Right now, interacting with Artificial Intelligence is like speaking to a brilliant stranger. It has ingested the entirety of the internet, it possesses vast generalized knowledge, but it knows absolutely nothing about you. Because it lacks your specific context, its utility hits a hard ceiling. It can answer trivia, but it cannot navigate the nuances of your daily life.
To make Conversate truly useful in high-stakes professional setting - boardroom negotiations, technical interviews, closed-door sales pitches - it requires context. But herein lies the friction: professionals cannot, and should not, upload confidential pitch decks, NDAs, or proprietary health data into a generic, public AI model.
Today, we are introducing Conversate 2.0, an update built entirely around context injection. But before we explain the capability, we must first explain the architecture of trust that makes it possible.
True intelligence requires context. The premise for context is privacy.
The Context Paradigm: From guessing to understanding.
With Conversate 1.0, we delivered real-time transcription and basic conversational assistance. It was a passive observer. With Conversate 2.0, we are shifting from transcription to active understanding.
This is driven by a new feature: Prep Notes.
Before entering a session, users can now directly upload documents, meeting briefs, or specific contextual prompts into the Even App. Once the conversation begins, the AI doesn't just read the room—it reads the room through your specific perspective.
If you are a consultant stepping into a tense negotiation, the G2 does not just transcribe what the client is saying. It cross-references their statements against the brief you uploaded, surfacing relevant keywords, fact-checking claims, and projecting suggested answers directly onto your monochrome HUD. It acts as a second, infallible memory, specifically tailored to the exact meeting you are in.
This is our first major step toward Contextual AI. In the near future, this will evolve into a persistent Personal Knowledge Base (KB) utilizing Retrieval-Augmented Generation (RAG). The G2 will not just assist you; it will compound in utility, learning your specific operational constraints over time.
The Architecture of Trust: Defending your data.
We engineered the Even G2 without a camera. We did this because we design for the wearer, not the viewer, deliberately bypassing the social stigma and surveillance concerns that have plagued other smart glasses. That exact same philosophy applies to our data architecture.
- Zero-Training Policy: We do not train on your life. Any documents uploaded as Context, and any audio transcribed through Conversate, are explicitly excluded from training our foundational models.
- Ephemeral vs. Persistent: Your data is handled with strict boundaries. Live transcripts are entirely yours to export, save, or permanently delete. Context files uploaded for Prep Notes live in a securely siloed environment, used only for the duration of your active session.
- Permission Scoping (Even Hub): This privacy-first approach extends to our developer ecosystem. Third-party applications built for the Even Hub operate in a sandboxed environment. They do not inherit core app permissions by default. A plugin must explicitly declare its need for the microphone or network access in its code, and the user must explicitly grant it before the app can run.
Private by Proxy: Bring Your Own Agent.
For most users, our secure cloud architecture is the ideal balance of speed and privacy. But we recognize that for a specific subset of our community—cybersecurity professionals, deep-tech builders, and enterprise executives—cloud processing is simply a non-starter. They demand absolute data sovereignty.
For these users, we offer the open route: Bring Your Own Agent (BYOA).
Through our OpenClaw integration, you can completely bypass our cloud infrastructure. If you do not trust external servers, you can route the G2’s input and output directly to a local Large Language Model running on your own hardware (e.g., a Mac Mini at your desk) via a secure tunnel like Tailscale.
We provide the hardware interface; you provide the brain. The ultimate privacy is running your own infrastructure, and the G2 is the only display built to support it seamlessly.
What’s Next?
Intelligence is not useful if you are afraid to use it. By securing the data layer first, we unlock the true, uninhibited potential of Conversate. The tools are now in your hands. We officially launched the Conversate 2.0 to all users on March 26th.
Update your firmware, upload your context, and experience the difference of entering a room fully prepared. Next, we will cover our efforts to cater to our builders.
