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What is RAFA?

They consistently examine your investment portfolio alongside the market environment to identify both opportunities and potential threats, gaining a deeper understanding of your trading patterns while helping you develop a more disciplined investing strategy by learning from past mistakes and successes. Imagine a team that is deeply knowledgeable about the financial market, capable of quickly identifying changes and providing customized recommendations that reflect your personal investment inclinations. RAFA's AI Agents act as steadfast allies, meticulously analyzing your trading activities to help refine your approach and avoid previous pitfalls. By considering both your past and current investment behaviors, the AI delivers insights specifically tailored to align with your financial goals and aspirations. RAFA’s agents not only provide answers but also create personalized strategies, empowering you to cultivate a disciplined investment methodology that enhances your potential for success. With their ongoing assistance, you can approach the intricacies of investing with increased confidence and clarity, ensuring you remain informed and proactive in your financial journey. This level of support allows you to stay ahead in a constantly evolving market, ultimately leading to more informed decision-making.

What is OnCorps AI?

OnCorps is an AI-first operational intelligence platform that brings agentic automation to fund administration, accounting oversight, and asset management workflows. Its specialized reinforcement learning agents analyze massive volumes of operational data—including trades, positions, cash movements, and reconciliation files—to detect irregularities with speed and precision unattainable through manual review. Asset managers like Pimco and Natixis have leveraged OnCorps to eliminate entire rounds of review, reduce time spent on oversight by more than 90%, and create transparent audit trails that strengthen compliance. The platform integrates advanced AI models that continually learn from historical errors, operational patterns, and firm-specific rulesets, ensuring increasingly accurate predictions over time. OnCorps aggregates and indexes documents, reports, and data flows from across the organization so agents can interpret context the same way a human reviewer would. With advisory partnerships and research collaborations spanning Yale, Harvard, Oxford, and MIT, the platform blends academic rigor with real-world financial expertise. Every agent’s performance is monitored and measurable, allowing firms to validate accuracy and maintain full control over automation. Enterprise standards—including SOC 1 and ISO 27001—ensure operational resilience, data protection, and institutional trust. By offloading repetitive oversight tasks to AI, operational teams can redirect their time toward strategic analysis and client-facing priorities. OnCorps ultimately delivers a measurable return on AI, transforming fund operations from labor-heavy processes into streamlined, intelligence-driven systems.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$29.99 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Android
iPhone
iPad
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

RAFA AI

Date Founded

2019

Company Location

United States

Company Website

rafa.ai

Company Facts

Organization Name

OnCorps AI

Date Founded

2011

Company Location

United States

Company Website

www.oncorps.ai/

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Finance

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Finance

Not specified

Financial Services

Not specified

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