PULVAN TECHNOLOGIES LLP

In their own words

The Problem: The "Accountability Gap" in AI AdoptionScaling vs. Observation: Financial institutions are deploying AI systems faster than their ability to monitor them, leading to a state where AI influences thousands of decisions without centralized oversight. Outcome-Only Visibility: Current dashboards are designed to show what happened (e.g., a spike in loan rejections) but provide no insight into why it happened, leaving the underlying logic as a "Black Box". The Investigation Bottleneck: When an AI behaves unexpectedly—such as an autonomous chatbot giving an abnormal response or a fraud engine triggering false alerts—it takes human teams hours or days to manually reconstruct the decision pathway across fragmented systems. Regulatory & Operational Risk: Without traceable decision pathways, banks face high risks of policy violations, sensitive data exposure, and failure to meet strict new global transparency mandates like the EU AI Act. The Solution: The AI Decision Visibility LayerLogic Traceability: Pulvan provides a "Glass Box" infrastructure that connects technical model performance directly to business outcomes by mapping model versions, input influences, and decision thresholds in real-time. Rapid Diagnostics: Our platform reduces the time required to investigate unexpected AI behavior from days to minutes, allowing leadership to immediately identify the root cause of any anomaly. Agentic Governance: We provide a specialized oversight layer for autonomous "Agentic" systems, ensuring that AI agents executing actions in lending or customer operations remain within predefined policy boundaries. Automated Escalation: Through a 3-stage roadmap, Pulvan moves institutions from manual mapping to Automated Governance, where the system can automatically halt or alert on unauthorized actions, decision drift, or policy breaches

Written by the company on its public Startup India profile. Not verified by us.