Build and break AI where nothing can leak
Develop on real data, evaluate untrusted models, and red-team your own systems in isolated environments, all off your network.
Full speed on AI, nothing exposed.
AI development and red-teaming means handling your most sensitive data and your least trusted models at once. Replica keeps that work in a governed environment where teams build, test, and probe your own AI systems for weaknesses, without exposing the data, the model, or the network.
Teams are told to move on AI, but the work needs live data and unproven models, exactly what can't safely touch production. So projects stall for exceptions or run on shadow tools. Replica breaks the collision: the work runs in its own isolated environment, and teams keep full speed while the enterprise stays protected.
Review the data-room export and flag high-risk clauses.
- Read 48 source documentsdone
- Extract & rank risk clausesrunning
What AI teams run on Replica
Develop on real data
Train and experiment on sensitive, production-grade data, so nothing leaves and nothing is left behind.
Evaluate untrusted models
Run third-party and open-source models to study behavior and security before they reach production.
Red-team AI systems
Probe your own models and agents with adversarial inputs, and document every finding.
Contain agentic work
Give AI agents a governed space to act in, with a full audit trail on every action they take.
Secure collaboration
Let data scientists, security, and partners work the same AI project under controlled, logged access.
- Environment createdsystem#a1f0
- Policy appliedsystem#b7c2
- Access grantedanalyst 04#4de9
- File savedanalyst 04#9a30
- Audit checkpointreviewer#f22c
Core capabilities
Full-stack isolation
Data, model, and network separated from corporate systems.
Ready in seconds
Stand up an AI environment without an infrastructure project.
Governed and audited
A complete, reviewable record of every action, human or agent.
Disposable environments
Spin up, run, and dispose with nothing left behind.
Managed attribution
Research and test against external systems without exposure.
Open integration
Connect to your existing data and security tooling through an open API.
Questions about AI work on Replica
- Can we experiment with AI on real data safely?
- Yes. Replica runs AI development on sensitive, production-grade data inside a fully isolated environment that never touches the corporate network. The environment is disposable, so when the work ends, no data or model artifacts are left behind.
- How does Replica help red-team AI systems?
- Teams get a contained environment to probe their own models and agents with adversarial inputs, and to evaluate untrusted third-party models before deployment. Every action is recorded, so findings are documented and reproducible without risk to production.
- Can Replica contain autonomous AI agents?
- Yes. Agentic work runs in a governed, isolated environment with a full audit trail on every action, so agents can carry out high-stakes tasks while staying off your network and under human oversight.
- Does AI work in Replica stay off our network?
- Yes. The data, the model, and the tooling all run in an environment separated from corporate systems, with no lateral path back. Governance records are retained for audit; everything else is disposed of with the environment.