Project simulating human populations with 8.3 billion persona agents and 1,290 attributes to test apps, surveys and chatbots. Creator notes it is unclear how closely simulated data matches real people.
MatrAIx
Simulated-user platform with 8.3 billion persona agents for evaluating personal agents, plus RL environments and SFT data.
Updated EU status checked Last shown
MatrAIx at a glance
- What is MatrAIx?
- MatrAIx is a research. Simulated-user platform with 8.3 billion persona agents for evaluating personal agents, plus RL environments and SFT data.
- Does MatrAIx work in the EU?
- Unverified. No explicit evidence found. Last verified 14 Nov 2026.
- How much does MatrAIx cost?
- Enterprise. No public pricing listed; offered as evaluations, RL environments and training data for teams building personal agents.
- Where was MatrAIx shown?
- In 1 creator video by AI Search. Most recently by AI Search on 16 Aug 2026, at 42:05 in “New Deepseek, GLM 5.3, Grok 4.6, LTX 2.5, Qwen 3.8, Gemini 3.7: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
MatrAIx is a research project and service that builds a corpus of 8.3 billion simulated persona agents, each with its own preferences, routines and digital context. It began as a way to test product changes (A/B tests) with persona agents before real users see them, and has since been extended to evaluating personal agents.
The offering consists of persona-based simulated users, evaluation infrastructure for running an agent across tasks, domains and environments, results and analysis broken down by user, domain and failure mode, persona-conditioned SFT trajectories, and RL environments with simulated users. Related benchmarks listed on the site include PersonaBench (AgentPersonaBench across CUA, chat, code, science and robotics) and PersonalAgentEval, which covers seven commercial personal agents, 152 tasks in seven domains and simulated users with calendars, inboxes, orders and health records. In the published PersonalAgentEval results, the top-scoring agent (Instinct) resolved 60.5% of tasks.
Access appears to be through the vendor, aimed at teams building personal agents; no public pricing, code or model downloads are listed on the pages provided. A YouTube reviewer noted it is unclear how closely the simulated data matches real people's behavior.
- Corpus of 8.3 billion simulated persona agents (reported 1,290 attributes)
- Persona-based evaluation of personal agents by user, domain and failure mode
- PersonalAgentEval benchmark: 7 commercial agents, 152 tasks, 7 domains
- PersonaBench benchmarks across CUA, chat, code, science and robotics
- Persona-conditioned SFT data and RL environments with simulated users
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