. Enjoys reading, hiking, cooking, & doing nothing.

Akrura Gordillo

Previously at Riva Health, Viiv Labs, Solvvy, and Polycom. Over 20 years of software engineering experience. Most recently, led threat modeling and cybersecurity analysis of medical device to prepare for FDA approval.
University of California, Berkeley

Leif Hancox-Li, Ph. D.

Previously at CapitalOne, evaluating LLMs for company-wide use. Working in the field of responsible AI since 2019, including building explainability solutions, establishing responsible AI processes, and publishing interdisciplinary research at venues like FAccT. Tries to spend at least one week a year walking in the mountains.

Subaru Ueno

Previously at Amazon, Oracle, and Accenture. Working on AI/ML security engineering since 2019. Most recently, led red-teaming for Amazon AI models. Indiana University

Anuj Tambwekar

Previously at Microsoft. Research interest in trustworthy AI, ML for human safety, and autonomous vehicles.
University of Michigan

Alexander Beach

With over 12 years of software development experience at a number of startups and large companies including iHeartRadio and Tesla. Most recently at BrainCorp, built the cluster for ML training jobs on GKE. University of Illinois at Urbana-Champaign

You

Applied Scientist, Software Developer, or Designer

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Advisors

Leon Derczynski

LLM Security pioneer
Professor, ITU Copenhagen
Principal Scientist, Nvidia
Founder - Garak & Nemo Guardrails
Lead - OWASP LLM Top 10

Ruslan Salakhtudinov

Deep Learning pioneer
UPMC Professor of CS at CMU
Senior Fellow of CIFAR, Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow,
Google Faculty Award, Nvidia Pioneers of AI award

Bratin Saha

Chief Product and Technical Officer, Digital Ocean
Former VP and GM, AWS AI

Joe Spisak

Product Director & Head of Generative AI Open Source, Meta
Previously Google, Amazon

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