What does the due-diligence module cover?

Vendor due diligence (before contracting), customer due diligence (for KYC), acquisition target due diligence (for M&A), and periodic reassessment of existing counterparties. Combines automated scoring with manual questionnaires.

What data does automated scoring use?

Public records (MCA filings, GST filings, Udyam registration, licensing databases, court cases), security posture indicators (public IP scans, SSL/TLS grade, published breaches), and financial-stability signals (audited financials where available). Manual questionnaires cover items automation can't.

How does DPDP due diligence work?

For every vendor processing personal data on your behalf: DPA signed, sub-processor list disclosed, security measures documented, breach-notification SLA agreed, cross-border flow described, audit rights preserved. dcomply's workflow captures each check.

How does dcomply handle high-risk vendors?

A composite risk score triggers escalation: low-risk → auto-approve, medium-risk → DPO review, high-risk → DPO + Legal review with additional questionnaire. Every override of the automated recommendation is captured with justification for audit.

Due Diligence

AI-Driven Startup Due Diligence

Replace 4-8 weeks of manual due diligence with 6 AI engines running simultaneously. Legal, financial, IP, regulatory, ESG, and data privacy analysis, delivering investor-grade reports in minutes, not months.

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The Problem

Traditional Due Diligence Is Expensive and Slow

Manual DD misses the data privacy dimension that now carries ₹250 Crore in regulatory risk

4-8 Weeks Timeline

Traditional due diligence takes 4-8 weeks of manual document review, interviews, and analysis, delaying deals and frustrating investors who need answers fast

Costs ₹5-10 Lakh

Hiring consultants for legal, financial, and technical DD costs ₹5-10 lakh per assessment. For early-stage startups evaluating multiple targets, this is prohibitively expensive

Missing Privacy Dimension

Most DD frameworks don't assess DPDP Act compliance, consent mechanisms, DSR readiness, PII handling, breach processes. This blind spot can hide ₹250 Crore in regulatory liability

Capabilities

6 AI Engines, One Comprehensive Assessment

6 AI Analysis Engines

Six specialized engines run simultaneously: Legal (corporate structure, litigation, contracts), Financial (revenue, burn rate, runway), IP & Technology (patents, tech stack), Regulatory (licenses, sector compliance), ESG (governance practices), and Data Privacy (DPDP compliance, consent, breach history).

Investor Readiness Scoring

Each engine produces a 0-100 score. The composite Investor Readiness Score gives investors a single number to evaluate, with drill-down capability into each dimension for detailed findings.

AI Executive Summary

Claude AI generates a boardroom-ready executive summary that highlights key findings, investment thesis support, risk mitigation recommendations, and deal-breaker flags, written in investor language, not legal jargon.

Red Flags & Strengths Detection

The AI automatically identifies deal-breaker red flags (unresolved litigation, regulatory violations, data breach history) and investment strengths (strong IP portfolio, clean compliance record, robust data governance).

PDF Report for Investors

Download a professionally formatted PDF report with all 6 dimension scores, detailed findings, executive summary, and remediation roadmap. Share directly with investors, board members, or internal stakeholders.

Funding Stage Tracking

Track DD assessments across funding stages. Seed, Series A, B, C. Compare how compliance and readiness scores evolve over time, demonstrating measurable improvement to investors.

How It Works

Investor-Grade DD in 4 Steps

Enter company details, let 6 AI engines work simultaneously, and download a professional investor report.

Enter company details

Provide company name, sector, funding stage, and key business information. Upload available documents, financials, contracts, corporate filings, for deeper analysis.

6 AI engines run simultaneously

Legal, Financial, IP/Technology, Regulatory, ESG, and Data Privacy engines analyze all available data in parallel, delivering results in minutes instead of weeks.

Review scores and findings

Examine the composite Investor Readiness Score, dimension breakdowns, red flags, strengths, and the AI-generated executive summary. Drill into any finding for details.

Download investor-ready PDF

Generate a professionally formatted PDF report with all scores, findings, and recommendations. Share with investors, board members, or use internally for remediation planning.

FAQ

Frequently Asked Questions

dcomply runs six specialized AI engines simultaneously: Legal (corporate structure, litigation, contracts), Financial (revenue analysis, burn rate, runway), IP & Technology (patents, trade secrets, tech stack risks), Regulatory (sector-specific compliance, licenses, DPDP Act), ESG (environmental, social, governance practices), and Data Privacy (personal data handling, consent mechanisms, breach history). Each engine generates independent scores that feed into an overall investor readiness rating.

Traditional due diligence takes 4-8 weeks and costs ₹5-10 lakh in consultant fees. dcomply's AI engines run simultaneously and deliver a comprehensive assessment in minutes, not weeks. The AI-generated report includes scores across all 6 dimensions, red flags, strengths, and an investor-ready executive summary, all downloadable as a PDF.

With DPDP Act 2023 penalties reaching ₹250 Crore, data privacy compliance has become a material investment risk. Investors need to know if a startup collects consent properly, handles DSR requests, has breach notification processes, and maintains data processing agreements with vendors. dcomply's Data Privacy engine evaluates all of this, ensuring investors have a complete risk picture.

Run Investor-Grade DD in Minutes

6 AI engines, one comprehensive assessment, investor-ready PDF reports

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