Optic shows what employers, investors, institutions, and peers may infer from your digital traces — then helps you repair what's wrong, stale, or easy to misread.
The first audit creates a baseline view of your footprint — the patterns it reveals, and the places where a small correction can prevent a costly misunderstanding.
Authorize a limited set of sources and define scope. You control what Optic sees.
Map signals locally on device. Raw personal data never leaves your machine.
See the likely readings, contradictions, and gaps between your intent and your signal.
Clarify the story with evidence. Prioritized actions ranked by impact and effort.
Track whether the footprint improved. Measure before and after.
Optic starts where misread signals have direct financial or professional consequences.
Prepare for fundraising, diligence, and partner discovery. Understand what investors see when they run background research before the first meeting.
Understand your hiring signals before they shape an interview. See what recruiters and hiring managers infer from your public and semi-public footprint.
Align public reputation before attention compounds. Audit the narrative your work creates before an audience forms opinions you can't revise.
Inspect, repair, and maintain your personal footprint on your own terms. Know what the internet says about you before someone else tells you.
Optic maps every authorized source into a clear picture of what data you've produced and where it lives — before telling you what it means.
Learn more →Optic models likely audience interpretations: what an investor, employer, or collaborator might conclude from your signals before you can speak for yourself.
Learn more →Every audit produces concrete, ranked repair actions — ordered by impact and ease. Not a list of everything wrong. A plan for what's worth your time.
Learn more →Optic is not surveillance, not a public score, and not a dashboard for institutions to use against people. The product only works if trust is part of the architecture.
Analysis runs locally. Sensitive signal streams — private drafts, communication patterns, calendar rhythms — never touch a cloud vendor.
No coercive export. No institutional dashboards. No buyer-side products. You decide what gets processed and when the audit ends.
Optic produces no public profile of you. It produces no score a third party can query. The output belongs to the subject and no one else.
Founders, executives, and high-stakes professionals pay for a one-time perception audit before a consequential event: fundraising, hiring, board review.
Signal monitoring, drift detection, and preparation tooling for professionals whose reputation is always in motion. Subscription-based ongoing access.
Users may contribute anonymized, privacy-preserving calibration data to improve system accuracy — benefiting from the network instead of being extracted by it.
As AI agents become the first readers of people — screening candidates, summarizing founders, routing capital — every individual will need an agent of their own.
The most common things people ask before their first audit.
Only what you authorize. Optic can analyze email metadata (not contents), calendar patterns, public profiles, documents you choose to share, GitHub activity, and public web traces. You define the scope before each session. Optic never accesses anything you haven't explicitly connected.
No. Raw personal data stays on device. Optic processes locally and produces a private report that belongs to you. We don't sell data, don't build third-party profiles, and don't maintain institutional dashboards. The output belongs to the subject and no one else.
A private report containing: the signals that exist across your authorized sources, the narrative a reader might construct from those signals, contradictions between your intent and your footprint, risks where perception may diverge from reality, and a ranked list of repair actions ordered by impact.
No. This is a hard architectural boundary, not a policy. Optic builds no non-user dossiers. There is no buyer-facing product, no institutional API, and no way to run an audit on a person without their explicit participation. The product only works because trust is structural.
The signals have always existed. AI makes them cheap to assemble. A decade ago, a background researcher had to manually piece together fragments. Now, an AI can synthesize a professional narrative from scattered signals in seconds — and individuals still have no equivalent tool to understand what that narrative says.
Reputation management typically works on public content suppression and SEO. Optic works on private understanding. It doesn't suppress or spin — it gives you an honest reading of what exists, what it implies, and what's worth changing. The output is evidence and clarity, not managed narrative.
If the world is going to infer you
Private reputation intelligence for founders, executives, and professionals whose opportunities are shaped before they enter the room.