AI EdgeLabs
AI EdgeLabs is an AI-native runtime security platform that detects and responds to threats across workloads, containers, AI models, and AI agents in hybrid cloud, Kubernetes, GPU, edge, and air-gapped environments via a single zero-egress container. It serves enterprises and critical-infrastructure operators needing sub-millisecond, offline-capable security aligned to EU CRA/NIS2 compliance.
- Company typePrivate
- Founded2021
- HeadquartersDover, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What AI EdgeLabs does
AI EdgeLabs is an AI-native runtime security platform for workloads, containers, AI models, and AI agents operating across hybrid cloud, Kubernetes, GPU clusters, distributed edge, sovereign, and air-gapped environments. Delivered as a single lightweight container per host, the platform runs four parallel detection pipelines — network (kernel-level packet capture with DPDK for line-rate inspection), workload (eBPF kernel probes for syscalls, processes, and filesystem changes), vulnerability (CVE scoring using EPSS, CISA KEV, and an internal exploitation velocity metric), and AI agent (the open-source Parallax runtime) — unified by a correlation engine. Detection latency is 0.8 ms p99 with on-host ONNX-optimized ML inference, sub-4% CPU overhead per node, and zero data egress by design to support fully offline, air-gapped operation. The company is offered by Scalarr, Inc., a Delaware-incorporated parent founded in 2016; AI EdgeLabs launched as a commercial product in 2021 under founder-CEO Inna Ushakova, drawing on the team's decade of operational experience responding to named nation-state attacks on Ukrainian critical infrastructure.
The company's customers include enterprises across smart cities (Rekor), energy (Cuerva), hyperconverged infrastructure (Scale Computing), oil and gas, gaming, eCommerce, and GPU cloud, alongside government and defense buyers requiring sovereign deployments. Pricing is structured as a four-tier subscription (Free up to 3 nodes, Pro $349/month up to 10 nodes, Growth $799/month up to 30 nodes, and custom-priced Enterprise with on-prem/air-gapped deployment, multi-tenant management, and custom SLAs), with a 20% annual discount, a startup program (up to 30% off for under $1.5M funding and under 10 team members), and an agency/MSP partner program. Distribution combines product-led growth (self-serve portal with sub-10-minute deployment), enterprise field sales, channel partners, and an AWS Marketplace listing; a flagship February 2026 strategic partnership with Advantech embeds the platform in industrial edge and IoT devices, with the Compliance Center positioning the offering around EU CRA, NIS2, HIPAA, ISO/IEC 62443, PCI DSS, FedRAMP, and NIST requirements.
AI EdgeLabs firmographics
Firmographics- Name
- AI EdgeLabs
- Legal name
- Scalarr, Inc.
- Website
- https://edgelabs.ai
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- AI EdgeLabs is an AI-native runtime security platform that detects and responds to threats across workloads, containers, AI models, and AI agents in hybrid cloud, Kubernetes, GPU, edge, and air-gapped environments via a single zero-egress container. It serves enterprises and critical-infrastructure operators needing sub-millisecond, offline-capable security aligned to EU CRA/NIS2 compliance.
- Ownership category
- akta.pro rank
AI EdgeLabs industry classification
Industry- Product category
- Runtime Security Platform
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)
- akta.pro secondary industries
- Secure Model Deployment & Runtime Protection (sandboxing, isolation) (HDAAAKAH), On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Edge AI Deployment, Orchestration & OTA Model Updates (HDAAAJAI)
Keywords
Where AI EdgeLabs is headquartered
LocationHeadquarters
- HQ city
- Dover
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
AI EdgeLabs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Subscription (Tiered Plans): Four-tier subscription model: Free (up to 3 nodes), Pro ($349/mo, up to 10 nodes), Growth ($799/mo, up to 30 nodes), Enterprise (custom pricing, unlimited nodes). Annual billing offers 20% discount. Add-ons available for GPU workload protection and AI agent defense.
- Enterprise Custom Contracts: Enterprise tier includes on-prem/air-gapped deployment, multi-tenant management, custom features and integrations, dedicated account manager, and custom SLAs. Pricing negotiated directly with sales team.
