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RegTech, AML & Compliance
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Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Same group

Confora LabsStrong
conforalabs.com
| Evidence | Value | Source | Last seen |
|---|---|---|---|
| Same legal entity runs both sites | Pro plan | legal page | Sep 16, 2026 |
| Same legal entity named on both sites | Pro plan | legal page | Sep 16, 2026 |
Confidence 0.95
Click a company to open it. Dashed lines are likely connections. The second step of the network is part of the Pro plan.
Owner
Same company
Same group
Likely
News
Backed by the EU: The Next Chapter for the spotixx Information Sharing Platform
Financial crime doesn't respect the walls between banks. A fraud ring can move a stolen identity, a mule account, or a laundering scheme from one institution to the next in hours, while the information that could stop it stays locked inside whichever bank
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If criminals work together, why don't we?
Seems obvious right? But why is it that the underground financial network is operating like a dark timeline silicon valley with tech startups and "angel" investors, and all AML investigators can do to work together is pick up the phone and wait on a hotli
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Can Large Language Models unlock hidden insights in Transaction Data?
One of the major challenges while working with financial transactions and the related transaction data is understanding the relationships between various attributes present in the dataset. For example, how does the age of an account holder correlate with
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beyond accuracy -responsible and ethically sound AI with transfAIr
AI is omnipresent in financial services. That is at least the conclusion of the NVIDIA State of AI in Financial Services 2024 Report, in which NVIDIA outlined the key AI trends for financial institutions today and moving forward. Based on over 500 intervi
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What the bias?
Understanding Software BiasSoftware bias occurs when algorithms produce unfair outcomes due to prejudiced data or flawed design. This bias can stem from historical inequalities embedded in the training data. For instance, if a hiring algorithm is trained
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Report
Tech stack
Technologies named in job postings at spotixx over the last 12 months, by layer, with the share of postings for each.
Technologies in use
36
Postings analysed
8
Stack modernity
73/100
Languages
Python
SQL
TypeScript
JavaScript
Frameworks & libraries
FastAPI
SHAP
Pytest
React.js
Databases
Google BigQuery
Cloud & platforms
GCP
AWS
Azure
Google Cloud Run
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Full spotixx tech stack
36 technologies · by team · pay by technology · changes · similar stacks
People

Stefan Klaeser
Vertreten durch

Patrick Töniges
Vertreten durch
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
25/100
Slowing
Open positions
2
0 opened / 0 closed in 30 days
Median time-to-fill
87 days
faster than 14% of the market
ATS activity
Every ~8 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
67% ▼
Product
33% ▼
Activity Timeline
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Frankfurt am Main
Frankfurt am Main
Germany
HQ
Angaben gemäß § 5 DDG
2 open roles 3 posted in 90 days 100% engineering 50-200 est. staff
hires for Backend
Platz der Einheit 2, 60327 Frankfurt am Main
Jobs
≈ $90k – $180k per year (Estimated) · Hybrid · Full-Time · 8+ years exp · Frankfurt am Main
Python
TypeScript
FastAPI
AI/ML
LLM Guardrails
Agentic Workflows
DevOps
GCP
Azure
CI/CD
AWS
Apply
≈ $89k – $179k per year (Estimated) · Hybrid · Full-Time · 6+ years exp · Frankfurt am Main
Python
JavaScript
TypeScript
SQL
FastAPI
Ruff
Mypy
AI/ML
Cursor
Claude Code
AI Agents
OpenAI Codex
LLM Guardrails
Agentic Workflows
Frontend
Vue.js
React.js
Vite
ESLint
DevOps
Terraform
GCP
GitHub Actions
Azure
CI/CD
AWS
Docker
Kubernetes
Google GKE
Google Cloud Run
Cybersecurity
Keycloak
ISO 27001
SOC 2
GDPR
QA
Pytest
Vitest
Apply
Financials
Total raised
$395k
Latest round
Grant
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Grant | 2021 | $395k | Details |
