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Skild AI vs Agility Robotics

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

Skild AI is valued at $14B — more than 3x Agility Robotics's $2.1B.

Head-to-Head Verdict

Skild AI leads on 3 of 5 metrics

Skild AI

3 wins

+Valuation
+Funding
+Awaira Score
-Team Size
-Experience

Agility Robotics

2 wins

-Valuation
-Funding
-Awaira Score
+Team Size
+Experience

Key Numbers

Valuation
$14B
$2.1B
Total Funding
$1.9B
$641M
Awaira Score
90/100
80/100
Employees
75
300
Founded
2023
2015
Stage
Series C
Series C
Skild AIAgility Robotics
Winner
Skild AI logo
Skild AI

🇺🇸 United States · Deepak Pathak

Series CAI RoboticsEst. 2023

Valuation

$14B

Total Funding

$1.9B

Awaira Score90/100

75 employees

Full Skild AI Profile →
Agility Robotics logo
Agility Robotics

🇺🇸 United States · Damion Shelton

Series CAI RoboticsEst. 2015

Valuation

$2.1B

Total Funding

$641M

Awaira Score80/100

300 employees

Full Agility Robotics Profile →
Market Context

This is a head-to-head contest: both operate in AI Robotics and share a home market in United States. Both are at the Series C stage, meaning they face similar scaling challenges and investor expectations.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Within AI Robotics, Skild AI and Agility Robotics rank among the most closely watched rivals. Skild AI is a robotics company founded in 2023 that develops artificial intelligence systems for autonomous robots. Agility Robotics, founded in 2015 and headquartered in the USA, develops bipedal humanoid robots designed for industrial and commercial applications.

Funding & Valuation

Skild AI commands a $14B valuation — roughly 6.6x that of Agility Robotics at $2.1B, a gap that underscores their different scales. Skild AI has amassed $1.9B in total funding, far exceeding Agility Robotics's $641M.

Growth Stage

With a 8-year head start, Agility Robotics (founded 2015) has had considerably more time to mature than Skild AI (2023). At Series C, both face the same set of scaling challenges typical of that funding stage. Team sizes also differ: Skild AI employs 75 people versus Agility Robotics's 300.

Geography & Outlook

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent pool and customer base. The Awaira Score gives Skild AI (90) a notable lead over Agility Robotics (80). Under Deepak Pathak and Damion Shelton respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Skild AI

Total Rounds1
Avg. Round Size$300M

Agility Robotics

Total Rounds3
Avg. Round Size$102.7M
Funding Span4.3 yrs

Funding History

Skild AI has completed 1 funding round, while Agility Robotics has gone through 3. Skild AI's most recent round was a Series A of $300M, compared to Agility Robotics's Series C ($150M). Both are currently at the Series C stage.

Team & Scale

Agility Robotics has the bigger team at roughly 300 people — 4x the size of Skild AI's 75. Agility Robotics has a 8-year head start, founded in 2015 vs Skild AI's 2023. Both are based in United States.

Metrics Comparison

MetricSkild AIAgility Robotics
💰Valuation
$14BWINS
$2.1B
📈Total Funding
$1.9BWINS
$641M
📅Founded
2023WINS
2015
🚀Stage
Series C
Series C
👥Employees
75
300
🌍Country
United States
United States
🏷️Category
AI Robotics
AI Robotics
Awaira Score
90WINS
80

Key Differences

💰

Valuation gap: Skild AI is valued 6.6x higher ($14B vs $2.1B)

📈

Funding gap: Skild AI has raised $1.3B more ($1.9B vs $641M)

📅

Market experience: Agility Robotics has 8 years more (founded 2015 vs 2023)

👥

Team size: Skild AI has 75 employees vs Agility Robotics's 300

⚔️

Direct competitors: Both operate in the AI Robotics market segment

Awaira Score: Skild AI scores 90/100 vs Agility Robotics's 80/100

Which Should You Choose?

Use these signals to make the right call

Skild AI logo

Choose Skild AI if…

Top Pick
  • Higher Awaira Score — 90/100 vs 80/100
  • More established by valuation ($14B)
  • Stronger investor backing — raised $1.9B
  • Skild AI is a robotics company founded in 2023 that develops artificial intelligence systems for autonomous robots
Agility Robotics logo

Choose Agility Robotics if…

  • More market experience — founded in 2015
  • Agility Robotics, founded in 2015 and headquartered in the USA, develops bipedal humanoid robots designed for industrial and commercial applications

Funding History

Skild AI raised $1.9B across 1 round. Agility Robotics raised $641M across 3 rounds.

