VECTARA · SYSTEMS
INVESTOR · CONFIDENTIAL
Vectara

Autonomous Systems · Software · Advantage

Vectara Systems.

Building the operating system for autonomous operations.

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§ 01 · Problem

Autonomy scaled.
The software to command it hasn't.

01
Foreign-cloud dependency
Today's autonomous systems phone home to vendor clouds. Operators get no audit, no control, no leverage.
02
The edge has no cloud
On a mine, a field or a port the network drops — and cloud-only autonomy stalls the moment the link does.
03
Four-to-six vendors, stitched
Operators bolt together separate tools for planning, control, video and analytics. No shared substrate.
04
Data never becomes decisions
Sensors flood in; insight trickles out. Teams drown in feeds while the decision that matters waits.
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§ 01 · The gap

Everyone else ships drones.
We ship the system.

TODAY · FRAGMENTED
UAV App
UGV Console
USV Software
Radar GUI
Camera Feed
Mission Tool
  • 6 vendors · 6 interfaces · 6 operator teams
  • Nothing talks to anything else
  • 1 operator ≈ 1 vehicle
  • Breaks when the network drops
VECTARA · ONE SYSTEM
ARGUS · OPERATOR CONSOLE
UAVUGVUSVUUVRADARVISION
one screen · one language · one mission graph
  • Every platform, one operating fabric
  • State intent — the system executes
  • 1 operator commands 48
  • Holds when the network drops — fully autonomous
VECTARA · SYSTEMS
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§ 02 · Solution

One stack. Every unmanned class.
Owned end to end.

Vectara builds the coordination layer that runs unmodified across UAV, UGV, USV and UUV platforms. Edge-deployed AI replaces cloud dependency. Onboard perception holds when GNSS doesn't. One mission graph. One operating language. One cognitive substrate.

— I
Edge-native
On-device AI. No cloud dependency, no dead zones.
— II
Composable
Open agent protocols across every platform.
— III
Onboard
Perception, guidance, mission graph on the edge.
— IV
Multi-domain
Air · ground · surface · subsurface · static.
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§ 02 · How it works

From a sentence
to a coordinated mission.

The operator never flies a vehicle. They state an objective. ARGUS — the intelligence layer — decomposes it, allocates assets, deconflicts routes and executes, then reports outcomes. This is the difference between commanding a fleet and operating one.

01
INTENT
"Secure this border for 6 hours."
02
DECOMPOSE
Break objective into tasks, zones, sensor needs.
03
ALLOCATE
Match tasks to best UAV · UGV · USV by range, payload, fuel.
04
EXECUTE
Routes deconflicted, swarm moves, onboard autonomy flies.
05
SUPERVISE
Operator approves edge cases. System handles the rest.
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§ 02 · Networked autonomy

One mesh.
Every domain.

Air, ground, surface and subsurface assets share one nervous system. Each node relays for the next — so coverage extends, and the loss of any single link never breaks the force. One drone collects. The ecosystem understands, distributes and acts in real time.

SHARE Sensor feeds
SHARE Threat tracks
SHARE Situational picture
SHARE Mission state
UAV UAV UGV USV UUV UAV HIVE MESH
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§ 02 · Perception

How the machine
sees and decides.

Every platform runs V-SIGHT — our proprietary perception model, trained on a massive self-collected dataset of aerial, ground and maritime scenes. No open-source weights, no cloud, no link required. Detections fuse with motion into a 3D track that drives the tracking decision. Milliseconds, on the edge.

onboard aerial feed
FEED A-3 · EO · AERIALVEHICLE ×26 · PERSON ×14V-SIGHT · 31 FPS · ALL LOCK
EO / IR
CAPTURE
Multi-spectral cameras + depth.
V-SIGHT
DETECT
Proprietary detector · trained on our own massive field-collected dataset.
SLAM
FUSE
Detections + ego-motion → 3D world track.
EKF
TRACK
Predict path, hold lock through occlusion.
POLICY
DECIDE
Within policy → act. Else → escalate to operator.
VECTARA · SYSTEMS
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§ 02 · Agentic intelligence

Not scripted.
Reasoning.

Each asset runs an agent that closes its own loop — perceive, reason, plan, act, learn — while ARGUS reasons over the whole force. Conditions change, the plan adapts. No operator re-tasking required. The fleet thinks as one.

Loop latency< 90 ms
Per-assetOnboard agent
Force-levelARGUS orchestration
AdaptsNo human in loop
PER-CEIVE REASON+PLAN ACT LEARN +ADAPT
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P-05 · Hive OS

Hive OS.
Universal onboard intelligence.

One operating system. Every unmanned class. Eight-layer kernel from real-time scheduler to mission graph. Mesh networking, attested boot, signed missions, deterministic IPC.

