Built by people who've run Trust & Safety at TikTok and Meta, and Procurement operations across Europe. noosphr designs, builds, and ships the AI systems, guardrails, and compliance infrastructure that make responsible AI work in the real world.
10+ years leading Trust and Safety at TikTok and Meta, including a 600+ FTE organisation across EMEA. Petra has shipped agentic AI products, built EU AI Act compliance infrastructure, and designed the governance systems that make responsible AI operate under real conditions. Her focus is on building systems that work, not just frameworks that look good on paper.
10+ years running Procurement and Category Management at TeamViewer, Scout24, and Delivery Hero, now engineering the AI systems that transform those operations. Every tool Eugen builds starts from a real operational problem: manual triage, slow RFP cycles, fragmented spend data. His focus is on agentic pipelines that deliver measurable efficiency gains, not proof-of-concepts.
Petra led T&S operations at TikTok and Meta across EMEA. This isn't advisory built from frameworks. It's operational experience turned into service design.
Can a user manipulate your AI into producing harmful output for another user?
If something goes wrong at 2am on a Friday, who calls who?
What are the guardrails, and who owns them?
Map every way your product can cause harm. Categories, severity tiers, user vs. platform risk. Built around your actual feature set, not a template.
Design the controls that sit between model output and user harm. From input/output filtering to escalation logic. We stress-test what you have and build what you're missing.
Write the policies that govern your AI's behaviour. Clear enough for users, specific enough for enforcement. Linked to your harm taxonomy so nothing is left to interpretation.
Build the T&S function from the ground up: team structure, tooling, escalation paths, reporting cadence. Or audit and fix what you already have.
First 4 hours. Assess scope, contain the blast radius, decide what gets turned off.
Get the right people in the room. Define roles. Establish a decision cadence.
What do you disclose? To whom? By when? We've made these calls before.
Legal, comms, product, engineering, exec. We coordinate across functions so nothing falls through the gap.
What broke, why it broke, and what changes so it doesn't happen again.
No strategy decks without implementation. Every engagement ends with something working: a system, a pipeline, an infrastructure you can operate and demonstrate.
Build and optimise the AI-augmented frameworks, harm taxonomies, and governance structures that make platform safety consistent and scalable. Whether starting from scratch, fixing what's broken, or wiring AI into existing operations.
Turn regulatory obligation into working compliance infrastructure. From Annex III classification and FRIA writing to governance frameworks built to survive an audit; we build the infrastructure that makes compliance demonstrable, not just aspirational.
Design and deploy multi-step AI agent pipelines that handle real operational complexity: autonomous document triage, supplier workflows, content moderation, and decision-support automation. Built for production, not demos. Claude API, LangChain, Pinecone, n8n.
Map, diagnose, and redesign operational workflows for AI augmentation. From compressing RFP cycles to automating QA and supplier triage; we identify where AI delivers maximum leverage and build the integrations that prove it in measurable efficiency gains.
Companies deploying AI in hiring, credit scoring, content moderation, biometric identification, and other high-risk categories face binding compliance obligations this year, with fines up to €30M or 6% of global turnover. Most organisations understand what's required. Very few have built the operational infrastructure to demonstrate it. That's the gap we close.
Talk to noosphrEach project started with a real operational problem. Each one ships.
AI-native procurement operating system
Autonomous reasoning agent for mid-market procurement. A 5-signal decision engine evaluates every transaction across contract, budget, supplier, request, and policy context simultaneously, then either acts, raises a single board ticket, or escalates to Jira. Handles approvals, license management, contract renewals, and LLM shadow spend tracking. Only surfaces decisions that genuinely require human judgment.
8-agent autonomous trading system
Fully deployed 8-agent pipeline for German equity markets. Monitors 590+ procurement suppliers via Hermes, runs compliance screening, macro analysis, and Kelly-sized position sizing before ZEUS (Claude) makes the final reasoning call and Ares executes on Interactive Brokers. Paper trading live on Hetzner VPS, self-scheduling every 15 minutes. Emergency halt triggers at 8% drawdown. 294 tests gate every deployment.
Personal AI operating system · icarusai.de
Four-agent procurement intelligence system built around a personal AI assistant accessible via Telegram and PWA. Handles calendar, email, LinkedIn, GitHub, and task management while coordinating three specialist agents: Hermes (market intelligence), Hades (supplier due diligence), and SpendLens (spend analytics). Parallel tool execution via ThreadPoolExecutor. Morning briefings at 06:00 Berlin time.
Automated customer support triage
End-to-end email triage system for a Croatian gut health brand. Classifies incoming messages by type (FAQ, medical, business, order), priority (P1–P3), and language, then routes to dedicated Slack channels and auto-responds in the customer's language. Medical queries are warm-deflected to human review. Routine FAQs auto-resolved. Daily morning briefing generated automatically.
Available for keynotes, panels, podcast appearances, and mentorship.
Speaking on AI safety, Trust & Safety, responsible tech, and EU regulation. Available for conferences, corporate events, and industry panels.
Speaking on navigating Trust & Safety in AI, building safer digital environments, and human-centered quality frameworks at scale.
Uncaged Show · "Navigating Trust and Safety in AI" ↗Working with emerging leaders in Trust & Safety and AI strategy. Available for 1:1 mentorship, cohort programmes, and advisory roles.
Extraordinary Women in Tech programme ↗Something else in mind? Send us an email.
noosphr specialises in Trust & Safety, EU AI Act compliance, and agentic AI systems. We build the guardrails, governance infrastructure, and automated pipelines that make responsible AI work at scale. Two practitioners with 10+ years each in the operations we now automate: Trust & Safety at TikTok and Meta, and Procurement at TeamViewer, Scout24, and Delivery Hero.
Engagements range from focused advisory (a few days) to multi-month delivery projects. We work hands-on, not just strategy decks. Every engagement starts with a clear scope, defined deliverables, and regular checkpoints to ensure we stay aligned on outcomes.
We design multi-step AI pipelines that can reason, retrieve, and execute across complex operational tasks with minimal human intervention. A typical build combines a reasoning model (Claude API) with retrieval (Pinecone or a vector store), workflow orchestration (n8n or LangChain), and targeted human-in-the-loop checkpoints where the risk profile demands it. We instrument everything, so you can see what the agent is doing, where it's uncertain, and where it's saving time. The goal is always systems that perform reliably in production, not just in controlled demos.
Book a short discovery call directly via Calendly, or send us an email. We'll talk through your current challenges and where AI can deliver the most leverage, then follow up with a scoped proposal. Most engagements start with a focused diagnostic sprint before moving into build.
Yes. We work with organisations globally, though our recent focus has been on EU regulatory frameworks (AI Act, DSA, GDPR-aligned safety) and on enterprise operations teams across Europe. Our team has worked across Europe, APAC, and the US throughout their careers.
Because the best AI safety systems are built by people who've run the operations they're securing. Petra spent 10+ years leading Trust & Safety at scale at TikTok and Meta. Eugen spent 10+ years running procurement and enterprise operations. We're not advisors who learned AI; we're operators who became engineers. That combination means we build systems that actually hold up when they hit production.
Whether you need a Trust & Safety framework built from scratch, EU AI Act compliance infrastructure, or agentic AI systems with proper guardrails; we start with a conversation and end with something shipped.
info@noosphr.de linkedin.com/in/petra-mifka Book a free call