Venture Capital Runs on Delayed Information
By the time a VC partner learns about a portfolio problem, the window to intervene has often closed.
Traditional VC Workflow
Reactive, delayed, manual
Consequences
DeepLogic Workflow
Predictive, real-time, AI-powered
Outcomes
From Raw Data to Investment Intelligence
Three steps. Continuous intelligence. Zero manual effort.
Connect
DeepLogic connects directly to your portfolio companies' operating systems — no CSV uploads, no manual entry.
Analyze
Proprietary AI models process operating data continuously, scoring health and detecting patterns invisible to human analysis.
Act
Receive prioritized, actionable intelligence that tells you where to focus — and why — before it becomes critical.
A Complete Intelligence Stack for Venture Capital
Five integrated modules. One unified intelligence layer.
DeepLogic Pulse™
Real-time startup health monitoring across every dimension of company performance.
Portfolio Copilot™
Ask any question about your portfolio. Get answers grounded in real operating data, not founder narratives.
Benchmark Intelligence™
Compare every portfolio company against 50,000+ global startups across 200+ operating metrics.
Bridge Risk
NovaMesh — 4.2 months
Prediction Engine™
Predict runway risk, churn signals, and growth inflections before they appear in reports.
Founder Intelligence Graph™
DeepLogic maps behavioral patterns, communication velocity, and decision consistency across founders — correlating them with startup outcomes. The more data enters the network, the more predictive the intelligence becomes.
94%
Pattern accuracy
180d
Avg lead time
50K+
Founder signals
3.2×
Better outcomes
Ask Anything About Your Portfolio
Natural language queries. Real operating data. Answers that move capital.
Select a question to explore
Based on real-time runway analysis and burn rate velocity, NovaMesh Inc. (Series A, 18 months post-raise) shows the highest bridge risk. Current runway: 4.2 months. Monthly burn has increased 34% over 60 days while MRR growth has decelerated to 2.1% MoM. Recommend proactive bridge conversation within 30 days.
$10B+
VC Software Opportunity
Total addressable market
47,000+
Active VC Firms
Global target market
$1T+
Private Capital
Under management globally
The Story Behind DeepLogic
Built at the intersection of artificial intelligence, data systems, and venture capital.
About the Project
DeepLogic is being developed as part of Project Startup under the RVEI Incubation Program and the DeepTech Innovation Challenge.
The project aims to address a critical gap in venture capital by transforming fragmented startup operating data into real-time, predictive investment intelligence. By leveraging advanced data engineering, artificial intelligence, and predictive analytics, DeepLogic seeks to help investors move beyond traditional reporting and towards proactive, data-driven decision-making.
The long-term vision is to build the operating intelligence layer for venture capital and become the benchmark platform for understanding, monitoring, and predicting startup performance.
About the Founder
Rishab Shukla is a 4th Semester Information Science and Engineering (ISE) student at RV Institute of Technology & Management (RVITM), JP Nagar, Bengaluru.
Passionate about technology, entrepreneurship, and innovation, he is actively exploring the intersection of artificial intelligence, data systems, and venture capital. Through DeepLogic, Rishab aims to build a scalable deep-tech solution that empowers investors with real-time operational intelligence and contributes to the evolution of data-driven decision-making in the startup ecosystem.
Rishab Shukla
Founder, DeepLogic
4th Sem ISE · RVITM, Bengaluru