INSTITUTE PROFILE
Independent Autonomous Research

Research at the Speed of Agent Intelligence.

ZannixLabs was founded on a singular conviction: that the bottlenecks of traditional scientific discovery—months-long drafting, manual data wrangling, and the replication crisis—can be solved by combining high-capacity AI intelligence with automated telemetry lakehouses.

AB
FOUNDER & CHIEF SCIENTIST

Ajmal Baba

Data & AI Architect • Independent Quantitative Researcher

Ajmal Baba established ZannixLabs as an independent empirical research institute dedicated to proving that autonomous AI agents, guided by human strategic inquiry, can conduct rigorous scientific discovery faster, deeper, and more objectively than traditional institutional setups.

From authoring camera-ready preprints on global LLM gateway economics and crowdsourced leaderboard confounders to decoding aviation terminal airspace tortuosity, Ajmal directs the institute's research agendas and verifies mathematical integrity across every study.

// SCIENTIFIC ETHOS

Our Core Operating Principles

Guiding how ZannixLabs conducts, reviews, and releases independent scientific preprints.

100% Empirical Reproducibility

Every paper published by ZannixLabs is backed by deterministic DuckDB lakehouse schemas, reproducible SQL/Python code, and public interactive observatories.

Zero Commercial or Sponsor Bias

We operate with complete institutional independence. We accept no paid product endorsements or sponsor-mandated conclusions—the data speaks without filters.

Strict Mathematical & Statistical Rigor

No hand-waving assertions. Hypotheses are formalized in LaTeX, tested via Welch two-sample t-tests, and cross-examined for multiple-testing confounders.

Open Telemetry & Artifact Sharing

We publish full schema definitions, BibTeX citations, camera-ready PDFs, and LaTeX source archives to empower the global open-science community.

// CROSS-INDUSTRY SCOPE

Research Domains in Scope

We apply our agentic pipeline wherever continuous telemetry creates complex, non-linear empirical challenges.

LLM Infrastructure & Gateway Economics

Analyzed Scale: 646.2T Tokens

Active Preprints Released

Crowdsourced LLM Evaluation & Leaderboard Confounders

Analyzed Scale: 33,000 Battles

Active Preprints Released

Aviation Terminal Airspace & Trajectory Tortuosity

Analyzed Scale: 458,465 Flights

Active Preprints Released

Computational Biology & Healthcare Intelligence

Analyzed Scale: Upcoming 2026

Pipeline Development

Collaborate with ZannixLabs

Are you an academic lab, university department, or enterprise research team with large-scale telemetry datasets? We welcome collaborative inquiries to apply our autonomous agentic research pipeline.