The requirements that have governed enterprise software for decades remain in effect when AI enters the building:
Identity systems that govern access
Databases that enforce integrity
Audit trails that satisfy regulators
Observability stacks that surface failures
They apply to the agent the same way they apply to the batch job, the form handler, and the legacy application from the 1980s. New capabilities arrive inside that reality, on the enterprise's terms.
Agent identity is the existing identity layer, extended. Agent audit is the existing audit framework, extended. Orchestration, permissions, rate limiting, observability, fault tolerance: each agentic concern lands on the enterprise primitive that already carries the same shape of problem. An engineer fluent on the enterprise side can now build agentic enterprise software.
Very, very cool enterprise software.
Every agent decision emits a structured reasoning trace: what tools were called, what data was retrieved, what the agent considered, what it concluded, and why. Every token tracked. Full job lineage from start to finish. All records structured, queryable, and ready for compliance, debugging, or continuous improvement. Humans and other agents can inspect, verify, and intervene at any point in the flow.
SOC2 Type 2, HIPAA, GDPR, NIST AI RMF and ISO 42001-ready.
Independent pen testing, RBAC+ABAC, enforced scopes, threat detection and escalation.
Every AI decision with full reasoning chain: structured, queryable, exportable.
Thousands of concurrent agents on virtual threads, self-optimizing hardware and token utilization.
Agents detect errors through structured validation and correct course without corrupting state.
Frontier or open, commercial or self-hosted. One platform supports them all.
Private cloud, managed cloud, on-prem, hybrid or even air-gapped, running on AWS, Azure, GCP or anywhere else.
We are with you every step of the way, whichever path you choose. Deploy our Java-native operating system for your engineers to build their own agents, let our forward-deployed engineers implement turnkey solutions for you end-to-end, or combine both approaches.
Our founders have successfully automated over 100 workflows across operations, scientific, commercial, and regulatory processes. With Redouble AI's Silverlake operating system, you benefit from a multi-agentic AI system designed from the ground up for enterprise use cases, built to grow with your team and engineered to adapt to your evolving workflows in real time.
We serve all core stakeholders:
The Silverlake operating system provides full security, observability, and governance so that you know your AI systems are safe, accountable, and auditable.
We enable Java engineers to write their own production-grade agents in 30 lines of code, and the Silverlake operating system takes care of the rest. Silverlake is built on Nucleo, our open-source runtime.
Work with an operating system and have a team by your side that automates your specific workflows, solves your specific bottlenecks, and becomes your success.
We don't just sell a tool. We deliver a solution that works. Our success team is forward-deployed, working alongside you to realize full production success and ready to support you at any time.
Our experienced team helps uncover and illuminate use cases where AI automation delivers measurable ROI for your organization, cutting through the noise to focus on what will actually move the needle.
We understand that adopting a new AI platform is a multi-stakeholder process. Careful planning, thoughtful communication, and clear alignment are what we pride ourselves on.
Once deployed, our operating system grows with you. As your team expands and your processes evolve, the system adapts, and our engineers are there to ensure you are getting maximum value along the entire journey.
Enterprise-grade encryption, role- and attribute-based access controls, configurable data residency, and flexible data handling policies, with all relevant certifications.
Multi-tier permission enforcement across lifecycle stages, seamlessly integrated with your existing access management systems.
Comprehensive audit trails, platform monitoring, and full operational analytics including real-time dashboards.
A scalable architecture with a Java enterprise backend and a flexible integration framework that supports all standard enterprise data sources and infrastructure.
Ingest hundreds of files and interrogate them with natural language queries. Full source references on every output. Automatic anomaly and red flag detection.
Agents that autonomously gather data from multiple sources, analyze it, cross-reference findings, and produce comprehensive reports with full provenance.
Claims processing, regulatory document drafting, portfolio monitoring, clinical data validation, due diligence: entire business processes orchestrated by agents, with experts in control at the checkpoints that matter.
Best practices, methodologies, and expert judgment turned into governed, auditable, reusable tools that emulate how the organization actually works.
See the Silverlake operating system in action.
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