deepgridSEMI

Pre-Series A · Hyderabad, India

Fleet & MobilityAGV

Seaport AGV

The Seaport AGV is an autonomous container yard vehicle designed to transport shipping containers between quay cranes and yard blocks within port perimeters. It carries the second-highest unit price in the portfolio at ₹45,30,000 with an 89% gross margin and has achieved external validation through a live order at Vizag Container Terminal.

Listed price
₹45,30,000
FY2032 revenue
₹22.6 Cr
Share of plan
2.0%
Gross margin
89%
First revenue
FY2028
Volume plan
50 @ FY32
Concept render of a container terminal at dusk with autonomous haulers and cranes traced in tracking overlays
Container moves inside a terminalConcept render · S100 domain

From input to outcome

Proposed product architecture. The scene illustrates its application, not a shipped kit.

  1. Surround sensing reads containers, cranes, lanes and people in the yard

  2. SoC2 localises against the yard map and tracks moving obstacles

  3. Planner sequences the pick, the move and the drop against the yard schedule

  4. The vehicle executes and reports back to the terminal system

The S100 SDV controller on the SoC2 dieTechnology: six domains, one tapeout

Drag to rotate. Conceptual layout, not a mask.

On the die

Seaport AGV

Runs on one of the six domains:

  • S100 SDV controller

The case in brief

  • Backed by external proof from a live order at Vizag Container Terminal, Seaport AGV sells at ₹45.30 L per unit at an 89% gross margin.
  • Dynamic fusion on SoC2 holds 7 cm accuracy in the open and 22 cm under quay cranes where satellite positioning falls away, enabling crane-synchronised dispatch.
  • Management projects ₹22.6 Cr in FY2032 revenue across 50 units, capturing an assumed 0.02% of the automated container terminal market pool.

What it is used for

Quay-to-yard container transfer

Buyer
Port and terminal operators
The job
Terminal operators need to transfer containers reliably between quay cranes and yard blocks inside a geofenced site while lowering labour costs and expanding throughput.
What DeepGrid supplies
DeepGrid provides an autonomous container yard vehicle equipped with surround sensing, SoC2 compute, yard management integration, and centimetre-level positioning.

The story

An autonomous container-yard vehicle operating inside a port perimeter.

The vehicle platform automates container movement between quay cranes and yard stacks across controlled terminal sites. Operating amid tight lanes and heavy overhead equipment, the system integrates surround sensing, SoC2 compute, and terminal software to prevent positioning errors. The product establishes external proof through a live order at Vizag Container Terminal.

  • ₹45.30 LUnit price
  • SystemsSegment
  • IndoorOperating domain
  • FY2028First revenue
  • Vehicle platform with surround sensingComponent
  • SoC2 compute and autonomy stackComponent

Portfolio deck, slide 68: What it is

Dynamic fusion on SoC2 holds 7 cm in the open and 22 cm under the crane.

Surround sensing reads containers, cranes, lanes, and people in the yard, feeding raw data to SoC2 to localise against the yard map and track moving obstacles. Under quay cranes where satellite positioning degrades and RTK-GNSS alone falls away, dynamic fusion maintains positioning accuracy to enable crane-synchronised dispatch. Delivery depends on bespoke terminal integration work and berth-level commissioning.

  • 7 cmIn the open
  • 22 cmUnder the crane
  • SoC2Autonomy compute
  • Terminal integration workProduct dependency

Portfolio deck, slide 69: How it works

Port and terminal operators adopt automation to improve throughput and labour cost.

Inside controlled, geofenced sites, customer adoption is driven by operational confidence rather than public-road homologation. DeepGrid sells directly to terminal operators, typically deploying into a pilot berth first before expanding across the terminal. Management projects 50 units at FY2032, capturing an assumed 0.02% of the $10.95B automated container terminal market pool.

  • Port and terminal operatorsThe buyer
  • Direct to terminal operatorsThe channel
  • Throughput and labour costDemand trigger
  • $10.95BMarket pool 2024
  • 0.02%FY2032 capture rate

Portfolio deck, slide 70: Who buys it

Seaport AGV reaches ₹22.6 Cr at FY2032, representing 2.0% of group revenue at an 89% gross margin.

Priced at ₹45.3 lakh each, Seaport AGV generates material revenue on low unit volume across the portfolio. Management projections scale shipments to 50 units by FY2032, backed by concrete external proof from a live order at Vizag Container Terminal. Revenue growth depends on berth-level commissioning and yard-management system integration.

  • ₹22.6 CrFY2032 revenue (management projection)
  • 50 unitsFY2032 units (management projection)
  • 2.0%Share of group
  • 89%Gross margin
  • Vizag Container TerminalLive order proof
Revenue and units by year (management projection)
  1. ₹0 CrFY270 units
  2. ₹0.91 CrFY282 units
  3. ₹2.27 CrFY295 units
  4. ₹4.53 CrFY3010 units
  5. ₹6.79 CrFY3115 units
  6. ₹22.65 CrFY3250 units

Portfolio deck, slide 71: How it fits

A working terminal twin proves positioning, routing, and scheduling in simulation.

In a simulation, not a fielded deployment, DGrid Yard OS demonstrates that dynamic fusion holds vehicle tracking as satellite signals fall away inside container canyons. The simulator runs congestion-aware routing in mixed traffic and uses predictive ETA dispatch to collapse crane idle time. The platform operates in shadow mode alongside the existing terminal system before receiving operational control.

  • DGrid Yard OSLive terminal twin
  • Simulation, not a fielded deploymentProof status
  • 9 percentArrival time error
  • Shadow mode firstAdoption path
A container terminal twin Positioning, routing and dispatch under quay cranes · 0:53

Portfolio deck, slide 72: Proven in a simulatorPortfolio deck, slide 73: The simulator, running

What has to go right

Commercial rollout depends on formal port authority partnerships and domain certification. Berth-level commissioning and yard management system integration are bespoke, slow processes that dictate field installation velocity. DeepGrid must demonstrate in shadow-mode trials that sensor fusion holds accuracy under cranes and reduces crane idle times. Expanding the business requires converting initial proof points, such as the live order at Vizag Container Terminal, into recurring, multi-unit fleet orders.

Key dependency Port authority partnerships and certification.

Further reading and viewing

Related products

Prices, volumes, revenues and margins are management projections. The text is written from the linked documents, and every figure in it appears in the source it came from.