OLL.E

The problem

The alert that matters is the easiest one to miss.

Clients hire in minutes. Markets move in seconds. People still take hours — or days — to notice.

146 + 121

Notifications and emails per day

The average person gets 146 push notifications and 121 emails a day. Critical alerts get buried in the noise.

100M+

People monitoring ~2 hrs a day

Journalists, freelancers, traders, IT & ops, and sales teams lose their best hours just watching feeds, notifications and inboxes.

$4B / day

Worth of time wasted

Monitoring, reviewing, and acting on information has quietly become a full-time job for the world.*

The product · live in alpha on Android, iOS & Web

Tell OLL.E once, in plain language. It watches forever - alerts and acts.

An agentic OS that monitors any source and runs real actions the moment something matters.

Say “watch this for me”

Point OLL.E at anything — an app notification or message, an inbox, a job board, a market feed — in one sentence.

OLL.E chat: user asks to watch Telegram for BTC breach updates, chooses alarm, call or shortlist

It watches — without polling

Our patent-pending RRA model monitors any apps, email, jobs and the open web in real time. No zaps. No API. No upkeep.

OLL.E watch card: alarm 2x on device, agent researches market movement and emails a partner

It alerts & acts for you

Alarm, call, shortlist — then agentic follow-through: research the context, draft the reply, send the email, run multi-step actions.

OLL.E agent completed research on a BTC market breach with cited sources, ready to send

Alarm hard, instantly Call your phone Shortlist for later Research the context Send the email Run multi-step agent actions Connect any source via MCP

OLL.E PinG — a BLE alert device on a keychain, paired with the OLL.E app

Introducing · OLL.E — PinG

Your urgent moment deserves more than a notification.

PinG buzzes hard, right on your keys — only when it matters. You look at your phone when it counts, not every time it lights up.

First in the world on iOS
1.4B iOS users have never experienced a critical alarm for urgency before.
Alpha device ready and working
Proprietary, patent-pending hardware and firmware from the OLL.E team, built with OEM partners.
Not a new device to carry
Unlike other “nice-to-have” AI pins, PinG is a must-have daily carry — and fits every fashion style.

PinG is an incremental innovation drawn from long-term research at the OLL.E team. All R&D has been completed, enabling implementation of the first prototype with an OEM partner in China. Ready to ship on LOI.

More moat

Not innovation — the rate of innovation makes OLL.E an OS.

Anyone can call an LLM. Nobody else can monitor the world in real time at unit economics that work. That’s the part we invented.

The RRA Model — monitoring without polling

We invented the Request → Response → Action architecture — an elastic model that any monitoring workload fits into. This model can soon scale to monitor almost anything digital.

99% accuracy scraping any website

Our crawler engine reads any website at 99% accuracy — and doesn’t break when layouts and UIs change, the failure that kills every DIY setup.

PATENT PENDING

Perplexity-based semantic matching

Millions of events per day would bankrupt anyone running full LLM inference on each one. We match semantically by computing log-probabilities from LLM perplexity with our own algorithms — at a fraction of the cost.

Plain language in, real monitoring out — apps, jobs, email, web, markets.
Real-time response — alarm, call, shortlist — even on iOS, via BLE-powered PinG.
First-mover in a complete AI watchman + automation that users already love.

Everyone else

Single zaps, applets & scouts — no distributed monitoring, mostly no real watching at all.
Just another notification, email or SMS — no real response when seconds matter.
DIY, fragile setups that need technical skill, break when UIs change, and skip consumers entirely.

Why now & how big

The market for AI that monitors and acts is forming right now.

The shift from AI-as-assistant to AI-as-agent is happening this year. General platforms aren’t purpose-built for real-time monitoring. If not now — someone else defines the category.

TAM

$140B

Response-speed professionals — the people who lose money when they’re slow.

SAM

$49B+

~133M professionals reachable via the OLL.E platform today.

SOM · target

$100M+ ARR

By June 2028 — ~282K paid users at ~$370 ARPU. Just 0.21% of SAM.

Behavior has shifted

People spend 6–8 hours a day online and waste 20–30% of the workday monitoring — yet still miss what matters. They now expect to be alerted, not to go looking.

The rails exist

LLMs can finally reason over messy real-time data and trigger multi-step actions reliably. Our RRA model and agentic action runner are built and serving users.

The window is open

ChatGPT, Gemini and Claude aren’t purpose-built to monitor and act in real time. Agent frameworks demand setup and upkeep. We’re first to market with both.

Business model

A free funnel that converts to paid — and compounds.

Free

The organic top of funnel. Unlimited monitoring, limited responses & actions.

RECOMMENDED

Premium

$19.99/mo

For everyday power users. 20+ responses & actions per 12h, unlimited connectors.

Exclusive

$99.99/mo

Full agentic power. Unlimited responses & actions, reasoning AI model, priority support.

Path to $100M ARR

21-month trajectory · Sep 2026 → Jun 2028 · 45% MoM launch hype tapering to 30% steady-state · from a $219K ARR base

~30%

steady-state MoM growth

~$370

ARPU / year (blended pricing)

281,626

paying users at $100M+ ARR

The team

A top 1% team of builders — with operator firepower behind them.

Mujahid Khan

Co-Founder · CEO & CTO

The Generalist · AI to hardware. Former senior software engineer (EBD, NY). Builds the systems, NLP & agent pipelines. Coding since 13.

Sohel Rana

Co-Founder · Full-Stack Engineer

Wears every hat — Android & iOS, BLE integration, APIs and real-time SSE. Built 20+ tools /w Mujahid in last 12 years together

Omar Jayed

Backend Engineer & DevOps

Owns backend and infrastructure. Former FedEx senior engineer.

Board & Advisors

Dane Atkinson

Board of Directors

Founder & CEO of Odeko. Ex-CEO of Squarespace. 3× founder — and our mentor.

Salman Hossain

Growth & Marketing Advisor

Founder/CEO iKORI. Co-founder & ex-COO of 10 Minute School (Sequoia-backed). Ex-VP Innovation, Telenor.

Nafiul Adnan

Infra Advisor & First Investor

Site Reliability Engineer at Microsoft. Former Google SRE.

The ask

$150K SAFE to fund the global public launch.

Converting proven early traction into launch momentum — and setting up a $6–7M seed by early 2027.

Current round · SAFE · open now

$150K

Go-to-market for the global public launch: a keynote reveal powered by the PinG hardware novelty, then our proven $0-CAC organic engine.

→

$6–7M SeedNext round · equity · early 2027

Use of funds

Every dollar aimed at launch velocity

GTM & Distribution40%

Payroll & Team30%

Development & Ops30%