Our story
We build PlanRight for the teams who spend their weeks reconciling board decks, company updates, Excel files, emails, and shared folders that were never designed to work together. We believe that work should be sourced, auditable, and fast. PlanRight reads the material your team already has, extracts the facts into a knowledge graph, and answers with citations — so monitoring, reporting, and diligence stop being a manual scavenger hunt.
PlanRight is the name and the promise: plans, reports, and decisions made right, because they’re grounded in what your company actually knows — every answer traced to its source, every number carrying its citation. One platform, one price, for every team that has to get it right.
Our Mission
Our mission is to give every company a faster, more trustworthy way to work with its own information. The work around the work — monitoring, reporting, research, operating reviews — still comes down to manually reconciling documents, spreadsheets, and narrative updates. PlanRight removes that friction without asking anyone to trust a black box: every answer is traceable to its source.
PlanRight is provider-agnostic — it runs on Claude, GPT, Gemini, Azure OpenAI, and local or open-source models — with rigorous cost tracking, token budgets, and rate limiting so you stay in control of both capability and spend.
From a persistent knowledge graph and semantic memory to deterministic finance calculations, sourced answers, and generated reports and briefs, every capability is built for the realities of a working company — auditable, governed, and grounded in your source material.
Our Team
The team building PlanRight, united by a belief that the work around the deal should be sourced, auditable, and fast — not a manual scavenger hunt.
Chris Dupuy
CEO & Co-Founder
A seasoned enterprise technology leader with deep expertise in AI strategy and organizational transformation at scale.
Shane Fuentes
CTO & Co-Founder
Distributed systems architect specializing in multi-agent orchestration, real-time data pipelines, and LLM infrastructure design.