Yanerva creates AI communication frameworks that enhance clarity between human intent, software context, and AI output, with privacy-first defaults ensuring customer data remains under your control.
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Enterprise teams are heavily investing in AI-assisted software, but unreliable outputs can lead to workflow confusion, privacy concerns, and adoption risks. Yanerva develops AI communication infrastructure that aligns human intent, application state, and AI-generated guidance, making AI support clearer, more controlled, and easier to trust.
AI often delivers generic responses. Lacking structured application context, AI guidance can become generic, unsupported, or disconnected from the workflow in front of the user, quickly diminishing user trust. With increasing AI integration, it's crucial for AI to remain truthful and accurate.
Many AI assistants depend on external processing patterns that may send sensitive interface context outside the customer environment. Yanerva’s privacy-first approach is designed to keep screen content, application data, and end-user identity out of Yanerva telemetry by default.
When users cannot understand complex software workflows, support demand increases. Context-aware guidance can reduce confusion at the point of use, helping teams improve user experience while protecting support capacity.
Silk Screen is Yanerva’s first product, designed as a drop-in SDK. It serves as an embeddable guidance layer, enabling software to explain itself in context without sending user screen data to the cloud.
Silk Screen functions as a translation layer for interface guidance: applications provide the screen region, context, and rendering surface; Silk Screen converts visible interface context into structured guidance output. It operates between your application and an AI model, structuring the AI's knowledge, limiting its responses, and delivering guidance tailored to the user's specific situation.
Contact YanervaCaptures application state, page context, and user workflow locally. It's then structured into a format the AI can reason about precisely without it having to guess.
You set the rules. Silk Screen's communication infrastructure enforces it. The AI operates within the boundaries you set, not from its own perspective.
No screen data transmitted to external servers by default. Silk Screen is designed for environments where data exposure is not acceptable.
Application state, UI context, and workflow position are captured inside your infrastructure. Nothing is sent externally during this step.
Your predefined context rules and guidance boundaries are applied. The AI operates within a structured envelope, not open-ended generation.
The user receives precise, context-specific guidance inside the software experience that is useful, safe, and scoped to what they actually need and what is actually possible.
Silk Screen processes application context locally. No user screen data is transmitted to external servers by default. Your deployment controls what the AI sees, what it can say, and where guidance runs.
Contact YanervaApplication context is captured and processed locally. Screen data never leaves your infrastructure without explicit configuration.
You define guidance rules, context boundaries, and AI response constraints. Yanerva does not have access to your users’ sessions.
AI output is constrained by structured context rules. Users receive precise, application-specific guidance, not hallucinations.
Structured AI guidance applies wherever software complexity creates friction between users and outcomes.
Reduce time-to-productivity for engineers integrating complex internal platforms and APIs.
Deflect support tickets by giving enterprise users structured, in-context guidance at the moment of confusion.
Surface contextual guidance inside your product without sending user data to a third-party AI service.
Assist users in comprehending multi-step processes and conditional logic without needing to read documentation.
Educate users on the practical applications of your product within their specific workflows, rather than relying on seldom-read knowledge bases.
Implement AI guidance in healthcare, finance, and legal sectors where cloud data exposure is prohibited.
Yanerva aims to partner with innovative software teams to build privacy-first AI guidance layers that help users understand complex applications in real time. Let's discover if we're the ideal fit for your goals.