Decker

Decker is the first Deliverable Operating System purpose-built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. While ChatGPT and Claude give you a draft, Decker gives you the agents that ship the final deliverable, the workflows to direct them like a senior operator, and access to expert support when the work needs another set of eyes. It transforms messy files, notes, transcripts, and templates into high-quality decks, memos, models, reports, analyses, and review tables that are review-ready and boardroom-ready. Beyond just building deliverables, Decker is a complete ecosystem built on four pillars: Build, Learn, Belong, and Earn. You can build review-ready decks, memos, models, and proposals with expert help on demand. You can learn operator-led workflows for producing better work with AI. You can belong to a peer network of consultants, investors, and operators who understand the stakes. And you can monetize your expertise by turning your deliverables into AI training data and earning recurring income through partnerships with model providers. Decker is for the professionals who know that the deliverable is the job, and who refuse to settle for generic AI output.

Intelligent Deliverable Agents

Decker deploys specialized agents that handle the heavy lifting behind high-stakes deliverables. These agents perform research, analysis, narrative construction, financial modeling, and production tasks. Instead of prompting randomly, you direct these agents like a senior operator, ensuring every output is structured for the specific context of an IC memo, a board deck, or a diligence tracker.

Expert Help On Demand

When the work needs a second brain or another set of eyes, Decker connects you with a network of experienced operators from MBB, Big Four, bulge-bracket banks, and middle-market PE firms. This feature ensures that complex or ambiguous deliverables benefit from human expertise, bridging the gap between AI speed and professional judgment.

Operator-Led Workflows

Decker provides pre-built, battle-tested workflows designed by senior operators for the most common high-stakes deliverables. These workflows guide you through structuring a strategy deck, building a DCF model, or drafting a consulting proposal. They transform how you direct AI, making you more effective and consistent in your output.

Monetization Engine

Every deliverable you build or upload can be redacted, labeled, and packaged into AI-ready training data. Through Decker's partnerships with model providers, you can turn one-off client work into recurring income. This feature creates a new revenue stream for your expertise, rewarding the quality of your thinking and execution.

Building IC-Ready Memos from Messy Diligence Notes

A VP at a middle-market PE firm turns scattered diligence notes, transcripts, and financial data into a coherent, narrative-driven IC memo. Decker's agents structure the information, highlight key risks, and produce a document that is ready for the investment committee. The result is a faster, more rigorous process that surfaces the critical insights.

Creating Board-Level Strategy Decks

A strategy consultant at MBB uses Decker to transform raw research, executive interviews, and market data into a polished board deck. The platform's workflows guide the narrative structure, while expert support helps refine the storyline. The final deliverable is an editable PPTX file that communicates complex strategy with clarity and impact.

Producing Financial Models with Scenario Analysis

A finance professional at a bulge-bracket bank leverages Decker to build DCF models, sensitivity analyses, and scenario planning tools. Instead of building models from scratch, they direct Decker's agents to populate templates with data, run calculations, and present outputs in a clear, review-ready format. This cuts model-building time by over 50%.

Monetizing a Library of Past Proposals

A consultant with years of successful proposals uses Decker to redact client-specific information, label the deliverables by industry and problem type, and package them as training data. Through Decker's monetization engine, these past works generate recurring income from model providers, turning a static archive into an active revenue asset.

How is Decker different from ChatGPT or Claude?

ChatGPT and Claude give you a generic draft. Decker gives you specialized agents that ship the final deliverable, operator-led workflows that teach you how to direct AI effectively, and access to expert human support. Decker is built for the work that happens after the prompt, ensuring every output is review-ready and professional.

Who is Decker specifically designed for?

Decker is built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. This includes operators from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, global consultancies, and family offices. If the deliverable is the job, Decker is your operating system.

Can I edit the deliverables Decker produces?

Yes. All deliverables produced by Decker are editable. Decks are exported as PPTX files, memos and proposals as DOCX or PDF, and models as XLSX. You retain full control over the final output, ensuring you can customize, refine, and present the work as your own.

How does the monetization feature work?

When you build or upload a deliverable, you can use Decker's redaction and labeling tools to remove client-specific information and categorize the work by industry, problem type, and quality. These packaged deliverables become AI training data that Decker licenses to model providers. You earn recurring income based on the usage and quality of your contributed data.

Decker is currently in beta with a free tier available. No credit card is required to join. Enterprise co-build and partnership pricing is available by contacting Decker directly for organizations needing custom workflows, dedicated support, or white-label solutions. Specific pricing tiers and plan details are not publicly listed at this time.