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Qofi
qofi — frontier AI inside the institution

impossible iswhere we start

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Qofi fuels leading institutions to solve their most complex problems by bringing together operators, researchers, and builders to drive creativity and results

how we work

We install frontier AI inside the institution, grounded in its own documents, data, and decisions — a deployment, not a license.

01
Detailed Project Scoping

We map the workflow, the data behind it, and the decision it feeds, then commit to timelines, cost, and expected impact before the build starts.

02
Custom-Built AI Software

Workflow automations and product features built to production standard, inside the institution’s own environment and stack.

03
Evals

Ground-truth data and evaluation harnesses measure accuracy throughout development, so performance is known rather than asserted.

04
Deep Collaboration

We sit with the desk that owns the outcome. They bring the judgment; we bring the systems.

05
Deployment and Handoff

Code, documentation, and walkthroughs, plus the rollout and training that leave the team owning the system.

06
Ongoing Enablement

Hands-on programs keep desks current on frontier models and the workflows they change, so capability compounds inside the firm.

Still frame from the Qofi showreel

where we work

Regulated, document-heavy institutions where a decimal point matters.

Investment BankingPrivate EquityPrivate CreditAsset ManagementInsuranceMarket InfrastructureFamily OfficesSovereign FundsHedge FundsVenture CapitalM&AAdvisoryCredit UnderwritingAccountingLawTaxWealth ManagementCapital MarketsStructured CreditReinsurance

projects

Six engagements where the work reached production — each one deployed inside the institution.

Reserve case study cover
Reserve
Workflow AgentsKnowledge HubsDocument Generation
Open Rails case study cover
Open Rails
Workflow AgentsContext GraphIntegrations & MCP
Fair Credit Index case study cover
Fair Credit Index
Workflow AgentsContext GraphDocument Generation
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40+Workflows mapped across banking and PE desks
12Production agents running under desk supervision
3.2MDocuments in governed context graphs
100%Outputs traceable to a source document

services

From board-level strategy to custom agents, plus the infrastructure and platform they run on.

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insights

Notes from the build: what holds up in production, and what the work teaches along the way.

Mar 2026 · Workflow AgentsWhat agentic AI actually changes for compliance teamsLess than the vendors claim, more than the skeptics think — notes from a year on the desks.Feb 2026 · Document GenerationDesigning risk dashboards people trustRisk dashboards are routinely abandoned within months of launch. The failure is rarely visual.Jan 2026 · Context GraphThe case for open payment railsPayments data is the most standardizable data in finance, and the least standardized.
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team

Researchers and operators from the banks, funds, labs, and universities our team came from.

HOW WE WORK
TRUST
DATAJUDGMENTCRAFT

We are researchers and operators from trading floors, frontier labs, and big tech who like our problems knotty and our answers testable.

Our partners run funds, banks, and deal teams — work where a decimal point matters and trust is the whole product.

We map the workflows where judgment repeats, build a context graph of the firm’s own documents and decisions, and deploy agents into production under desk supervision.

Hard problems, good company. That's the whole pitch.

Columbia UniversityGoldman SachsGoogleNYUJ.P. MorganMicrosoftUniversity of PennsylvaniaUBSMetaStanford UniversityBlackstonePerplexityYale UniversityThe Carlyle GroupMorgan StanleyKKR
meet our team