Spotlight
Lead-to-dossier investigation platform: browse, extract, archive, contradict, publish or hand off.
Investigative journalism as a service.
Powered by Spotlight.
Buried Signals is my launch: public investigations create trust and distribution; Spotlight and the surrounding tools power the work; training and services help other journalists use the same methods.
Investigative work has more data, fewer reporters, and less local capacity.
AI agents that monitor, verify, archive, and assemble source-backed dossiers.
Journalists first; audiences benefit through more transparent investigations.
The project moved from a single tool idea to a working tool stack: Scoutpost for monitoring, OSINT Navigator for methods, Spotlight for investigations, and public source companions for accountability.
The accountability gap is structural: investigative work is rare, local accountability reporting is thin, and deep reporting remains too expensive to scale.
Four shipped tools now form the operating layer for Buried Signals investigations.
Lead-to-dossier investigation platform: browse, extract, archive, contradict, publish or hand off.
AI journalism assistant for prompts, workflows, source checking and newsroom use cases.
Open-source intelligence workflows for researchers, journalists and verification teams.
Internal monitoring and research support that turns signals into leads for reporting.
The venture is not a concept deck. It is a working stack connected to published investigations.
Tested collaborative investigation model with The New Humanitarian: article, documentary, shorts, data and sources companion.
Spotlight-supported workflows moving from raw leads toward sourced dossiers and partner handoffs.
Platform investigation work on fake AI doctors and large-scale Facebook ad operations.
The investigation infrastructure underneath the media company.
Spotlight plans the route, browses sources, extracts evidence, archives the record, searches for contradictions, and turns the work into a dossier a journalist can publish from or hand off.
AI handles scale. Journalists keep judgment, sourcing standards, narrative and accountability.
Spotlight can face the public as a verification layer and face journalists as a lead-generation engine.
This is the bridge from software to the channel platform: demand enters Spotlight, journalism comes out through Buried Signals and partners.
Most requests stop at Gate 1. AI handles volume; journalists only receive leads that have crossed a quality threshold.
What changes in the next build is not another chatbot. Spotlight becomes a web investigation environment: it follows leads, captures the trail, and challenges its own findings before a journalist spends reporting time.
A lead can move from a person to a company, from a company to a registry, from a registry to a court file, and from a court file to a contradiction.
Browse, fill forms, enter portals, and capture timestamped screenshots while the journalist can inspect or redirect the route.
Before publication, agents look for contradictions, missing context, weak sourcing and source-quality problems.
Continuous monitoring, cumulative memory, OSINT Navigator and open methods are already in production.
Buried Signals does not investigate everything alone. Spotlight structures the lead; OCCRP and GIJN help it reach the right local investigative media.
The platform supplies pre-verified signal. Partners supply local reporting power and subject expertise.
A channel platform for investigations around the world.
A tested collaboration model for creators and investigative media.
Spotlight compresses the investigation work. Buried Signals turns the trace into publishable journalism.
Sponsor support for technical/media infrastructure, with editorial independence guaranteed.
Joint investigations, visual production, Spotlight-assisted research, and cross-border syndication.
Every investigation ships with a public evidence layer — one QR scan away
Framework adapted from Trusting News
How the audience, tools, services and partnerships sustain the work.
700 journalist subscribers and counting
Methods, tools, workshops, and collaborative leads for AI-era investigations
AI investigation training and custom builds for newsrooms.
A half-day for editorial leaders on how AI is reshaping news — from zero-click search to voice and content marketplaces.
From CHF 3,00020 Minuten · Le Temps
A hands-on day with your newsroom. Journalists leave knowing how to investigate or research with AI.
From CHF 3,500MAZ Journalistenschule · Republik
A bespoke AI pipeline for a specific newsroom problem — an archive made searchable, a monitor built for your beat, a fact-checker wired to your CMS.
From CHF 10,000we.publish · MediaStorm
I install my AI extensions and orchestration systems at your newsroom, train the team, and accompany your first AI-assisted project end to end.
From CHF 8,000Le Temps · Le Nouvelliste
| 2026 | 2027 | |
|---|---|---|
| Sponsorship | CHF 1,000 | CHF 4,000 |
| Subscriptions | CHF 0.9K | CHF 3,000 |
| Consulting & Workshops | CHF 1,500 | CHF 2,500 |
| Partnerships / Grants | CHF 2,000 | CHF 4,200 |
| Total MRR | ~CHF 5,400 | ~CHF 13,700 |
Founder-market fit, current advisors, runway and use of funds.
Visual journalist and technologist working on editorial innovation. I build AI-native tools that help journalists investigate data, archives, platforms, and public claims. I also report and publish data-driven stories using maps, charts, video and open methods. My work combines OSINT, video, cartography, graphics and AI to format complex stories for large audiences.
The raise is a runway bridge to prove a self-sustaining media-software-services flywheel.