Kyber Labs

Cover Block

PUBLIC

Name	Kyber Labs
Tagline	Building a robotic manipulation platform with artificial muscle fiber actuators for AI-based controls and dexterous tasks.
Headquarters	Brooklyn, United States
Founded	2022
Stage	Seed
Business Model	Hardware + Software
Industry	Deeptech
Technology	Robotics
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Seed (total disclosed ~$1,700,000)

Links

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• Website: https://kyberlabs.ai/
• LinkedIn: https://www.linkedin.com/company/kyber-labs

Executive Summary

PUBLIC Kyber Labs is building a robotic manipulation platform from first principles, using artificial muscle fiber actuators to target the automation of dexterous, unstructured tasks that have eluded traditional industrial systems [Kyber Labs, retrieved 2024]. The company's bet is that a biomimetic hardware layer, designed for AI-based control from the start, is the key to automating high-mix, low-volume manual work and addressing persistent labor shortages [Kyber Labs, retrieved 2024]. Founded in 2022 by Tyler Habowski and Yonatan Robbins, both of whom have backgrounds at SpaceX, the team brings deep hardware and engineering experience to a notoriously difficult deeptech problem [Forbes, 2026]. The company has raised a total of $1.7 million in seed-stage capital from a syndicate that includes Y Combinator, Cortical Ventures, and Endless Frontier Labs, validating early technical promise [PitchBook, 2025]. As of May 2026, Kyber operates with a lean team of seven, actively recruiting for key engineering and marketing roles, indicating a focus on moving from prototype to product [Tracxn, 2026]. Over the next 12-18 months, the critical watchpoints will be the transition from lab demonstrations to initial pilot deployments, the validation of cost and durability claims for its novel actuators, and the articulation of a clear path to its first commercial applications. Data Accuracy: GREEN -- Core company claims and funding total confirmed by PitchBook and company sources; founder backgrounds corroborated by Forbes and LinkedIn.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	Hardware + Software
Industry / Vertical	Deeptech
Technology Type	Robotics
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Seed (total disclosed ~$1,700,000)

Company Overview

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Kyber Labs was founded in 2022 as a Brooklyn-based robotics company, emerging from the Newlab incubator at the Brooklyn Navy Yard [Kyber Labs, retrieved 2024]. The founding team, Tyler Habowski and Yonatan Robbins, brought backgrounds in advanced hardware engineering, with Robbins specifically noted as a SpaceX veteran who worked on flight reusability systems and novel manufacturing methods [Kyber Labs, retrieved 2024]. The company's formation was driven by a focus on building a robotic manipulation platform from the ground up, centered on a novel actuator technology rather than adapting existing industrial robot arms.

Key early milestones include a pre-seed funding round in 2023, which provided initial capital to develop the core artificial muscle fiber technology [Foley Ignite, 2023]. The company subsequently joined the Y Combinator accelerator program, a move that typically coincides with a formal seed investment, though the specific terms of that round are not publicly detailed [Y Combinator]. By mid-2025, the company had raised a total of $1.7 million from a syndicate of early-stage deep tech and frontier technology funds, including Endless Frontier Labs and Cortical Ventures [PitchBook, 2025].

As of May 2026, the company reported an employee count of seven, indicating a small, focused engineering team [Tracxn, 2026]. Public milestones to date are primarily technological, demonstrated through early prototype videos of a dexterous robotic hand, rather than commercial deployments or announced customer partnerships [Forbes, 2026].

Data Accuracy: GREEN -- Founding year, location, and total funding confirmed by PitchBook and company website. Team details corroborated by LinkedIn and company contact page. Employee count sourced from Tracxn.

Product and Technology

MIXED

The core of Kyber Labs is a robotic manipulation platform engineered specifically for AI control, a foundational choice that separates it from retrofitting existing hardware [Kyber Labs, retrieved 2024]. The company's primary technical innovation is its actuator system, which uses artificial muscle fibers designed to mimic the properties of human muscle. This biomimetic approach is intended to enable fluid, compliant, and dexterous movements that are difficult or impossible to achieve with traditional rigid actuators like motors or hydraulics [Kyber Labs, retrieved 2024]. The platform is bimanual, meaning it uses two coordinated arms, and is built for tasks in unstructured environments where minimal pre-programmed setup is required [Kyber Labs, retrieved 2024].

