Pluvo

What Pluvo does

Pluvo provides AI-native infrastructure for strategic finance teams, replacing manual analysis with always-on finance intelligence. It codifies how a company works into a single governed model, then uses AI agents to run analysis, reporting, and decisions with full business context. The platform connects various systems to create a single source of truth, turns documents into governed data, and models the logic behind every metric. It enables automated recurring analysis, task closure, and provides traceable numbers back to their source with policy and audit controls. Pluvo aims to transform finance operations by providing a living system that detects, explains, and acts on real-time business data, allowing finance, data, and strategy teams to operate at the speed of AI.

Products

• PlatformA comprehensive platform for the entire finance function, providing access to every relevant financial datapoint for teams and AI agents. It connects systems, models business logic, and enables agents to perform analysis with deterministic and traceable results.
• VaultA feature within the platform that extracts information from financial documents (contracts, invoices, statements), links it to the ledger, and keeps the source attached, turning documents into queryable data.
• PluginA tool that brings Pluvo's computed, cited answers into existing tools like Slack, Excel, Google Sheets, and MCP-compatible AI surfaces, allowing users to ask questions in plain language and receive governed numbers.
• OntologyThe business context layer that models how a business works, including entities, relationships, and definitions behind the numbers, enabling AI agents to reason over company-specific context.

Key capabilities

• AI-native infrastructure for finance
• Codifies how a company works into a single governed model
• AI agents for analysis, reporting, and decisions
• Connects every system into one source of truth
• Turns documents into governed data
• Models the logic behind every metric
• Automates recurring analysis and close tasks
• Traces any number back to its source
• Policy and audit on every answer
• Report generation with narrative, schedules, tables, and source links
• Monthly close automation (spend flux, reconciliations, accruals)
• Board narrative generation (revenue, burn, runway, story)
• Variance drivers explanation
• Runway scenarios modeling
• Audit support (schedules, evidence, source links)
• Excel integration with governed context and traced formulas
• Integration with other AI tools (ChatGPT, Claude, Cursor) via MCP and API
• Lineage for trusted, source-grounded outputs
• Controls for data governance, permissions, and audit trails
• Scheduling for continuous analysis
• Collaboration features for investigations and insights
• Anomaly detection in real-time
• Scenarios modeling on live data
• Automatic variance analysis
• Finance engineering support
• Dedicated trainings and finance-engineering certification
• Tenant isolated workspace
• Read-only access to source systems
• SSO and RBAC for access control
• Encryption at rest and in transit
• No model training on customer data
• DPA and privacy review
• SOC 2-aligned control set
• Scoped credential controls
• Traceable AI work with derivation paths
• Activity logging for prompts, calculations, exports, and access events
• Role-based access without seat limits
• Report approval workflows
• Governed outputs with inherited permissions
• Immutable, versioned history for data and ontology

Use cases

• Replacing manual analysis with always-on finance intelligence
• Automating recurring analysis and close tasks
• Generating decision-grade reports
• Monthly close automation (flux review, reconciliations, accruals)
• Creating board narratives
• Explaining variance drivers
• Modeling runway scenarios
• Providing audit support
• Bringing governed context into Excel
• Integrating with other AI tools for business logic
• Continuous analysis and scheduling
• Collaborating on financial investigations
• Detecting performance anomalies
• Modeling decisions on live data
• Analyzing changes in performance
• Contract term tracking
• Invoice capture
• Prepaid and accrual schedule building
• Vendor spend analysis
• Slack Q&A for finance questions
• Live numbers in Excel board models
• Self-refreshing Google Sheets team trackers
• Custom agents over MCP for finance context
• Executive self-service for financial numbers
• Price-volume-mix analysis
• Forecasting and cash planning
• Strategic finance grounding in live context
• Metric standardization
• Entity resolution across systems
• Multi-entity onboarding
• Policy grounding for recognition and allocation rules
• Agent context for consistent reasoning

AI approach

Pluvo provides an AI-native infrastructure for strategic finance. It codifies how a company works into a single governed model, then deploys AI agents to perform analysis, reporting, and decision-making. The platform focuses on providing reliable business context to AI agents, ensuring every number is traceable to its source, and offering controlled access to data. It emphasizes grounding AI in business logic rather than generic models.

Tech named: AI agents, ontology, knowledge graph, MCP (Model Communication Protocol), ChatGPT, Claude, Cursor

What it says sets it apart

• AI-native infrastructure specifically for strategic finance
• Codifies how a company actually works into a single governed model
• AI agents operate with full business context, not just data
• Replaces manual analysis with always-on finance intelligence
• Connects every system into one source of truth
• Turns documents into governed, ledger-linked data
• Models the logic behind every metric
• Every number is traceable back to its source
• Built with strict policy and audit controls
• Provides decision-grade reports, not guesswork
• Offers a 90-day risk-free Proof of Value (POV)
• Unlimited seats and reports in pricing plans
• Priced on systems connected and controls needed, not per user
• Generous monthly pool of AI Tokens with rollover options
• Read-only by design for security
• Tenant isolated workspaces
• No model training on customer data for AI governance
• Immutable, versioned history for data and ontology
• Provides finance engineering support and certification

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.