ML Clever
AI Work Suite for presentations, dashboards, and AutoML
What is ML Clever? Complete Overview
ML Clever is an AI-native work suite designed to automate and streamline the creation of board-ready presentations, interactive dashboards, consulting playbooks, and production machine learning workflows. It enables users to generate, refine, and adapt deliverables in seconds through natural language prompts and follow-up questions. The platform is ideal for professionals and teams in consulting, finance, marketing, and SaaS industries who need to produce high-quality, data-driven outputs efficiently. By integrating presentations, dashboards, and AutoML into one secure workspace, ML Clever eliminates the need for switching between tools and ensures consistency across deliverables.
ML Clever Interface & Screenshots
ML Clever Official screenshot of the tool interface
What Can ML Clever Do? Key Features
Prompt-to-Deck Generator
Transform natural-language briefs or research into fully structured presentations with storyline, speaker notes, and branded visuals automatically. The AI adapts to follow-up requests, such as adding slides or refining content, while maintaining brand consistency. Outputs can be exported to PowerPoint, PDF, or Google Slides.
Data-to-Dashboard Pipeline
Upload spreadsheets, CRM exports, or warehouse tables to instantly generate interactive dashboards with KPIs, trend narratives, and executive summaries. The AI detects anomalies and explains metric swings, providing actionable insights. Dashboards can be embedded into presentations or refreshed live.
Insight-to-Strategy AI
Describe a business challenge and explore multiple insight cards to develop competitive or financial strategies. The AI generates consulting playbooks, memos, and action plans that can be exported directly into decks or shared with stakeholders.
No-Code AutoML Launchpad
Point to your dataset, select performance goals, and let AutoML test algorithms, tune hyperparameters, and return explainable leaderboards. The platform highlights top features and recommends deployment actions, integrating results into dashboards and presentations.
Client Project Portals
Organize briefs, data, deliverables, and access controls within Projects. Clients and teammates collaborate in a shared workspace with version history, comment tracking, and secure access roles (edit, comment, or view-only).
Best ML Clever Use Cases & Applications
Consulting Firm Accelerating Client Delivery
A consulting firm uses ML Clever to automate research, generate elite deliverables, and respond to client feedback in real time. The AI assembles pitch decks, strategy memos, and performance dashboards, reducing manual work by 40+ hours per project.
Finance Team Automating Close-to-Presentation Workflows
A finance team uploads quarterly revenue data and prompts ML Clever to create CFO dashboards and board packets. The AI explains variances, forecasts scenarios, and syncs updates automatically, saving 20+ hours per report.
Marketing Team Streamlining Campaign Reporting
A marketing team drops campaign data into ML Clever and requests executive narratives. The AI generates talking points, anomaly explanations, and live dashboards, cutting weekly reporting time from 10 hours to 30 minutes.
How to Use ML Clever: Step-by-Step Guide
Create a Project: Start by setting up a new Project workspace. Paste a prompt, meeting transcript, or upload data files to define the scope of your deliverable.
Generate Drafts: ML Clever automatically maps inputs into key themes and produces draft presentations, dashboards, or memos. Review and approve the structure before finalizing.
Refine with Follow-ups: Ask follow-up questions or request revisions (e.g., 'Add a slide on churn risk' or 'Explain metric anomalies'). The AI updates specific components while logging changes.
Collaborate & Share: Invite stakeholders to review deliverables in the Project workspace. Assign roles (edit, comment, or view-only) and track feedback in the conversation thread.
Export & Deploy: Export finalized assets to PowerPoint, PDF, or Google Slides. For AutoML workflows, deploy models directly or integrate results into dashboards and reports.
ML Clever Pros and Cons: Honest Review
Pros
Considerations
Is ML Clever Worth It? FAQ & Reviews
Paste the prompt or transcript into a new Project. ML Clever maps the content into themes, suggests deliverables, and lets you confirm direction before generating drafts.
Yes. The Project workspace spins up drafts in parallel, allowing you to review and approve multiple assets from the same conversation thread.
Keep reviews in the Project conversation thread. Each prompt becomes a tracked revision, preserving context on what changed and why.
Yes. ML Clever offers encryption, SSO, audit logs, and optional private cloud deployments for regulated teams.
Workspace analytics track time saved, deliverable adoption, and refresh cadence, providing quantifiable ROI metrics for leadership.