Public demonstrations, such as a video posted in December 2024, show a high-speed robotic hand performing rapid grasping motions [Instagram, December 2024]. The company's stated target is automating "high mix, low volume" work that has resisted traditional automation, explicitly pointing to manual labor shortages as the market driver [Kyber Labs, retrieved 2024]. While no specific customer deployments are named, the technology is described as catering to industries requiring sophisticated automation solutions, which typically includes manufacturing, logistics, and warehousing [CB Insights, 2024].

Current open roles for a Staff Engineer/Tech Lead and a Head of Engineering suggest a continued deep investment in core robotics systems, perception, and AI integration (inferred from job postings) [Y Combinator, retrieved 2026]. The job descriptions point to a stack involving real-time systems, computer vision, and machine learning, though specific tools are not listed publicly.

Data Accuracy: GREEN -- Product claims are directly sourced from company materials and a public demonstration. Technical inferences from job postings are clearly labeled.

Market Research

PUBLIC Kyber Labs targets a segment of the robotics market defined by a persistent gap between the capabilities of traditional industrial automation and the fluid, adaptive intelligence required for human-scale work.

The company's stated focus is on automating "high mix, low volume work that has resisted traditional automation" [Kyber Labs, retrieved 2024]. This points to a serviceable obtainable market (SOM) centered on complex, variable tasks in unstructured environments, such as light assembly, kitting, and parts handling in sectors like electronics, aerospace, and logistics. While Kyber Labs has not published its own market sizing, the broader context is the global labor shortage in manual roles. The U.S. Bureau of Labor Statistics projects employment of assemblers and fabricators to decline slightly through 2032, but notes that automation is increasingly adopted to offset persistent hiring challenges and rising labor costs [BLS, September 2023]. This creates a structural demand driver for solutions that can perform dexterous, non-repetitive work.

Adjacent markets provide useful analogies for sizing the potential. The global collaborative robot (cobot) market, which also aims to work alongside humans in flexible settings, was valued at approximately $1.2 billion in 2023 and is projected to grow to over $11 billion by 2030, according to a Grand View Research report [Grand View Research, 2023]. While cobots represent a different hardware paradigm, their growth trajectory signals strong investor and enterprise appetite for flexible, human-centric automation. The tailwind for Kyber is the convergence of advances in AI perception and control with a new generation of biomimetic actuators, potentially enabling automation in domains where rigid, pre-programmed robots have failed.

Key macro forces shaping this market include supply chain re-shoring initiatives, which increase demand for flexible manufacturing capacity in higher-cost regions, and continued pressure on wage inflation. A regulatory force is the evolving landscape of safety standards for human-robot interaction, which next-generation platforms must navigate. The primary substitute market remains human labor itself, but the economic equation shifts as the technology's capability and cost-effectiveness improve.

Collaborative Robot Market 2023 | 1.2 | $B
Collaborative Robot Market 2030 (projected) | 11.8 | $B

The projected 10x growth in the cobot market over seven years illustrates the scale of capital flowing into flexible automation, providing a relevant, if indirect, benchmark for the category Kyber is entering. The core bet is that a platform built on artificial muscle and AI-native control can capture a portion of this growth by solving a more dexterous subset of tasks.

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous sector report; company-specific TAM/SAM is not publicly disclosed.

Competitive Landscape

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Kyber Labs positions itself as a hardware-first challenger in a robotics market historically defined by rigid industrial arms and, more recently, by software-driven approaches to AI manipulation. The competitive map is best understood by separating the incumbents who own today's automation budgets from the new entrants redefining what dexterous automation can be.

Incumbents and Established Alternatives. The most direct substitutes for Kyber's target use cases are traditional industrial robotic arms from companies like Fanuc, ABB, and KUKA. These systems dominate high-volume, repetitive tasks but are not designed for the fluid, adaptive movements required for high-mix, low-volume work [Kyber Labs, retrieved 2024]. Their competitive advantage is entrenched distribution, proven reliability, and decades of integration expertise. A second layer of incumbents includes collaborative robot (cobot) makers like Universal Robots, which have made programming more accessible but still rely on conventional electric motors and gearboxes, limiting their dexterity and force profile compared to biomimetic actuators.

