Skylark Labs
Develops edge-native, self-learning AI for physical systems, primarily for defense, public safety, and critical infrastructure.
Website: https://skylarklabs.ai/
Cover Block
Public sources
| Field | Value |
|---|---|
| Name | Skylark Labs |
| Tagline | Develops edge-native, self-learning AI for physical systems, primarily for defense, public safety, and critical infrastructure [skylarklabs.ai, retrieved] |
| Headquarters | Palo Alto, California, United States [Crunchbase] |
| Founded | 2018 [Crunchbase] |
| Stage | Seed [Crunchbase] |
| Business model | Hardware + Software [Crunchbase] |
| Industry | Defense / Govtech [Crunchbase] |
| Technology | AI / Machine Learning [Crunchbase] |
| Geography | North America [Crunchbase] |
| Growth profile | Venture Scale [Crunchbase] |
| Founding team | Solo Founder [Crunchbase] |
| Funding label | Undisclosed [Tracxn, retrieved 2026] |
Links
Public sources
- Website: https://skylarklabs.ai/
- Other: https://skylarklabs.ai/about-us.html
Executive Summary
PUBLIC Skylark Labs builds edge-native AI systems for physical machines, with current public evidence pointing to defense, public safety, and infrastructure as the main commercial wedge, and it merits investor attention because recent contract and order activity suggests the company is moving from technical positioning into fielded programs [IndiaAI, July 2022] [PR Newswire, June 2024] [Business Insider Markets, August 2026]. Founded in 2018 and based in Palo Alto, the company has been framed publicly around adaptive AI that operates on-device in connectivity-constrained environments, a useful posture for military, aviation, and industrial use cases where latency, bandwidth, and data control matter more than consumer-scale model performance [IndiaAI, July 2022] [skylarklabs.ai] [Aviation International News, March 2026]. Publicly cited proof points are still uneven, but they include entry into Monkton's MATTER SBIR Phase III IDIQ, a $500 million U.S. Space Force contract vehicle, and a reported $4 million initial ARIES order for 20 counter-UAS systems under a Hexadyne-led Gulf Cooperation Council program with potential program value up to $32 million [PR Newswire, June 2024] [KGET, June 2024] [Business Insider Markets, August 2026] [The AI Journal, August 2026].
The product story centers on self-learning AI deployed at the edge for counter-UAS, airfield and debris monitoring, robotics, and broader physical security workflows, with a newer public emphasis on CFAM, which the company and trade coverage describe as a learning system for multiple robotic form factors after deployment [skylarklabs.ai] [PR Newswire, March 2026] [Robotics and Automation News, September 2026]. That differentiation is plausible, but investors should treat it as partially verified rather than settled, since some capability claims rest on company materials while the stronger third-party evidence today is around specific demonstrations such as foreign object debris detection aboard an Indian Navy aircraft carrier and reported airport deployments after that test [PR Newswire, March 2026] [Yahoo Finance, March 2026] [FODNews, March 2026]. On team quality, the public record clearly supports Amarjot Singh as founder and CEO, while broader claims about his Cambridge, Stanford, and DARPA background appear in secondary profiles and interviews rather than in a dense set of independent records; separately, Skylark has added operating and defense credibility through Vince Nakayama and a defense advisory board that includes John Donovan [LinkedIn] [IndiaAI, July 2022] [Business Insider Markets, August 2026] [skylarklabs.ai, September 2025] [PR Newswire, March 2025].
Capital formation is less clear than product momentum: Crunchbase and Tracxn show early financing activity without disclosed amounts, Fundz reported a $150 million venture round in July 2026, and Whalesbook separately reported that roughly 70 percent of commitments were secured for a $150 million raise targeting a $1 billion valuation, which is directionally notable but not yet corroborated at the level usually preferred for underwriting [Crunchbase] [Tracxn, retrieved 2026] [Fundz, July 2026] [Whalesbook]. The business model appears to be a hardware-plus-software sale into defense and industrial buyers, and the next 12 to 18 months will likely hinge on whether Skylark can convert pilots, contract vehicles, and point orders into repeatable production deployments across counter-drone, airfield safety, and robotics programs, while substantiating that its learning-on-device claims translate into procurement-grade performance and integration durability [IndiaAI, July 2022] [PR Newswire, June 2024] [Business Insider Markets, August 2026].
