The silent layer that connects every service.
OTOS doesn’t replace systems. It adds a safe, non-invasive Awareness Layer that notices real journeys across NHS + VCSE + community support — so people aren’t lost between hand-offs.
What OTOS adds
- Daily continuity (check-ins between appointments)
- Drop-off detection before crisis or relapse
- Joined-up visibility across services (anonymised)
- Evidence of what works, where, for commissioning
One measure of success
World-class services. No shared journey.
The gap isn’t provision — it’s awareness across provision. People with complex lives “bounce” between nodes, and no single place can see the whole story.
The current picture
Directories show what exists — but not what actually happens after someone clicks, attends, drops off, or disappears. Services struggle to evidence pathways, not just contacts.
- Repeated stories across rooms
- Silent drop-offs between appointments
- Ping-pong referrals and long waits
- Crisis escalations that could be prevented earlier
OTOS reframes the problem
This isn’t about replacing services or platforms. It’s about adding a thin, safe layer that tracks movement — not identity — and feeds back insight where the system needs to respond differently.
- Continuity happens in the days between
- Care happens in moments
- Relapse is prevented between services — not inside them
A simple, safe, 5-step flow.
Designed around how people actually move through NHS, SUN, VCSE & community hubs — without changing a single existing process.
How OTOS works
Person enters via “X”
Any entry point: GP, SUN, H.A.Y., community hubs, charities, peer groups, A&E, crisis lines.
Receive OTOS Network ID (opt-in)
A lightweight, pseudonymised identifier. Identity stays with the originating service.
Skyhawk matches support
Suggests best-fit support across NHS + VCSE, respecting capacity, eligibility and local routes.
Movement tracked anonymously
Tracks flow patterns and drop-off points — not detailed clinical notes or identifiers.
ICS receives joined-up signals
Aggregated, anonymised flow/outcome signals feed dashboards and community-hub evaluation.
What the Awareness Layer looks like in motion
- Entry: A soft “pulse” appears at the point of first contact.
- ID: The pulse becomes a small node (pseudonymised).
- Matching: Routing intelligence suggests a stabilisation route.
- Drop-off detection: Red fade where someone “bounces” or stalls.
- Re-engagement: Light-touch prompts reconnect support.
- System outcomes: Stability ↑, crisis contacts ↓, early support ↑.
Safe by design. Aligned with NHS standards.
OTOS is intentionally built as a safe Awareness Layer — not a replacement record system. Each organisation remains fully in control of its own data.
Safe by design
- Minimum viable data: Only high-level journey signals — never clinical notes or identifiers.
- Pseudonymisation at source: Identity stays with the originating service.
- No cross-organisation sharing without consent and lawful basis.
- No integration required with NHS systems — OTOS sits lightly on top.
- No stored personal profiles: Only flow patterns, drop-off points and anonymised metrics.
Result: No clinical risk, no operational risk, no infrastructure burden.
Aligned with NHS standards
- DSPT / UK GDPR / Caldicott aligned approach to transparency, consent and security.
- DTAC-ready for digital transparency and governance expectations.
- Public-data-only for service discovery (no credentialed access / scraping).
- Partners keep control of their own records.
- Awareness Layer generates anonymised system intelligence.
Designed so governance teams can approve a pilot rapidly.
Clear evidence. Real movement. Zero disruption.
A small, controlled pilot can evidence joined-up visibility, drop-off reduction and early-help uplift — without changing any service workflow.
Pilot duration
12–16 weeks
Enough time to monitor engagement, crisis dip points, and support patterns.
Participants
50-person cohort
High-value stabilisation cohort recruited through partner routes.
Target outcome
Continuity → stability → fewer relapses
Reduce relapse, reduce A&E attendance, increase connection and recovery continuity.
What the pilot measures
- Pathway visibility — number of cross-service movements tracked anonymously.
- Service-match accuracy — % of recommended routes aligning with best-fit support.
- Engagement lift — increased activity triggered by hubs & peer groups.
- Drop-off reduction — fewer people “bouncing” and disappearing.
- Pressure relief — surfacing early-help options sooner.
How success is evidenced
- Weekly engagement snapshots at each node.
- Movement heatmaps — where people enter, move and fall off.
- Bottleneck detection via repeated stalls.
- ICS-level outcome lines tied to prevention and early help.
- Co-produced insight via lived experience commentary.
Let’s build this together.
OTOS is ready for a pilot. Looking for clinical leaders, commissioners, and partners who want to fix continuity at source.