Model Evaluation
Compare models on identical prompts and tasks.
We build tools for comparing, evaluating, and improving AI systems using real-world tasks, structured evaluation, and human judgment.
Benchmarks are broken. Human judgment isn't.
Founded in 2025 in Gujarat, India by Harsh J. Bhanushali and Rishi A. Bangoriya.
DualMind Labs builds infrastructure for evaluating frontier AI models and autonomous agents. Our products turn model outputs and agent attempts into measurable, comparable results.
Compare models on identical prompts and tasks.
Run multiple agents against the same task and evaluate their results.
Build, test, and analyze AI applications with structured evaluation workflows.
A head-to-head AI evaluation platform where models compete on the same prompts and users compare their responses.

DualMind evaluates AI systems across model providers instead of assuming a single model is best for every task.
This is the product direction behind DualMind's model and agent evaluation architecture.
01
Every model receives the same prompt or evaluation task.
02
Responses and agent attempts are evaluated using consistent criteria.
03
Human and automated evaluation produces measurable comparisons.
We're expanding beyond model comparison toward agent evaluation, where multiple AI agents independently attempt the same software or reasoning task and their results are evaluated using structured evidence.
DualMind Labs is an AI research and product lab building infrastructure for evaluating and comparing AI models and agents. Founded in 2025 by Harsh J. Bhanushali and Rishi A. Bangoriya in Gujarat, India.
Harsh J. Bhanushali
Founder
Rishi A. Bangoriya
Founder
2025
DualMind Labs founded.
2025–2026
DualMind Arena developed and launched.
2026
Expanding into AI agent evaluation and infrastructure.