Pluvo
Also known as: Pluvo
AI native decision intelligence platform whose agents analyze financial models, trace variance, and simulate scenarios for CFOs in real time.
Pluvo is an AI native decision grade intelligence platform for finance and strategy teams, built for CFOs and financial planning and analysis groups. It uses agentic AI orchestration to deploy specialized agents that understand a company financial model, evaluate forecast assumptions against actuals, trace the drivers behind a variance, and simulate scenarios in real time, delivering explainable, computation backed analysis that leaders can interrogate. Positioned at the decision layer above the system of record, Pluvo runs continuous variance analysis, multi scenario planning, and forecasting, continuously monitors data across systems and flags anomalies using governed business logic, and connects insight to execution through governed AI powered workflows. Over time it builds institutional memory by treating assumptions as first class data that is structured, versioned, and queryable, preserving the reasoning behind past decisions.
Vendor details
Canonical URL
https://pluvo.io
Category
Data analyst agent
Funding status
Seed round of 5 million dollars (February 2026) led by Andreessen Horowitz a16z speedrun, with Deel, The Perseverance Fund, StandUp Ventures, AltaIR Capital, and strategic angel investors including existing customers, per Business Wire and PYMNTS. Alumnus of Alchemist Accelerator and selected for a16z speedrun. Founded 2024. Co headquartered in Ottawa, Canada and San Francisco, California. Co founders Alex Labreche (CEO) and Seb Fallenbuchl.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates across the client data stack including ERP, CRM, HRIS, and billing systems, turning systems of record into model grounded, decision grade analysis.
Sources & related URLs
Capability coverage
9.0 / 14 capabilities · 64%
| Integrations & Tool CallingIntegrates across the client data stack including ERP, CRM, HRIS, and billing systems to turn systems of record into model grounded analysis per the seed coverage and pluvo.io. | Full |
|---|---|
| Workflow OrchestrationUses agentic AI orchestration to deploy and coordinate specialized analysis agents and connects insight directly to execution through AI powered workflows operating on shared data and business logic per pluvo.io. | Full |
| Knowledge Grounding & RAGPluvo emphasizes model grounded reasoning, connecting metrics, drivers, and operational data through a consistent logic layer so every answer is grounded, explainable, and aligned across teams per pluvo.io. | Full |
| Human Oversight & GuardrailsThe platform is positioned to augment rather than replace finance teams, with explainable analysis leaders can interrogate and governed automation, though no explicit human approval gate before automated actions was documented this session. | Partial |
| Security, Identity & GovernanceArchitecture is described around enterprise grade data integrity and governed business logic, but no named infosec certification was retrieved this session. | Partial |
| Observability & AuditabilityFinance leaders receive explainable, computation backed analysis they can interrogate, with assumptions treated as structured, versioned, queryable data creating a longitudinal, auditable record of decision logic per pluvo.io and PYMNTS. | Full |
| Memory & State PersistencePluvo builds institutional memory by capturing the reasoning behind decisions and preserving assumptions as first class data alongside the numbers they shape, so future analyses become faster and better aligned per pluvo.io and the raise post. | Full |
| Deployment & Data ResidencyDelivered as a cloud SaaS platform; no self hosted or data residency option was retrieved this session. | Partial |
| Prebuilt Agents / Templates / PacksShips structured analysis capabilities such as continuous variance analysis, multi scenario planning, and forecasting as reusable workflows rather than a self serve catalog of prebuilt agents. | Partial |
| Triggers & Channel CoverageAnalysis runs continuously or on a schedule, anomalies are identified in real time using governed business logic, and actions are triggered in real time and carried out by AI agents per pluvo.io. | Full |
| Model Flexibility & RoutingNo customer selectable model or model routing is documented this session; the platform uses its own agentic orchestration internally. | Unable to verify |
| APIs / SDKs / MCP ExtensibilityPluvo positions itself as giving the customer AI implementation and agents a trusted context foundation, implying an extensibility surface, but no public REST API, SDK, or MCP endpoint was documented this session. | Partial |
| Testing, Debugging & OptimizationAgents evaluate and stress test forecast assumptions against actuals and simulate scenario performance in real time, an analysis validation and simulation loop rather than a formal agent evaluation framework. | Partial |
| Browser / Computer-useNo browser driving or computer use capability; Pluvo analyzes financial data and runs workflows rather than operating a browser or GUI. | Unable to verify |
Pricing
Custom (contact sales)
Cost watchouts
Agentic analysis usage and number of connected systems or seats likely drive cost; not disclosed this session.
Variable cost rationale
Continuous and scheduled agentic analysis across connected systems implies cost that scales with data volume and analysis frequency, though the pricing unit was not retrieved this session.
Sales call required
Yes — required for paid access
Key ambiguities
No published entry price or tiers; commercial model quoted per engagement.
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