Research that informs production decisions.
Public work in reasoning, coding agents, model behavior, and efficient inference informs how we evaluate models and design controlled AI workflows.
Research depth. Production discipline. Business focus.
Mindify AI combines applied research with production engineering. Work in structured reasoning, coding agents, hallucination mitigation, model efficiency, and private deployment informs how we evaluate models and build reliable AI workflows.
Process Supervision via Verbal Critique Improves Reasoning in LLMs
A training-free generate–critique–refine framework for structured reasoning at inference time.
Informs how complex agent workflows can expose intermediate review and correction instead of relying on one opaque answer.
Verbal Process Supervision Elicits Better Coding Agents
CURA, a code understanding and reasoning agent enhanced with verbal process supervision.
Guides repository-aware assistants that need to inspect evidence, reason over changes, and recover from weak implementation paths.
Delta — Contrastive Decoding Mitigates Text Hallucinations in LLMs
An inference-time decoding method designed to suppress hallucinations without retraining or additional data.
Supports model evaluation and routing decisions for workflows where unsupported text creates operational risk.
Move your highest-value AI opportunity toward production.
Tell us about the workflow, data, security requirements, or AI initiative you are evaluating. We will help identify the most practical path from opportunity to deployment.