New Wave and Adjacent Challengers. The competitive field is more crowded among startups aiming to build the next generation of dexterous robots. While no direct, named competitor is cited in Kyber's public materials, the broader landscape includes several well-funded ventures. Companies like Covariant focus on AI-first software for robotic picking, layering intelligence on top of existing hardware from partners. Others, such as Figure AI, are pursuing general-purpose humanoid robots, a more ambitious and capital-intensive path. Kyber's specific wedge is its actuator technology; it competes not just on control algorithms but on a fundamental rethinking of the physical hardware, betting that artificial muscle fibers will enable a superior motion profile for manipulation tasks.

• Defensible edge: Proprietary actuator IP. Kyber's primary claimed advantage is its low-cost artificial muscle fiber actuators, which are designed to mimic human muscle and enable fluid, compliant movement [Kyber Labs, retrieved 2024]. This is a hardware moat that could be durable if the patents are defensible and the manufacturing processes are difficult to replicate. The co-founders' backgrounds in aerospace mechanism design at SpaceX suggest deep expertise in novel mechanical systems, a talent edge in a field where hardware innovation is slow [Forbes, 2026]. However, this edge is perishable. It depends on maintaining a technological lead and scaling production, which requires significant capital that larger, well-resourced competitors could deploy to develop or acquire similar technologies.

• Exposure: Commercialization and ecosystem. Kyber's most significant exposure is its lack of a public commercial footprint or named partnerships. While it has developed a novel actuator, it must still build a full robotic platform, develop the AI control stack, and establish a sales channel. Competitors with established software platforms, like Covariant, could potentially partner with a hardware manufacturer to integrate a similar actuator, leveraging their existing customer relationships and software to commercialize faster. Kyber also does not own a distribution channel, leaving it exposed to competitors who have deeper ties to automotive, electronics, or logistics integrators.

The most plausible 18-month scenario hinges on proof of commercial viability. If Kyber can secure a lighthouse partnership with a major manufacturer or logistics company to deploy its platform in a real-world, high-mix setting, it would validate its technical approach and attract the Series A capital needed to scale. The winner in this scenario would be the company that first demonstrates a clear total cost of ownership advantage for a specific, valuable task. Conversely, the loser would be any player that remains in the lab, unable to translate actuator demonstrations into a reliable, integrated system that solves a customer's pain point at a competitive price. For Kyber, the risk is that a software-focused competitor achieves "good enough" dexterity with off-the-shelf hardware first, capturing the early market before Kyber's hardware advantage can be fully leveraged.

Data Accuracy: YELLOW -- Competitive analysis is inferred from company positioning and general market mapping; no direct competitor comparisons are publicly cited.

Opportunity

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The prize for Kyber Labs is a foundational position in the next generation of industrial automation, replacing rigid, single-purpose robots with a flexible, AI-native platform capable of performing the vast majority of manual tasks that currently resist automation.

The headline opportunity is to become the default manipulation platform for embodied AI in unstructured environments. The evidence supporting this reachable outcome is the company's explicit focus on a specific, unsolved problem: high-mix, low-volume work. This is not a niche but the vast majority of manual labor in manufacturing, logistics, and assembly. The company's cited technology, artificial muscle fiber actuators, is described as enabling fluid, dexterous movement that conventional systems cannot achieve [Kyber Labs, retrieved 2024]. If this hardware breakthrough can be reliably scaled and paired with effective AI controls, it would unlock automation for tasks currently considered too variable or delicate for robots, creating a new category of general-purpose manipulation. The company's positioning as a platform designed from the ground up for AI-based controls suggests a foundational approach, rather than a point solution for a single task.

Kyber's path to scale likely depends on which initial application proves the platform's viability and generates the data and revenue to fund expansion. The following scenarios outline plausible routes.

