​AltsCentralAI™ – Our Core Platform for Asset Managers​

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AltsCentralAI is an AI-native, multi-tenant, extensible SaaS platform for the alternative asset management industry. We apply agentic AI, large language models, quantum-ready analytics, and modern cloud infrastructure across the entire investment lifecycle—from onboarding and trading to risk, reporting, and tokenization—so managers can cut costs, reduce errors, and grow AUM with lean teams.

We empower RIAs, asset managers, hedge funds, private markets sponsors, and wealth platforms to build, optimize, and manage custom portfolios at scale through AI-powered investment solutions and model portfolios.

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AI-driven portfolio construction & optimization

• Custom model portfolios and sleeves tailored to mandates, constraints, and risk budgets

• Daily processing of large, complex datasets to generate actionable insights and scalable personalization

End-to-end workflow orchestration

• Integrates with your OMS/PMS, fund administrators, custodians, blockchains, and market data providers

• Functions as your firm’s “AI brain” across trading, operations, compliance, reporting, and investor servicing

• Automates repetitive tasks and reduces operational risk

Digital & tokenized assets ready

• Blockchain-ready data layer and rule engines to support RWA tokenization and crypto asset management

• Launch on‑chain products without rebuilding your core infrastructure

Institutional delivery model

• U.S.-based leadership with near-shore engineering and operations

• Institutional-grade security, regulatory alignment, time-zone coverage, and cost efficiency

 

Our SaaS solutions help embed AI into your firm’s DNA. We co-develop custom models and workflows that reflect your investment philosophy, risk appetite, and controls—so you can make smarter decisions, reduce manual work, and target superior risk-adjusted returns.

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Platform - Technology Highlights​:

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1. Azure Landing Zone and Multi‑Cloud Control Plane

A hardened Azure Landing Zone establishes the primary security, network and identity baseline, replicated via infrastructure as code into Amazon Web Services, Google Cloud, Salesforce Cloud and Oracle Cloud.​

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2. Unified Capital‑Markets Lakehouse

A medallion lakehouse on Azure Data Lake Storage Gen2 consolidates trade, position, reference, private‑markets and digital‑asset data into a single analytic plane for all business lines.​

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3. Semantic, Knowledge and Vector Layer

A semantic layer combines vector search and a knowledge graph so models and agents operate over business entities rather than raw tables.

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4. Agentic AI Fabric

An agent runtime on Azure Kubernetes Service orchestrates domain agents for KYC and KYB, sanctions, liquidity, credit, IPV, regulatory filings and DeFi risk.

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5. Model‑Agnostic LLM and ML Gateway

A model gateway abstracts inference across Azure OpenAI, Azure Machine Learning models and third‑party LLM providers while enforcing uniform safety controls.

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6. AI Telemetry, Evaluation and Governance

Comprehensive telemetry and governance quantify quality, drift and operational risk for every AI interaction that affects front, middle or back office outcomes.

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7. Multi‑Tenant Isolation and Data Residency

A multi‑tenant architecture separates a shared control plane from tenant‑specific data and compute planes and enforces jurisdictional residency policies.

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8. Integration Fabric for Traditional and Digital Asset Rails

A canonical integration fabric exposes normalised APIs and events for venues, custodians, fund administrators, service providers, blockchains and DeFi protocols.

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9. Elastic Compute Fabric for Quant, Risk and LLM

An AKS‑based compute grid with specialised node pools supports quant analytics, XVA, surveillance, pre‑trade checks and large language model workloads.

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10. Tokenization, DeFi and Advanced Analytics Rails

The data and contract layer natively represents tokenized real‑world assets, on‑chain funds and DeFi positions alongside traditional instruments, as reflected in the core platform and AI architecture sketches.​