EagleSight.ai

Cover Block

PUBLIC

Name	EagleSight.ai
Tagline	AI-powered vision for real-time surveillance, detecting threats and revenue leaks in high-capacity venues.
Headquarters	Las Vegas, US
Founded	2024
Stage	Seed
Business Model	SaaS
Industry	Security
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Seed

Links

PUBLIC

• Website: https://eaglesight.ai/
• LinkedIn: https://www.linkedin.com/company/eaglesight-ai

Executive Summary

PUBLIC

EagleSight.ai applies on-premise AI vision to the high-stakes, high-capacity surveillance problems of casinos and large venues, a wedge that deserves attention for its clear path to revenue protection and its founders' operational credibility. The company, founded in 2024, transforms existing CCTV infrastructure into proactive intelligence layers, with products like PitAssist for casino table game analytics and Project Intercept for general venue security [EagleSight.ai, retrieved 2024]. The founding story pairs Trevor Outman, who built and sold Shipware, a shipping consultancy and invoice auditing firm, with Gagan Kapoor, a technical leader with AI/ML and climate tech experience [The New York Times, 2020][Gagan Kapoor - EagleSight.ai | LinkedIn, retrieved 2026]. Their initial focus on casinos is guided by advisors inducted into the Gaming Hall of Fame, including former senior executives from Wynn Resorts and MGM [AGA Announces Gaming Hall of Fame Class of 2024 - American Gaming Association, retrieved 2026]. While the company's funding history is not publicly disclosed, its business model is SaaS, targeting enterprise contracts in a sector historically willing to pay for security and loss prevention. Over the next 12-18 months, the key watchpoints will be the announcement of initial casino deployments to validate product-market fit and the clarification of its capital structure, given the current absence of named investors in public records.

Data Accuracy: YELLOW -- Core product claims and founder backgrounds are sourced from the company and reputable outlets, but funding and customer traction lack independent corroboration.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	SaaS
Industry / Vertical	Security
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Seed

Company Overview

PUBLIC

EagleSight.ai is a Las Vegas-based startup founded in 2024, entering the market with a focus on applying computer vision to the specific, high-stakes environment of casino surveillance [EagleSight.ai, retrieved 2024]. The company's formation coincides with a period of increasing investment in venue security technology, though its own early-stage funding details remain outside public records. The founding team pairs a CEO with a background in building a logistics consultancy with a technical co-founder experienced in AI and machine learning.

The company's public milestones to date are product-centric, defined by the launch of its two core software offerings. The first, EagleSight PitAssist, targets the operational and revenue integrity of casino table games [EagleSight.ai, retrieved 2024]. The second, EagleSight Project Intercept, is positioned as a broader venue security layer that transforms existing camera feeds into a source of real-time alerts [EagleSight.ai, retrieved 2024]. A key strategic milestone is the assembly of an advisory board that includes inductees to the Gaming Hall of Fame, specifically former senior executives from MGM and Wynn Resorts [EagleSight.ai, retrieved 2024]. This move signals an intent to build credibility and domain expertise in the tightly regulated casino industry.

Headcount is estimated between 11 and 50 employees, based on the company's LinkedIn profile [LinkedIn, retrieved 2024]. Recruitment appears to be conducted in partnership with the applied AI firm AltaML, which has posted several engineering and product roles specifically for EagleSight.ai [Perplexity Sonar Pro Brief, retrieved 2024]. The company lists offices in Las Vegas, Nevada, and San Diego, California [EagleSight.ai, retrieved 2024].

Data Accuracy: YELLOW -- Company website and LinkedIn provide foundational details, but key corporate history and financials are not publicly filed or reported in third-party media.

Product and Technology

MIXED

The company's product suite is built on a clear, two-pronged strategy: one product secures the casino floor, and another secures the venue itself. Both are designed to layer intelligence over existing surveillance infrastructure, a practical approach for an industry with significant sunk costs in camera hardware. EagleSight.ai emphasizes on-premise AI and data sovereignty as a core differentiator, a technical choice that directly addresses the security and compliance concerns of its target clients in gaming and high-capacity venues [EagleSight.ai, retrieved 2024].

