From
the field.
Practical perspectives on tech due diligence, AI transformation, and building companies that scale. Written by practitioners - not theorists.
Practical perspectives on tech due diligence, AI transformation, and building companies that scale. Written by practitioners - not theorists.
Most teams have three piles of product knowledge that never talk to each other. The Three Layers of Product Truth, and the governance that lets new facts contradict old ones.
Addy Osmani argues judgment does not leave the factory, it relocates. We agree, and here are the four gates we keep human, plus the honest answer to comprehension debt.
Every transformation rebuilt the same scaffolding by hand, so we are productising it: a client-owned brain, named owners for every piece of knowledge, and agents whose permissions are separate from their instructions.
One agent a week, each co-built with a Champion who owns it. The deliverable at the end of every week, and why week 6 is where most rollouts quietly stop.
Giving every developer Copilot makes individuals faster and the company no faster. A playbook is the precondition for autonomous agents, and it is more specific than teams expect.
A fixed price given before discovery is a guess, and both sides pay for it. What Phase 0 produces, and why agents make discovery more important rather than less.
74% of the codebases we analyse carry high-risk vulnerabilities nobody flagged before we ran TechSignal. Here is the five-pillar scoring methodology, what automated intelligence finds that manual review misses, and how Ask the AI CTO changes the DD interview.
Most investors ask 'is this company using AI?' The better question is 'does AI compound here?' Six evaluation dimensions, five disqualifying questions, and the SaaS-to-AaaS shift every angel investor needs to understand.
Most teams stop at RAG and call it done. RAG gives you search, not understanding. The complete maturity ladder - from a 20-line instruction file to an autonomous knowledge graph that improves while you sleep.
After 90+ Tech Due Diligences, the startups that become genuinely hard to compete with share exactly three properties: Domain Expertise, Clarity, and AI-Native Velocity. Miss one and the other two don't save you.
Everyone can build now. That is the problem. Here is the full methodology we use at our AI Product Studio - from idea validation to Level 4 agentic operations - to launch products that actually survive reality.
A new standard for evaluating software companies in the AI era. Built from 90+ engagements - the top-down, continuous, AI-assisted methodology that creates real value for investors and startups alike.
AI-operated development raises a legitimate question: who is responsible for quality when agents write the code? Here is exactly what we do - the guardrails, the testing discipline, the observability layer, and where human judgment is non-negotiable.
From sceptics who dismiss AI entirely to founders building organisations that run on AI agents: the framework we use to assess AI maturity in every DD, and what it means for your competitive position in 2026.
25 years in tech. Last month, one of our senior engineers shipped an entire product solo, part-time - with AI agents doing work that used to take a team of 4-5. Here’s what we’re seeing on the ground.
After 90+ tech DD engagements, we see the same mistakes repeated. Here’s what actually matters post-acquisition.
Your architecture decisions from year one start to hurt at Series B. How to fix them without stopping the machine.