Latency floor< 5 ms IPC
Throughput240 Hz control loop
MeshCRDT consensus
Boot chainTPM-attested
LanguagesRust · C++ · Python
Targetsx86 · ARM · NPU
hive-os :: kernel-mon :: tty0
● LIVE
KERNEL STACK
L8telemetry · black-box98%
L7mission graph · ROEs74%
L6trust · TPM · attest61%
L5mesh · LTE · satcom88%
L4autonomy · BT · RL92%
L3perception · SLAM · EKF83%
L2hardware abstraction46%
L1real-time kernel71%
SYSTEM TELEMETRY
CPU42.6%
MEM3.1G
NET218 Mb/s
UAV48
ACTIVE PROCESSES
0x01slam.corerunning2.1 ms
0x02mesh.consensusrunning0.8 ms
0x03vision.vsightrunning14.3 ms
0x04planner.rlrunning3.6 ms
0x05tpm.attestsealed
0x06link.satcomdegraded11.4 ms
0x07guidance.terminalarmed0.4 ms
0x08blackbox.flushrunning5.0 ms
[OK] mesh: 48 peers · CRDT sync 3 ms
[OK] tpm: PCR0 sealed · boot verified
[OK] mission: SURVEY-A · POLICY-2 loaded
[!!] link.satcom: latency > 10 ms · failover armed
hive://
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P-06 · Argus · Autonomous Execution & Guidance Intelligence System

Argus.
The intelligence layer.

ARGUS is the central intelligence layer of the Vectara ecosystem. Operators define mission intent — survey this site, run this corridor — and ARGUS turns objectives into coordinated action: allocating assets, fusing sensors, deconflicting routes in milliseconds. Operators supervise outcomes, not vehicles. One commands a flight of forty-eight.

Operator ratio1 : 48
Decision latency< 90 ms
CommsMesh · SATCOM · LoRa
ConsoleWeb · Linux · rugged
ARGUS :: operator-console :: site-east
● TASKING
ALT118.4M
SPD42.1M/S
HDG134°
LINK98%
OWN ×48 UNKNOWN FLAGGED
AGENT · MISSION INTENT
OPERATOR · 04:21:08
Re-task two units to grid B2. Confirm anomaly X-1.
ARGUS · 04:21:08
Parsing intent. Allocating ALPHA-3, ALPHA-4. Route deconflicted with swarm. Survey profile ready.
ARGUS · 04:21:09
Contact X-1 classified FLAGGED · 0.94 confidence. Within policy envelope.
⚠ HUMAN-ON-THE-LOOP · APPROVAL REQUIRED
Re-task ALPHA-3 → WP-7 · intercept solution on X-1. Time-critical.
hive://
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§ 04 · Why now

Three forces.
One window.

Each trend alone is significant. Converging, they create a once-a-generation opening — and a closing one: whoever owns the coordination layer first becomes the default everyone else integrates with.

I
AI crossed the threshold
Onboard models now perceive, plan and coordinate in real time on edge silicon. What needed a datacenter in 2020 flies on a drone today.
II
Autonomy went attritable
Unit costs collapsed. Forces are shifting budget from few exquisite platforms to many expendable ones — fleets too large for human-per-vehicle control.
III
Modernization is funded
Industries worldwide are reallocating budget toward autonomy and digital twins — chasing productivity without adding headcount.

The bottleneck is no longer the vehicle. It is coordination — and that is a software problem.

VECTARA · SYSTEMS
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§ 04 · Market

One software layer.
A $180B market.

DIGITAL TWIN
2025 · $17 B
2030 · $73 BCAGR 34%
COMMERCIAL DRONES
2025 · $31 B
2030 · $58 BCAGR 13%
ROBOTICS & PREDICTIVE AI
2025 · $22 B
2030 · $50 BCAGR 18%
$ 181 B
Combined addressable by 2030 — across the three lines above
1 layer
Coordination software monetizes every platform class in all three

Digital twins, commercial drones and industrial AI are the fastest-growing lines in enterprise autonomy. ARGUS is the one software layer across all of them.

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§ 04 · The thesis

The most valuable autonomy companies don't build platforms — they build what platforms depend on.

Operational superiority will not be decided by who owns the most autonomous systems. It will be decided by who coordinates them most effectively. Vectara is building that layer.

Unified architecture
One framework, every domain, every platform class.
Software-first
Hardware churns. The coordination layer compounds.
Patented core
Proprietary multi-agent coordination & orchestration IP.
Human-amplifying
Operators stay in command. Effectiveness multiplies.
VECTARA · SYSTEMS
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§ 05 · About · Contact

Built by operators.
For the autonomous decade.

Vectara was founded on a single conviction — autonomy is a coordination problem, not a feature. Every line of the stack, from the consensus protocol to the mission graph, answers that.

— I
Founded
Engineers, an airfield, refusal to wait for permission.
— II
ARGUS v1
First reasoning ground control station, now in production with a customer.
— III
HIVE OS
Distributed OS across UAV · UGV · USV · UUV in one mission graph.
— IV
In production
Edge-deployed and in production. Zero cloud dependency.

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