01
Infrastructure for AI & Autonomous Systems
TERRANEX
The infrastructure that powers, trains, and improves AI and autonomous systems.
Terranex turns real-world data into intelligence, simulations, and training environments, then uses what deployed systems learn to keep improving them.
terranex.xyzTERRANEX
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The Gap
AI is trained on a clean world. It operates in a messy one.
92%
plan to increase AI investment
McKinsey AI Workplace Report 2025
1%
are mature in AI deployment
McKinsey AI Workplace Report 2025
80%+
miss intended outcomes
RAND AI Project Analysis
Training Data
Clean
Curated
Static
Controlled
The Gap
Reality
Failures
Recovery paths
Edge cases
Operational behavior
Closing that gap takes infrastructure that keeps learning from the real world, before and after deployment.
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Solution
How Terranex Works
Inputs
Enterprise documents
Product + marketplace data
Video + sensor streams
System logs
Robotics telemetry
Workflows + data
Any enterprise source
Terranex Infrastructure Engine
Structure. Simulate. Improve.
Synchronization
Extraction
Structuring
Causal Mapping
Delivery + Feedback Loop
Train AI
Training + evaluation datasets
Simulation & training environments
Continuous retraining pipelines
Power Embodied AI
Perception & decision intelligence
Coordination & autonomy feeds
Live intelligence APIs
Deployed robots, drones, and autonomous systems run on this to perceive their environment, decide, coordinate, and act. What they do generates new operational data, which flows back into the engine to simulate new situations and retrain the systems it powers.
PRODUCTS:  Data terminals  ·  APIs  ·  Simulation & training environments  ·  Continuous improvement
terranex.xyzTERRANEX
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Market
Infrastructure for AI and autonomous systems.
$32B+
Adjacent
Enterprise AI, training data, simulation, AI evaluation, governance.
$8B
Target
Infrastructure to power, train, and improve AI and physical systems.
$800M
Serviceable
Reachable via enterprise contracts, APIs, and network services in 3 years.
AI InfrastructureTraining DataSimulationEmbodied AIAI Governance
Directional estimates from adjacent market research. Not audited projections.
terranex.xyzTERRANEX
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Competitive landscape
Terranex is a category, not a vendor.
Capability Terranex Data Labeling
Scale AI, Labelbox		 Synthetic Gen
Mostly AI, Gretel		 Internal Teams
Real operational data source✓✗✗~
Failure + recovery capture✓✗~~
Verified provenance✓~✗✗
Schema-stable intelligence records✓~✗✗
Corpus compounds over time✓✗✗✗
Scales without linear cost growth✓✗✓✗
✓ Native  ~ Partial  ✗ Not supported. Others annotate or approximate. Terranex creates verified operational intelligence.
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Unfair Advantage
The corpus compounds.
Compounding corpus
Every deployment generates new operational data. Terranex turns it into simulations and training updates competitors cannot replicate.
Schema lock-in
Training and evaluation workflows lock into Terranex schema-stable records.
Operational scarcity
Real failures, recoveries, and edge cases cannot be faked or cheaply approximated.
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Target Audience
Who we build for.
Enterprise Intelligence
Convert operational data into actionable intelligence.

Businesses turning product, advertising, and workflow data into decision-support intelligence.

Beachhead
AI Training + Evaluation
Train, evaluate, and continuously improve AI systems.

Training-ready datasets, evaluation corpora, and failure cases that power model development before and after deployment.

Robotics + Physical AI
Powering perception, decisions, and autonomous operation.

Terranex helps robots and drones understand their environment, make decisions, and coordinate actions, then turns the data they generate into new training and simulation to keep improving them.

Simulation + Governance
Real operational scenarios and compliance records.

Scenario assets, counterfactuals, and audit records that simulate new situations and support AI governance and review.

