AI platform
Shared infrastructureShared AI infrastructure components that can be used across the portfolio, on one governed surface: build, govern, operate and scale.
Astira builds shared AI capabilities centrally and works with management to adapt them to each business. A common foundation is designed to let what we learn in one deployment inform the next.
Shared AI infrastructure components that can be used across the portfolio, on one governed surface: build, govern, operate and scale.
Our proprietary AI, built to improve service delivery and business performance. Deploy-ready AI modules and purpose-built small language models act as the building blocks for AI applications.
AI engines and agents support investment analysis, from market mapping and target assessment to testing investment theses, reviewing data room documents and identifying risks.
Our investors and business transformation leaders guide how applied AI supports investment analysis and portfolio operations. They lead the development of our proprietary AI capabilities, supported by specialist partners and advisors.
Approved AI roadmaps at our platforms, all in execution with management.
We aim for measurable results within months of roadmap approval.
Our goal is growth that outpaces headcount as AI takes on repeatable work.
We aim to shift expert time to review, judgment and advisory, raising productivity.
Together with management, a technology roadmap delivering better recovery models and automated collector workflows, freeing collector capacity and improving client outcomes.
A 36-month product and AI roadmap that moves CallRevu from reporting to orchestration, with real-time coaching, missed-lead recovery and dealer-level revenue signals.
From manual audit to AI in the loop: machine-learning engines re-price invoices against contract terms and flag duplicate charges, so auditors start with the errors most likely to matter.
AI handles bookkeeping entries and repeatable close tasks, and accountant time moves from posting transactions to review and advisory.

Founding Partner
Investments AI strategy

Principal
Asset owner: Finance AI

Partner
Investments AI strategy, and AI strategy and delivery across the fund and portfolio

Principal
Asset owner: Deal Origination Engine, fund-wide

Partner, Head of AI
Astira AI Cortex, and AI strategy and delivery across the fund and portfolio

Principal
Asset owner: Audit Intelligence & Document DB

Co-Founder & CEO, Heizen AI
Aman Arora is the Co-Founder and CEO of Heizen AI, an AI-native engineering company building enterprise AI systems for complex supply-chain and operational workflows.

Co-Founder & CTO, Heizen AI
Abhilasha Singh is the Co-Founder and CTO of Heizen AI, where she leads AI research, engineering and the development of Heizen AI’s enterprise AI platform.

CTO, Lunon AI
Leads development of the proprietary software and algorithms behind each Lunon AI portfolio engagement. Artificial Intelligence and Information Systems, Carnegie Mellon University.

CEO, Lunon AI
Leads Lunon AI's partnership with Astira and oversees engagement strategy across the portfolio. Computational Finance and Economics, Carnegie Mellon University.

COO, Lunon AI
Leads Lunon AI's operations and recruits the forward-deployed engineering teams placed with portfolio companies. Artificial Intelligence and Business, Carnegie Mellon University.

Co-Founder & CTO, Nebula9 AI
Leads product and technology at Nebula9 AI, including the architecture of EvoPort.ai. More than 23 years in product development, technology leadership and enterprise solutions, including Quantiphi, WNS and Cognizant.

Co-Founder & CEO, Nebula9 AI
Leads business strategy and enterprise AI adoption at Nebula9 AI, helping organizations move from AI experimentation to production. More than 24 years building AI, analytics and cloud businesses, including Quantiphi, WNS and GE Capital.
We will walk you through Astira AI Cortex and introduce the team behind it.