Skip to main content
Volume 01 · Section AThesis

The Architect Economy.

Most of what gets funded in 2026 will not exist in 2030. Not because the founders are bad, but because they’re building features chasing a trend instead of architecture that compounds.

We don’t write checks against trends. We write checks against structural beliefs about how the next decade gets built.

§ Four pillars

What we believe about the next decade.

01
Pillar 1 of 4

The Architect Economy

Value accrues to those who build the substrate, not those who decorate it.

The 2020s wrapper era is ending. Most “AI-native” startups are thin UIs over someone else’s model with no proprietary data, no workflow lock-in, and no compounding moat. We back companies building the substrate — proprietary data systems, vertical workflow engines, infrastructure primitives, distribution rails — where every additional customer makes the next one cheaper to acquire and harder to lose.

Example we’d back

A vertical AI company owning the entire claims-adjudication workflow for a specific insurance line, with proprietary data accumulating from every claim processed.

We pass on

A horizontal “AI assistant for insurance” that any well-funded competitor could rebuild in a quarter.

02
Pillar 2 of 4

Vertical depth beats horizontal generality

The horizontal LLM race is over.

The next decade rewards founders who own a specific workflow end-to-end — legal, healthcare revenue cycle, construction, claims, compliance, sales operations, logistics — where domain knowledge, regulatory navigation, and proprietary data create defensibility no foundation model can paper over. Vertical AI funding grew 70% in 2025. The data agrees.

We pass on

Foundation model bets, generic “ChatGPT for [industry],” and consumer AI features.

03
Pillar 3 of 4

Agentic systems, but only with reliability architecture

LLMs that hallucinate are a demo.

Agents that take consequential action — moving money, writing code, executing trades, contacting customers — require evaluation infrastructure, deterministic guardrails, and accountability layers that 95% of current agentic startups don’t have. We back founders building agents as engineering systems, not chat interfaces.

We pass on

Agent demos with no eval framework, no failure mode analysis, no path to production reliability.

04
Pillar 4 of 4

Geography is an architectural input, not a constraint

Structural alpha, not a diversity narrative.

A founder in Lahore with a great team can build for a US enterprise customer at a 5x cost-structure advantage. A founder in San Francisco can recruit a Karachi-based engineering org overnight. We invest along this corridor — US-headquartered, globally-built, with deliberate operating leverage in emerging-market talent hubs.

We pass on

Companies that confuse a remote team with an architectural advantage.

§ What we hold weakly

Things we’d argue with you about, not at you.

  • 01Whether agentic systems become a platform or stay a feature inside larger products
  • 02Whether vertical SaaS founders can credibly compete with horizontal incumbents that ship AI faster
  • 03How much the cost-arbitrage of EM-built engineering survives a tightening of US visa policy
If you disagree, write to us
§ Stage & structure

How a Turing investment works.

Stage
Pre-seed and seed
First check
$100K – $500K
Follow-on
Reserve capacity through Series A
Lead or follow
Both — we lead approximately 30% of rounds
Geography
US-headquartered or US-bound
Structure
SAFE or priced round. Standard terms. No exotic provisions.

Building something architectural?

If you’re not sure where you stand on the four pillars, the Audit takes ten minutes. Free, no email gate, the same lens we apply during diligence.

Pitch usTake the Architecture Audit →