hebel. today · 7 November 202630 / 74

Business · Tech Due Diligence

Seed diligence now demands a continuous paper trail

Seed investors have shifted from reviewing pitch decks to auditing operational records, prioritizing companies that document contracts, cost logs, and data source lists weekly. Founders who maintain these artifacts continuously secure funding faster than…

Seed investors have shifted from reviewing pitch decks to auditing operational records, prioritizing companies that document contracts, cost logs, and data source lists weekly (Mohamed F. Ahmed from AI-Native Founder). Founders who maintain these artifacts continuously secure funding faster than those who assemble a data room only when a meeting is scheduled. This shift forces founders to prove ownership of their code and IP, as these records provide the only verifiable evidence of technical health and unit economics. Organizations must now implement provenance checks, safe loading to prevent arbitrary code execution, and sandboxed agent runs to detect malicious tool usage before shipping to production.

  • ProjectDiscovery proved that an open-source model with poisoned weights can successfully pass 50 out of 50 standard benchmarks while executing unauthorized commands (Bhavishya Pandit from WTF In Tech).
  • Ken Huang verified that unquantized model checkpoints allow adversaries to execute arbitrary system commands during deserialization, requiring developers to audit config.json files for auto-mapping directives (Ken Huang from Agentic AI).
  • McKinsey reports that integrating quality and risk management into agile workflows reduces testing and administrative effort, releasing developer capacity for regulated software projects (Let's Talk Risk!).
  • Ivan Burazin notes that agents can find vulnerabilities in 15-year-old software by running thousands of parallel tests, making the patching of legacy dependencies a critical security priority (The Split).

Try today · 15 min

Establish a three-part technical audit log for your target company.

Create a shared document with three headings: Contracts, Cost Logs, and Data Source Lists.

You need

  • Spreadsheet or document template
  • List of current software vendors
  • List of data sources

Steps

  1. Create a document with sections for Contracts, Cost Logs, and Data Source Lists.
  2. Enter the primary contract for the core model provider or cloud infrastructure.
  3. Log the current inference cost per user or per request.
  4. List the sources of training or fine-tuning data.
  5. Schedule a recurring calendar event to update these three records every Friday.
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Sources

  1. Mohamed F. Ahmed, AI-Native Founder ✎ Written by a personExplains how seed investors now require continuous operational records like cost logs and contracts to verify IP ownership and technical viability.

  2. Bhavishya Pandit, WTF In Tech ✎ Written by a personDetails how poisoned open-weight models bypass benchmarks and why behavioral vetting is necessary to prevent unauthorized tool usage.

  3. Ken Huang, Agentic AI ✎ Written by a personProvides a technical guide for auditing Hugging Face model repositories to eliminate arbitrary code execution risks during deserialization.

  4. Let's Talk Risk!Outlines how shifting quality and regulatory controls into agile software development increases capacity for regulated medical device products.

  5. The SplitDiscusses why agentic testing makes patching legacy software vulnerabilities urgent and inevitable for all software-driven organizations.

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