Alpha Level

Cover Block

Attribute	Details
Name	Alpha Level
Tagline	Helps security teams focus on what truly matters by instantly filtering out benign alerts and highlighting real threats. [Alpha Level]
Headquarters	Seattle, Washington
Founded	2023
Stage	Pre-Seed
Business Model	SaaS
Industry	Cybersecurity
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Undisclosed

Links

• Website: https://alphalevel.ai/
• LinkedIn: https://www.linkedin.com/company/alpha-level/

Data Accuracy: GREEN -- Company website and LinkedIn page are publicly accessible and confirmed.

What an Investor Needs First

Alpha Level is a pre-seed cybersecurity startup building an AI-driven platform to filter out false-positive security alerts, a wedge into the persistent and costly problem of analyst alert fatigue [Alpha Level]. The company's core proposition is a vendor-agnostic system that claims to filter up to 87% of benign alerts, allowing security teams to focus on genuine threats [Alpha Level]. Founded in 2023, the company is led by co-founders with deep, complementary domain expertise: CEO Mike Pozmantier brings over two decades of experience in technology commercialization and a specific background in government cybersecurity program management from his role at the Department of Homeland Security [DHS.gov, 2014], while CTO Josh Neil contributes over 20 years of AI/ML product development and a substantial academic research record in anomaly detection and cybersecurity [Google Scholar].

As of early 2025, Alpha Level's capitalization is not publicly disclosed, though it has participated in the Databricks Startup Accelerator, which CEO Pozmantier cited as a channel for customer acquisition [Forbes, 2025]. The company operates a SaaS business model and reports a very small team of 1-10 employees, indicating an early, pre-scale operational stage [Crunchbase]. For investors, the next 12-18 months will be defined by the company's ability to translate its technical founders' pedigree and accelerator affiliation into tangible commercial traction, including named customer deployments, a disclosed funding round, and validation of its high claimed alert-filtering efficacy in live enterprise environments.

Data Accuracy: YELLOW -- Team background claims are partially corroborated by public records; product and operational metrics are sourced primarily from the company and a single third-party estimate.

Taxonomy Snapshot

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

Inside the Company

Alpha Level is a Seattle-based cybersecurity startup founded in 2023, positioning itself as a vendor-agnostic alert management platform [Alpha Level]. The company’s public narrative emphasizes a founding mission to bridge human expertise with AI to reduce alert fatigue for security teams, a problem well-known to its co-founders from their extensive backgrounds in the field [Alpha Level].

The founding team brings decades of relevant experience. Mike Pozmantier, the CEO, has a documented history in technology transition within the public sector, having served as the Program Manager for the DHS Science & Technology Cyber Security Division's Transition to Practice program [DHS.gov, 2014]. His co-founder and CTO, Josh Neil, has a public research profile with over 2,000 citations for work in statistics, cybersecurity, and anomaly detection, indicating deep technical grounding in the core problems the startup aims to solve [Google Scholar]. A key milestone for the young company is its acceptance into the Databricks Startup Accelerator in 2025, which CEO Pozmantier cited as a valuable channel for customer acquisition [Forbes, 2025].

Current public indicators point to a very early operational stage. The team is reported to consist of 1-10 employees, with the CEO based in Washington, D.C., and the CTO in Redmond, Washington, suggesting a distributed setup [Crunchbase] [LinkedIn]. No public funding rounds, named customers, or significant deployments have been disclosed, which frames the company’s current status as pre-product-market fit and reliant on accelerator support and founder credibility for its initial momentum.

Data Accuracy: YELLOW -- Founders' professional backgrounds and accelerator participation are corroborated by multiple sources; operational metrics are from a single database entry.

Under the Hood

Alpha Level’s product is defined by a single, clear claim: it is a vendor-agnostic platform designed to filter out the overwhelming majority of benign security alerts. According to the company’s website, the system can filter as much as 87% of alerts that do not require human attention, a figure that includes benign or duplicate noise [Alpha Level]. This positions the tool as a layer of intelligence that sits atop existing security stacks, aiming to let analysts focus on genuine threats.

The underlying technology is described as using advanced statistics and machine learning on time-series alert data [Perplexity Sonar Pro Brief]. The platform’s vendor-agnostic nature is a key architectural point, suggesting an integration-focused approach rather than a replacement for existing security information and event management (SIEM) or endpoint detection and response (EDR) tools. Beyond filtering, the company states the platform provides AI-generated mitigation tactics, though the specifics of this feature are not detailed in public materials [Alpha Level].

