Platform

The Large Consulting Model

FifthRow's Large Consulting Model is a consistent, repeatable, fact-checked way to run consulting work. It encodes consulting methodologies into verifiable, compounding intelligence engines.

FifthRow platform dashboard preview

Inside FifthRow

01 – Concierge

Concierge

Concierge is a chat agent in FifthRow that answers questions from your company's research, with sources. If the research is not there yet, it uses a process from the catalog, or builds one custom on the fly. It is there so you can get value from what you and your team already created, or start new research from the question you just asked.

Concierge answering from shared facts and apps
02 – Answers

Answers

Answers is a research agent in FifthRow that breaks down your question, queries multiple search engines, and strips out made-up citations. On questions with timeframes in a narrow field, citation hallucination can be up to 50% without it. It is there so new research comes back with real sources, or so those questions do not invent citations.

Answers research with sources in FifthRow
03 – Fact checking

Fact checking

Fact checking is how FifthRow turns sources into a facts store. It reads a source from every side that matters, breaks it into reusable facts, and keeps that as institutional knowledge in your workspace. It is there so the next run uses what was already extracted, or so a new source is broken down once instead of reread every time.

Fact checking breaking sources into reusable facts
04 – Quality control

Quality control

Quality control is a judge agent in FifthRow that reads every output. It checks your quality bar, whether something was left out on purpose, where each source came from, and whether a claim is assumed or triangulated. It is there so you see what is solid and what is not, before anyone sends it.

Quality control judge checking an output
05 – Apps

Apps

An App is a multi-agent team in FifthRow that repeats the same consulting job, with the same inputs and a structured output. The judge checks every step, and the run reuses facts and answers from your domain. It is there so that job can run again on your institutional knowledge, instead of a blank brief.

FifthRow App running a consulting job
06 – Docs

Docs

Docs is an iterative writing surface in FifthRow. You pull work from Concierge and elsewhere into one report, then package it for somewhere else. It is there so research becomes a document you can send, or so a new run can be shaped without starting the write-up from zero.

Docs pulling research into a report

Shared enterprise intelligence

The system gets smarter with every App, fact, and result

Start with an App from the catalog, encode how your team works, or ask Concierge to build one. FifthRow runs it with sourced research and quality control, then keeps the facts, answers, and finished work for everyone else to use. Each run builds on the work before it, creating enterprise intelligence that compounds across people, projects, and time.

Encoded App running a consulting process in FifthRow

In your tools

The same intelligence, in your stack. Your data stays yours

Apps, facts, and answers are available in Copilot, Teams, ChatGPT, and Claude, and over MCP and the API. FifthRow is SOC 2 and GDPR compliant. We do not train on, resell, or package your data.

  • SOC 2
  • GDPR
  • Copilot
  • Teams
  • ChatGPT
  • Claude
  • MCP
  • API
    API

Let's enable your team with the Large Consulting Model

Let's call (opens in a new tab)