SEED ROUND · CONFIDENTIAL

Unbrowse

The machine routing layer for the web

Agents should not browse websites.
They should route through them.

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Why Now

Thewebisbecomingmachine-native.

For 30 years, websites were built for humans. Now agents are becoming the primary new users of the internet.

First

Browser agents proved it

Agents can act online. Anthropic Computer Use, OpenAI Operator.

Then

Web access went default

Every agent stack now ships with web access built in.

Now

A new bottleneck appeared

Browser execution is slow, expensive, and brittle. The web needs a machine-native layer.

The next internet layer is not better browser automation. It is machine routing.

$1T+ in annual machine web traffic is currently unrouted.

The Problem

Browserexecutionisthewrongabstraction.

A browser is a machine pretending to be a human to talk to another machine. That works for demos. It breaks for repeated workflows.

10–45s
per action
Too slow for repeated workflows
$0.10+
per action
Too expensive at agent scale
Brittle
by design
UI changes break flows
Repetitive
by nature
Agents keep relearning the same paths

Agents do not need pixels, buttons, and DOM trees. They need routes.

The Product

Unbrowseturnswebsitesintoreusablemachineroutes.

The first session discovers the route. Every later session reuses it.

Browser execution today
Open page
Parse DOM
Click through UI
Recover from failures
Repeat the same work again
Unbrowse execution
Discover route once
Call route directly
Return structured JSON
Reuse across future sessions
What Unbrowse returns
GET /2/timeline/home
{
"tweets": [{
"author": "sama"
}]
}
<1s · structured JSON

What takes browser agents seconds becomes a routed call in milliseconds. This is a different internet primitive.

In Practice

Whatthislookslike.

An agent needs to look up a LinkedIn profile. Here is the difference.

Browser agent~10s · $0.30
1. Launch headless Chrome
2. Navigate to linkedin.com/in/target
3. Wait for page load (6s)
4. Handle login redirect (12s)
5. Parse 8,200 DOM nodes
6. Find name, title, company in HTML
7. Handle "verify you're human" popup
8. Extract text, hope layout didn't change
Tomorrow: LinkedIn ships a new layout.
Start over.
Unbrowse routed<1s · $0.005
REQUEST
unbrowse.resolve("linkedin.com/in/target")
RESPONSE
{
"name": "Jane Smith",
"title": "VP Engineering",
"company": "Acme Corp",
"location": "San Francisco"
}
Route discovered once. Reused by every agent after.

Same result. Up to 30x faster. 60x cheaper. No browser.

The Wedge

Westartwherebrowserpainishighest.

Repeated multi-step agent workflows. Developers already run agents on the same sites every day. They feel the pain first and most clearly.

Research
Structured retrieval
Logged-in automation
Monitoring
Back-office tasks

Browser workflow: $0.30. Unbrowse routed: $0.005. The first wedge is obvious: replace repeated browser execution with reusable routes.

Moat

Theroutinggraphisthemoat.

Each successful workflow leaves behind more than an execution.

Each workflow leaves behind
A route
A reusable machine path
A signal of what agents tried to do
Evidence of what worked
Machines need what humans got
Routes instead of browsers
Reusable execution paths instead of links
Reliable structured retrieval instead of search
Transaction rails instead of app stores
Site-level compensation

Every routed request trains the next one. Network request telemetry is a proxy for machine intent — what agents try to do, what works, what fails. This data compounds into a recommendation engine that predicts the next best route before the agent asks.

Google indexed the web for humans. Unbrowse routes it for machines.

Business Model

Paidrouting,thenplatformeconomics.

Free today to maximize adoption. Paid once route reuse becomes embedded behavior.

$0.30
browser task (LLM + runtime + retries)
$0.005
Unbrowse routed task
60x cheaper
90–96% cost reduction per task

Browser task: $0.30 → Unbrowse routed: $0.005 → Platform take: $0.001

Example power team
Agents running5
Workflows per agent / day500
Routed requests per workflow8
Total routed requests / day20,000
Browser cost / day$6,000
Unbrowse cost / day$100
Customer saves98%
Platform revenue / month$600

1,000 teams = $7.2M ARR. 10,000 teams = $72M ARR.

Market

Anewmarketisformingunderneaththeagenteconomy.

As machine traffic becomes a larger share of the web, the platform expands into:

Routing

What should the agent call?

Retrieval

How should it get the right data?

Execution

How should it act reliably?

Transactions

How should machine traffic pay?

Compensation

How do websites monetize agent usage?

Wedge

Repeated agent workflows

Highest pain, clearest ROI.

Expansion

Framework integrations

Every integration multiplies volume.

End state

Machine routing & transaction layer

Where agents go to use the internet.

This market grows with every new agent framework, every deployed workflow, and every website machines learn to use.

Competition

Everyoneelsehelpsagentsclick.Unbrowsehelpsagentsroute.

Browser agents

Operator, Computer Use, Browser Use

Useful, but slow and brittle for repeated work.

Scraping platforms

Bright Data, Apify

Read-heavy, not built for reusable machine execution.

MCP / per-site tools

Hand-built integrations

Fragmented and impossible to scale across the open web.

Unbrowse

Machine routing infrastructure

Discovers routes, reuses them, compounds with usage. Open-sourced the client to commoditize competitors' moats. The network and routing graph cannot be replicated.

Others are tools. Unbrowse is infrastructure.

Founder

Builttowardthisbeforethemarketwasready.

This company exists because the same core insight kept surviving every iteration: browsers are the wrong abstraction for machines.

The market was early. The thesis was not. 8 iterations later, the same conclusion held.

Authored the first deployed agentic web implementation. Not a research proposal — a working system in production.

Traction appeared when the market caught up. Not marketing — the product solved a pain developers already felt.

Lewis Tham
Lewis Tham
Founder & CEO
Building Unbrowse since 2024. NUS Computing.
Eugene Khoo
Eugene Khoo
COO
Operations, partnerships, go-to-market.
Alethea Soo
Alethea Soo
Creative
Brand, content, developer community.
Yong Quan Tan
Yong Quan Tan
Founding Engineer & DevRel
QA, systems integration, infrastructure plumbing.
NUSNUS Fintech Lab
NVIDIA Inception

$3M

To build the default routing layer for agent workflows

40%
Infrastructure
Route index, engine, graph expansion
30%
Distribution
Framework partnerships, developer adoption
30%
Team
Key hires. Lean by design
This round proves
Agents reusing routes across sessions, not just discovering them
Route reuse density compounding week over week
Paid routing with design partners
Open-source client driving organic adoption without sales
Bottoms-up path to venture-scale revenue

The browser was built for humans. Unbrowse is built for machines.

Seed Round · Confidential
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