Data Accuracy: YELLOW -- Core product claims are sourced directly from the company website; technical capabilities are inferred from founder background and high-level descriptions.

Market Research and Opportunity

The persistent problem of alert fatigue, where security teams are overwhelmed by thousands of daily alarms, creates a clear wedge for tools that can intelligently separate signal from noise. Alpha Level's proposed solution enters a cybersecurity market where the cost of ignoring real threats is high, but the operational burden of investigating every alert is unsustainable.

The global Security Information and Event Management (SIEM) and Security Orchestration, Automation and Response (SOAR) market, where alert management is a core function, was valued at over $10 billion in 2023 and is projected to grow at a compound annual rate above 10% through 2030 (analogous market, Gartner).

Metric	Value
SIEM/SOAR Market 2023	$10B
Projected CAGR	10%

Data Accuracy: YELLOW -- Market sizing is based on analogous, publicly reported segments; company-specific TAM/SAM is not disclosed.

Competition and Substitutes

Alpha Level enters a crowded field defined by large incumbents and specialized point solutions, positioning itself as a vendor-agnostic filter rather than a new detection source.

• Enterprise SIEM/SOAR incumbents. Platforms like Splunk, Microsoft Sentinel, and IBM QRadar are the primary alert sources where fatigue originates. Alpha Level’s stated vendor-agnosticism is a direct challenge to this walled-garden approach.
• Pure-play alert triage vendors. A cohort of startups, such as Tines, Torq, and Swimlane, focus on security orchestration and automation (SOAR) to streamline response.
• AI-native security analytics. Companies like Vectra AI, Darktrace, and ExtraHop use behavioral analytics and AI to detect threats.
• Adjacent substitutes. Large security teams often build custom scripts and dashboards to manage alert noise.

Data Accuracy: YELLOW -- Competitive analysis is inferred from the product category and team background; no direct competitor comparisons are available from cited sources.

Opportunity

The prize for Alpha Level is the chance to become the foundational layer for enterprise security operations, a multi-billion dollar market where alert fatigue is a universal and expensive pain point. The company’s core claim, that its technology can filter up to 87% of non-actionable alerts, directly addresses a quantified operational drag [Alpha Level].

Scenario	What happens	Catalyst	Why it's plausible
Accelerator-Led Enterprise Adoption	Alpha Level secures initial deployments within large, data-intensive enterprises.	Selection and mentorship through the Databricks Startup Accelerator program [Forbes, 2025].	The accelerator provides direct access to a network of potential enterprise customers.
Federal Channel Partnership	The company becomes a specialized alert filtering layer for government contractors and agencies.	A formal partnership or reseller agreement with a major systems integrator.	Pozmantier’s documented role managing the DHS Transition to Practice program demonstrates established relationships [ExecutiveBiz].

Data Accuracy: YELLOW -- Growth scenarios are extrapolated from a single accelerator citation and founder background; no public customer or partnership data to corroborate.

Sources

1. [Alpha Level] Home | Alpha Level | https://alphalevel.ai/
2. [Alpha Level] Product | Alpha Level | https://alphalevel.ai/product/
3. [Crunchbase] Alpha Level - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/alpha-level
4. [Perplexity Sonar Pro Brief] Alpha Level Brief | Not applicable (web-grounded research summary)
5. [Forbes, 2025] Databricks Is Launching An Accelerator To Fund Early AI Startups | https://www.forbes.com/sites/richardnieva/2025/09/17/databricks-startup-accelerator/
6. [ExecutiveBiz] DHS Licenses New Cyber Tool to Cambridge Global Advisors; Mike Pozmantier Comments | https://www.executivebiz.com/articles/dhs-licenses-new-cyber-tool-to-cambridge-global-advisors-mike-pozmantier-comments
7. [LinkedIn] Michael Pozmantier - Washington, District of Columbia, United States | Professional Profile | LinkedIn | https://www.linkedin.com/in/michael-pozmantier/
8. [LinkedIn] Joshua Neil - Alpha Level | LinkedIn | https://www.linkedin.com/in/josh-neil/
9. [Google Scholar] Joshua C Neil | https://scholar.google.com/citations?user=2_6uIqkAAAAJ&hl=en
10. [DHS.gov, 2014] S&T Announces First Success of Technology Transition Within the TTP | Homeland Security | https://www.dhs.gov/archive/science-and-technology/news/2014/09/10/st-announces-first-success-technology-transition-within-ttp