Lightly corroborated -- This section combines corroborated public reporting on contract vehicle entry, order activity, and named personnel with company-sourced and single-source claims on product breadth and funding.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry / Vertical | Defense / Govtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding | Undisclosed |
How the Company Got Here
PUBLIC
Skylark Labs presents as a 2018-founded Palo Alto company building AI systems for machines that operate in the physical world, a framing that matters because the public record is clearer on the company’s positioning and location than on its capitalization [Crunchbase] [skylarklabs.ai, retrieved]. Crunchbase lists Skylark Labs as headquartered in Palo Alto, California, and founded in 2018, while the company site describes the business as focused on continuous-learning AI for physical machines and robotics [Crunchbase] [skylarklabs.ai, retrieved].
The visible chronology is still fairly lean, but a few milestones are clear from company-controlled sources. The company website establishes the current operating identity and product orientation, and by September 2025 Skylark was publicly broadening its defense-facing profile through the addition of John Donovan to its defense advisory board, according to the company’s about page and announcement materials hosted on its site [skylarklabs.ai, retrieved] [skylarklabs.ai, September 2025]. By 2026, the same site was describing CFAM as an AI system intended for humanoids, drones, robots, and ground vehicles that continues learning after deployment, which suggests a shift from point solutions toward a broader platform narrative, though that remains company-described positioning rather than independently verified adoption [skylarklabs.ai, retrieved 2026].
Company-stated, unverified -- This section relies primarily on Crunchbase for founding and headquarters data and on the company website for chronology and positioning.
Product and Technology
Product and Technology
MIXED Skylark Labs is positioning around adaptive AI that runs on physical machines rather than in a cloud workflow, and the public record is strongest where that claim meets a named deployment. The company describes its core approach as self-learning, edge-based AI for defense, public safety, transportation, and critical infrastructure use cases [skylarklabs.ai]. Independent reporting and publisher-distributed releases point to a product surface that includes counter-UAS systems, airfield and foreign-object-debris monitoring, drone-enabled safety monitoring, and broader robotics applications, although the underlying technical architecture remains described at a high level in public materials rather than through detailed model or systems documentation [IndiaAI, July 2022] [PR Newswire, March 2026] [Business Insider Markets, August 2026].
The clearest verified demonstration is the company’s fixed foreign-object-debris detection system aboard an Indian Navy aircraft carrier in March 2026, which multiple sources describe as continuous autonomous deck monitoring in a demanding naval aviation setting [PR Newswire, March 2026] [Yahoo Finance, March 2026] [TDN, March 2026]. Aviation International News added useful implementation detail, reporting that a fixed camera feeds live imagery to a ground-staff dashboard while the software detects, classifies, and prioritizes debris for removal [Aviation International News, March 2026]. That matters because it moves the product from category language into an observable workflow: fixed sensing, on-site analysis, operator interface, and action prioritization.
A second layer of evidence suggests Skylark is trying to generalize that software beyond one sensor stack or one machine type. Public company materials say it is building CFAM, described as an AI control layer for humanoids, drones, robots, and ground vehicles that continues learning after deployment [skylarklabs.ai, retrieved]. Robotics and Automation News reported in September 2026 that CFAM had been tested across five physical system types, including a manipulator, quadruped, humanoid, quadrotor, and off-road vehicle, and that the system is intended to keep learning post-deployment [Robotics and Automation News, September 2026]. The public evidence supports a credible thesis around edge autonomy and adaptive perception, but it does not yet give outside investors enough detail to assess model performance, retraining boundaries, safety constraints, or how much of the stack is software-only versus tightly coupled to Skylark hardware.
Lightly corroborated -- Product positioning is supported by company materials and named-publisher coverage, while the strongest technical validation comes from the Indian Navy FOD demonstration corroborated by multiple sources.
Where the Demand Sits
PUBLIC
The market matters now because Skylark sits at the overlap of two spending priorities that have moved from pilot budgets toward programmatic budgets: autonomy at the tactical edge and AI-enabled monitoring for critical infrastructure [PR Newswire, June 2024] [Business Insider Markets, August 2026].
