Decker

Decker is an AI-powered deliverable operating system, purpose-built for the high-stakes world of mid-to-senior professionals in private equity, consulting, and financial services. It is the first platform of its kind designed to transform the chaotic raw materials of knowledge work—messy files, scattered notes, recorded transcripts, and outdated templates—into polished, review-ready deliverables like decks, memos, models, reports, and diligence trackers. But Decker is far more than a document generator. It is a complete ecosystem built on four core pillars: Build, Learn, Belong, and Earn. For the Build pillar, Decker provides specialized AI agents that handle the heavy analytical and production lift behind complex deliverables, going far beyond the simple drafts offered by generalist chatbots like ChatGPT or Claude. It offers structured, operator-led workflows that teach users how to direct AI with the precision of a senior consultant, and provides access to a network of expert peers for review. The platform’s most innovative dimension is the Earn pillar, which allows users to monetize their expertise. Every deliverable created or uploaded can be redacted, labeled, and packaged into AI training data, turning one-off client work into a recurring income stream through partnerships with model providers. Decker is built for the work that happens after the prompt, empowering professionals to ship sharper deliverables, sharpen themselves, and belong to a community of elite operators.

Deliverable-Focused AI Agents

Decker deploys specialized AI agents that are not general-purpose chatbots but are trained on the specific logic and structure of high-stakes business deliverables. These agents handle the heavy lifting behind research synthesis, financial analysis, narrative construction, and production formatting. They can ingest messy diligence notes and output an IC-ready narrative, or take a list of bullet points and build a full strategy deck with executive flow. The agents are designed to be directed by senior operators, not to replace them, ensuring the output meets the rigorous standards of private equity and consulting.

Operator-Led Workflows

This feature is the core differentiator of Decker. Instead of prompting randomly, users access a library of pre-built, expert-designed workflows that guide the AI through a structured, multi-step process. These workflows teach users how to think like a senior operator when using AI, covering everything from structuring an investment committee memo to building a sensitivity model. This transforms the user from a passive prompter into an active director of AI, dramatically improving the quality and consistency of the final deliverable while codifying best practices.

Monetization Engine

Decker is the first platform to turn deliverables into a recurring revenue stream. Every document you create or upload—whether a deck, memo, model, or proposal—can be processed through a secure pipeline for redaction and labeling. Once anonymized and structured, these deliverables become high-quality training data for AI models. Decker has established partnerships with model providers who pay for this data, allowing users to monetize their accumulated expertise and past work, transforming a one-time fee into a continuous income source.

Peer Review and Operator Network

Decker provides access to a curated network of fellow consultants, investors, and operators from top-tier firms like MBB, Big Four, bulge-bracket banks, and middle-market PE. This feature allows users to request peer reviews on critical deliverables, get a second set of expert eyes on their work, and learn from the best in the industry. It is a built-in quality assurance mechanism and a community for belonging, ensuring that the work shipped is not just fast, but also battle-tested by peers who understand the stakes.

Building an Investment Committee Memo

A private equity analyst has just finished a week of management meetings and site visits, accumulating a folder of messy notes, financial statements, and interview transcripts. Instead of spending days synthesizing this into a narrative, they feed the raw files into Decker. Using a specialized IC Memo workflow, the AI agents structure the data, build a diligence tracker, identify key risks, and draft a narrative that flows from investment thesis to return analysis. The analyst then uses the operator network to get a peer review before presenting to the investment committee.

Crafting a High-Stakes Consulting Proposal

A strategy consultant needs to build a complex Statement of Work (SOW) and pricing proposal for a Fortune 500 client. They use Decker's Proposal workflow, which guides them through defining scope, building a work plan, and aligning pricing with value. The AI agents generate a professional, narrative-driven deck that clearly articulates the problem, solution, and expected outcomes. The consultant can then export the final output as an editable PPTX, ready for final client customization and signature.

Financial Modeling and Scenario Analysis

A finance professional at a growth equity firm needs to build a DCF model with multiple sensitivity scenarios for a portfolio company. They use Decker's Model workflow, which helps them structure the assumptions, build the financial logic, and visualize the output. The AI agents can handle the heavy calculation work while the user focuses on the strategic assumptions. The final model is a clean, auditable, and presentation-ready deliverable that can be shared with the investment team.

Monetizing Past Project Work

A seasoned consultant has a hard drive full of past strategy decks, market analyses, and project playbooks. They upload these files to Decker's monetization engine. The platform automatically redacts client names and sensitive data, labels the content by type and quality, and packages it into a format suitable for AI training. Through Decker's partnerships, the consultant begins to receive recurring payments every time their anonymized work is used to train a new generation of AI models, creating a passive income stream from their accumulated expertise.

How is Decker different from using ChatGPT or Claude?

ChatGPT and Claude are general-purpose language models that provide a single draft based on a prompt. Decker is a complete operating system built specifically for professional deliverables. It uses specialized AI agents that understand the structure of IC memos, strategy decks, and financial models. More importantly, Decker provides operator-led workflows that teach you how to direct the AI like a senior consultant, and it offers a peer network for review. It is built for the work that happens after the prompt, turning a draft into a shippable, review-ready asset.

Who is Decker designed for?

Decker is built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. This includes analysts, associates, VPs, and partners at firms like MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, and Fortune 500 companies. It is for anyone whose job is defined by the quality and speed of their deliverables—decks, memos, models, and proposals. It is not designed for casual users or those looking for simple content generation.

How does the monetization feature work?

The monetization feature allows you to turn your deliverables into a recurring income stream. You can upload or create any deliverable within Decker. The platform then provides a secure pipeline to redact all confidential client information and label the content by type, industry, and complexity. Once anonymized, your work is packaged into high-quality training datasets. Decker has established partnerships with AI model providers who pay for this data. You receive a recurring payment based on the volume and quality of the data you contribute.

What types of deliverables can I build in Decker?

Decker is designed to handle the full spectrum of professional deliverables. This includes board and strategy decks, investment committee memos, diligence trackers, DCF and sensitivity models, consulting proposals and SOWs, executive briefs, research reports, and portfolio reviews. All outputs are production-ready and can be exported in standard formats like PPTX, ensuring compatibility with your existing workflow and client expectations. The platform is constantly adding new workflows for different types of high-stakes work.