Cralgo
Diligence questions moved from what the model does to what the system absorbs
In investor conversations, the questions being asked about technology businesses shifted from capability description to operating substance.
Evidence · Field Note
In investor conversations, the questions being asked about technology businesses shifted from capability description to operating substance.
Environment
Capital network meetings
Evidence status
Field observation
What was being observed
Technology × Organisations
Context
Meetings and conversations with investors across several markets. No business under diligence is identified.
The context is part of the observation. Environments are described at setting level only.
Observed
Investors described difficulty separating businesses where a model was the product from businesses where a model was a feature, because both presented similarly. The questions they said they had started asking were about which work the system removed from a customer's organisation, and what happened when it was switched off.
One possible reading
One possible reading is that capability claims have become undifferentiating, pushing diligence towards operating evidence. It is also possible that this reflects the particular investors we spoke with rather than a general shift.
A reading is not the observation. This note describes one environment and does not establish what organisations in general do.
Still open
Whether these questions changed which businesses were funded, and whether the stated diligence approach matched actual practice.
Question this sharpens
What evidence does a technology business have that its system removed real work, rather than added a new surface?
Basis
Direct observation in this environment, recorded by the Cralgo team present. Qualitative and unmeasured.
Related
Related reading
Industry
Knowledge · Architecture
We identify emerging patterns and opportunities through research and Signals, and take them into real-world application through technology strategy and leadership, AI and data, digital commerce and consumer platforms, product and engineering, and technology-led growth and transformation.
From emerging patterns to real-world application.
Emerging Patterns → Research & Signals → Collaborate → Technology & Application → Better Outcomes
Where we apply this thinking
Technology Strategy & Leadership · AI & Data · Digital Commerce · Consumer Platforms · Product & Engineering · Technology-led Growth & Transformation
Psychology × Technology × Organisations → Outcomes — the research lens Cralgo explores through.
Explore Signals · Collaborate with Cralgo
Signals · What is a Signal? · Open Signals · Threads · Papers · Reflections · Field Notes · Questions · What we are learning · Research · Technology · Open Explorations · Collaborations · Evidence · About Cralgo · Beyond · Connect
Founding
Cralgo was founded in 2025 by Anil Kabir Kumar. Legal entity: Cralgo Innovations (OPC) Private Limited, incorporated 27 June 2025.
The three lenses
Psychology — how people perceive, decide and behave. Technology — what the system makes possible or constrains. Organisations — what conditions shape action. Outcomes emerge from their interaction.
Research — the questions underneath the work
Collaborative investigation with organisations, universities, practitioners and the people a question affects. Commissioned research is disclosed as such.
Beyond — questions Cralgo carries on its own account
Beyond describes the origin of a question: one Cralgo carries independently, or around a public-purpose context.
- Beyond
- Explore
- Beyond Ecosystem
- AI and public purpose — a provisional context inside Beyond
- Cralgo Now — a public-interest initiative about timing and attention
Working together — the belief behind all of it
Listening before concluding, room for different perspectives, useful disagreement, and evidence that still matters.