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SRNASmart Ride Navigator App
Product in development Public pre-seed thesis · July 2026
01 Investment thesis Current
SRNA Smart Ride Navigator App

Know more before the next turn.

SRNA is building a safety-aware navigation layer that helps cyclists and e-bike riders understand route context before attention is under pressure.

Start with one high-frequency rider problem. Prove usefulness in one disciplined city pilot. Expand through devices, data quality and mobility partners.

Cyclists & e-bikes firstLow-distraction guidanceEvidence-led expansion
02 The problem External evidence

A fast route can still leave a rider unprepared.

Arrival time and distance do not explain every demanding intersection, road segment or shift in riding context — and late information competes with the attention needed to ride.

10%

of EU road deaths in 2023 were cyclists

European Commission road-user breakdown

~70%

of urban road fatalities were vulnerable road users

Pedestrians, cyclists, powered two-wheelers and personal mobility devices

01

Context is fragmented

Road type, crossings, surface, traffic conditions and rider preferences may live in separate sources.

02

Timing changes value

A useful signal delivered too late can become noise at the moment attention matters most.

03

Trust is unresolved

Riders need to understand why a route is suggested and where the data is incomplete.

03 Product insight In validation

The missing layer is context — not another map.

SRNA’s core hypothesis is that riders will value a route decision when it explains more than where to go and how long it takes.

Most route choices foreground

Destination, ETA and distance

  • Where the route goes
  • How long it may take
  • How far the ride is
SRNA is designed to add

Demand, context and reason

  • What demanding segments may lie ahead
  • How preferences change the route
  • Why one option is recommended

The first prototype must prove that this additional context improves route confidence without increasing distraction.

04 Product direction Planned

SRNA turns available signals into timely, low-distraction guidance.

The planned system connects route data, local context, rider preferences and compatible-device signals through one explainable decision loop.

01 · Understand

Build the route picture

Combine only available, permitted and sufficiently fresh signals.

02 · Anticipate

Identify demanding context

Recognize segments that deserve earlier preparation — not predict an accident.

03 · Guide

Deliver the smallest useful cue

Use a glance, sound or compatible surface at the moment it can help.

04 · Learn

Improve with consent

Use optional feedback to calibrate usefulness, timing and local coverage.

Architecture direction — not a claim that every data source, model or device integration is already operational.

05 The experience Planned

One ride demonstrates the complete product thesis.

A coherent journey matters more than a long feature list.

  1. 01Before

    Set priorities

    Balance time, comfort and route-context preferences.

    Core direction
  2. 02Choose

    Compare with reasons

    See why the context route differs from the fastest route.

    Core direction
  3. 03Ride

    Receive a calm cue

    Get a short signal before a demanding segment, not during it.

    Planned capability
  4. 04Connect

    Move beyond the phone

    Use a compatible watch, audio device, display or radar when validated.

    Planned integration
  5. 05After

    Review by choice

    Explore optional ride insights without hidden partner sharing.

    Research direction

Prototype job: validate one complete route-choice-to-guidance loop before expanding the capability set.

06 Focused entry point Hypothesis

Cyclists and e-bike riders are the focused entry point.

The initial product should solve a frequent urban route decision for a narrow cohort before it attempts to serve every mode, city and partner.

Initial user hypothesis

The repeat urban rider

A cyclist or e-bike rider who knows the destination but still evaluates comfort, road context and demanding segments on everyday journeys.

1

coherent journey

Route choice through post-ride feedback

1

pilot geography

Coverage and operations that can be inspected

Few

high-value signals

Only inputs that can be measured and explained

07 Why now External evidence

Cycling data, infrastructure and city obligations are converging.

The opportunity is not a generic market headline. It is a growing operating environment in which route context can become more measurable and more useful.

~24%

of EU residents cycle at least weekly

First EU-wide Cycling Counts baseline, 2026

900k+ km

of EU cycling paths and lanes mapped in the baseline

A starting point for comparable infrastructure data

431

European urban nodes required to adopt a SUMP by end-2027

Stronger planning and data expectations

01

Policy pull

The European Declaration on Cycling commits institutions to safer, more coherent networks and stronger cycling conditions.

02

Data readiness

Comparable infrastructure, use and safety baselines create a better foundation for local validation.

