Ending Online Child Abuse Through

Polycreek develops advanced AI tools that enable earlier detection, faster reporting, and more effective intervention to protect children online.

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Our Mission

Polycreek works to protect children from online exploitation and abuse, including grooming and the spread of harmful content. We develop advanced tools that enable earlier detection, faster reporting, and more effective intervention, while equipping parents, organizations, and digital platforms to create safer online environments. Our mission is to reduce harm and strengthen protection for children in an increasingly connected world.

The Reality in Numbers

Our Need to Act Now

Behind every one of these numbers is a child. Polycreek exists to protect that child.

Child playing with a doll Child playing with a toy car

Because every child deserves to just be a kid.

Kids used to spend their afternoons outside with bikes and toys. Now they're in Discord servers, Roblox lobbies, and Snapchat group chats.

It's also where the predators are hiding. That's what we're working to end.

Our Technology

Meet Aletheia

Most filters just tell you a conversation looks bad based on keywords or phrases. Aletheia, trained on a 2.53-million-conversation corpus, tells you which user is the predator, the risk score of the conversation, and the confidence value all in about 38 milliseconds or less.

99.91%
Held-out ROC AUC
98.1%
Recall @0.5
1.1%
False-positive rate @0.5
<38ms
Median response
87.5%
Recall @0.8 (high-confidence)
98.3%
Predator identification
2.53M+
Cases trained on
95.7%
Precision @20% base rate

Measured on a held-out benchmark at 20% positive prevalence. Recall, false-positive rate, and AUC don't depend on base rate; real-world precision varies with how rare grooming is in your traffic, which is why Aletheia is built to rank a human review queue rather than auto-action. Full methodology →

Each conversation is providing behavioral pattern context

Aletheia scores your DMs, comments, community chats or any place where children and adults might interact. Each message context comes back with a risk score, so your trust and safety team works the highest priority first, instead of having to manually review and tag.

Drop in and go

One quick API call. You send a conversation, you get a risk score, a rating, and which speaker set it off. Batch up to 100 threads per request. Teams are usually running on live traffic in under a week.

The worst cases surface first

Every conversation comes back scored 0 to 1 and rated Safe through Critical. The Critical ones go to the front of your queue. Everything else is ranked underneath, so your moderators start at the top and work down instead of guessing what to open first.

Audit-first, compliant by design

We don't store conversations. If one gets flagged, we keep a hash of it and the score, and that's it! No message text ever touches our storage. The hash is how you match our verdict back to the thread in your own system. And because every score is timestamped, you have something to show a regulator asking about COPPA, GDPR, DSA, or KOSA.

Protect your platform with Aletheia
Incoming conversation 2 participants
A
user_a

hey saw your post earlier, you seem cool

B
user_b

haha thanks ur post was funny

A
user_a

ur really mature for ur age tho lol

Flattery + age reference
A
user_a

we should hop in a vc 1on1 sometime, just us

Isolation tactic
B
user_b

idk maybe

A
user_a

don't tell ur parents tho they wouldnt get it

Secrecy / parent isolation
Aletheia verdict 38ms
High Risk
Predator identified
user_a
Risk score 0.94
Confidence 0.93

Illustrative results

Training & Validation

Built on real, multi-source data

Aletheia is trained on a 2.53-million-conversation corpus that combines public and private research datasets, real U.S. federal court records, and synthetic grooming scenarios. Pulling from many sources keeps it from leaning on any single platform's language. We validate real-world detection on a held-out set of real court-record conversations.

Public & Private Research Datasets
Synthetic Grooming Pattern Behavior
Real U.S. Federal Court Records
Deployment

Two ways to run Aletheia

Call our hosted API, or run the entire model inside your own infrastructure.

Hosted API access

Point your traffic at our endpoint and you're scoring the same day. We handle the servers, the scaling, and the model updates.

  • Fastest to integrate
  • ~38ms median response
  • Always running the latest model version
Get Started

Recommended for standard platform use

Single-tenant container

The full model runs in your environment. Nothing leaves your network.

  • Deploys in your own cloud, on-prem, or air-gapped
  • Full data residency and network isolation
  • You hold the keys and the logs
Let's Talk

Recommended for large-scale commercial use

Zeran Johannsen
I founded Polycreek because I believe we can use AI for good, to protect the most vulnerable among us. Every child deserves to grow up safe online, and we won't stop building until that's a reality.

Zeran Johannsen

Founder & President, Polycreek

Meet Our Board
Why This Matters
“In 2024, over 20.5 million reports of child sexual exploitation were filed online.”

The scale of online child exploitation is growing faster than human review can keep up. That's why we build technology to help close the gap between harm and action through faster detection, faster reporting, and faster intervention.

Notes from Polycreek

A monthly note on what we're building, the stories behind the work, and where we could use help.

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