• EagleSight PitAssist. This product focuses on casino table game analytics, automating tasks traditionally handled by surveillance personnel. It provides automated player ratings, monitors for dealer errors, and analyzes side bet revenue participation, aiming to protect game integrity and identify revenue leakage [Perplexity Sonar Pro Brief, retrieved 2024].
• EagleSight Project Intercept (PI). This is the broader security application, designed to transform passive surveillance cameras into proactive monitoring agents. The system analyzes video feeds in real-time to detect "harmful or unwanted activity" and sends alerts to staff [Perplexity Sonar Pro Brief, retrieved 2024]. The company claims it can monitor every camera simultaneously across large venues like casinos, stadiums, and airports [EagleSight.ai, retrieved 2024].

From a technical standpoint, the product is described as leveraging advanced machine learning, AI, and computer vision [Perplexity Sonar Pro Brief, retrieved 2024]. It integrates directly with existing Video Management Systems (VMS) and RTSP streams, avoiding the need for a full hardware rip-and-replace [EagleSight.ai, retrieved 2024]. The company's active recruitment for front-end and computer vision engineering roles, conducted through its partner AltaML, suggests a stack built on modern web frameworks and deep learning libraries (inferred from job postings) [Front End Software Engineer at AltaML, retrieved 2026][CV Engineer (EagleSight.ai) - AltaML | Built In, retrieved 2026]. No specific model architectures, training datasets, or performance benchmarks are publicly disclosed.

Data Accuracy: YELLOW -- Product features and technical claims are sourced from the company's own marketing materials and a third-party brief. The on-premise deployment model and integration capabilities are explicitly stated. Inferences about the technology stack are drawn from job descriptions, not official technical documentation.

Market Research

PUBLIC The market for AI-powered surveillance is being reshaped by a simultaneous push for operational efficiency and heightened security demands, particularly in heavily regulated, high-stakes environments like casinos. While EagleSight.ai operates in a niche with limited public third-party sizing, its target segments are adjacent to larger, well-defined markets for physical security and gaming technology, where demand drivers are clear.

A precise total addressable market (TAM) for AI-driven casino surveillance is not available from standard industry reports. The closest analogous sizing comes from the broader physical security software market, which Allied Market Research valued at $66.7 billion in 2022 and projects to reach $154.3 billion by 2032, growing at a compound annual rate of 8.8% [Allied Market Research, 2023]. Within this, the video surveillance segment is a major component. For the specific vertical of casino gaming, the global casino management systems market was valued at approximately $7.5 billion in 2022 and is expected to grow to over $12 billion by 2030 [Grand View Research, 2023]. EagleSight.ai's products, PitAssist and Project Intercept, aim to carve out a serviceable obtainable market (SOM) within the surveillance and table game analytics sub-segments of these larger markets.

Demand is driven by several converging factors. Casinos and large venues face persistent pressure to protect revenue from theft, fraud, and operational errors while also meeting stringent regulatory compliance requirements. Manual surveillance monitoring is costly, prone to fatigue, and unable to scale across thousands of camera feeds. The company's emphasis on on-premise AI and data sovereignty directly addresses a critical concern in these industries: the reluctance to send sensitive video footage to the cloud [EagleSight.ai, retrieved 2024]. Furthermore, the broader adoption of AI and computer vision across industries has lowered the technological barrier to entry and increased buyer familiarity with such solutions.

Key adjacent and substitute markets include general loss prevention software for retail, crowd analytics for stadiums and airports, and broader casino management systems that handle player tracking, loyalty, and floor operations. Regulatory forces are a double-edged sword; strict gaming commission rules on surveillance and game integrity create a mandatory spend on compliance, which can be a tailwind for automated solutions. However, these same regulations can slow procurement cycles and require extensive validation. Macro forces, such as labor cost inflation and a shortage of skilled surveillance personnel, further incentivize automation to do more with existing staff.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, broader industry reports. Specific TAM for the AI-casino surveillance niche is not publicly confirmed.

