Axis Robotics Price (axis/CAD)

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Axis Robotics
Currency
Axis Robotics
Axis Robotics
AXIS
Axis Robotics Price (AXIS/CAD)
$0.45
Price Change 24h
$0.00
24h Low / 24h High
$0.43 / $0.49
Market Cap
$75,557,882.00
Fully Diluted Market Cap
457,926,557
Market Rank
#426
Bitcoin
Bitcoin
BTC
Bitcoin Price (BTC/CAD)
$117,210.95
Price Change 24h
$2,796.69
2.41%
24h Low / 24h High
$114,148.00 / $117,372.00
Market Cap
$2,355,590,890,319.00
2.45%
Fully Diluted Market Cap
2,355,590,890,319
Market Rank
#1
Ethereum
Ethereum
ETH
Ethereum Price (ETH/CAD)
$3,463.13
Price Change 24h
$108.53
3.20%
24h Low / 24h High
$3,347.38 / $3,471.43
Market Cap
$422,928,918,241.00
3.23%
Fully Diluted Market Cap
422,928,918,241
Market Rank
#2
Tether
Tether
USDT
Tether Price (USDT/CAD)
$1.40
Price Change 24h
-$0.00031
-0.06%
24h Low / 24h High
$1.40 / $1.40
Market Cap
$256,673,249,592.00
-0.15%
Fully Diluted Market Cap
264,343,542,950
Market Rank
#3
BNB
BNB
BNB
BNB Price (BNB/CAD)
$1,046.90
Price Change 24h
$22.40
2.15%
24h Low / 24h High
$1,023.45 / $1,052.02
Market Cap
$137,660,510,131.00
2.19%
Fully Diluted Market Cap
137,660,510,131
Market Rank
#4
XRP
XRP
XRP
XRP Price (XRP/CAD)
$1.91
Price Change 24h
$0.083
4.53%
24h Low / 24h High
$1.82 / $1.92
Market Cap
$120,289,971,378.00
4.55%
Fully Diluted Market Cap
190,516,847,208
Market Rank
#5
Official Site
GitHub
White Paper
Official Site
GitHub
White Paper

Axis Robotics market data

Trading Volume
24h
Circulating Supply
165,000,000
16.5%
Volume / Market Cap
$0.00 / 0
Market Dominance
0%
Total Supply
1,000,000,000
BID
N/A
ASK
N/A
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What Is Axis Robotics (AXIS)?

Axis Robotics (also known as Axis AI) is building a distributed scaling infrastructure and data engine for physical AI and robotics. The platform utilizes large-scale simulations where human contributors directly guide robots through tasks, transforming these interactions into meaningful training data for foundation models.

The project incentivizes data collection through a crypto-native reward system. By completing simulation tasks, such as object manipulation and pose control, users generate high-quality datasets. This crowdsourced approach allows for scalable robotic learning across different environments without the traditional bottlenecks of real-world experimentation.

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