EPIP
How we turn workplace activity into team-level insight—without monitoring individuals.
Work happens across remote, hybrid and in-office teams. Organisations need to understand where work flows smoothly, where it slows down, and where bottlenecks emerge—without watching or monitoring individual employees.
EPIP provides meaningful team-level intelligence while keeping individual employees anonymous.
For this product, the negatives are the point.
There is no setting to switch these on. We never collect the underlying data, so there is nothing to enable.
No screenshots
We never capture or store images of anyone's screen.
No keystroke logging
Typing, shortcuts and inputs are never recorded.
No message content
We read that a task moved, never what was said.
No location or GPS
We never track where anyone physically is.
No individual scores
No personal ratings, rankings or league tables. Ever.
No personal data
No names, emails or identifiers in anything we analyse.
If we can't see it, we can't store it, and we can't leak it. You never have to defend it.
See it in action
Four minutes. The whole platform.
Watch EPIP go from connected tools to decision-ready, team-level insight, with nothing an individual could ever be identified from along the way.
- No sign-up needed
- Sample data only
- Team-level views throughout
What your team leads actually see.
Honest, team-level views. No drill-down to a person exists, because the data to build one was never collected.
Predictive bottleneck alerts
FORECAST-
Handoff delay forming · Design → QAQueue time up 40% over 3 weeks. Likely to slip delivery if unaddressed.
-
Dependency pile-up · Onboarding squadFive workflows waiting on one upstream stage.
-
Recovering · Client servicesCycle time back within normal range after rebalancing.
Recommendations
-
Rebalance QA capacity for two sprintsAddresses the Design → QA handoff. Est. −1.5 days cycle time.
-
Split the shared upstream review stepRemoves the onboarding dependency pile-up. Est. +9% throughput.
Compliance dashboard
LIVE- PII captured
- None
- k-anonymity
- k ≥ 12
- Differential privacy
- On
- Data sources
- 4 · read-only
- Processing record
- Audit-ready
One answer the whole committee can agree on.
A decision like this needs five people to nod. Each of them is waiting to hear one line.
HR Director / CPO
Improve how teams work without ever monitoring how individuals work. Nothing here can be used against an employee.
Operations Director / COO
See exactly where work stalls across hybrid teams, and fix the workflow rather than the people.
Compliance Manager / DPO
A lawful basis you can defend: no PII, anonymised at ingestion, with audit-ready records throughout.
IT Manager / CTO
Read-only metadata integrations, no endpoint agents, nothing capturing screens or keystrokes to secure.
CEO / MD
Efficiency you can stand behind in public: productivity gains with no surveillance scandal waiting to happen.
Built for UK data protection from the start.
Two ideas do the heavy lifting. In plain English:
k-anonymity, in one sentence
Every figure we show is true for a group of at least twelve people, never one. If a number could point to a single individual, it simply isn't shown.
Differential privacy, in one sentence
We add calibrated statistical noise. The team trend stays accurate, while any single person's contribution stays deniable, even to us.
Two different things wearing the same word.
"Productivity software" can mean surveillance, or it can mean insight. The difference runs through the entire approach, not one feature toggle.