The public record here is thinner than investors would want, and that matters. There is no cited third-party TAM, SAM, or SOM specific to Skylark’s product scope in the supplied research, so the cleaner way to frame market size is through adjacent, evidenced budget pools rather than manufactured precision. The clearest public demand signal is not equity funding but access to large procurement channels: Skylark entered Monkton’s MATTER SBIR Phase III IDIQ, a U.S. Space Force contract vehicle with a stated ceiling of $500 million, aimed at commercializing mobile tactical-edge capabilities [PR Newswire, June 2024] [KGET, June 2024]. That ceiling is not Skylark’s addressable revenue, but it does establish that edge AI for defense use cases is attached to a real federal spend category rather than an experimental one [PR Newswire, June 2024].
Commercial and dual-use demand appears to come from a second budget pool: safety, compliance, and operational monitoring in large physical environments. Skylark has publicly tied its systems to campus monitoring with Coca-Cola and to accident hotspot detection with Mercedes-Benz Research and Development India, while also announcing contracts with Adani Group around drone-operation safety and compliance across infrastructure sites [skylarklabs.ai] [PR Newswire, December 2024] [PR Newswire, March 2026]. None of those items discloses contract value, deployment scale, or renewal cadence, so they should be read as evidence of cross-vertical applicability rather than proof of a fully formed commercial market.
The numeric picture that can be cited cleanly is narrow but still useful.
| Cited market or budget proxy | Figure | Relevance to Skylark |
|---|---|---|
| MATTER SBIR Phase III IDIQ ceiling | $500M | Defense procurement channel for tactical-edge capabilities, where Skylark was announced as an entrant [PR Newswire, June 2024] [KGET, June 2024] |
| Hexadyne-led GCC counter-UAS program ceiling | Up to $32M | Counter-UAS program under which Skylark announced an initial ARIES order [Business Insider Markets, August 2026] [The AI Journal, August 2026] |
| Initial ARIES order | $4M | Shows early monetization inside the larger counter-UAS program [Business Insider Markets, August 2026] [The AI Journal, August 2026] |
These figures point to a market structure built around program access and use-case expansion, not broad-based software seats. For investors, that usually implies longer sales cycles, concentrated buyers, and a need to separate contract vehicle eligibility from contracted revenue.
Demand drivers are easier to identify than market size. First, defense customers increasingly want systems that can operate with degraded connectivity, lower latency, and tighter data control, which aligns with Skylark’s repeated emphasis on on-device or edge deployment for physical systems [IndiaAI, July 2022] [Aviation International News, March 2026]. Second, the rise of counter-UAS, airfield safety, and perimeter monitoring creates more operational settings where machine perception has to work in real time and in contested environments [Business Insider Markets, August 2026] [PR Newswire, March 2026]. Third, industrial and transportation operators continue to fund automation around safety and compliance, which helps explain why the company’s public references span defense, airports, manufacturing campuses, and infrastructure operators rather than a single end market [PR Newswire, December 2024] [skylarklabs.ai].
The adjacent markets are also material because Skylark’s current positioning is broad by design. The company shows up in at least four linked categories in the public record: counter-UAS and defense robotics, foreign object debris detection and airfield safety, infrastructure surveillance, and enterprise safety monitoring for large campuses or industrial sites [Business Insider Markets, August 2026] [Yahoo Finance, March 2026] [PR Newswire, December 2024]. That breadth can be an asset if the core perception and adaptation layer transfers across environments, but it also means Skylark is selling into markets with different buyers, certifications, procurement timelines, and incumbent competitors.
Regulation and macro forces are supportive in a practical, not abstract, sense. Defense modernization programs continue to create openings for nontraditional vendors through vehicles such as SBIR Phase III pathways, which can shorten the route from prototype to field deployment if a company clears technical and procurement hurdles [PR Newswire, June 2024]. At the same time, higher geopolitical concern around drones, base security, and infrastructure resilience supports budget continuity for systems tied to detection, monitoring, and response [Business Insider Markets, August 2026] [International Business Times, August 2026]. The constraint is that regulated buyers usually demand evidence of reliability in mission conditions, so category growth does not automatically translate into scalable share for newer vendors.