Skild AI

Series A

Jul 2024

Lead: Lightspeed Venture Partners

$300M

Agility Robotics

Series C

Jun 2022

Lead: Amazon

$150M

Series B

Apr 2022

Lead: Amazon

$150M

Series A

Mar 2018

$8M

Investor Comparison

No shared investors detected between these two companies.

Unique to Skild AI

Lightspeed Venture PartnersCoatue ManagementSoftBank Vision FundJeff Bezos

Unique to Agility Robotics

AmazonothersPlayground GlobalKleiner Perkins

Users Also Compare

FAQ — Skild AI vs Agility Robotics

Is Skild AI bigger than Agility Robotics?
By valuation, Skild AI is the larger company at $14B versus $2.1B — a 6.6x difference. Size can also be measured by team: Skild AI employs 75 people while Agility Robotics has 300 employees.
Which company raised more funding — Skild AI or Agility Robotics?
Skild AI has raised more in total funding at $1.9B, compared to Agility Robotics's $641M — a gap of $1.3B. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Skild AI leads with an Awaira Score of 90/100, while Agility Robotics sits at 80/100. That 10-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded Skild AI vs Agility Robotics?
Skild AI was founded by Deepak Pathak in 2023. Agility Robotics was founded by Damion Shelton in 2015. Visit each company's profile on Awaira for a full founder biography.
What does Skild AI do vs Agility Robotics?
Skild AI: Skild AI is a robotics company founded in 2023 that develops artificial intelligence systems for autonomous robots. The company focuses on creating AI software that enables robots to perform complex, dexterous manipulation tasks in real-world environments. Skild AI's core technology centers on machine learning models designed to improve robotic perception, planning, and control capabilities, allowing robots to handle varied objects and adapt to dynamic conditions. The company operates in the growing intersection of AI and robotics, where demand for automation solutions continues to expand across manufacturing, logistics, and warehouse operations. Skild AI's approach emphasizes practical deployment of AI-powered robotic systems rather than theoretical research, positioning it within the applied robotics sector. As of its most recent funding round, Skild AI has raised $1.9 billion in total funding and holds a valuation of $14.0 billion, reflecting significant investor confidence in its market potential. The company operates at Series C stage, indicating maturation beyond early-stage development. Specific details about notable customers, deployed use cases, and competitive positioning relative to other robotics companies are not disclosed. The company's rapid valuation growth and substantial funding suggest strong market traction, though its exact revenue figures and growth trajectory remain proprietary information. Skild AI achieved a $14 billion valuation within approximately two years of founding, indicating exceptional investor confidence in its robotics-AI technology platform. Agility Robotics: Agility Robotics, founded in 2015 and headquartered in the USA, develops bipedal humanoid robots designed for industrial and commercial applications. The company's flagship product is Digit, a two-legged robot engineered to navigate human environments and perform tasks including sorting, moving, and handling objects in warehouses and logistics facilities. Digit stands approximately 5.3 feet tall and can operate autonomously or semi-autonomously in real-world settings. The robot uses machine learning and computer vision to perceive its environment and execute complex movements. Agility Robotics targets the logistics and warehouse automation sectors, addressing labor shortages and operational efficiency challenges. The company has achieved a $2.1 billion valuation following $641 million in total funding, positioning it among well-capitalized robotics firms. As of its Series C stage, Agility Robotics competes with companies like Boston Dynamics, Tesla's humanoid project, and other bipedal robotics developers. The company's competitive advantage centers on practical industrial deployment rather than research-oriented development. Growth trajectory reflects increasing enterprise interest in warehouse automation and humanoid robotics for material handling tasks. Partnership announcements and pilot deployments indicate expanding market validation, though large-scale commercialization remains in early phases. Agility Robotics focuses on commercially-viable bipedal robots for warehouse automation rather than general-purpose humanoids, differentiating it within the competitive robotics landscape.
Which company was founded first?
Agility Robotics got there first, launching in 2015 — that's 8 years of extra runway. Skild AI didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
Skild AI has about 75 employees; Agility Robotics has about 300. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Skild AI and Agility Robotics competitors?
Yes — they're direct rivals. Both Skild AI and Agility Robotics compete in AI Robotics, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

Skild AI edges ahead with an Awaira Score of 90, but Agility Robotics (80) isn't far behind. The gap is narrow enough that it could shift with the next funding round.

Who Should You Watch?

Skild AI has a slight edge on paper, but Agility Robotics isn't far behind. The AI space moves fast — today's underdog can be tomorrow's category leader. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive