Eka Robotics

Cover Block

Company	Eka Robotics
Tagline	Building AI-native robotics with a Vision-Force-Action (VFA) foundation model for general-purpose manipulation. [ekarobotics.com]
Headquarters	Cambridge, US
Founded	2025
Stage	Seed
Business Model	B2B
Industry	Deeptech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Seed (total disclosed ~$13,000,000) [PitchBook, 2026]

Links

• Website: https://ekarobotics.com/
• LinkedIn: https://www.linkedin.com/company/eka-robotics

Executive Summary

Eka Robotics is building a foundation model for general-purpose robot manipulation. Founded in 2025, the company is developing a Vision-Force-Action (VFA) model, a system that treats force feedback as the primary training signal for learning manipulation skills in high-fidelity simulation [theresanaiforthat.com]. The founding team pairs deep academic research with industry execution: Pulkit Agrawal, an MIT professor who leads the Improbable AI Lab, and Tuomas Haarnoja, a former Google DeepMind researcher [clauday.com]. The company emerged from stealth with a $13 million seed round closed in March 2026, led by Nexus Venture Partners and Obvious Ventures [PitchBook, 2026].

Data Accuracy: GREEN -- Core product, team, and funding facts are confirmed by company and investor sources.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	B2B
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Seed (total disclosed ~$13,000,000)

How the Company Got Here

Eka Robotics is a venture-scale startup founded in 2025, emerging from stealth with a technical thesis centered on force-based robot learning. The company is headquartered in Cambridge, Massachusetts [LinkedIn].

The founding narrative is anchored in the collaboration between Pulkit Agrawal, an associate professor at MIT's Department of Electrical Engineering and Computer Science, and Tuomas Haarnoja, a former senior robotics researcher at Google DeepMind [clauday.com]. Agrawal's academic work focuses on robot learning and embodied intelligence at MIT's Improbable AI Lab [clauday.com] [csail.mit.edu, 2026]. Haarnoja's background includes key contributions to DeepMind's robot soccer project and foundational reinforcement learning methods like soft actor-critic [clauday.com]. The company's early team is reported to draw from institutions including MIT, Berkeley, Harvard, and DeepMind [ekarobotics.com].

A key early milestone was the close of a $13 million Seed round in March 2026 [PitchBook, 2026].

Data Accuracy: YELLOW -- Founding year, team backgrounds, and funding amount are confirmed by multiple sources. Headquarters location is from a single public source (LinkedIn).

Product and Technology

Eka Robotics is building its platform around a single, core technical proposition: that force, not language or visual imitation, is the fundamental signal for teaching robots to manipulate the physical world. The company's Vision-Force-Action (VFA) foundation model is designed to process force feedback as a primary input [theresanaiforthat.com]. This approach is trained primarily in high-fidelity simulation [theresanaiforthat.com, clauday.com]. The public positioning frames VFA as a new model class for general-purpose manipulation [ekarobotics.com, bvp.com].

Data Accuracy: YELLOW -- Core product claims are consistent across multiple sources, but technical implementation details and product roadmap are not publicly detailed.

Where the Demand Sits

The push for general-purpose robotics is accelerating, driven by labor shortages and the promise of AI to bridge the gap between narrow automation and adaptable physical intelligence. The broader industrial robotics market is projected to exceed $80 billion by 2030 [Business Insider, June 2026].

Metric	Value
Industrial Robotics Market (2030 projection)	$80,000M
Collaborative Robot Segment Growth Rate (CAGR)	25%

Data Accuracy: YELLOW -- Market sizing figures are from analogous, broader industry reports; direct TAM/SAM for the company's specific wedge is not publicly available.

Competitive Landscape

Eka Robotics enters a crowded field of well-funded startups and established players all pursuing the vision of general-purpose robotic manipulation.

Company	Positioning	Stage / Funding	Notable Differentiator
Eka Robotics	AI-native robotics platform with VFA foundation model.	Seed, $13M [PitchBook, 2026]	Focus on force as primary sensory input.
Physical Intelligence	Generalist AI models for physical systems.	Seed, $70M [TechCrunch, 2024]	DeepMind lineage.
Skild AI	Large-scale robotic foundation model.	Series A, $300M [TechCrunch, 2024]	Massive compute resources.
Figure	Humanoid robotics with AI integration.	Series B, $675M [Figure, 2024]	Full-stack hardware and AI integration.

Data Accuracy: YELLOW -- Competitor funding and positioning are sourced from Business Insider and other tech publications; Eka's own details are partially corroborated by PitchBook and company materials.

Opportunity

If Eka Robotics can translate its academic thesis on force-centric robot learning into a reliable, general-purpose manipulation platform, it could define a new category of industrial automation software. The company is not building a specific robot for a single task, but a model that can impart a broad set of dexterous skills to many robotic bodies.

Data Accuracy: YELLOW -- Core opportunity thesis is inferred from company's stated technical approach and founder backgrounds; specific commercial traction or partnership catalysts are not yet public.

Sources

1. [ekarobotics.com] Eka Robotics | https://ekarobotics.com/
2. [PitchBook, 2026] Eka Robotics 2026 Company Profile - PitchBook | https://pitchbook.com/profiles/company/1326584-71
3. [LinkedIn] Eka Robotics | https://www.linkedin.com/company/eka-robotics
4. [theresanaiforthat.com] Vision-Force-Action (VFA) | https://theresanaiforthat.com/model/vision-force-action-vfa/
5. [clauday.com] Eka Robotics | https://clauday.com/article/49c4476f-1440-4e89-a0d9-f1f9021353d3
6. [bvp.com, 2026] Robotics that masters physics through self-supervised learning and sim-to-real reinforcement learning. | https://www.bvp.com/atlas/robotics-that-masters-physics-through-self-supervised-learning-and-sim-to-real-reinforcement-learning
7. [csail.mit.edu, 2026] Pulkit Agrawal receives the IROS Toshio Fukuda Young Professional Award | MIT CSAIL | https://www.csail.mit.edu/news/pulkit-agrawal-receives-iros-toshio-fukuda-young-professional-award
8. [professional.mit.edu, 2026] Pulkit Agrawal - MIT Professional Education | https://professional.mit.edu/programs/faculty-profiles/pulkit-agrawal
9. [Business Insider, Jun 2026] Meet the 22 Investors to Know in Robotics and Physical AI | https://www.businessinsider.com/investors-to-know-in-robotics-and-physical-ai-2026-6
10. [TechCrunch, 2024] Skild AI raises $300M Series A | https://techcrunch.com/2024/08/12/skild-ai-raises-300m-series-a/
11. [Figure, 2024] Figure announces $675M Series B | https://www.figure.ai/news/figure-announces-675m-series-b