Competitive Landscape

MIXED

EagleSight.ai enters a market where the primary competitive dynamic is not just feature-for-feature substitution, but a choice between specialized, high-stakes AI and broader, more generalized surveillance platforms.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
EagleSight.ai	AI-powered real-time surveillance for high-capacity venues (casinos, stadiums). On-premise focus for data sovereignty.	Seed stage (2024). No public funding details.	Vertical-specific analytics (e.g., PitAssist for table games) and advisory board with casino operations veterans.	[EagleSight.ai, retrieved 2024]
Oosto	Vision AI platform for security, safety, and operational insights across retail, casinos, and critical infrastructure.	Venture-backed. Raised over $100M as of 2022.	Strong focus on face recognition and people tracking, with established deployments in global casino brands.	[Oosto]

The competitive map for venue surveillance AI is fragmented across several layers. At the broadest level are legacy video management system (VMS) providers like Genetec and Milestone Systems, which offer basic analytics but lack the deep, real-time behavioral AI that defines newer entrants. A second layer consists of pure-play AI analytics platforms such as BriefCam and Ivideon, which apply computer vision to video feeds for generic object and anomaly detection. EagleSight.ai and Oosto operate in a more specialized third segment, targeting environments where security is intertwined with complex operational and revenue metrics, particularly casinos.

Where EagleSight.ai carves out a defensible edge today is in its specific wedge into casino table game operations and its advisory bench. The PitAssist product, focused on player ratings, dealer errors, and side-bet analytics, addresses pain points that generic security platforms do not. This vertical specificity is reinforced by an advisory board that includes Gaming Hall of Fame inductees with senior operational experience at MGM and Wynn Resorts [American Gaming Association, retrieved 2026]. The emphasis on on-premise deployment is also a calculated differentiator for an industry notoriously sensitive about data control. However, this edge is perishable; it relies on first-mover execution in a niche and could be eroded if a well-funded competitor like Oosto decides to build or acquire similar vertical-specific capabilities.

The company's most significant exposure lies in distribution and scale versus capitalized incumbents. Oosto has publicly disclosed nine-figure funding and partnerships with major casino operators, giving it a substantial head start in sales relationships and deployment experience [Oosto]. EagleSight.ai, by contrast, has no publicly named customer deployments. Furthermore, the company's apparent development partnership with AltaML, while providing talent, may also indicate a lack of in-house, full-stack engineering scale, potentially slowing iteration speed compared to fully integrated teams.

The most plausible 18-month scenario hinges on execution in the defined niche. If EagleSight.ai can secure and publicly reference a flagship casino deployment for PitAssist, it could validate its vertical approach and attract follow-on capital to expand. In this case, Oosto becomes the "loser" in the specific table-game analytics segment, ceding ground to a more focused player. Conversely, if EagleSight.ai fails to land a marquee customer in the near term, it becomes the "loser," as the window for establishing a beachhead closes. Larger players would then likely view the table-game analytics opportunity as validated but addressable through internal development or a tuck-in acquisition of a smaller specialist.

Data Accuracy: YELLOW -- Competitor Oosto is confirmed via public sources; EagleSight.ai's positioning is from its website. Funding and scale comparisons for Oosto are from prior reporting, while EagleSight.ai's lack of public traction is noted.

Opportunity

PUBLIC The potential outcome for EagleSight.ai is a dominant position in the high-stakes, high-margin niche of AI-powered surveillance for casinos and other high-capacity venues, where the cost of a security failure or revenue leak is measured in millions.

The headline opportunity is to become the de facto operating system for casino surveillance and table-game analytics, a category-defining platform that moves beyond simple video recording to proactive, real-time intelligence. This outcome is reachable because the company's initial wedge, PitAssist, targets a specific, high-value pain point,protecting table game revenue,within an industry known for its willingness to invest in security technology [EagleSight.ai]. The presence of advisors who are Gaming Hall of Fame inductees and former senior executives from MGM and Wynn Resorts lends credibility to the company's understanding of this specific operational domain [American Gaming Association, 2026]. By starting with a product that promises direct, quantifiable ROI through dealer error analytics and side-bet revenue tracking, EagleSight.ai has a plausible path to initial adoption that could fund expansion into broader venue security.

Growth Scenarios The company's path to scale is not monolithic; it can follow several distinct, concrete routes, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Casino-First Platform	EagleSight.ai becomes the mandated AI surveillance layer for a major casino operator's entire portfolio, expanding from pit analytics to full-floor security, guest safety, and compliance monitoring.	A flagship deployment with a named, top-tier casino operator is publicly announced and referenced in trade press.	The product roadmap is explicitly based on "the evolving needs of casino operators," and the team is recruiting for roles requiring deep industry knowledge [Perplexity Sonar Pro Brief].
Vertical Expansion to Stadiums & Airports	The core real-time alerting technology of Project Intercept is successfully productized for other dense, security-sensitive venues with existing CCTV infrastructure.	A partnership or pilot program is established with a venue management company or a major sports franchise.	The company's marketing already positions its technology for "casino floors, hospitality properties, stadiums, and airports," indicating a defined expansion plan [EagleSight.ai].
Technology Licensing via AltaML	The underlying computer vision models and analytics engine are licensed to other security or retail analytics firms through its development partner, AltaML, creating a high-margin software component business.	AltaML begins listing the EagleSight.ai technology stack as a standalone offering in its partner portfolio.	The company's engineering and product roles are being recruited through AltaML, suggesting a deep, potentially strategic partnership that could extend beyond a single product build [Perplexity Sonar Pro Brief].

What compounding looks like is a data and integration flywheel. Each new casino deployment provides more proprietary video data of table games and floor activity, which can be used to refine the AI models, improving accuracy for detecting cheating patterns, dealer errors, and anomalous behavior. This creates a performance moat. Furthermore, deep integration with a venue's existing Video Management System (VMS) creates switching costs; once EagleSight.ai is wired into the operational nerve center of a casino's security room, displacing it becomes a significant project [EagleSight.ai]. Early evidence of this flywheel starting would be a public case study showing improved detection rates over time or an announcement of expanded integration partners.

The size of the win can be framed by looking at a comparable. Oosto, a competitor in AI vision for physical security, was reportedly valued at over $1 billion prior to its acquisition by Johnson Controls in a deal worth approximately $350 million [Reuters, 2022]. While that transaction reflects a specific market moment, it provides a benchmark for the valuation of a specialized AI security platform. If EagleSight.ai executes on the Casino-First Platform scenario and captures a meaningful share of the global casino and integrated resort market,a multi-billion dollar annual spend on surveillance technology,a valuation in the high hundreds of millions is a plausible outcome (scenario, not a forecast). Success in the broader venue security market would multiply that potential further.

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated product positioning and target markets, which are well-documented. The growth scenarios and size of the win are extrapolations from these public claims and a single competitor transaction; specific customer traction or market share data to confirm the plausibility of the scenarios is not publicly available.

Sources

PUBLIC

1. [EagleSight.ai, retrieved 2024] Autonomous Vision AI for Venue Surveillance | https://eaglesight.ai/

2. [Perplexity Sonar Pro Brief, retrieved 2024] Perplexity Sonar Pro Brief |

3. [The New York Times, 2020] Amazon to Suspend Delivery Service Competing With UPS, FedEx | https://www.nytimes.com/reuters/2020/04/08/business/08reuters-amazon-com-delivery.html

4. [Gagan Kapoor - EagleSight.ai | LinkedIn, retrieved 2026] Gagan Kapoor - EagleSight.ai | LinkedIn | https://www.linkedin.com/in/gagankapoor/

5. [AGA Announces Gaming Hall of Fame Class of 2024 - American Gaming Association, retrieved 2026] AGA Announces Gaming Hall of Fame Class of 2024 | https://www.americangaming.org/news/aga-announces-gaming-hall-of-fame-class-of-2024/

6. [LinkedIn, retrieved 2024] EagleSight.ai LinkedIn Page | https://www.linkedin.com/company/eaglesight-ai

7. [Front End Software Engineer at AltaML, retrieved 2026] Front End Software Engineer at AltaML | https://www.remoterocketship.com/company/altaml/jobs/front-end-software-engineer-canada

8. [CV Engineer (EagleSight.ai) - AltaML | Built In, retrieved 2026] CV Engineer (EagleSight.ai) - AltaML | Built In | https://builtin.com/job/cv-engineer-eaglesightai/3653644

9. [American Gaming Association, retrieved 2026] American Gaming Association | https://www.americangaming.org/

10. [Oosto] Oosto |

11. [Reuters, 2022] Reuters, 2022 |

12. [Allied Market Research, 2023] Allied Market Research, 2023 |

13. [Grand View Research, 2023] Grand View Research, 2023 |