Upcoming Modules and Roadmap

Show Notes:

Raman Julka is the founder and CEO of ValueChaser AI Labs and a former McKinsey Partner, where he served clients on operations, procurement, and digital topics and was a leader in McKinsey's procurement analytics practice. ValueChaser.ai is an AI-powered strategy and diagnostic platform that transforms raw business data into consulting-grade insights in under 10 minutes — work that typically takes analysts and consultants 1–3 weeks.

Unlike generic AI tools, ValueChaser produces structured, benchmarked, auditable outputs: full diagnostic reports with health scoring, value levers, implementation steps, and action plans. It does not produce summaries or chat responses. It produces deliverables (pdf reports, excel models and csv files) your team can review, present, and act on.

ValueChaser.ai Homepage

ValueChaser.ai Demonstration

In this episode, Raman gives Will a live demonstration of two products:

• Company Diagnostics — upload a 10-K, annual report, or financial statements and receive a full business diagnostic with peer benchmarks, health scoring across functions, a value creation roadmap, and a detailed Excel model. Powered by a curated library of thousands of functional levers across industries and sub-industries.

• Procurement Insights — upload transactional AP or spend data and receive category savings analysis, supplier intelligence, negotiation playbooks, and a prioritized action plan mapped to industry-specific procurement taxonomies. Includes a full categorized CSV of every transaction with confidence levels. Tested on datasets up to 1 million rows across 45 sub-industries.

Value Chaser vs ChatGPT

Raman explains how ValueChaser differs from simply prompting ChatGPT: deterministic and auditable outputs (not probabilistic), multi-model orchestration (Gemini for large data, Claude for narrative and reporting, Perplexity for market research), and enterprise-grade data security.

Pricing and Subscription

The platform is priced at $900 per report with subscription and white-label options available. It publicly launches on April 8, 2026. Subscribers get their own space, access to historical reports, and the option to white-label the platform. The tool is currently in private beta, with a few consulting companies, private equity funds, and independent advisors piloting it. Raman highlights ongoing developments, such as a module for sim and data room analytics for PE. The platform is also building a proposal development and client intelligence module for consulting engagements. The tool is designed to evolve based on client feedback and real-world testing. Interested listeners can reach out to Will directly for an exclusive discount on their first report.

Products covered: Company Diagnostics, Procurement Categorization, Procurement Insights. Coming soon: CIM & Data Room Analytics for PE, Proposal Development & Client Intelligence.

Source of Data

ValueChaser.ai relies on uploaded data rather than searching the web. Raman explains that the tool uses three sources of information: uploaded data, information shared by the user, and curated knowledge from experts. The platform includes standard functional levers and taxonomies for different industries and sub-industries. Raman highlights the importance of curated knowledge in providing comprehensive outputs. The tool's hypothesis is that analytics expertise can be drawn from models with proper calibration and control.

Example of a Diagnostic Report

Raman shows the diagnostic report for a healthcare company, which includes an executive summary, financial performance, and areas of opportunity. The report highlights financials, extended financials, and specific levers for the business, with detailed calculations and implementation steps.The health score tracks the business across functions, using benchmarks built from publicly available sources. The market intelligence section provides an overview of the company's market position and growth drivers.

Example of a Procurement Insights Report

Raman demonstrates the procurement insights report for a software company with transactional spend data. The platform categorizes spend to industry-specific taxonomies and maps against intelligence playbooks to provide levers and actions. The report includes a high-level spend overview, maturity score, quick wins, and detailed recommendations. The tool provides a detailed CSV file listing transactions with categorization and confidence levels.

Timestamps:

02:03: Homepage and Product Overview

03:03: Data Upload and Validation

05:59: Multi-Source Information and Knowledge Base

08:48: Company Diagnostics Report

20:11: Procurement Insights Report

26:44: Comparison with ChatGPT

27:04: Pricing and Customer Set

29:09: Future Developments and Use Cases

Links:

Raman's LinkedIn: https://www.linkedin.com/in/ramanjulka

Website: www.valuechaser.ai

Company LinkedIn: https://www.linkedin.com/company/valuechaser-ai-labs-inc/about

Example reports — Downloadable reports based on examples for all products:

https://eu.valuechaser.ai/case-examples

This episode on Umbrex: https://umbrex.com/unleashed/episode-640-the-ai-platform-turning-raw-business-data-into-consulting-grade-insights-in-under-10-minutes/

Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com.

*AI generated timestamps and show notes.