Agentic Infrastructure for Sell-Side Research Monetization
Agentic infrastructure that turns published sell-side research into secure, AI-ready data for direct workflow integration
Institutional Capabilities
Move beyond static research reports to a dynamic, agentic ecosystem built for the strict performance and compliance needs of Tier-1 desks
How Inginuiti works - from published research to AI-ready data
01
Index & Secure
Convert decades of unstructured research into structured, searchable agentic data while maintaining 100% institutional data sovereignty.
02
Synthesize & Distribute
Arm your Sales & Trading desks with real-time synthesis of market signals and proprietary alpha to win the "First Call."
03
Connect & Scale
Integrate your Broker research directly into client AI workflows through secure, agent-ready APIs, moving beyond the inbox.
Unified Institutional Orchestration
Agentic AI is only as powerful as the data it can access. Inginuiti securely bridges the gap between your proprietary alpha and real-time global market signals.
Power up your workflow with next-gen features
Sovereign Cloud Deployment
Built for Tier-1 security requirements. Your data stays within your tenant, isolated from public models and third-party training environments.
Zero-Trust AI Orchestration
Leverage frontier LLMs through an enterprise data layer that ensures your intellectual property is never exposed to external model training.
How is this different from a basic AI chatbot?
A chatbot is reactive - it waits for you to ask a question. Inginuiti is proactive. It doesn’t just answer questions; it actively scans your morning research, identifies trade ideas, and maps them to the right clients in your CRM before you even finish your first coffee.
Does our research stay inside our firm?
Yes. Your proprietary Alpha never leaves your infrastructure. We don’t host your data, and we certainly don't use it to train "public" AI models. Inginuiti acts as a secure lens that sits over your existing research, ensuring your intellectual property stays 100% private and sovereign.
How do I use my existing research library with Inginuiti?
Inginuiti is designed to act as a digital-native layer over your firm’s primary research library. Our infrastructure recognizes the depth of your existing published work - converting PDF archives into a high-velocity, searchable data environment. This ensures that every piece of your team's conviction, whether published today or two years ago, remains at the front-office's fingertips and is fully discoverable during client synthesis.
Does Inginuiti integrate with my existing CRM and workflow?
Yes. Inginuiti is designed to unify your firm’s intelligence with your specific front-office stack. The platform synthesizes research insights and maps them to client profiles, then provides the Salesperson or Trader with a drafted outreach (Chatroom or Email). To ensure total control and compliance, the salesperson remains the final decision-maker, reviewing and manually copy-pasting the drafted message into the client channel. This ensures that every institutional touchpoint remains human-led and perfectly aligned with your firm's compliance standards.
Can I trust the trade ideas it generates?
Every insight is strictly grounded in your own analysts’ views. Inginuiti doesn't pull data from the open internet; it only uses the research your firm has published. If your analyst hasn't said it, Inginuiti won't say it. It’s your firm’s conviction, amplified by our infrastructure.
Leadership & Advisory
Mark Tabrett - Founder
Mark brings c.20 years of institutional experience in Finance and Equity Research to Inginuiti. Before founding the company, he was a Sell-Side Equity Research Analyst at Bernstein and Jefferies, where he worked in Energy research teams ranked Top-3 by II and Extel.
Bev Hendry - Strategic Advisor
Bev is the former Chairman and CEO of Aberdeen Asset Management Americas. He provides institutional oversight and strategic guidance, ensuring our infrastructure meets the highest standards of global asset management and sell-side requirements.
