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Please

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AI agent for autonomous web-based task automation

Palo Alto, United StatesFounded 2023AI
Headcount <100 Current team size
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Please and the history behind them.

About Please

Please.ai, formerly known as MultiOn, is developing an AI-powered personal agent designed to automate a wide range of digital tasks for consumers. The company was created in 2022 by Omar Shaya and Div Garg, who met at Stanford University. Shaya was pursuing a Master's in Management and had a background in product management at Meta and Microsoft, focusing on AI applications, while Garg was a Ph.D. student in AI and reinforcement learning.

The concept originated from the founders' shared vision to create an AI equivalent of TaskRabbit for the digital world, an agent that could handle mundane online activities on behalf of the user. The company's core product is an AI agent that can interact with web interfaces to perform complex, multi-step tasks based on natural language commands. This includes activities like booking travel, ordering products, filling out forms, and managing online accounts. The technology is designed to be embeddable across various devices and interfaces, such as smartphones and web browsers.

Please.ai operates by customizing open-source large and small language models to control applications and execute workflows, rather than building foundational models from scratch. The business model includes providing an API for developers to integrate these autonomous agent capabilities into their own applications, operating on a consumption-based model. The company gained early traction with high-profile investors, including Amazon's Alexa Fund, General Catalyst, and Forerunner Ventures. A funding round in mid-2024 reportedly valued the company at $100 million.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2023
Headquarters
Palo Alto, United States
Employees
17
Open positions
None listed
Dealroom signal
88.9/100
Industry
Enterprise Software
Sector
AI, Core AI, Productivity Tools, Generative AI, genAI Applications, AI Applications, AI Agents
Technology
Artificial Intelligence, Machine Learning, Natural Language Processing
Business model
SaaS
Client focus
b2b

Funding history

3 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES A✓Equity / VC May 2024 $0 — Undisclosed —
SEED✓Equity / VC Jan 2024 $0 — Undisclosed —
Showing the latest 2 of 3 recorded eventsBook a demo for the full funding history →

Growth signals

Please website traffic

Latest recorded traffic for Please is 2.2K monthly website visits, up 511.1% over the last three months. Please's team grew 240% over the past year.

Latest monthly visits2.2K 3-month web change+511.1% 1-year team growth+240%
Summary metrics are public; monthly history is available with a demoCompare with peers →

Similar companies

Closest operating peers by Dealroom taxonomy

Company identity and context are open; selected comparison metrics preview what is available on the platform.

Showing 8 of the closest matchesCompare every metric →

Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

5 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Other known investors5 additional known investors

Team profiled 15 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇺🇸 United States · Palo Alto HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Please on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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