03

Digital opening

Connected devices and mobility systems create surfaces for guidance that does not depend on sustained phone attention.

08 Current proof Current

SRNA is pre-launch. The next proof is a focused prototype.

Credibility starts by separating what can be shown today from what the next build and pilot must establish.

Current

Defined today

  • Focused product thesis
  • Bilingual public product narrative
  • Interface and route-experience concept
  • Responsible-product principles
  • Evidence-gated roadmap
In validation

Questions being tested

  • Rider priorities and use case
  • Data availability and freshness
  • Context weighting
  • Cue usefulness and timing
  • Initial geography and cohort
Not yet proven

Outcomes still unknown

  • Retention and repeat use
  • Willingness to pay
  • Commercial partnerships
  • Safety impact
  • Cross-city repeatability

This is not a traction claim. Prototype, interview, pilot and commercial metrics will be added only when they are documented.

09 De-risking plan Validation target

A single-city pilot tests the riskiest assumptions first.

The first pilot is an evidence system: one cohort, one area, a limited signal set and pre-agreed decision criteria.

01

Define the question

Choose the rider cohort, geography, route types, available signals and the decision the pilot must support.

Coverage · baseline · consent
02

Build the smallest useful loop

Connect route selection, a small number of contextual cues and optional feedback without adding unmeasurable features.

Reliability · timing · comprehension
03

Review openly

Measure usefulness and failure modes, then decide whether to refine, expand or stop each capability.

Repeat use · false/redundant cues · privacy impact
Pilot scorecard
Route choice and completionCue usefulnessLate, false or redundant signal rateRepeat use and retentionReason comprehensionDevice reliabilityOperational feasibilityConsent understanding

Prevented incidents are not an appropriate first-pilot KPI; any future safety-impact claim requires a larger, expert-reviewed methodology.

10 Go-to-market Hypothesis

Distribution begins where rider trust already exists.

SRNA should earn its first users through credible communities and design partners, not an unfocused global acquisition campaign.

Rider communities

Recruit a relevant cohort through local cycling and e-bike groups, clubs and everyday commuter networks.

Pilot city or research partner

Align geography, data access, evaluation and public-interest guardrails around one defined question.

Device or e-bike partner

Validate one purposeful integration and reach riders through an existing trusted surface.

Retail and service touchpoints

Explore discovery where riders already choose, configure and maintain their mobility equipment.

  1. 01Design partners
  2. 02Prototype cohort
  3. 03Closed city pilot
  4. 04Evidence-backed early access
  5. 05Selective expansion
11 Business model Hypothesis

One rider product can support three commercial paths.

The model is diversified by customer value — without selling rider attention or presenting untested prices as published plans.

01

Rider subscription

Cyclists and e-bike riders

A useful core experience with clearly separated advanced route, offline or connected capabilities.

Test willingness to pay and retention
02

OEM / device integration

Mobility and device makers

Licensed experience, SDK or API components that bring context to an existing rider surface.

Prove integration value and support cost
03

Defined pilots

Cities and research programs

Time-bounded evaluation, integration and aggregated insight work with an explicit public-interest question.

Prove contract value and repeatability

No targeted-advertising model. Insurance remains a future, consent-based research direction — not a promised discount, score or active partnership.

12 Market logic In validation

The market model starts with reachable users, not a top-down headline.

A defensible market case will be built from tested conversion, pricing and partner values. Until then, the formula is more honest than a fabricated TAM.

B2C serviceable obtainable marketreachable active riders × conversion × validated annual value
Pilot-city rider baseReachable acquisition channelsPaid conversionRetention-adjusted annual value
B2B serviceable obtainable marketreachable partners × win rate × validated contract value
Qualified OEM / city accountsProcurement and integration cycleExpected win rateAnnual contract or pilot value
Every input gets a named source or ASSUMPTION labelSensitivity cases replace one-point certaintyTAM / SAM / SOM follows only after the beachhead is definedUnit economics follows real infrastructure and acquisition cost

Round diligence will contain the live assumption model; this public deck deliberately does not invent missing inputs.

13 Designed differentiation Hypothesis

SRNA competes on context, timing and connected surfaces.

The strategic position is a job-to-be-done, not an unsupported all-green comparison table.

