LET A THOUSAND FLOWERS BLOOM

Your AI Enablement program. Running in 30 days.

Polln puts the expertise already in your company to work on your most critical enablement program. Your experts contribute on day one. You're left with a system that keeps spreading what they know.

Trusted across teams from 50 to 20,000 people

  • Netflix
  • LinkedIn
  • Salesforce
  • Shopify
  • Twitter
  • WeWork
  • Atlassian
  • CZI
  • BBVA
  • Airbnb
The problem

Building this yourself takes time you don't have.

Most companies know AI adoption matters. Few have a plan that actually sticks.

  1. 1

    Building from scratch takes 12 months

    Designing curriculum, finding speakers, standing up infrastructure, getting buy-in. By the time you launch, the moment has passed.

  2. 2

    Generic content doesn't stick

    Your engineers don't need another off-the-shelf AI course. They need to see how AI applies to your stack, your systems, your problems.

  3. 3

    Your best people already know things worth sharing

    There are engineers on your team using AI in ways others haven't discovered yet. That knowledge lives in Slack threads and 1:1s. It belongs everywhere.

What Polln is

Not a course library. Not a platform. An enablement program.

Three things, sold as one. The platform is just how it runs.

01
CURATED FOUNDATION

Starter curriculum

Pre-built AI enablement content that gets your team started on day one. Structured, cohort-based, and ready to run. Not the product, just the ignition.

02
THE FLYWHEEL

Every person builds. Every build teaches.

This isn’t a program your team consumes. It’s a program they produce. Every participant ships a real thing in their actual job, then teaches the rest of the team how they did it. The library that compounds isn’t curriculum we wrote. It’s the work your people did.

03
OPERATIONAL BACKBONE

Program infrastructure

Cohorts, learning tracks, progress tracking, and reporting. The structure that turns content into a real program, and proves it's working to the people who asked for it.

What your people build

This is a doing program. Not a learning program.

Every participant builds a real thing in their actual job. Each build becomes content the rest of the team learns from. That’s the flywheel.

Staff Engineer
What they built

An AI code review checklist tuned to their codebase


What changed

PR review time cut nearly in half across the team.

Product Manager
What they built

A prompt framework for writing first-draft specs


What changed

Spec turnaround dropped from days to hours.

Senior Engineer
What they built

A Loom walkthrough on their Cursor setup and prompting patterns


What changed

Most-watched piece of internal content in the program’s first month.


Each build is the next person’s starting point. That’s how the program compounds.

How it works

Three phases. One outcome.

From signed contract to running program in 30 days. From running program to organizational knowledge asset over time.

  1. 01

    Launch

    We set up your program, load the foundation curriculum, and identify your first cohort. Before anything else, we surface your internal AI practitioners. They become your first contributors.

  2. 02

    Ignite

    Your practitioners start sharing. Role-based tracks split the cohort. A 10-minute video from a senior engineer on what actually works with Copilot beats anything we pre-built. The program becomes yours.

  3. 03

    Compound

    The formal program winds down. The platform doesn't. AI knowledge is searchable, shareable, growing. New hires ramp faster. You have a report showing exactly where your AI expertise lives.

See the full program →
What you can run on Polln

Run any enablement program on Polln.

AI enablement is where most customers start. The framework runs anything where the critical knowledge lives inside your company.

Get your team fluent in AI, on your stack and with your judgment.

Where most customers start

Most companies are trying to get their teams fluent in AI. Existing options range from generic to useless.

Polln operationalizes it through your own experts. Your stack, your prompts, your judgment.

Spread your senior engineers' standards across the whole team.

Common after a hiring spike

Best practices, architectural decisions, the why behind your codebase.

Spread to the rest of the org without pulling those engineers off the work only they can do.

Build real security adherence, not just attestation.

For when checkbox training stopped working

Driven by the people on your security team who know what matters.

Practice over theatre. Assessments tied to real situations.

New hires absorb tacit knowledge in weeks, not years.

Compounds with every program you run

The unwritten parts of your company, captured by the people who've lived them.

A program new hires graduate, instead of a doc folder they're handed.

If “who knows this?” is a name, not a vendor, Polln fits.

Tell us what you're trying to move

If “who knows this?” is a name, not a vendor, Polln fits.

Customer empathy. Sales methodology. Product judgment.

Who it's for

Built for the person who has to make it work.

Not for everyone. Specifically for the people trying to scale AI adoption across a technical org, fast.

This is for you if…
  • You're a VP Eng, CTO, or Head of Enablement at a technical company
  • You need to move fast on AI adoption. Six-month timelines aren't an option
  • You want the program to be owned by your people, not by a vendor
  • You have internal AI practitioners who know things others should know
  • You're tired of generic content that nobody actually uses
This probably isn't for you if…
  • You're looking to manage a content library or an LMS
  • You want off-the-shelf compliance training
  • You need the lowest-cost option on the market

You're buying an outcome. Polln enters through the person who owns the AI transformation initiative, not the team that manages the learning catalog.

Proof

Programs that landed, and stayed.

Twitter

Engineering
Twitter University

Every engineer understood how Twitter worked.

We made it effortless for internal experts to teach. The program grew to 200+ engineer instructors and became the highest-rated program in Engineering.

200+
engineer instructors

CZI

Cross-disciplinary
Elevate

Engineers, designers, scientists, and policy experts cross-pollinating.

Elevate took off because it was effortless for experts to stand up workshops. The result: a true culture of learning, across disciplines.

1 culture
of learning, across disciplines

SSENSE

Architecture
SSENSE University

Every engineer aligned on a new mental model, at the same time.

Moving from monolith to microservices. They built SSENSE University with their senior engineers as the source. Years on, it's still the cornerstone of their knowledge sharing.

Years on
still the cornerstone

WeWork

Onboarding
WeWork Tech University

From 800 to 1,600 engineers in a year, on the same page.

Onboarding had been scattered across hiring managers. WeWork Tech University brought their geographically dispersed engineering org onto the same page for the first time.

the team, on the same page
What Polln isn't

Not a course library. Not another wiki.

THIS ISN'T TRAINING

Training assumes the knowledge already exists somewhere else.

Most of what matters in your company doesn't exist outside it. It lives in the heads of the people who built it. Polln is built around that reality.

The experts inside your walls are the source. The result is capability that belongs to you, in your context, with your judgment baked in.

THIS ISN'T A WIKI

A wiki is a place to store knowledge. Polln spreads it.

The perfect doc on system architecture sits in a knowledge base and nobody reads it. The knowledge exists. The capability doesn't.

Polln transforms what your experts contribute into something your team actually engages with. Storage is solved. Activation is the unsolved problem.

A 30-minute call

Let a thousand flowers bloom.

Spread the expertise that matters most across your company. We'll show you how.

Your AI Enablement program, running in 30 days. Not a demo, not a trial.