AI-driven companion tool for memory preservation and dementia care.
Business Specialistsensay.ioTracked since 2026-08-193 discovery sources
4.1KBacklinks
732Referring domains
27Domain authority
+4.3%Referring domains · 90 days
Authority & distribution
How strong is Sensay’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
4.1KCurrent snapshot
Referring domains
732Current snapshot
Authority
27Domain authority · category median 22
90-day move
+4.3%Referring domains, last 90 days
At 27, Sensay sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Sensay”
AI-driven companion tool for memory preservation and dementia care.
Business SpecialistSeen 2026-08-19 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.sensay.io
Observed across 3 discovery sources.
Research questions
What the evidence answers about Sensay.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Sensay solve for businesses?
Sensay addresses the problem of knowledge loss when employees leave a company. Every departing employee takes undocumented knowledge with them, leading to an annual cost of knowledge loss estimated at $31 billion, 650 hours spent searching for available information, and 6 months to replace expertise.
What features does Sensay offer?
Sensay offers an AI interviewer named Sophia that captures role nuances and tacit knowledge from departing employees. It provides knowledge query access anytime through Slack and Microsoft Teams integrations and allows on-demand generation of custom documents.
How does the Sensay offboarding process work?
The process involves a simple three-step path: first, quickly set up your organization; second, invite leavers so Sensay can schedule their interview; third, the AI interviewer Sophia captures knowledge, which your team can then query or use to generate documents.
What is Sensay used for, and in what situations?
Sensay is used as an offboarding platform to capture, transfer, and retain critical know-how from departing employees. It is used during employee departure processes, whether for retirement or moving on, to prevent 'brain drain' and ensure institutional knowledge is not lost.
Who is Sensay designed for?
Sensay is designed for organizations and companies that want to retain employee expertise. Over 200 companies are currently using the platform, targeting HR workflows and knowledge management for departing staff.
What is Sensay?
Sensay is an AI-driven offboarding and knowledge capture platform for HR workflows. It uses an AI interviewer to capture knowledge from departing employees and shares it as an AI chat assistant for the team to retain critical know-how.
Behind the lock
Unlock full Sensay intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured