Shadowfog
About
What industry does Shadowfog operate in?
Shadowfog operates in AI Safety, AI Alignment, Privacy-Preserving AI, Federated Learning, Differential Privacy, Data Collaboration.
An open-source static analysis tool for AI agent instructions to catch ambiguity and risks before runtime.
A platform providing accurate and relevant information about the evolving legal landscape in the AI domain.
Shisai checks whether AI-drafted text is backed by the records it cites, and produces evidence a compliance officer can file. Deterministic. No model in the judgement.
Your AI already decides. HONESTAS makes those decisions provable: deliberated by a chaired committee, cross-model gated, certificate-sealed and replayable.
Open-source infrastructure for permissioned agent-to-agent communication: a deny-by-default kernel for file access and tool calls, with pluggable agent runtimes.
Your team and its AI agents, in one room. Chat, tasks, and everything the company knows — behind a permission system that actually holds.
Dstilled follows AI companies, summarizing important announcements and filtering out noise to provide a ranked reading feed.
A benchmark of 56 language models with implanted hidden behaviors for evaluating AI alignment auditing techniques.
An entrant is a company tagged AI Safety whose domain was first registered in the window, counted from registry records in the StartupHub directory. 16 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.
Google PageSpeed mobile performance for the company’s own site. Measured by Google, not by us.
Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.
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