AltaVestAI (AVST), an AI-powered, self-clearing investment banking broker-dealer platform, has acquired internal-use versions of InteliClear, a multi-asset, post-trade processing platform, and AUG AI, an advanced artificial intelligence engine purpose-built for investment banking, research, and trading analytics.
The move gives AltaVestAI full ownership of its core technology infrastructure—positioning it to manage both traditional and digital assets on a single, unified platform, according to Anthony Panos, Co-founder and Chief Product Officer at AltaVestAI.
He said this integration is not merely a technical upgrade but a step toward structural transformation in post-trade processing. “By bringing InteliClear’s proven, multi-asset post-trade infrastructure together with AUG AI’s advanced analytics and automation, AltaVestAI achieves true cross-asset fluency,” he explained.
The combined system enables AltaVestAI to process equities, fixed income, options, mutual funds, and a range of digital assets—including tokenized securities and blockchain-native instruments—within a consolidated environment.
“The integration eliminates operational silos,” said Panos. “It allows AltaVestAI to seamlessly net, clear, and settle across asset classes with consistent controls and reporting,” he told Traders Magazine.
According to Panos, a key advantage of owning the full technology stack is the ability to integrate compliance and risk management directly into each operational layer. Rather than treating regulatory oversight as a separate or downstream process, AltaVestAI uses AUG AI to embed controls from trade origination through to settlement and reporting, he said.
“A vertically integrated stack ensures that compliance and risk controls are embedded directly into every workflow,” Panos noted. “AI augments this by continuously monitoring activity, identifying anomalies, and automating exception resolution in real time.”
This design provides what Panos described as “audit-ready transparency,” offering firms more robust compliance than legacy systems that rely on layered or bolted-on controls.
Another key capability enabled by the integration is round-the-clock exception management. In many traditional systems, post-trade operations are limited by time zones, manual workflows, and resource availability. AUG AI alters that dynamic by introducing continuous monitoring and automated exception handling, he said.
“Exceptions that previously required manual review are now automatically identified, categorized, and resolved—often before human operators even see them,” Panos said. The system’s 24/7 coverage also helps reduce downtime and settlement delays, setting what Panos views as a new operational standard: “zero downtime, faster settlement, fewer breaks, and dramatically reduced operational risk.”
Panos also drawed attention to the limitations of older vendor-based platforms, which were often built for more segmented, slower-moving markets. He argued that the in-house, AI-powered architecture adopted by AltaVestAI addresses both cost and adaptability.
“Legacy systems were built for a slower, more siloed era,” he said. “They are costly, rigid, and often force firms into dependency on a few dominant vendors.” By contrast, the new model allows for quicker onboarding, scalability, and a lower overall cost structure—benefits that apply to both established institutions and emerging market participants, he said.
“This levels the playing field,” Panos added, noting that smaller or mid-sized firms can now access tools and capabilities once limited to large global incumbents.
With full control of its post-trade infrastructure, AltaVestAI is aiming to offer a more agile, scalable alternative to traditional systems—one capable of handling the growing convergence of traditional and digital markets.
“AltaVestAI is not just processing trades. It’s acting as an intelligent control layer for global financial markets,” Panos concluded.
