ai_ethics: true  |  region: EU  |  est: 2026

Decentralised,
ethical,
accessible AI.

Tribela Labs builds privacy-preserving AI systems with open weights, transparent policy, and permissive licensing.

04
Research
clusters
02
Products
coming soon
Q3 2026
Wyvern
launch

“AI is built on the collective knowledge of humanity,
so its profits are shared.”

— Ezra Klein & Derek Thompson, Abundance

AI was supposed to change everything. For everyone. Instead it became property: patented, paywalled, optimised for shareholders and not for people. A handful of companies now make decisions for eight billion humans. That is not progress. That is capture.

Tribela Labs exists because that is wrong. We build in the open. We research in public. We give the tools back because it is the only way this will work.

From research to product

Tribela Labs builds private AI systems designed for on-device deployment, avoiding centralised infrastructure by keeping computation and data local.

> the research and the engineering are the same team.

// fig.01 :: tribela labs — research meets products Tribela Labs banner
model.llmon-device
LLM
// large_language_models

Open-weight language models for on-device inference. 2B parameters, 2-3GB RAM. Runs on phones.

open weights RLHF · DPO → wyvern
model.classifiercloud
CLF
// classifiers.moderation

Harm-detection classifiers with transparent scores and open evaluation sets. Coming late Q2.

multilingual open evals → guardrail
model.zk_verifiableprivacy
ZK
// zk.verifiable_ml

Cryptographic proofs over model behaviour. Prove what ran without exposing weights or person.

zk-SNARK trust chain
model.classifiercloud
CLF
// classifiers.moderation

Harm-detection and content-classification models with transparent scores and open evaluation sets. The backbone of Guardrail. Coming late Q2.

multilingual open evals → guardrail
model.zk_verifiableprivacy
ZK
// zk.verifiable_ml

Cryptographic proofs over model behaviour and identity assertions, maximising personal privacy in the online world. Prove the thing without exposing the person, or the weights.

zk-SNARK trust chain

Four research clusters — sixteen active threads

All research →
cluster_a.privacylong-term
CLUSTER_A

Privacy-Preserving AI Systems

Federated learning, on-device inference, and cryptographic trust chains for privacy-preserving AI systems.

cluster_b.safetypolicy-critical
CLUSTER_B

AI Safety & Governance

Model transparency, bias detection, EU AI Act alignment, and open red-teaming methodology. Safety evaluation methods designed for practical engineering application.

cluster_c.accesshigh-impact
CLUSTER_C

Accessible AI Integration

AI for under-resourced industries, multilingual NLP, human-AI workflow integration, and open training infrastructure.

cluster_d.opencommunity-led
CLUSTER_D

Open Model Development

Open weights & reproducibility, fine-tuning methodology, decentralised model governance, and benchmark integrity.

What is shipping.

Q1 2026
Research launch
4 clusters, 16 threads. Public repo, open issues.
Q2 2026
Guardrail v1
5 endpoints, EU compliance. B2B. Coming late Q2.
Q3 2026
Wyvern beta
On-device, 2B models, trust chain. JS, Python, Rust.
Q4 2026
Cluster D vote
Community governance launch. Contributors earn votes.

What the research ships as.

Two products. Each one is the productised form of an open research line. Built by us, auditable by anyone.

GUARDRAIL
Moderation API
coming soon

5 endpoints: text, image, audio, video, age assurance. Powered by RoBERTa, ConvNeXt, Whisper. Policy designed by Tribela Labs and published in full. Gateway with API keys, subscriptions, and usage tracking.

guardrail.api
POST /text_moderation
Authorization: Bearer ${TOKEN}

{
  "text": "...content..."
}

// 200 OK · [{label:"unsafe",score:0.92}]
WYVERN
Wyvern Engine
Q3 2026

The wyvern is coming. On-device AI with a cryptographic trust chain: LLMs, vision, audio, agents. All local. All verifiable. Your data never leaves your device.

wyvern.status
status  Q3 2026
scope   LLM · vision · audio · agents
integrations  JS · Python · Kotlin · Swift · Rust
licence  Apache-2.0

// private · on-device · verifiable

Open source governance

Tribela Labs is the research arm of Tribela GmbH, incorporated in the EU. The EU AI Act, GDPR, and European regulatory framework guide how we build: transparent systems, documented datasets, enforceable user rights.

AI infrastructure that is publicly governed, so when you deploy the model or API the system can be inspected, modified, or replaced without vendor lock-in.

01
Open by default Code, weights, research, governance: public unless a specific safety case requires otherwise.
02
Repairable No model lock-in. Swap components, audit behaviour, replace us in your stack.
03
Community-governed Foundation-style steering for core projects. Contributors vote.
04
Auditable Model cards, dataset cards, eval transparency, and reproducible training configs shipped with every release.
Federated governance diagram

Papers, datasets, and benchmarks

All papers
publications.feed[ 1 paper ]
2025-07-01 · B.01 · CONTENT MODERATION
Efficient Content Moderation via Contextual Curriculum Learning
Fine-tuned transformer models consistently outperform a prompt-engineered Mistral-7B (not fine-tuned) on content moderation, using up to 244x less energy while processing content 167x faster. Curriculum learning improves contextual pattern recognition by 15 percentage points on average.
Content Moderation Curriculum Learning NLP
Read paper →
Portrait // portrait · EU · 2026 Founder portrait

“I'm an engineer with a masters in AI and physics, and I built Tribela Labs because the current direction of this field is wrong. A handful of companies cannot be allowed to own the decisions that will shape eight billion lives. So we build in the open. We give the tools back.”

Connor Bryan Founder · Tribela Labs
MSc AI & Physics · Based in the EU

Join the lab.
From anywhere.

Tribela Labs is built on contributed research, open review, and public disagreement. You don't need to be hired to contribute. Research threads are open for public contribution and review.

We are actively looking for collaborators in multilingual NLP, on-device inference, ZK cryptography, and AI policy.

Join mailing list labs@tribela.com
01 · CONTRIBUTE
Open issues & RFCs
Every research cluster has an open issue tracker. Pick a thread and start.
02 · REVIEW
Open peer review
All preprints are open for community review before formal submission.
03 · GOVERN
Foundation voting
Sustained contributors earn a vote on core project direction. No single owner.

The light
belongs to
everyone.

Tribela Labs is new. The research is open. The products are coming soon. Read, fork, contribute, or follow along.