Expansion
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Business Model
Enterprise today. What we sell.
Layer 01
Enterprise Contracts
Custom intelligence systems, data terminals, and operational intelligence products.
Annual contracts
Layer 02
Data Terminals + APIs
Live deployments, intelligence APIs, and continuous training feeds.
API subscriptions
Layer 03
Private Deployments
Dedicated pipelines for compliance-sensitive customers.
Deployment fees
MOTION:  custom delivery → repeatable products → APIs → network scale
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Go-To-Market
Land. Productize. Scale.
Phase 01 – Now
Enterprise Wedge
Enterprise intelligence: marketplace, product analytics, advertising optimization.
3+ lighthouse customers
Phase 02
Productize
Turning pilot deployments and custom engagements into repeatable APIs and data terminals.
Subscription expansion
Phase 03
Expand
Node and intelligence operators, autonomous systems, physical-world data.
Network + channel
CHANNELS:  direct enterprise → productized intelligence → network operators + autonomous systems
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Traction
Revenue-generating. Strategically backed. Product live.

Live contract with Europe's largest Amazon agency.

Delivering structured operational intelligence for product listing optimization, advertising analysis, and marketplace intelligence.

Revenue-generating Backed by CMS Holdings Terranex live
$300K
closed capital
Live
Terranex deployment
Validated
enterprise intelligence contract
Next
3+ lighthouse customers
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Team + Advisors
Operators who build in production.
Ely Beckman
EB

Ely Beckman

Founder + CEO
Serial entrepreneur. $300M+ trading volume.
Thomas Lu
TL

Thomas Lu

CTO
Ex Olympus DAO. Ex Amazon engineer.
Jacob Chan
JC

Jacob Chan

Lead AI Engineer
Co-founder, Dante AI.
Cecilia Veloso
CV

Cecilia Veloso

Lead Designer
NEAR. Filecoin.
Michal Stefanow
MS

Michal Stefanow

Blockchain Engineer
Protocol + smart contract infrastructure.
Takeshi Agaki
TA

Takeshi Agaki

AI Engineer
SMBC. Applied ML in financial systems.
Dante AIDante AI SMBC
Advisors
Brenden Maher
BM

Brenden Maher

AI Advisor
MIT Media Lab. DAO/DUNA legislation.
Adryene Ashley
AA

Adryene Ashley

Tactics + Compliance
Slay Ventures. Reno Founder Forge.
Julien Phips
JP

Julien Phips

Compliant Capital
Multi-exit entrepreneur. Compliance strategy.
terranex.xyzTERRANEX
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Tokenomics
TNX: Controlled supply. Staged unlock.
400M
Total TNX supply, fixed
~14.5%
Circulating at TGE, controlled float
12-mo
Team cliff, no year-1 unlock
Allocation
Supply 400,000,000 TNX
Community32.9%
Seed10.0%
Private investors15.6%
Team15.0%
Treasury14.5%
Liquidity12.0%
Vesting schedule
Seed – 25% at TGE, 1-month cliff, then linear over 5 months
Team – 12-month cliff, linear over 24 months
Treasury – reserved for operations
Liquidity – 100% at TGE, LP locked
Investor protections
No team tokens unlock in year 1
LP locked at TGE. Deep liquidity pool.
~14.5% circulating at launch. Controlled float.
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Funding
Raising $700K. $300K closed.
Seed Round
$700K
Open allocation. $300K committed.
$1MSeed size. $10M FDV
$300Kclosed
$700Kopen (token allocation)
Seedround
Use of funds
40%
Engineering
30%
Intelligence + Data
20%
Sales + GTM
10%
Operations
18-month milestones
Expand Terranex deployments
3+ lighthouse enterprise customers
Intelligence APIs and feeds launched
Node + operator framework built
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Why Invest
Why Terranex. Why now.
The Gap

AI infrastructure bottleneck

Model capability has outpaced the infrastructure to deploy, train, and improve it in the real world.

The Traction

Revenue-generating now

Live enterprise contract. Terranex deployed. CMS Holdings backing.

The Round

$700K open. $1M Seed.

Funds Terranex expansion, intelligence infrastructure, and network buildout.

Model progress has outpaced the infrastructure to run it in the real world.

TERRANEX
terranex.xyz · contact@terranex.xyzTERRANEX
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Contact
Ready to build with us?
terranex.xyz · contact@terranex.xyzTERRANEX