# Instinct raises $1 billion for its personal AI agent

> Today’s funding announcement puts task-completing assistants in focus. For users, the test remains how well each task gets done.


Published: 2026-09-28. Original source: [Instinct · Business Wire](https://www.businesswire.com/news/home/20260928153437/en/).

## Today's announcement

Instinct announced **$1 billion** in funding on September 28 at a **$10 billion** valuation. Sequoia, Benchmark and Coatue participated. The company says its personal agent, still in early access, can handle requests such as calls and bookings using a phone and computer.

Those capabilities are company claims. The funding is not independent evidence of reliability.

## A booking is a useful test of an agent

A reservation looks straightforward until constraints appear: a different time, cancellation terms or someone who must confirm a decision. A useful assistant needs to know when it can proceed and when it needs another instruction.

Consider a hypothetical request: book a table for four, without paying a deposit, within a particular time window. The restaurant's confirmation makes the outcome checkable. A convincing answer alone does not establish that the task is complete.

## What teams automating work can learn

The comparison with marketing operations is practical. Before automating, define:

1. What counts as a completed task.
2. Which conditions cannot change without consultation.
3. What evidence the requester will receive.

These are criteria for evaluating agents, not verified Instinct features.

The funding figure describes the size of the bet. For a prospective user, access, price and performance on real tasks are the next questions. Our [evaluation of AI tools](/en/guides/evaluate-ai-tools-social-media-managers/) recommends comparing revisions and manual steps alongside the final result.

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- [HeyMark MCP documentation](https://heymark.ai/en/mcp/)
- [llms.txt](https://heymark.ai/llms.txt)
- [Full site content for language models](https://heymark.ai/llms-full.txt)
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- OAuth protected-resource metadata: [/.well-known/oauth-protected-resource](https://mcp.heymark.ai/.well-known/oauth-protected-resource)
- MCP server card: [/server-card](https://mcp.heymark.ai/server-card)
