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Vision
   
Become the intelligence layer that makes every rail journey better — for passengers and operators — by fixing what breaks trust, proving what drives revenue, and building what no one else can.
   
H1 2026
 
   
   
     
Methods
     
       
Fix the experience before we scale it — dead ends, confusion, and drop-off are revenue problems not just UX problems
       
Ship dynamic pricing mechanics in controlled rollout — protect the existing revenue base while proving the new model
       
Build intelligence that earns daily use — not a demo, a decision engine operators open instead of a spreadsheet
       
Honour commercial commitments first — XC, TMC, TPE are not optional. Everything else sequences around them
     
   
       
     
Measures
     
       
         
         
           
Growth
           
+10% onboarding-to-search conversion. Dead end exit rate below 10%. Dummy auction onboarding live and measurable.
         
       
       
         
         
           
Enterprise
           
Dynamic Milestones yield delta readable by end Q1. Intelligence V0 in hands of operator week 2 April. Trip Model 50%+ scope landed.
         
       
     
   
 
   
       
     
Growth · Initiatives · Q1
     
       
01
Redesign the first 60 seconds
25% drop before registration complete. 35% never search. Nine learning goals pointed at home screen overwhelm and value that never landed. New home screen ships, dummy auction onboarding follows.
+10% onboarding-to-search
       
02
Fix Secret Fare dead ends
Users hitting no-availability screens and leaving. Anywhere search, station broadening, and advance ticket fallback give us somewhere to go when we can't give them what they searched for.
Dead end exit rate measurably reduced
     
         
       
     
Enterprise · Initiatives · Q1
     
       
01
Dynamic pricing — live, limited, measured
Instant Wins shipped January. Milestones shipped February in limited rollout — real-time decision engine touching our most profitable mechanic. First check-in results land Monday. Dynamic Reserves model in build with analytics.
Yield delta vs control — readable Monday
       
02
Intelligence V1 — from prototype to engineerable
AI-native prototype handed to eng. Scoped hard to V1 — Dashboard, Ask LLM, Routes & Capacity. Rail Intelligence Graph (Brain) is the explainability layer underneath. V0 drops week 2 April.
V0 in operator hands — wk2 April
       
03
Trip Model — 50% scope landed
Smarter Inventory and Accurate Loads shipped. Per Journey Inventory Check carries into Q2. Foundation work that powers everything else.
50% Q1 scope delivered
     
         
 
 
   
What we're building. And when it lands.
   
Run this against the team. The roadmap is for the board.
 
 
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Growth
   
                   
   
 
   
   
Enterprise