Rippling

OpenAI

Rippling

Rippling uses modular pricing — companies buy the modules they need and pay per employee per month. The core platform (employee directory) is the foundation, with add-on modules for payroll ($8/month per employee), benefits, time and attendance, learning management, IT device management, app management, corporate cards, and expense management.

This modular approach means Rippling can land with one module and expand to many. A company might start with just payroll, then add device management when they realize it's available, then corporate cards.

Average revenue per customer grows as companies add modules.

The compound effect is the strategy. Each individual module might not be the best standalone product, but the integration between modules creates value that no combination of point solutions can match.

When your payroll system, IT system, and expense system all share the same employee database, automation becomes trivial.

OpenAI

OpenAI makes money primarily through API access and subscriptions. The API charges developers per token (roughly per word) for using GPT models in their applications.

ChatGPT Plus costs $20/month for individual users, ChatGPT Team is $25-30/user/month, and ChatGPT Enterprise is custom-priced. Microsoft pays OpenAI licensing fees and also resells OpenAI models through Azure OpenAI Service.

OpenAI's annualised revenue ran past $13 billion during 2025 and kept climbing from there, which is the kind of growth curve that normally only exists in a pitch deck.

Rippling

Parker Conrad's origin story at Rippling is inseparable from his spectacular flameout at Zenefits. Conrad co-founded Zenefits in 2013 as an HR platform for small businesses and grew it to a $4.5 billion valuation in two years.

Then it imploded. Regulators discovered Zenefits employees had used software to cheat on insurance licensing exams.

Conrad was forced to resign as CEO in February 2016. The company he'd built was toxic, and his reputation was in ruins.

Most founders would have retreated. Conrad started Rippling in August 2016 — six months after being pushed out of Zenefits.

His co-founder Prasanna Sankar was a former Zenefits engineer. The insight behind Rippling came directly from the Zenefits experience: companies use dozens of disconnected systems for HR, IT, payroll, and finance.

When you hire someone, you set them up in the HR system, the payroll system, the benefits system, the laptop provisioning system, the software access system — all separately. When they leave, you have to remove them from each one individually.

It's a mess.

Rippling's premise was radical: build one unified platform with the employee record at the center. When you hire someone in Rippling, it automatically sets up their payroll, enrolls them in benefits, ships them a laptop, provisions their software accounts, issues a corporate card, and adds them to the right Slack channels.

One action triggers everything. When they leave, one click revokes it all.

OpenAI

OpenAI was founded in December 2015 as a nonprofit AI research lab. The founding donors — including Elon Musk, Sam Altman, Peter Thiel, Reid Hoffman, and Jessica Livingston — pledged $1 billion with a mission to build artificial general intelligence (AGI) that would benefit all of humanity.

The idea was that AI was too important and too dangerous to leave in the hands of Google alone.

Sam Altman became chairman while Greg Brockman (former CTO of Stripe) became president. Ilya Sutskever, one of the most respected AI researchers alive, left Google Brain to become chief scientist.

The early team was stacked with world-class researchers who published their work openly — hence "Open" AI.

But AI research turned out to be staggeringly expensive. Training large models required millions of dollars in compute.

In 2019, OpenAI created a "capped-profit" subsidiary — investors could earn up to 100x their money, but profits beyond that would flow to the nonprofit. Microsoft invested $1 billion.

The mission was still to save humanity. The method now involved making a lot of money first.

Rippling

Rippling's growth strategy is "compound startup" — building many products simultaneously instead of one at a time. Most SaaS companies pick a niche and dominate it before expanding.

Rippling launches new product modules aggressively, banking on the thesis that integration is the killer feature.

The land-and-expand motion works because every module sells every other module. An HR team that uses Rippling for payroll sees that IT device management is available.

The IT team that uses device management discovers corporate cards. Each module is a door to the entire platform.

Mid-market focus (50-2,000 employees) hits the sweet spot — these companies are big enough to need multiple systems but small enough that a single platform is appealing. Enterprise companies have entrenched vendors.

Tiny startups don't need the full suite. The mid-market wants consolidation and Rippling delivers it.

OpenAI

ChatGPT's launch in November 2022 was the growth strategy — it just wasn't planned that way. The team expected a modest research preview.

