AI Should Be Useful At Work
Teams should be able to use capable models for real work without routing every request through slow manual approvals.

Remova helps companies put AI to work without losing control of sensitive data, model access, policy enforcement, audit visibility, or team-level spend.
Why we exist
AI is already changing how teams write, research, analyze, code, support customers, and make decisions. The challenge for companies is no longer whether employees will use AI. The challenge is whether that usage happens in a governed environment.
Remova was built for organizations that want the productivity of ChatGPT, Claude, Gemini, Llama, Mistral, and other capable models while keeping practical control over sensitive data, policy boundaries, user access, audit trails, and budget ownership.
Our view is simple: employees should not have to choose between doing their best work and protecting the company. Governance should be built into the way AI is used every day.
Teams should be able to use capable models for real work without routing every request through slow manual approvals.
Sensitive data needs to be detected, masked, governed, or blocked before it reaches an external model.
Security, legal, finance, and IT leaders need a clear record of usage, policy events, access, and spend.
Companies should be able to use approved models from different providers while keeping one consistent control layer.

Founder
Ozzy's founding thesis is that AI will become standard business infrastructure, but only if companies can trust how it is used. Remova reflects that belief: give teams access to strong models, then surround that access with the controls a serious organization needs.
As founder, Ozzy shapes Remova around the practical questions leaders ask before expanding AI across departments: What data can leave the company? Which models are approved? Who used AI for what work? Which teams are spending the most? Which policy events need review?
The result is a platform built for the daily reality of enterprise AI: employees need speed, security teams need control, finance teams need predictability, and executives need confidence that adoption is measurable and governed.
What we build
Remova sits between company users and approved AI models so teams can work with AI while administrators maintain policy, security, and cost visibility.
Employees get a practical place to use approved models, while administrators keep central control over access, rules, and visibility.
Prompts and files can be checked for confidential data, personal information, internal identifiers, and other risk signals before model use.
Organizations can define what is allowed, what should be flagged, and what should be blocked across teams and use cases.
Department-level budgets and usage views help companies understand where AI spend goes and keep costs predictable.
Our commitments
Remova is designed for companies where AI use has to work for employees, security, procurement, legal, finance, and leadership at the same time.
Model access should be broad enough for productive teams and narrow enough for responsible companies.
Audit trails should make governance provable instead of dependent on policy documents alone.
Security controls should reduce risk without forcing employees back into unmanaged shadow AI tools.
Finance teams should be able to see who is spending on AI, which teams are growing usage, and where limits are needed.
AI adoption should work for the whole company, not only for technical teams.
A straightforward way to use AI for writing, analysis, research, operations, coding, and everyday work.
Access controls, policy events, data-protection workflows, and audit visibility that make AI usage governable.
A clearer view of AI adoption, team-level usage, spend trends, and the controls needed to expand safely.
Remova gives teams access to useful AI while keeping the company's data, policy, audit, and budget requirements in the same operating model.