Scenario	What happens	Catalyst	Why it's plausible
Electronics Assembly	Kyber's dexterous hands become the standard for assembling small, complex components (e.g., smartphones, wearables, medical devices) in high-mix production lines.	A major contract manufacturing partner (e.g., Foxconn, Flex) pilots the system for a new product line.	The target market is defined by manual labor shortages and the need for precision; Kyber's biomimetic approach is cited as enabling natural interactions for delicate tasks [Kyber Labs, retrieved 2024].
Logistics & E-commerce Fulfillment	The platform is deployed for robotic picking and packing of irregular, non-uniform items in warehouses, a notorious automation bottleneck.	A strategic investment or pilot from a major logistics player (e.g., Amazon Robotics, DHL) seeking next-gen automation.	The company explicitly targets tasks that have resisted traditional automation [Kyber Labs, retrieved 2024]; fulfillment centers represent a massive, well-funded market desperate for flexible solutions.
The "Robotic App Store"	Kyber's hardware platform becomes a standard, with a thriving ecosystem of third-party developers creating specialized AI skill models for thousands of different manipulation tasks.	The release of a robust software development kit (SDK) and simulator, attracting research labs and AI startups.	Building the platform for AI-based controls is a core stated design principle [Kyber Labs, retrieved 2024], which naturally lends itself to an ecosystem model if the hardware achieves sufficient adoption.

Compounding for Kyber would manifest as a data and ecosystem flywheel. Each deployed robot arm generates unique sensorimotor data from interacting with physical objects in the real world. This dataset, focused on dexterous manipulation, would become increasingly valuable for training more robust and generalizable AI control models. Better models would improve the performance and reliability of the platform, attracting more customers and developers. Those developers, in turn, would create new applications and skills, expanding the platform's utility and creating a software moat around the hardware. While there is no public evidence of this flywheel in motion yet, the company's AI-first architecture suggests the intent to build toward it.

Quantifying the size of the win requires looking at comparable companies that have captured significant value in adjacent automation spaces. Boston Dynamics, for instance, was acquired by Hyundai for $1.1 billion in 2021 [Bloomberg, June 2021], valuing its advanced, general-purpose robotics technology. More directly, companies like Covariant, which focuses on AI for robotic picking, have raised hundreds of millions at valuations reportedly over $1 billion [The Information, March 2024], demonstrating the premium placed on software that enables robots to handle variability. If Kyber's scenario of becoming the default manipulation platform plays out, its value could approach or exceed these benchmarks, given the potentially broader applicability of its hardware-software stack. This represents a scenario, not a forecast, but it anchors the potential upside in observable market transactions.

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated technological goals and target markets, which are well-cited. The growth scenarios and comparables are plausible extrapolations, but lack direct public evidence of progress toward them.

Sources

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1. [Kyber Labs, retrieved 2024] Kyber Labs | https://kyberlabs.ai/

2. [PitchBook, 2025] Kyber Labs 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/534548-80

3. [Forbes, 2026] These Robot Hands Can Literally Make You An Egg Scramble Breakfast | https://www.forbes.com/sites/johnkoetsier/2026/05/06/these-robot-hands-can-literally-make-you-an-egg-scramble-breakfast/

4. [Tracxn, 2026] Kyber Labs | https://tracxn.com/d/companies/kyber-labs

5. [Foley Ignite, 2023] Kyber Labs Pre-Seed | https://www.foleyignite.com/company/kyber-labs

6. [Y Combinator] Y Combinator Companies | https://www.ycombinator.com/companies/kyber

7. [Instagram, December 2024] Kyber Labs' Super-Fast Robot Hand Grabs Attention | https://www.instagram.com/p/DReqOFFDYcQ/

8. [CB Insights, 2024] Kyber Labs | https://www.cbinsights.com/company/kyber-labs

9. [BLS, September 2023] Occupational Outlook Handbook: Assemblers and Fabricators | https://www.bls.gov/ooh/production/assemblers-and-fabricators.htm

10. [Grand View Research, 2023] Collaborative Robot Market Size Report, 2023-2030 | https://www.grandviewresearch.com/industry-analysis/collaborative-robots-market

11. [Bloomberg, June 2021] Hyundai Completes $1.1 Billion Acquisition of Boston Dynamics | https://www.bloomberg.com/news/articles/2021-06-21/hyundai-completes-1-1-billion-acquisition-of-boston-dynamics

12. [The Information, March 2024] Covariant Raises $75 Million at $1 Billion-Plus Valuation | https://www.theinformation.com/articles/covariant-raises-75-million-at-1-billion-plus-valuation