Built by Researchers and Operators From
How Qofi Operates Inside the Firm
From board-level strategy to custom agents, the infrastructure to scale them, and the rollout that makes them stick.
AI Business Strategy
Board-level vision, AI education for leaders, ROI models, and roadmaps matched to the institution's challenges and ambitions, in as little as two weeks.
Custom AI Solutions
AI agents built to drive competitive advantage, take out cost, and open new opportunities, developed safely, at scale, and integrated into the firm's environment, typically in production in under twelve weeks.
Enterprise AI Infrastructure
The enterprise technology and skills to scale AI across the business, AI architecture, evaluations capability, agentic frameworks, and knowledge pipelines, with support to grow AI teams, governance, and in-house skills.
Adoption and Rollout
Playbooks, training, and enablement that turn frontier models, code agents, and custom AI into long-term value across the organisation.
The Platform and the Technology
Every Document, Deal, and Decision, Connected
Qofi builds a living context graph of the institution, mapping its filings, models, memos, counterparties, and precedents into one structured layer that every agent reasons over.
A Deployment, Not a License
Qofi embeds inside the institution and ships working AI into live workflows, operated by ex-finance engineers, governed by the firm, measured against production outcomes.
Forward-deployed engineers sit with the desk to find where judgment is repeated and where AI compounds value.
Connect the firm's documents, models, and systems into one governed layer, entirely inside the perimeter.
Agents run live workflows under desk supervision, with every output traceable to its source in the graph.
Track outcomes against production benchmarks, hold every agent to the institution's standards, and scale to the next desk.
Connected to the Tools the Desk Already Runs
The context graph plugs into the institution's existing data, research, and workflow systems, no rip and replace.
Deployed Inside the Perimeter
Qofi runs within the institution's own environment. Client data is never training data, tenants are isolated, and every action is logged and auditable.
Learn more about security“The primary obstacle to AI progress is rarely model quality or data availability, but rather the last mile of transformation, where technical capability must meet organizational design.”