The company builds AI agents that prioritize reliability, guaranteeing at least 95% accuracy and aiming for 99% through a two‑sigma approach. Their rollout strategy starts with internal enterprise domains before expanding to user‑facing applications, using the web as a universal interface to deliver behavior‑driven assistance.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle with AI assistants that produce inconsistent or incorrect responses, leading to reduced trust and operational risk. The lack of reliable performance hampers adoption of AI-driven automation in critical enterprise workflows.
Solution
Silverstream develops AI agents that are engineered for high reliability, targeting a baseline of 95% accuracy and aiming for 99% through a two‑sigma statistical approach. The agents are behavior‑driven rather than action‑oriented, allowing them to adapt to complex tasks while maintaining predictable outcomes. Deployment follows an incremental rollout model: agents first operate within controlled internal enterprise domains before being extended to user‑facing applications. By using the web as a universal interface, Silverstream enables seamless integration of its agents across existing web‑based tools and platforms, delivering consistent assistance without requiring extensive custom infrastructure.
Target Audience
Primary customers are large enterprises and organizations that need dependable AI assistants for internal workflows, customer support, and other mission‑critical applications.
Features
- Two‑sigma accuracy framework guaranteeing at least 95% correct responses, with a roadmap to 99% reliability
- Behavior‑centric AI design that focuses on intent and context rather than fixed actions
- Incremental rollout strategy that starts in secure internal environments and scales to public‑facing use cases
- Web‑based universal interface allowing agents to be accessed through standard browsers and existing web applications
- Enterprise‑grade monitoring and analytics to track performance metrics and ensure compliance with accuracy targets