Interactive Demo

See AI due diligence in action.

Click through three phases of the autonomous diligence workflow — from data-room upload to risk flagging to a generated investment memo — all with sample output.

Drop files or click to upload
pitch-deck-q3.pdf 2.4 MB Uploaded
financials-2025.xlsx 1.1 MB Uploaded
cap-table.csv 84 KB Uploaded
customer-contracts.zip 8.7 MB Uploaded

Diligence Agent — Risk Analysis

Scanning 4 documents...
Positive Signal
Revenue growing 42% QoQ — strong organic traction with minimal paid acquisition
Positive Signal
Net revenue retention above 130% — existing customers expanding usage consistently
Positive Signal
Founder has prior exit ($85M acquisition) — repeat founder with operational credibility
Warning
Customer concentration: top 3 clients = 68% of ARR — revenue base is narrow
Warning
Burn rate implies 9-month runway at current spend — will need bridge or pace adjustment
Risk Flag
Pending IP litigation — patent dispute filed Q1 2026 by a competitor in the same vertical
NovaCast
B2B SaaS / DevOps Series A $12M Raise
7/10
Conviction Score

NovaCast is building autonomous deployment infrastructure for DevOps teams, replacing manual CI/CD pipelines with AI-driven release management. Strong product-market fit signals in mid-market SaaS. The founding team combines deep infrastructure experience (ex-HashiCorp, ex-Datadog) with a prior successful exit. Revenue trajectory is compelling, though customer concentration and a pending IP dispute temper conviction.

Key Signals
  • Revenue growing 42% QoQ with 130%+ net retention
  • Founder has prior exit — $85M acquisition by a public company
  • 68 enterprise customers in pipeline, 23 converted in last quarter
  • Product embeds deeply into CI/CD workflow — high switching cost
Risk Flags
  • Top 3 customers represent 68% of ARR — concentration risk
  • Pending IP litigation from competitor — patent dispute filed Q1 2026
  • 9-month runway at current burn — requires pace adjustment or bridge round

This is what your deal flow looks like with Diligent AI.

Autonomous diligence. Conviction-scored memos. Risk flags before the first partner meeting.

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