Lightly corroborated -- This section relies on two independently cited program and order figures from PR Newswire, KGET, Business Insider Markets, and The AI Journal, but it lacks third-party TAM research and includes some company-originated commercial partnership claims.
Competitive Landscape
Market map
MIXED Skylark Labs is positioning itself less as a general AI software vendor and more as an edge autonomy supplier for physical systems, which puts it in partial competition with defense robotics builders, industrial vision vendors, and applied computer-vision platforms rather than with one clean peer set [skylarklabs.ai] [LinkedIn] [Tracxn, retrieved 2026].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Skylark Labs | Edge-native, self-learning AI for physical systems across defense, public safety, transportation, and critical infrastructure | Seed; undisclosed rounds reported in 2023 and a $150M venture round reported in July 2026 | Claimed focus on on-device adaptation for drones, counter-UAS, FOD detection, and broader physical autonomy workloads | [Crunchbase] [Tracxn, retrieved 2026] [Fundz, July 2026] [skylarklabs.ai] |
| True Anomaly | Defense technology company named in structured research as a competitor | Funding details not used in this section due to lack of source-grounded support in the provided materials | Competes more directly for defense and national security autonomy budgets than for enterprise safety monitoring use cases | [Tracxn, retrieved 2026] |
| Saronic | Defense autonomy company named in structured research as a competitor | Funding details not used in this section due to lack of source-grounded support in the provided materials | Exposure to defense procurement channels appears closer to maritime and autonomous vehicle programs than to Skylark's mixed defense and infrastructure posture | [Tracxn, retrieved 2026] |
| LandingAI | Applied computer-vision company named in structured research as a competitor | Funding details not used in this section due to lack of source-grounded support in the provided materials | Represents an adjacent substitute in industrial inspection and edge vision rather than a pure defense robotics peer | [Tracxn, retrieved 2026] |
| Scenera, Inc. | Edge AI and vision infrastructure company named in structured research as a competitor | Funding details not used in this section due to lack of source-grounded support in the provided materials | More infrastructure- and platform-oriented, which matters in deployments where orchestration and camera networks matter more than adaptive autonomy | [Tracxn, retrieved 2026] |
The table points to a fragmented field. Two of the named rivals, True Anomaly and Saronic, sit closer to defense prime adjacency, where program access, hardware integration, and procurement credibility matter most [Tracxn, retrieved 2026]. LandingAI and Scenera are a different kind of threat, because they can satisfy portions of the same budget line through machine vision, edge analytics, or inspection workflows without selling a full autonomy stack [Tracxn, retrieved 2026].
That segmentation matters because Skylark's public footprint spans several buying centers at once. Its cited work includes entry into Monkton's MATTER SBIR Phase III IDIQ with the U.S. Space Force, a $4 million ARIES order for 20 counter-UAS systems under a Hexadyne-led GCC program, a foreign object debris detection demonstration aboard an Indian Navy aircraft carrier, and commercial collaborations with Mercedes-Benz Research and Development India and Coca-Cola [KGET, June 2024] [Business Insider Markets, August 2026] [PR Newswire, March 2026] [Yahoo Finance, December 2024] [skylarklabs.ai]. That breadth is commercially useful, but it also means Skylark is not yet clearly boxed into one category where it obviously owns the channel.
Edge and durability
MIXED Skylark's clearest edge today is not scale, but fit for hard environments where connectivity, latency, or operating conditions limit conventional cloud-first AI approaches [skylarklabs.ai] [Aviation International News, March 2026].
The evidence for that edge is strongest where the company has disclosed real deployments or contract vehicles tied to physical safety and defense. The Indian Navy carrier FOD demonstration, and subsequent reported commercial-airport deployments, suggest the company can package computer vision into a fieldable monitoring product rather than a lab model [PR Newswire, March 2026] [TDN, March 2026] [FODNews, March 2026]. The ARIES order under the Hexadyne-led program shows similar movement from positioning into paid defense hardware-software delivery, even if the initial order size remains modest relative to large defense programs [Business Insider Markets, August 2026] [The AI Journal, August 2026].
The durability of that edge is mixed. Domain data from carrier decks, airfields, counter-UAS environments, and infrastructure sites can compound into a meaningful moat if Skylark keeps shipping systems into production and retraining from field conditions [PR Newswire, March 2026] [Business Insider Markets, August 2026] [Yahoo Finance, December 2024]. Still, much of the company's broader differentiation language, especially around self-learning and post-deployment adaptation across many robot types, remains company-described or lightly corroborated, which makes the moat more perishable than proven at this stage [skylarklabs.ai] [Robotics and Automation News, September 2026].
Pressure points
MIXED The main competitive risk is that better-capitalized or more category-focused rivals may be easier for buyers to underwrite than a company spanning defense, industrial safety, and embodied AI at the same time [Fundz, July 2026] [Tracxn, retrieved 2026].
True Anomaly and Saronic are the most obvious pressure points among the named competitors because they map more neatly to defense autonomy procurement, where focus can matter as much as technical quality [Tracxn, retrieved 2026]. If a buyer wants a mission-specific autonomy platform with a crisp program narrative, Skylark's broader positioning across counter-drone, FOD detection, infrastructure surveillance, and humanoid or robotic learning systems may read as optionality to some customers and lack of specialization to others [skylarklabs.ai] [Robotics and Automation News, September 2026].
LandingAI and Scenera create a different exposure. In commercial settings such as workplace safety, compliance monitoring, and industrial vision, a customer may not need self-learning autonomy at all, and could instead buy a narrower inspection or edge-vision stack with lower integration burden [Tracxn, retrieved 2026] [Yahoo Finance, December 2024] [skylarklabs.ai]. That leaves Skylark most exposed in segments where the operational problem can be solved by conventional computer vision, and least exposed where adaptation at the edge is a true requirement rather than a feature request.
Eighteen-month scenario
MIXED The next 18 months likely turn on whether Skylark can convert scattered proof points into a repeatable program and partnership motion across defense and critical infrastructure [Business Insider Markets, August 2026] [KGET, June 2024] [PR Newswire, March 2026].
The most plausible positive scenario is one in which Skylark becomes a niche winner in edge defense perception and safety systems, helped by the Hexadyne relationship, the MATTER contract vehicle, and referenceability from naval and infrastructure deployments [Business Insider Markets, August 2026] [KGET, June 2024] [PR Newswire, March 2026]. In that outcome, LandingAI is the clearer loser if enterprise buyers decide that on-device adaptation in regulated or connectivity-constrained environments matters more than a general industrial vision toolkit [Tracxn, retrieved 2026] [Aviation International News, March 2026].
The less favorable scenario is one in which defense budgets consolidate around more tightly defined autonomy primes and commercial buyers choose simpler inspection stacks. In that case, Saronic or True Anomaly would be better positioned to win if procurement favors category purity and larger program narratives, while Skylark would risk remaining a technically interesting supplier with uneven channel ownership [Tracxn, retrieved 2026] [Fundz, July 2026].
Lightly corroborated -- Competitive names are grounded in Tracxn, while most comparative positioning is analytical inference from public company materials and reported contracts rather than like-for-like independent benchmarking.
Opportunity
PUBLIC The prize here is unusually large if Skylark Labs can turn a set of point deployments and defense-adjacent wins into a repeatable control layer for physical systems that need on-device perception and adaptation in constrained environments.
The clearest upside case is not that Skylark becomes a single-product defense contractor. It is that the company becomes a cross-domain software and systems platform for edge AI in machines that move, monitor, and respond in the physical world. Public evidence supports at least the outline of that path. Skylark has shown activity across counter-UAS, airfield and deck safety, infrastructure surveillance, and commercial safety programs, while describing a common technical thread around self-learning AI operating on-device rather than depending on constant connectivity [PR Newswire, June 2024] [PR Newswire, March 2026] [Business Insider Markets, August 2026] [Yahoo Finance, December 2024] [Robotics and Automation News, September 2026]. That matters because buyers in defense, aviation, and critical infrastructure often care less about a model brand than about whether the system works in bandwidth-limited, safety-critical environments. If Skylark can keep packaging that capability into adjacent products, the reachable outcome is a default autonomy stack for selected defense and industrial use cases, not merely a collection of pilots.
The public record still reads early, but there are several plausible paths to scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Defense systems-of-record wedge | Skylark converts contract-vehicle access and initial counter-UAS orders into a broader program base across U.S. and allied defense buyers | The June 2024 entry into Monkton's MATTER SBIR Phase III IDIQ and the August 2026 ARIES order create a bridge from eligibility to procurement volume [PR Newswire, June 2024] [KGET, June 2024] [Business Insider Markets, August 2026] | The company already has a cited $4 million order for 20 systems under a program worth up to $32 million, which suggests procurement has moved beyond concept-stage positioning [Business Insider Markets, August 2026] [The AI Journal, August 2026] |
| Critical infrastructure standard layer | Skylark's monitoring stack becomes embedded in airports, ports, industrial campuses, and large infrastructure operators that need persistent safety and security automation | The Indian Navy foreign-object-debris demonstration, subsequent commercial airport deployments, and Adani infrastructure contracts provide reference points across adjacent environments [PR Newswire, March 2026] [FODNews, March 2026] [PR Newswire, March 2026] | The same core proposition, on-site perception, alerting, and operation in demanding physical settings, appears in both military and commercial deployments, which can shorten product adjacency risk [Aviation International News, March 2026] [Yahoo Finance, March 2026] |
| Embodied AI platform expansion | CFAM or a similar learning layer becomes the reusable intelligence stack across drones, ground vehicles, and robotics sold directly or through partners | Evidence that CFAM was tested across five physical system types points to platform ambition rather than single-device software [Robotics and Automation News, September 2026] | A shared learning architecture across multiple machine classes could support higher software reuse and broader partner distribution if technical performance holds in production [Robotics and Automation News, September 2026] |
The compounding mechanism, if it develops, is a mix of data, deployment credibility, and procurement familiarity. Each new installation in a harsh operating environment can do more than add revenue. It can generate edge-case operational data, improve model behavior in similar settings, and give the next buyer a reference deployment in a category where proof matters more than slideware. That logic is starting to show in public: a foreign-object-debris demonstration aboard an Indian Navy aircraft carrier was followed by reports of commercial airport deployments, and a counter-UAS product has already progressed to a paid 20-system order under a larger program structure [PR Newswire, March 2026] [FODNews, March 2026] [Business Insider Markets, August 2026]. If that pattern repeats, Skylark's sales motion could become easier over time because technical validation and commercial validation would begin to reinforce each other.
Sizing the upside is necessarily conditional because the public file does not provide revenue, margins, or a verified priced round. Even so, one credible public marker exists. Whalesbook reported that Skylark had secured about 70% of funding commitments for a $150 million round targeting a $1 billion valuation, though that figure is not independently confirmed here [Whalesbook]. Treat that as a market signal rather than a valuation fact. In a more developed upside case, if Skylark were to translate defense and infrastructure traction into a repeatable software-plus-systems business with programmatic deployments across allied defense, airports, and industrial operators, a multibillion-dollar outcome is plausible (scenario, not a forecast). The reason is straightforward: the company would be selling into categories where contract sizes can be large, switching costs can rise once systems are embedded, and adjacent use cases, counter-UAS, airfield safety, infrastructure monitoring, and robotics control, appear to share a common technical spine [PR Newswire, June 2024] [Business Insider Markets, August 2026] [PR Newswire, March 2026] [Robotics and Automation News, September 2026].
Lightly corroborated -- This section relies on a mix of independently reported contract and deployment evidence, plus company-originated and lightly corroborated product-platform claims.
