Sanitized Ai has been accepted into NVIDIA Inception, NVIDIA's program for startups building with AI and accelerated computing. Membership gives our team access to NVIDIA technical expertise and tooling, Deep Learning Institute training, and NVIDIA's global network of AI startups and investors.
For the organizations we work with, the practical question is simple: what does this change about the product? The short answer is that it strengthens the part of Sanitized Ai that matters most, which is the detection that decides what sensitive data never reaches an AI tool.
Why an AI security company needs deep AI expertise
Sanitized Ai catches PII, PHI, financial data, and intellectual property in an AI prompt, then redacts or blocks it before the prompt reaches the AI tool. Every part of that depends on detection being both accurate and fast.
If detection misses a client's SIN in a pasted spreadsheet, the data is gone, because once a prompt is submitted to a public AI tool it can't be recalled. If detection flags too much, people stop trusting the warnings and route around them with personal accounts. Neither outcome protects anyone.
Getting that balance right is an AI problem as much as a security problem. An AI security vendor has to understand how modern AI systems are built and deployed, not just how data leaks. NVIDIA Inception keeps our engineering work close to that field.
What Inception membership gives our team
The program supports our work in three concrete ways:
- AI engineering expertise. Access to NVIDIA's technical resources and experts as we develop and tune the detection behind our product.
- Deep Learning Institute training. Hands-on AI training from NVIDIA that keeps our team current as models, tools, and attack patterns change.
- A global startup network. A place in NVIDIA's worldwide community of AI startups, with the partner and investor reach that brings.
Inception joins our existing work with the Rogers Cybersecure Catalyst. Together, the two programs reflect the two sides of what we build: security discipline and AI depth.
What stays the same
Our approach doesn't change. We still believe that banning AI tools fails, because people reach for them anyway, and that the control has to act on the data, at the prompt, before submission. That covers 16+ AI tools people actually use, including ChatGPT, Claude, Gemini, Copilot, and Perplexity, plus file uploads.
We also keep the education layer at the centre of the product. Every blocked prompt explains, in plain language, what was flagged and why. A near-miss becomes a short lesson in the moment, and over time your team gets measurably better at using AI safely.
What Inception adds is a stronger foundation under that approach: better-informed detection work, a team that keeps learning, and connections across the AI ecosystem our customers depend on.
What comes next
Over the coming months, we'll use the program's resources to keep improving how accurately Sanitized Ai recognizes sensitive data across languages, file types, and the AI tools your teams adopt next. You can read more about the program on our NVIDIA Inception partner page.
If your organization is working out how to let people use AI without exposing client data, regulated records, or crown-jewel IP, request a demo. We'll show you what that looks like in your environment.