Start a conversation

Ventures

Ventures & patterns

How we transfer models, reported as signal and focus, not fabricated revenue claims.

Transfer atlas A route map showing a proven internet model decoded, adapted, and moved into an underserved market. SOURCE MODEL DECODE ADAPT GAP MARKET

Proof rail

Evidence before scale.

Each venture follows the same pattern: problem, insight, transfer, execution, result.

Live venture · Healthcare EdTech · International

Learning access where clinical education infrastructure is thin

Venture scan

Status
Live
Market
Healthcare EdTech
Focus
Activation & completion
Signal
Repeat path use

Problem

Learners and educators lack fast, reliable access to structured knowledge in contexts where legacy systems are slow or fragmented.

Insight

Proven "knowledge library + progress" models from mature EdTech markets, adapted for healthcare education constraints.

Transfer

Product shape emphasizing completion and activation over feature sprawl; localization and trust cues for clinical audiences.

Show execution and results

Execution

Shipped core learning paths first; instrumented activation and completion; iterative content and UX based on cohort behavior, not roadmap guessing.

Result

  • Early signal: Repeat engagement on core paths (north-star defined before build).
  • Iteration focus: Activation and completion rates.
  • Next scale lever: Expand content depth only where completion holds.

MedLibrary (opens in new tab)

In development · eCommerce martech · GCC & Eastern Europe

Operator-grade attribution where tooling is fragmented

Venture scan

Status
In development
Market
GCC & Eastern Europe
Focus
CAC payback clarity
Signal
Stable attribution

Problem

eCommerce operators outgrow spreadsheets and patchwork pixels; ad spend rises faster than clarity.

Insight

Mature martech stacks in developed markets: automation, attribution, and experiment cadence, compressed for regional operators.

Transfer

Funnel instrumentation first; automation second; positioning around payback clarity, not feature checklists.

Show execution and results

Execution

Minimum viable tracking and cohort views before scale spend; offer and creative tests tied to channel-level payback hypotheses.

Result

  • Early signal: Stable attribution on paid tests (defined thresholds pre-launch).
  • Iteration focus: CAC payback visibility per cohort.
  • Next scale lever: Channel expansion only where payback holds.

Building in our lanes, or adjacent?

If your market and model fit transfer discipline, start with Validate, not a pitch.

Send for evaluation