01
AI + Autonomous Systems Infrastructure
TERRANEX
Building the training infrastructure for AI and autonomous systems.
Enterprise intelligence today. AI training infrastructure tomorrow.
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The Gap
AI adoption is constrained by structured intelligence.
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
The bottleneck is not data - it is transforming it into structured intelligence AI systems can reliably use.
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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 Intelligence Engine
Intelligence Engine
Synchronization
Extraction
Structuring
Causal Mapping
Delivery
Outputs
Training datasets
Simulation scenarios
Failure + recovery corpora
Evaluation datasets
Intelligence embeddings
Intelligence APIs
PRODUCTS:  Data terminals  ·  APIs  ·  Simulation  ·  Enterprise infrastructure
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Market
Enterprise intelligence and AI training infrastructure.
$32B+
Adjacent
Enterprise AI, training data, simulation, AI evaluation, governance.
$8B
Target
Enterprise intelligence and physical AI training infrastructure.
$800M
Serviceable
Reachable via enterprise contracts, APIs, and network services in 3 years.
Enterprise AITraining DataSimulationRoboticsAI Governance
Directional estimates from adjacent market research. Not audited projections.
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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
Each deployment adds structured records and intelligence assets 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 and evaluate AI on structured operational data.

Training-ready datasets, evaluation corpora, and failure cases for model development.

Robotics + Physical AI
Structured intelligence from physical-world operations.

Failure, recovery, and behavior data for simulation, evaluation, and deployment.

Simulation + Governance
Real operational scenarios and compliance records.

Scenario assets, counterfactuals, and audit records for 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
Meridian deployments, intelligence APIs, and continuous 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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Tokenomics
TNX: Controlled supply. Staged unlock.
400M
Total TNX supply, fixed
~16.8%
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 – 15% at TGE, linear over 6 months
Team – 12-month cliff, linear over 24 months
Liquidity – 100% at TGE, LP locked
Treasury – reserved for operations
Investor protections
No team tokens unlock in year 1
LP locked at TGE. Deep liquidity pool.
~16.8% circulating at launch. Controlled float.
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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
Meridian 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 Meridian for product listing optimization, advertising analysis, and marketplace intelligence.

Revenue-generating Backed by CMS Holdings Meridian live
$300K
closed capital
Live
Meridian 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.
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Funding
Raising $700K. $300K closed.
Seed Round
$700K
Open allocation. $300K committed.
$1MSeed size. $10M FDV
$300Kclosed
$700Kopen (Equity available)
Seedround
Use of funds
40%
Engineering
30%
Intelligence + Data
20%
Sales + GTM
10%
Operations
18-month milestones
Expand Meridian 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

Training infrastructure bottleneck

AI adoption is constrained by structured intelligence, not model capability.

The Traction

Revenue-generating now

Live enterprise contract. Meridian deployed. CMS Holdings backing.

The Round

$700K open. $1M Seed.

Funds Meridian expansion, intelligence infrastructure, and network buildout.

The next AI bottleneck is not models. It is training infrastructure for intelligent systems.

TERRANEX
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Contact
Ready to build with us?
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