Complete makes startup pay legible.

The most expensive line item at almost any startup is people, and for years the tool most companies used to manage it was a spreadsheet - color-coded, macro-riddled, guarded by one finance person who flinched every time someone asked to see it. This is a strange way to run the single largest thing a company spends money on. Complete, a San Francisco company founded in 2022, is built on the premise that the strangeness is a design problem, and design problems have solutions.

Here is the setup. When you join a startup, someone hands you an offer with a base salary, some number of stock options, a strike price, a vesting schedule, and a benefits summary. You are then asked to make one of the more consequential financial decisions of your life based on numbers that are, by construction, hard to compare. Is 40,000 options at a $200M valuation better than a $20,000 higher salary? Most people cannot say. Many companies, if we are being honest, would rather they not ask. That opacity is not exactly a bug in the old system - it is closer to a feature that everyone tolerated because building the alternative was tedious.

Complete’s answer is to make the numbers legible. Its interactive offer replaces the PDF with a portal that shows a candidate the full, long-term value of what they are being offered - cash, equity, bonus, and benefits, modeled over time rather than frozen at a single confusing snapshot. The bet, which is a reasonable one, is that a candidate who understands an offer says yes to it faster, and an employee who can see what they are worth is less likely to go looking. Transparency, it turns out, reads as confidence. And confidence closes.

The thing about trust

CEO Rani Mavram, who was on a product team at Google before this, likes to frame compensation less as a math problem than as a trust problem. Her long-term hope - and she has said this out loud, which is the sort of thing that either becomes a mission statement or an inside joke - is that every company someday publishes its compensation philosophy on its careers page, right next to the privacy policy. Not because a regulator forces it, but because it becomes the normal, boring, expected thing to do. It is a genuinely radical idea dressed in the plainest possible clothes.

Co-founder and CTO Zack Field, who did engineering stints at companies including Uber and Opendoor, met Mavram in the same Y Combinator batch. Their pitch was straightforward enough that Accel partner Amy Saper wrote the seed check in 2022: the founders paired empathy for early-stage messiness with an understanding of what scaling companies actually need, and they had already signed customers ranging from young startups to public companies like Vercel and DataStax. That is an unusually broad customer range for a company that young, and it is the kind of detail investors notice.

Enter Compy, who does the boring parts

The newer chapter is AI, and Complete has been sensible about where it points it. Rather than bolting a chatbot onto the front of the product, the company built Compy, an agent aimed squarely at the work people teams dread: prepping a compensation cycle, building salary bands, drafting offers, running the analysis that makes a raise defensible. If you have ever run a comp cycle, you know this is exactly the work worth automating - not the strategy, the assembly. The strategy is where the human judgment lives, and Complete’s whole thesis is that freeing people to spend time there is the point.

Underneath all of it is plumbing: 100+ integrations connecting applicant tracking systems, HRIS platforms, and cap tables, so that a candidate’s data flows into an employee record and out to the equity ledger without anyone re-keying a number into a spreadsheet at 11pm. It is unglamorous, and it is most of the moat. Compensation data is scattered across a half-dozen systems that were never designed to talk to each other, and the company that quietly makes them agree is doing something more durable than a slick UI.

What you can actually do with it

Practically, Complete is a tool for a few different people in a company at once. A founder can model what a hiring plan does to the cap table before committing to it. A people team can run a comp cycle with approval workflows instead of email threads. A finance team can forecast a compensation budget without a fire drill. And an employee can open a total rewards statement and, maybe for the first time, actually understand the full value of the job they already have. None of these are flashy. All of them are the sort of thing that, done badly, quietly costs a company its best people.

Complete is still small - roughly 23 people - and the compensation-software space is not empty; it competes with names like Pave and Carta’s comp tools, among others. But it has picked a clear position and held it: pay should be collaborative, transparent, and intentional, and the software should make being transparent the easy choice rather than the brave one. Whether the whole industry follows Mavram to the careers-page-privacy-policy future is unknowable. What is clear is that Complete is building as if the answer is yes.