CategoryPrimary jobStrengthBoundary
General navigationReach and ETABroad map coverageRoute-demand context is not the primary job
Sports and activity toolsPlan and recordPerformance and communityLow-distraction in-ride context varies by product
Cycling route toolsDiscover and planRider-specific route knowledgeConnected safety signals are a separate layer
Safety hardwareSense locallyPurpose-built device signalsA sensor does not explain the complete route
SRNA directionUnderstand before the turnRoute context + timing + interoperable surfacesMust still prove data quality, usefulness and repeatability
Explainable route contextTimely minimal cuesPhone-to-device continuityConsent-aware learning
14 Potential advantage Planned

The learning loop can become durable only if riders trust it.

Local quality, evaluation discipline and integrations may compound into an advantage — but only after the pilot proves that the loop is useful and responsible.

Inputs

Normalize local signals

Track provenance, freshness, gaps and permissions.

Decision

Model route context

Turn inputs into explainable route differences and cue timing.

Experience

Guide with restraint

Prioritize the smallest signal that can support awareness.

Learning

Calibrate by consent

Use optional feedback to improve relevance and expose failure modes.

Potential compounding assetsCity-by-city evaluation methodContext-quality historyDevice compatibility layerPartner integration knowledgeEarned rider trust
Non-negotiable guardrailsData minimizationExplicit opt-inExplainable recommendationsNo hidden raw-location sharingEvidence before safety claims
15 Execution model Current

The first team is designed around proof — not headcount.

SRNA is currently a founder-led product and technical build. The next capabilities should be added against the validated prototype and pilot scope.

Current operating model

Founder-led definition and build

Product thesis and experience architecture

Technical website and prototype direction

Partner and validation framework

01

Mobile & geospatial engineering

Routing, offline continuity, instrumentation and production-grade mobile delivery.

02

Mobility data & evaluation

Source quality, context methodology, experiment design and signal calibration.

03

Human factors & road safety

Cue timing, distraction, safety claims and expert-reviewed pilot design.

04

Pilot, privacy & partnerships

City operations, consent, legal readiness and partner delivery.

Founder biography, legal entity, formal titles and confirmed advisers belong in diligence once verified for public release; planned roles are not presented as current employees.

16 The ask Validation target

This round converts the product vision into pilot evidence.

SRNA is opening conversations with investors and strategic pilot partners to fund the path from a focused prototype to an evidence-backed single-city pilot.

01

Focused prototype

One coherent route-choice, cue and feedback journey with measurable instrumentation.

02

Data and device proof

A documented route-context pipeline and one validated compatible-device integration.

03

Closed city pilot

A defined cohort, scorecard, privacy controls and transparent result review.

04

Investment-ready evidence

Retention, usefulness, feasibility and commercial-learning inputs for the next decision.

Round size, instrument, runway and detailed use-of-funds are shared in direct diligence after alignment on the proof plan.Build the safety intelligence layer for urban mobility.
partners@smartridenavigator.com
SRNA · Investor brief

Investor brief overview

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  1. 01 · Investment thesisKnow more before the next turn.Current
  2. 02 · The problemA fast route can still leave a rider unprepared.External evidence
  3. 03 · Product insightThe missing layer is context — not another map.In validation
  4. 04 · Product directionSRNA turns available signals into timely, low-distraction guidance.Planned
  5. 05 · The experienceOne ride demonstrates the complete product thesis.Planned
  6. 06 · Focused entry pointCyclists and e-bike riders are the focused entry point.Hypothesis
  7. 07 · Why nowCycling data, infrastructure and city obligations are converging.External evidence
  8. 08 · Current proofSRNA is pre-launch. The next proof is a focused prototype.Current
  9. 09 · De-risking planA single-city pilot tests the riskiest assumptions first.Validation target
  10. 10 · Go-to-marketDistribution begins where rider trust already exists.Hypothesis
  11. 11 · Business modelOne rider product can support three commercial paths.Hypothesis
  12. 12 · Market logicThe market model starts with reachable users, not a top-down headline.In validation
  13. 13 · Designed differentiationSRNA competes on context, timing and connected surfaces.Hypothesis
  14. 14 · Potential advantageThe learning loop can become durable only if riders trust it.Planned
  15. 15 · Execution modelThe first team is designed around proof — not headcount.Current
  16. 16 · The askThis round converts the product vision into pilot evidence.Validation target