Unified knowledge layer
Connects firm files, deals and external market data in a permissioned, searchable layer, with sources such as Capital IQ, FactSet, PitchBook, SEC filings, earnings transcripts, and web and news data.
VectorShift analyzes firm files and deal data to produce sourced answers, IC memos and financial models for private-market investment teams.
VectorShift is an agentic AI platform for private market investment firms. It combines a permissioned knowledge layer for firm files, deal records, and external market data with workflows that can analyze information, perform multi-step tasks, and produce sourced outputs. The platform supports investment, portfolio, investor relations, finance, legal, compliance, and office operations teams through purpose-built interfaces, a skills library, integrations, and configurable workflows.
Its core workflows include data room analysis, presentation review, portfolio monitoring, IC memo drafting, DDQ responses, contract review, valuation support, and reporting. Outputs can include partner-ready decks, memos, Excel models, and DDQs. VectorShift states that figures can be traced to their source document, page, and paragraph, while access controls can be inherited by deal, fund, or role.
Connects firm files, deals and external market data in a permissioned, searchable layer, with sources such as Capital IQ, FactSet, PitchBook, SEC filings, earnings transcripts, and web and news data.
Links figures and findings to the originating document, page, and paragraph so teams can review conclusions with their supporting evidence.
Decomposes goals into plans, uses tools and data, applies language models and guardrails, and iterates toward sourced and formatted results.
Provides reusable workflows for tasks such as DCFs, LBOs, M&A analysis, comparable-company tables, strip profiles, deck proofreading, and sponsor overviews.
Includes presentation review, portfolio monitoring, table analysis, data room tracking, and searchable meeting recording for recurring investment workflows.
Supports single-tenant cloud, VPC, and on-premises deployment. The platform states that data is not used for model training and that permissions can follow firm access controls.
Index a data room, flag missing or changed filings, compare presentations with underlying materials, synthesize expert interviews, and draft sourced IC memos.
Track portfolio companies against investment theses, identify deviations and risks, and bring relevant findings into board and monitoring workflows.
Draft DDQ responses, quarterly letters, capital notices, and fundraising materials from current fund and portfolio data using firm templates.
Prepare draft models, valuations, regulatory filings and contract reviews from fund data, using sourced material to support the firm’s finance, legal and compliance review.
Apply the platform within portfolio companies for sales intelligence, customer and market research, back-office automation, and standardized operating reports.
It is designed for private market investment firms and teams including deal teams, investor relations, CFO and fund finance, legal and compliance, portfolio value creation, and office operations.
The platform can generate sourced and formatted partner-ready materials such as decks, memos, Excel models, and DDQs, along with workflow-specific analyses and reports.
Yes. The platform describes connections to internal files, systems of record, external data providers, and more than 100 integrations, including SharePoint, OneDrive, Outlook, Excel, PowerPoint, OneNote, and Box.
VectorShift states that it supports single-tenant cloud, VPC, and fully on-premises deployment. It can inherit access controls by deal, fund, or role, and says customer data is excluded from model training.
The platform describes provenance by default, with figures traceable to the document, page, and paragraph from which they came.
Traffic data is for reference only.