Overall Winner: Dexterity AI·72/ 100

Dexterity AI vs Serve Robotics

In-depth comparison — valuation, funding, investors, founders & more

Winner
D
Dexterity AI

🇺🇸 United States · Samir Menon

Series CAI RoboticsEst. 2017

Valuation

$1.7B

Total Funding

$300M

72
Awaira Score72/100

150 employees

Full Dexterity AI Profile →
S
Serve Robotics

🇺🇸 United States · Ali Kashani

PublicAI RoboticsEst. 2017

Valuation

N/A

Total Funding

$60M

60
Awaira Score60/100

50-200 employees

Full Serve Robotics Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Dexterity AI and Serve Robotics compete directly in the AI Robotics space, making this a head-to-head matchup within the same market segment. Dexterity AI develops artificial intelligence and robotic systems for warehouse automation and logistics operations. Serve Robotics builds AI-powered sidewalk delivery robots designed to autonomously navigate urban environments and complete last-mile food and package delivery for restaurants and retailers.

Dexterity AI carries a known valuation of $1.7B, while Serve Robotics's valuation has not been publicly disclosed. On the funding side, Dexterity AI has raised $300M in total — $240M more than Serve Robotics's $60M.

Both companies were founded in 2017, giving them the same market tenure. In terms of growth stage, Dexterity AI is at Series C while Serve Robotics is at Public — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, Dexterity AI leads with a score of 72, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricDexterity AIServe Robotics
💰Valuation
$1.7B
N/A
📈Total Funding
$300MWINS
$60M
📅Founded
2017
2017
🚀Stage
Series C
Public
👥Employees
150
50-200
🌍Country
United States
United States
🏷️Category
AI Robotics
AI Robotics
Awaira Score
72WINS
60

Key Differences

📈

Funding gap: Dexterity AI has raised $240M more ($300M vs $60M)

🚀

Growth stage: Dexterity AI is at Series C vs Serve Robotics at Public

👥

Team size: Dexterity AI has 150 employees vs Serve Robotics's 50-200

⚔️

Direct competitors: Both operate in the AI Robotics market segment

Awaira Score: Dexterity AI scores 72/100 vs Serve Robotics's 60/100

Which Should You Choose?

Use these signals to make the right call

D

Choose Dexterity AI if…

Top Pick
  • Higher Awaira Score — 72/100 vs 60/100
  • More established by valuation ($1.7B)
  • Stronger investor backing — raised $300M
  • Dexterity AI develops artificial intelligence and robotic systems for warehouse automation and logistics operations
S

Choose Serve Robotics if…

  • Serve Robotics builds AI-powered sidewalk delivery robots designed to autonomously navigate urban environments and complete last-mile food and package delivery for restaurants and retailers

Funding History

Dexterity AI raised $300M across 4 rounds. Serve Robotics raised $60M across 0 rounds.

Dexterity AI

Series C

Jan 2023

$220M

Series B

Jan 2021

$50M

Series A

Jan 2019

$25M

Seed

Jan 2017

$5M

Serve Robotics

No public funding data available.

Investor Comparison

No shared investors detected between these two companies.

Unique to Dexterity AI

Menlo VenturesSpark Capital

Users Also Compare

FAQ — Dexterity AI vs Serve Robotics

Is Dexterity AI bigger than Serve Robotics?
Dexterity AI has a disclosed valuation of $1.7B, while Serve Robotics's valuation is not publicly available, making a direct size comparison difficult. Dexterity AI employs 150 people.
Which company raised more funding — Dexterity AI or Serve Robotics?
Dexterity AI has raised more in total funding at $300M, compared to Serve Robotics's $60M — a gap of $240M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Dexterity AI holds the higher Awaira Score at 72/100, compared to Serve Robotics's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded Dexterity AI vs Serve Robotics?
Dexterity AI was founded by Samir Menon in 2017. Serve Robotics was founded by Ali Kashani in 2017. Visit each company's profile on Awaira for a full founder biography.
What does Dexterity AI do vs Serve Robotics?
Dexterity AI: Dexterity AI develops artificial intelligence and robotic systems for warehouse automation and logistics operations. Founded in 2017, the company specializes in computer vision and machine learning technologies that enable robots to perform complex manipulation tasks, particularly in e-commerce fulfillment and material handling environments. The company's core technology focuses on perception systems and AI algorithms that allow robotic arms to identify, grasp, and sort items with varying shapes, sizes, and materials—tasks traditionally requiring human workers. Dexterity AI has raised $300 million in total funding and achieved a $1.6 billion valuation, indicating strong investor confidence in the logistics automation sector. The company operates at Series C stage, positioning it among mature venture-backed robotics firms competing in a growing market for warehouse automation solutions. Its technology addresses labor shortages and operational efficiency challenges facing large-scale logistics operations, with applications extending across e-commerce fulfillment, parcel sorting, and supply chain optimization. The company competes with other robotics and automation firms targeting similar warehouse use cases. Dexterity AI's growth trajectory reflects broader industry trends toward increased automation adoption in logistics and supply chain sectors. The firm's focus on practical, deployable automation solutions for real-world warehouse challenges differentiates its approach from more experimental robotics research initiatives. Dexterity AI combines advanced computer vision with robotic manipulation to automate unstructured tasks in logistics that competitors have historically struggled to solve. Serve Robotics: Serve Robotics builds AI-powered sidewalk delivery robots designed to autonomously navigate urban environments and complete last-mile food and package delivery for restaurants and retailers. The robots operate on public sidewalks using a combination of computer vision, sensor fusion, and autonomous navigation software to complete deliveries without human remote operation.\n\nThe company is publicly traded on NASDAQ under the ticker SERV and raised approximately 60 million USD prior to listing. Serve has a commercial deployment agreement with Uber Eats and has operated its robot fleet in Los Angeles and other US cities with favorable sidewalk robot regulations. The company spun out of Postmates before being acquired and then spun out again as an independent entity.\n\nSidewalk delivery robotics is at an early commercial stage, with regulatory frameworks in most US cities still being established for autonomous sidewalk vehicles. Serve Robotics holds a first-mover advantage in the urban sidewalk delivery segment and benefits from its integration with the Uber Eats order network, providing a consistent demand source that standalone delivery robot operators without platform partnerships cannot access.
Which company was founded first?
Both Dexterity AI and Serve Robotics were founded in the same year — 2017. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.
Which company has more employees?
Dexterity AI has approximately 150 employees, while Serve Robotics has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Dexterity AI and Serve Robotics competitors?
Yes, Dexterity AI and Serve Robotics are direct competitors — both operate in the AI Robotics space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.