Soberagents provides a deterministic safety platform for enterprise AI agents, replacing probabilistic prompt‑based controls with a math‑driven logic kernel that enforces corporate guardrails. Their patented infrastructure delivers sub‑50 ms monitoring, VPC‑native deterministic API layers, and full auditability to block rogue actions and ensure compliance with clinical and liability standards, enabling organizations to move AI deployments from beta to production with confidence.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI agents built on large language models produce nondeterministic outputs, leading to hallucinations, compliance violations, and liability concerns, especially in regulated industries such as healthcare.
Solution
Soberagents offers a deterministic, hardware‑grade execution layer that replaces probabilistic LLM behavior with mathematically verified guardrails. The platform provides a VPC‑native deterministic API that enforces hard‑coded safety logic for agentic actions. Sub‑50 ms monitoring intercepts non‑compliant outputs before they reach production, while continuous drift detection and full audit logs give enterprises verifiable compliance and liability protection. By applying clinical‑grade diagnostic rigor to model outputs, the solution enables regulated sectors to move AI deployments from experimental to production with guaranteed safety.
Target Audience
Primary customers are enterprises in regulated domains—such as clinical diagnostics, pharmaceutical research, and financial services—that require provable safety and compliance for AI‑driven agents.
Features
- Deterministic execution kernel that guarantees 100 % adherence to corporate and regulatory guardrails
- VPC‑native API layer delivering low‑latency (under 50 ms) monitoring and automatic blocking of rogue actions
- Real‑time drift‑detection scoring to identify model behavior changes that could breach compliance
- Comprehensive audit trail providing full traceability of agent decisions for liability reporting
- Patent‑pending hardware‑grade infrastructure designed for high‑throughput, production‑scale AI workloads