Instead, ChatGPT hit 1 million users in 5 days and 100 million monthly active users in 2 months, making it the fastest-growing consumer application in history. The product went viral because it felt like magic — for the first time, anyone could have a natural conversation with a machine that seemed to understand them.

The Microsoft partnership provided distribution at massive scale. Microsoft integrated OpenAI models into Bing, Office 365 (Copilot), GitHub (Copilot), and Azure.

Overnight, hundreds of millions of Microsoft users had access to OpenAI technology. Microsoft's $13 billion investment was the largest AI bet in history and gave OpenAI nearly unlimited compute.

The API created an ecosystem. Thousands of startups built products on top of OpenAI's models — from customer service bots to coding assistants to content generators.

Each API customer locked themselves into OpenAI's ecosystem, creating switching costs and recurring revenue.

Rippling

Building many products simultaneously means none of them is best-in-class individually. Gusto has better payroll for small businesses.

Jamf has better device management. Brex has better corporate cards.

Rippling's bet is that "good enough across ten categories" beats "best in one." That bet is unproven at scale.

The Parker Conrad factor cuts both ways. His Zenefits implosion is public knowledge, and some investors and customers remain wary.

Conrad has been open about the experience but the baggage is real. On the flip side, the "I failed and came back stronger" narrative resonates with many founders.

International expansion is complex. Rippling's Global product offers employer-of-record services in 100+ countries, but managing local labor laws, tax regulations, and benefits across dozens of jurisdictions is extraordinarily complicated.

Deel and Remote.com are dedicated international employment platforms that may execute better in global markets.

OpenAI

The board crisis of November 2023 nearly destroyed the company. The nonprofit board fired Sam Altman as CEO on a Friday, citing a loss of confidence.

Within 48 hours, 95% of employees threatened to quit and follow Altman to Microsoft. By Tuesday, Altman was reinstated and the board was restructured.

The incident exposed the fundamental tension between OpenAI's nonprofit governance and its for-profit ambitions — a tension it finally addressed in late 2025 by restructuring the business as a public benefit corporation sitting under the original nonprofit.

The cost of training frontier models is eye-watering. Each new GPT generation costs hundreds of millions to train.

OpenAI is reportedly spending over $7 billion annually on compute. The company is burning through cash faster than almost any startup in history, which is why it keeps raising at higher and higher valuations.

If revenue growth slows before costs stabilize, the math gets ugly.

Safety concerns are not going away. Multiple prominent researchers have left OpenAI over disagreements about the pace of development versus safety research.

Ilya Sutskever, the chief scientist who was central to the board's decision to fire Altman, left in 2024 to start a safety-focused AI lab. The public debate about whether OpenAI is moving too fast — and whether its safety commitments are genuine — grows louder with every capability improvement.

Rippling

Rippling Unity — the core employee data platform that connects all modules through a unified employee graph. Every system shares the same data, eliminating manual syncing.

Rippling Payroll — full-service payroll processing for US and international employees with automated tax filing. Rippling IT — device management (ship, configure, secure, and wipe laptops), software provisioning (manage employee access to hundreds of SaaS apps), and identity management.

Rippling Spend — corporate cards and expense management with policy enforcement built into the card itself. Rippling Global — international payroll and employer-of-record services covering 100+ countries.

OpenAI

ChatGPT is the consumer chatbot — the product that made AI mainstream overnight. The flagship GPT models are multimodal, handling text, images, and audio in one system.

The OpenAI API lets developers integrate GPT into any application. DALL-E generates images from text descriptions.

Whisper transcribes and translates audio. Sora generates videos from text prompts.

GPT Store lets users create and share custom GPT agents. ChatGPT Enterprise gives businesses a private, secure version of ChatGPT with admin controls and no data training.

Rippling

Founders Fund led the Series A — Peter Thiel betting on Conrad's comeback. Kleiner Perkins and Bedrock invested in growth rounds.

Greenoaks Capital, Coatue Management, and Y Combinator participated. The 2024 round valued Rippling at $13.5 billion, led by Coatue, and a 2025 round pushed it to $16.8 billion.

Notable for being founded by someone investors initially wouldn't touch after the Zenefits scandal.

OpenAI

Microsoft ($13B), Thrive Capital, Khosla Ventures, Sequoia Capital, Founders Fund, Tiger Global, SoftBank, a16z