Aurionpro launches AurionAI for production-ready banking AI

By Vriti Gothi

Aurionpro has launched AurionAI, a unified enterprise AI platform designed specifically for banks and financial services institutions, signalling a shift away from experimental AI pilots toward governed, production-ready deployments.

Unveiled at the company’s “Enterprise AI Unleashed: Redefining Intelligence” event, AurionAI brings together Arya.ai’s BFSI-focused AI stack with the research and governance capabilities of Lexsi Labs. Rather than competing in the crowded generative AI market, Aurionpro is positioning the platform around a persistent industry challenge: banks’ difficulty in operationalising AI models that can meet regulatory, risk, and audit requirements.

At the core of AurionAI is a five-layer architecture spanning application, orchestration, model, knowledge, and data—designed to embed compliance, explainability, and banking workflows from inception. This approach contrasts with more common strategies that apply governance controls after models are built, a practice that has often slowed production rollouts in regulated environments.

Lexsi Labs serves as the AI engineering and governance backbone of the platform, contributing capabilities aimed at regulatory defensibility and operational trust. These include DL Backtrace v2 for near-real-time model interpretability and auditing, Orion tabular foundation models optimised for structured financial data, and safety-aware fine-tuning frameworks that incorporate regulatory and fairness constraints during training. The platform also applies model-pruning techniques to improve production efficiency and uses adversarial testing to identify vulnerabilities before deployment.

AurionAI emphasises depth, trust, and production readiness over generic AI superlatives. By unifying our Enterprise AI Framework, Applied AI capabilities, Banking Intelligence layer, and breakthrough foundational research under a single domain-led vision, we aim to show that India can build a world-class banking AI engine that is both ambitious and credibly deliverable,” said Ashish Rai, Group CEO, Aurionpro.

The company argues that banks relying on fragmented AI stacks, often involving separate vendors for modelling, domain logic, interpretability, and resilience, face integration gaps that hinder scale and compliance. By embedding governance and robustness directly into its BFSI-centric platform and extending these capabilities into existing products such as Integro for lending and iCashpro for transaction banking, Aurionpro is seeking to offer continuity for current customers while strengthening its regulatory positioning.