A security platform that makes AI usage across the organization visible and detects and blocks risks contained in input and output. It connects DLP and audit logging to generative AI operations.
An evaluation design for continuously assessing AI quality and safety. It brings together business-specific quality metrics, OWASP-aligned security evaluation, model comparison, and decision-ready reporting.
A private AI environment for running generative AI on-premises or on a closed network. We design an execution foundation, including dedicated GPUs, to bring AI to operations that demand confidentiality.
A Forward Deployed Engineer embeds on-site and implements the UI, integration with existing systems, business workflows, and the AI model end to end. The same team stays responsible through post-deployment improvement.
GENFLUX, provided by Elith Inc., is an AI Agent Platform for building AI workflows without code. With AI safety and security features built in as standard, it addresses the production-operation and safety challenges that arise after a PoC. It analyzes and improves generative AI responses to support safe operation.
Elith's AI education program is a corporate reskilling course that builds practical, job-ready skills for everyone from executives to engineers. Flexible customization and online delivery are available. Start with a free consultation.
Prove the trustworthiness of your AI use through third-party certification. Elith provides one-stop support for obtaining the AI Governance C Certification, guiding you from current-state analysis and policy development through documentation and audit response — helping you get certified in as little as about two months.
Understand AI usage, stop dangerous input and output, and keep the evidence.
A security platform that makes AI usage across the organization visible and detects and blocks risks contained in input and output. It connects DLP and audit logging to generative AI operations.
Turn "looks good" into evidence you can release on.
An evaluation design for continuously assessing AI quality and safety. It brings together business-specific quality metrics, OWASP-aligned security evaluation, model comparison, and decision-ready reporting.
Keep critical data out of places you cannot control.
A private AI environment for running generative AI on-premises or on a closed network. We design an execution foundation, including dedicated GPUs, to bring AI to operations that demand confidentiality.
Rather than handing over a model, we build the operation that actually gets used.
A Forward Deployed Engineer embeds on-site and implements the UI, integration with existing systems, business workflows, and the AI model end to end. The same team stays responsible through post-deployment improvement.
AI safety features built in as standard. A no-code AI agent platform that supports building safe AI workflows.
GENFLUX, provided by Elith Inc., is an AI Agent Platform for building AI workflows without code. With AI safety and security features built in as standard, it addresses the production-operation and safety challenges that arise after a PoC. It analyzes and improves generative AI responses to support safe operation.
A hands-on learning program that accelerates your organization's AI adoption
Elith's AI education program is a corporate reskilling course that builds practical, job-ready skills for everyone from executives to engineers. Flexible customization and online delivery are available. Start with a free consultation.
Prove the trust in your AI use — in as little as about two months.
Prove the trustworthiness of your AI use through third-party certification. Elith provides one-stop support for obtaining the AI Governance C Certification, guiding you from current-state analysis and policy development through documentation and audit response — helping you get certified in as little as about two months.
AI is revolutionizing scientific research, as seen with AlphaFold, winner of the 2024 Nobel Prize in Chemistry. This course provides a systematic look at AI for Science, from the big picture to practical applications.
Covers everything from model selection to MLOps, developing talent who can drive real-world development projects. Includes PoC exercises using in-house data.
A JDLA-certified program. Learn everything from deep learning theory to implementation in PyTorch, and gain eligibility to sit the E Certification exam upon completion.
Master everything end-to-end, from building LLM applications and optimizing prompts to RAG patterns and evaluation metrics. Also covers how to integrate with in-house systems.
From taking stock of business processes to designing automation scenarios, learn through hands-on practice how to use LLMs effectively even without an engineering background.
An intensive short-term program on themes such as developing an AI roadmap aligned with business strategy, investment decisions, and organizational design. Also covers many overseas case studies.