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NAVIS

PATENT PENDING

PROBLEM

Example Reefer Load: Atlanta, GA → Miami, FL

662 mi | 40K lbs Frozen Poultry | Loss $1,257+ | 74% Load Value Destroyed

Weather

TMS plans route.

No weather check.

-  $150

Fuel + 3hr Delay

4 Hour Wait at Dock

Misses appt

$200 detention (broker disputes)

-  $200

Carrier Absorbs

Fuel & Tax Credit Missed

Surcharge stale.

(48 off-hwy miles. IFTA unclaimed.)

-  $117

Overpaid + Missed

Atlanta, GA
Miami, FL
Truck

Reefer Temp Spike

Delay causes temp rise.

10°F → 5°F.

Nobody is alerted.

-  $1,706

Cargo a Risk

Engine Warning Ignored

P0171 fault code

ELD logs it.

No one sees it.

-  $4,500

Breakdown Next Trip

Drives Back Empty

No backhaul.

662 empty miles.

110 gal burned.

-  $790

Zero Revenue

SOLUTION

AI Cross-Domain Orchestration Engine

From chaos to control in real time

Value Proposition

Every Load Protected. Every Dollar Captured.

• Exposed losses per load eliminated — connected systems prevent every failure

• One platform replaces 6+ tools — TMS, telematics, fuel, claims, compliance

• AI acts on every alert — reroutes, claims, temp spikes handled automatically

• Detention recovered instantly — parametric triggers pay carriers, no disputes

• Empty miles matched in real time — deadhead becomes backhaul revenue

• Fuel, IFTA, and carbon captured — surcharges corrected, credits monetized

Underlying Magic

Closed-Loop Decision Engine. Patent Pending.

• 12-module AI orchestration — ops, risk, insurance, and finance in one closed loop

• Multi-objective scoring — every decision ranked on efficiency, risk, cost, and carbon

• Parametric triggers — sensor thresholds auto-fire claims, reroutes, and payouts

• Event-driven recomputation — no static plans, system re-optimizes on every signal

• Domain-agnostic architecture — same engine extends to robotics, AV fleets, insurance

• Provisional patent filed — 12 claims covering the full decision framework

Business Model

What Goes Wrong Today

Every problem below happens because systems don't talk to each other.

Same example reefer load

Atlanta, GA → Miami, FL | 662 mi | 40K lbs frozen poultry | $1,706

1. Route Ignores Weather

TMS plans the route. Doesn’t check weather. Driver hits a thunderstorm on I-75. 3-hour delay.

-$150 wasted fuel + driver time

2. Reefer Temp Spikes — Nobody Knows

Storm delay causes temp to rise from -10°F to 5°F. Telematics records it. Not connected to broker. Nobody acts.

$1,706 cargo at risk of rejection

3. Driver Waits 4 Hours at Dock

Arrives late. Misses appointment. Waits 4 hours. Detention: $200. Broker disputes it. Carrier never gets paid.

-$200 lost (carrier absorbs it)

4. Engine Warning Ignored

ELD logs P0171 fault code. Dispatcher uses different system. Doesn’t see it. Truck breaks down next trip.

-$4,500 tow + repair next trip

5. Fuel Surcharge Wrong, Tax Credits Missed

Surcharge set last Monday. Diesel dropped $0.12 since. 48 off-highway miles = unclaimed IFTA credit.

-$117 overpaid + unclaimed

6. Truck Drives Back Empty

No backhaul from Miami. 662 empty miles back to Atlanta. Burns 110 gallons of diesel for zero revenue.

-$790 fuel + driver pay wasted

$1,257+ lost

on a single $1,706 load — 74% of load value destroyed

Projections & Key Metrics

NAVIS doesn't predict margin. It captures existing waste.

“NAVIS doesn't require the industry to change. It monetizes the fact that it hasn't.”

1. We’re Not Inventing Margin. We’re Capturing Waste.

The $1,257 lost per load isn’t a theory. It’s a measurable tax on every reefer shipment today. NAVIS installs a system to catch the capital already flowing out.

2. 26 Units to Prove the Loop. 521,000 to Scale It.

Year 1: one mid-sized fleet. 0.005% penetration. We prove the capture loop before we scale the system.

3. Integration, Not Invention.

TMS, telematics, ELD, weather — all exist. NAVIS is the coordination layer that connects and monetizes them. We didn’t patent the truck or the sensor. We patented the intelligence gap between them.

4. Every Load Gets Smarter. Switching Resets It.

Each shipment feeds routing, pricing, risk, and automation. Margins expand automatically. Leaving means starting over.

5. $2.5M Accelerates Capture. Not Discovery.

The blueprint is finished. The math is anchored in real detention, fuel, and repair baselines. This capital funds the rollout—the risk has already been priced into the waste.

“If the market corrects, we win. If it doesn't, we win faster.”

Go-To-Market

Embed First. Scale Fast.

1. Give Away the Pain. Capture the Load.

Free telematics. Free detention coverage. Free weather protection. $25.81 cost per load unlocks $207.36 in revenue. The giveaway is the distribution.

2. We Don’t Recruit Salespeople. We Arm Insiders.

Industry operators with decades of relationships, activated on retainer + commission. The trust is already built. NAVIS gives them something worth selling.

3. Prove Small. Scale Mechanically.

26 units validate the capture loop. Same system, same economics at 521,000. No retooling required.

4. Every Load Deepens the Moat.

Routing, pricing, risk, automation — each shipment trains the system. Margins expand automatically. Switching means starting over.

Competitive Landscape

Fragmented Systems. No Outcome Layer.

They Monitor

Tive, ORBCOMM, Sensitech

→ See the problem. Can't act on it.

They Track

project44, FourKites

→ Show delays. Don't fix or monetize them.

They Sense

Samsara, Motive

→ Generate data. Don't convert it to margin.

They Pay

Triumph Financial, Uber Freight

→ Move money. Don't optimize the load.

They Insure

Loadsure

→ Cover risk. Can't price it with real-time data.

The Gap

Every system touches the load. No system owns the outcome of the load.

NAVIS is the orchestration layer across all of them.

The industry has tools. It doesn't have a control layer.

The Operators

From Infrastructure to Distribution

Athindra Sai

Enterprise Supply Chain Architect

• Architected logistics systems moving $50B+ annually

• Built core supply chain infrastructure inside C&S Wholesale Grocers

• Operated across the financial layer at Citibank and marketplace layer at eBay / PayPal

• Designed algorithmic systems used by The Home Depot, Walmart, and other Fortune-scale operators

→ Knows exactly where margin leaks between dock, data, and delivery.

Andrew Segrera

Distribution & Commercial Scale

• Scaled products into 40,000+ retail locations

• 25+ years building supply chains that convert into revenue

• Strategic distribution with Costco, The Home Depot, Bass Pro Shops, Ace Hardware

• Innovation recognized by Museum of Modern Art, TIME, Fortune

→ Knows how to turn systems into national distribution and category dominance.

Milestones & Use of Funds

From Intelligence to Deployment

1. The waste is structural.

Margin leaks from every load. Systems don’t communicate.

2. The coordination layer exists.

NAVIS connects what already exists. Patent Pending protects the logic.

3. The ecosystem is assembled.

Insurco. Descartes. Amazon One Care. Global hardware pipeline — secured before deployment.

4. The economics are mechanical.

$207.36 per load. $25.81 cost. 87.6% gross margin.

5. $2.5M activates the system.

Initial fleet deployment. <1% penetration. $194.5M revenue trajectory.