contaixt

up-to-date graphs for
accurate answers

Un U en fil de fer, un œil au bout de chaque branche, dont la tige remonte au-dessus des yeux et redescend le long de l'œil gauche, comme un trombone.
> irm https://contaixt.ai/setup | iex

Configures Claude Code, Cursor and VS Code if they are installed. Client by client

Our graphs

NameScopeReferencesNotions Sourced linksTopicsLast update
AI compliance: the AI Act, GDPR applied to AI, Swiss law, standards and audits, copyright2 36832 42986 1471615 Oct 2026
AI ethics: fairness, governance, safety, regulation, privacy69741 63297 146188 Oct 2026
Systems security and privacy: adversarial attacks and defences, extraction and poisoning, reverse engineering, anonymity and counter-surveillance1 17441 08490 264148 Oct 2026
AI engineering: agents, memory, knowledge graphs, models, evaluation6 71860 889183 912248 Oct 2026
Image, rendering and 3D visualisation: image generation and analysis, render engines, techniques, architecture and design1 29730 61973 997208 Oct 2026
Audio and AI: music and voice, audio representations, generation, speech recognition, similarity, analysis3829 18623 50597 Oct 2026
A critical look at trading bots and crypto investment strategies67416 93936 499186 Oct 2026

Click a graph for its main sources and an example question.

What we believe

We see the graph as a medium of a new kind, in step with today's practices and tools: immaterial and fluid, it adapts to its context and gives access to specialised, sourced, current knowledge — a kind of “liquid knowledge” that plugs into the LLM you already use.

Open to everyone

The graphs are queried from the assistant you already use. You need not be an expert to ask the question, nor to check where the answer comes from: every sentence points to its source.

Quality as a process

No source enters without being measured, no change ships without being benchmarked against real questions, and a change that lowers the score is corrected before it stays. The processes evolve and criticise themselves; the graphs are maintained regularly, so that what they say is what the field says today.

An altruistic project

Its purpose is to spread knowledge and raise the general level of understanding. What experts know need not stay among experts.

A few examples

Two questions from our benchmarks, put to the same model without and then with the graph. The answers are reproduced verbatim, in French, as they were given.

ai-compliance benchmark of 7 Oct 2026
Quel montant atteint l'amende prononcée en août 2026 contre Uber pour ses décisions individuelles automatisées concernant les chauffeurs, et par quelle autorité ?

The model alone

No answer.

With contaixt

824 990 000 € (environ 825 M€), amende infligée par l'autorité néerlandaise de protection des données (Autoriteit Persoonsgegevens) le 21 août 2026, en lien avec la CNIL.

Source: EDPB, « Dutch DPA fines Uber EUR 824 990 000 » ; sota.io (2026-08-25)

ai-quant benchmark of 8 Oct 2026
Dans un balayage d'environ 100 millions de backtests sur BTC/USDT, combien de stratégies franchissent toutes les étapes de filtrage (nombre de trades, Deflated Sharpe au-dessus du seuil de chance, walk-forward) alors que 336 818 passaient le seul test PSR > 0,95 ?

The model alone

No answer.

With contaixt

3 130 stratégies (0,003 %) sur 99 878 688 backtests passent le filtrage complet : au moins 30 trades, au-dessus du seuil de chance et positives hors échantillon.

Source: we ran 100 million bitcoin backtests only 3 130 beat the luck bar (11.07.2026)

A map, then precise questions

A graph can weigh tens of megabytes and cannot be handed to an agent as is. contaixt gives the agent a condensed version of the graph: a map, and leads to follow.

1

Read the map

The vocabulary, the central notions, the communities and the texts that carry authority, in a few pages.

2

Query

Look up a notion, see its neighbourhood, connect two ideas. Deterministic calls, with no model in between.

3

Cite

Every link carries its provenance. The agent names its source instead of guessing, and says when it does not know.

Install

In one line

> irm https://contaixt.ai/setup | iex

In PowerShell on Windows, in a terminal on macOS and Linux. The script configures Claude Code, Cursor and VS Code if present, nothing else. Read the script

Client by client

claude mcp add --scope user --transport http contaixt https://contaixt.ai/mcp

Then, in a session: “ask the ai-quant graph about grid bots”.

13 tools, all read-only

All take the graph's name. Start with graphes, then carte.