Work is digital. The experience of doing it should be visible.
The average knowledge worker loses over half their day to fragmented attention and tool-hopping — invisible to most leaders.
When work is spread across apps and devices, it is hard to see where teams lose focus or need support. Momentum helps you identify those patterns.
Decisions about headcount, tooling, and workload deserve data — not anecdotes from the loudest voice in the room.
One view of workforce health and digital experience signals
Momentum connects productivity patterns, attendance, endpoint health, and AI adoption so leaders can understand what may be affecting teams at work.
From workplace signals to a better workday
Bring together supported productivity, attendance, device, and AI signals.
See trends, patterns, and risks in one clear view.
Coach teams, address risks, and make informed decisions.
Built for teams that want to lead with clarity
Trusted by the teams who run on it
Everything leaders need. In one view
Desktop agents on Windows, macOS, and Linux stream activity into five tightly connected views — from one person's minute-by-minute day to the whole organisation's risk and health picture.
Replay any workday, minute by minute
Every workday, replayed minute by minute — active vs. idle, app usage, and input activity in one strip.
A performance summary anyone can read in ten seconds
One productivity score and a start-to-finish summary of the day, readable in ten seconds.
One organization. One health score
One Workforce Health Score for productivity, attendance, security, and AI adoption — every department and performer one click away.
Your rules decide what counts as productive
Classify apps as Productive, Non-Productive, or Unmarked, with per-department overrides and workday thresholds you control.
Every device, one risk view
Posture checks, data-movement visibility, and resource use across your whole fleet, ranked by risk.
The intelligence behind better decisions
Real-time KPIs across every team, role, and location — present, focused, and at-risk, at a glance.
Live in/out, working hours, last-seen, and automatic attention alerts for anyone who needs a check-in.
Weekly heatmaps, daily trends, and deep-work vs shallow-work breakdowns that actually mean something.
See where focus really goes by category, with window-level detail and your own productive/unproductive rules.
Hour-by-hour activity, productivity scoring, and trends for fair, supportive one-on-ones.
Adoption percentage, department spread, and weekly trend for the AI assistants your teams actually use.
After-hours patterns and no-break streaks rolled into one risk index that flags people before they quit.
Device posture checks and data-movement visibility, rolled into one fact-based fleet risk view.
Aggregate-first, consent-aware, and audit-ready — monitoring your people will actually accept.
See every team in motion — without watching anyone
One live board, scored fairly and updated in real time.
One lightweight agent. Every desktop in your fleet
Native agents, full IT control — from registration to remote uninstall.
Silent MSI rollout through your existing MDM or GPO.
Notarised, native on Apple silicon, invisible in the dock.
Deb and RPM builds for the major distributions.
Workforce intelligence people can trust
Aggregate-first reporting and consent-aware collection mean your people accept it — not resent it.
A lightweight agent deploys through your existing MDM and produces real insight the same day.
Every score is contextual and role-aware, built to hold up in a one-on-one and a works council.
40+ integrations tie focus to the tools where work actually happens — no manual logging.
SOC 2 Type II, ISO 27001, GDPR alignment, SSO/SCIM, and regional data residency out of the box.
We measure success by protected focus and better decisions — not surveillance theatre.
Simple pricing. No surprises.
Start small, upgrade when the data earns it. Every plan includes the desktop agents and the live dashboard.
Answers before you get started
From what the agent captures to who sees whose data — the straight answers. If yours isn't here, the full FAQ goes deeper.
Browse the full FAQWhat exactly does the desktop agent capture?+
Activity signals: which apps are in use (including offline apps), active vs idle periods, and an aggregate input-activity count per app. That raw signal is classified against your own Productive / Non-Productive / Unmarked app rules — Momentum never decides what counts as work; you do.
Can different departments have different productivity rules?+
Yes. Global app rules set the baseline, and each department can override them — so a social platform can be Productive for Marketing and Non-Productive for Finance, and every score reflects that context.
How do machines get onto the platform?+
Every newly installed agent registers as Pending in Settings → Machines. Admins approve or reject each device — or enable auto-approval — and can later disable agent login or remotely uninstall without touching the machine.
What defines the productivity score, and the Workforce Health Score?+
Your configuration defines the productivity score — workday hours, expected desk hours, target productive hours, office start and end times, and your thresholds. The Workforce Health Score rolls that score up alongside attendance, security posture, and AI adoption into one 0-100 read for the whole org.
How does Momentum track AI adoption and burnout risk?+
AI adoption reads which AI assistants are active and how usage spreads across departments week over week. Burnout risk blends after-hours activity, days over ten hours, and no-break streaks into a single risk index per person — both are separate, opt-in signals alongside your productivity and attendance data.
We run multiple companies. Can one Momentum handle that?+
That's what multi-tenancy is for. Each organisation runs as its own tenant with its own users, departments, app rules, and settings, and you can switch between organisations with the tenant selector — data stays cleanly separated per tenant.