Sources
Public sources
[skylarklabs.ai] Skylark Labs | https://skylarklabs.ai/
[Crunchbase] Skylark Labs - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/skylark-labs
[Tracxn, retrieved 2026] Skylark labs - 2026 Funding Rounds & List of Investors - Tracxn | https://tracxn.com/d/companies/skylark-labs/__X9bDj2JE1U2LNUsfXGOdaxTK4p4Y7qQi-QF0wQzbKB8/funding-and-investors
[IndiaAI, July 2022] This startup is building AI-based defence tools to strengthen India’s national security | https://indiaai.gov.in/article/this-startup-is-building-ai-based-defence-tools-to-strengthen-india-s-national-security
[PR Newswire, June 2024] Skylark Labs Announces Entrance into Monkton’s $500M MATTER SBIR Phase III IDIQ | https://www.prnewswire.com/news-releases/skylark-labs-announces-entrance-into-monktons-500m-matter-sbir-phase-iii-idiq-302168610.html
[Business Insider Markets, August 2026] Skylark Labs Bags $4 Million ARIES Order Under Hexadyne-Led GCC Counter-UAS Program Worth Up to $32 Million | https://markets.businessinsider.com/news/stocks/skylark-labs-bags-4-million-aries-order-under-hexadyne-led-gcc-counter-uas-program-worth-up-to-32-million-1036476641
[Aviation International News, March 2026] Skylark Labs Debuts FOD Detection System on Indian Navy Carrier | https://www.ainonline.com/aviation-news/air-transport/2026-03-20/skylark-labs-debuts-fod-detection-system-indian-navy-carrier
[KGET, June 2024] Skylark Labs Announces Entrance into Monkton’s $500M MATTER SBIR Phase III IDIQ | https://www.kget.com/business/press-releases/ein-presswire/718887647/skylark-labs-announces-entrance-into-monktons-500m-matter-sbir-phase-iii-idiq/
[The AI Journal, August 2026] Skylark Labs receives initial $4 million order for 20 ARIES systems under Hexadyne-led counter-UAS program worth up to $32 million | https://aijourn.com/skylark-labs-receives-initial-4-million-order-for-20-aries-systems-under-hexadyne-led-counter-uas-program-worth-up-to-32-million/
[PR Newswire, March 2026] Skylark Labs Secures Adani Group Contracts to Expand Adaptive Drone Perception Across Infrastructure Operations | https://www.prnewswire.com/news-releases/skylark-labs-secures-adani-group-contracts-to-expand-adaptive-drone-perception-across-infrastructure-operations-302713291.html
[Robotics and Automation News, September 2026] Skylark Labs unveils AI brain that helps robots keep learning after deployment | https://roboticsandautomationnews.com/2026/09/30/skylark-labs-unveils-ai-brain-that-helps-robots-keep-learning-after-deployment/88698/
[Yahoo Finance, March 2026] Skylark Labs Secures Adani Group Contracts to Expand Adaptive Drone Perception Across Infrastructure Operations | https://finance.yahoo.com/news/skylark-labs-secures-adani-group-130000557.html
[FODNews, March 2026] Indian Navy carrier trial points to airport rollout for Skylark Labs FOD detection | https://www.fodnews.com/articles/2026/03/indian-navy-carrier-trial-points-to-airport-rollout-for-skylark-labs-fod-detection/
[LinkedIn] Amarjot Singh, PhD | LinkedIn | https://www.linkedin.com/in/amarjotsingh/
[PR Newswire, March 2025] Skylark Labs Forms Distinguished Defense Advisory Board with Top Military Leadership to Accelerate Market Growth | https://www.prnewswire.com/news-releases/skylark-labs-forms-distinguished-defense-advisory-board-with-top-military-leadership-to-accelerate-market-growth-302402127.html
[Fundz, July 2026] Skylark Labs raises $150 Million Venture Series Unknown round (July 2026) | https://app.fundz.net/fundings/skylark-labs-funding-round-650840
[skylarklabs.ai, September 2025] About Skylark Labs: Team, Advisors and Story | https://skylarklabs.ai/about-us.html
[TDN, March 2026] Skylark Labs demonstrates fixed FOD detection aboard Indian Navy aircraft carrier | https://www.thedronenews.com/skylark-labs-demonstrates-fixed-fod-detection-aboard-indian-navy-aircraft-carrier/
[Yahoo Finance, December 2024] Skylark Labs and Mercedes-Benz Research and Development India Complete Phase I of AI-Driven Accident Hotspot Detection System | https://finance.yahoo.com/news/skylark-labs-mercedes-benz-research-130000321.html
[International Business Times, August 2026] Skylark Labs Expands Self-Learning Defense Robotics Across US, GCC Leveraging Hexadyne’s Three… | https://www.ibtimes.com/skylark-labs-expands-self-learning-defense-robotics-across-us-gcc-leveraging-hexadynes-three-3806619
Articles about Skylark Labs
- Skylark Labs Lands on the Deck of an Indian Navy Aircraft Carrier — The Palo Alto startup, founded by a DARPA scientist, is betting that self-learning, edge-native AI is the key to winning defense and infrastructure contracts.