Time By Ping, which uses AI to help companies automate timesheets, raises a $36.5M Series B led by ACME and Anthos, bringing its total funding to $55M+
Kyle Wiggers / VentureBeat :
Context & Ripple Effects
Time By Ping's raise is the second act of an arc that started with its $13.2M Series A in late 2019, when the pitch was narrowly AI that tracks lawyers' hours and fills out their timesheets. The new $36.5M Series B led by ACME and Anthos lifts total funding past $55M and signals the company is positioning beyond legal as the market for automated time capture matures.
The round lands in a crowded but well-funded lane: When I Work raised $200M for shift scheduling and timesheets just months earlier, and later entrants like Sona have pushed AI deeper into scheduling, HR, and payroll workflows. Investors are treating the administrative layer of workforce management as a consolidation target.
First-order effects
- Time By Ping gains the capital to scale its passive time-capture product beyond the legal vertical where it proved out, with ACME and Anthos now on the cap table alongside Upfront Ventures.
- Buyers evaluating timesheet automation now have a funded specialist option sitting directly against generalist workforce platforms like When I Work, whose timesheet features overlap with Time By Ping's core product.
Second-order effects
- Incumbent scheduling-and-timesheet vendors face pressure to match AI-native automatic capture rather than manual entry, since a competitor that records work as it happens removes the data-entry step their products still rely on.
- Follow-on investors in adjacent workflow automation — the pattern behind rounds like Sona's and Assembled's — get a pricing benchmark for how much a Series B in this category costs, shaping valuations for the next wave of workforce-AI startups.
Third-order effects
- If passive capture becomes the default, timesheet software stops being a form users fill in and becomes measurement infrastructure feeding billing, payroll, and productivity analytics — shifting value toward whoever owns the work-data stream.
- That structural shift points toward pricing models decoupled from seats: vendors paid on captured billable hours or automated outcomes rather than per-user licenses, a migration already visible across AI workflow tooling.
The trend: Enterprise back-office software is being rebuilt around AI that captures work automatically, pulling timesheets, scheduling, and payroll into one well-funded automation stack.