- AWS Marketplace: Available for purchase via AWS Marketplace, enabling customers to use Amazon billing and simplify procurement.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for essential visibility with up to 3 nodes |
| Subscription | Monthly | Pro tier for advanced protection with up to 10 nodes |
| Subscription | Monthly | Growth tier for scaling teams with up to 30 nodes |
| Subscription | Multi-year contract | Enterprise tier for mission-critical workloads with unlimited nodes |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels7 records
AI EdgeLabs product offering
Product offeringCore offering
AI EdgeLabs is an AI-native runtime security platform delivered as a single lightweight container that detects and responds to threats across workloads, containers, Kubernetes, AI agents, and edge/IoT environments in real time with sub-millisecond latency. The platform unifies network protection, workload security, vulnerability management, AI/LLM agent security (powered by the open-source Parallax engine), and a Compliance Center — all inference runs on-host with zero data egress, supporting hybrid cloud, GPU clusters, Kubernetes, distributed edge, and air-gapped sovereign deployments.
Product overview
AI EdgeLabs is a unified AI-native runtime security platform delivered as a single lightweight container that deploys across every workload type. The core platform (AI EdgeLabs Platform) provides network protection, workload security, vulnerability management, and a Compliance Center — all running entirely on-host with zero data egress. AI/LLM Security (powered by the open-source Parallax engine) and Kubernetes & Container Security extend the platform for AI agent and containerized workloads. The AI Security Assistant & Playbooks feature adds AI-driven investigation and automated response. The platform targets hybrid cloud, Kubernetes, GPU clusters, distributed edge, sovereign, and air-gapped environments.
Differentiator
Problem solved
Functional benefit
Brands
- Parallax: Open-source runtime security layer for AI agents. A Rust binary that intercepts every agent lifecycle event and evaluates tool calls in microseconds against configurable rules.
Products and services
- AI EdgeLabs Platform Unified runtime detection and response platform that secures workloads, containers, AI agents, and infrastructure across hybrid cloud, Kubernetes, GPU, edge, sovereign, and air-gapped environments via a single lightweight container deployment.
- Workloads & Application Security Runtime protection from kernel to application layer — eBPF syscall monitoring, behavioral ML baselines, file I/O guard, and autonomous incident response with sub-millisecond detection latency.
- Network Protection AI-powered IDS/IPS with runtime traffic monitoring, behavioral analysis, automated IP blocking, and deep visibility across distributed infrastructure; supports DPDK for high-throughput environments.
- Vulnerability Management CVE prioritization using EPSS scores, CISA KEV flags, and internal exploitation velocity — with hourly vulnerability database refresh, host risk scoring, and SBOM generation for containers and custom OS.
- Compliance Center Automated compliance mapping to CRA, NIS2, and other frameworks with continuous asset tracking, system auditing, risk scoring, and audit-ready reporting.
- AI/LLM Security Runtime guardrails for AI agents powered by the Parallax engine — intercepts every LLM tool call and message, blocking prompt injection, dangerous commands, and data exfiltration in under 0.2 ms.
- Kubernetes & Container Security Full-stack Kubernetes security from image scanning to runtime syscall monitoring — detects container breakout, lateral movement, privilege escalation, and configuration drift with less than 4% CPU overhead per node.
- Parallax Open-source runtime security layer for AI agents (Apache 2.0 licensed) — intercepts agent lifecycle events and evaluates tool calls via regex, Sigma, CEL, and SQL temporal analysis in under 0.2 ms.
Quantifiable outcome
- MTTR drops from hours to milliseconds with autonomous response at agent layer
- +6 more outcomes
Companies that use AI EdgeLabs
Customer profileNamed customers7 records
Segments5 records
Ideal customer profiles5 records
AI EdgeLabs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability8 records
Feature7 records
AI EdgeLabs partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core and flagship.
- AdvantechcoreStrategic partnership to integrate AI-native runtime security and governance capabilities into Advantech's industrial edge and IoT platforms. Collaboration aims to help customers meet evolving European cybersecurity regulations (Cyber Resilience Act and NIS2) while reducing third-party security tool integration needs.
- AWSflagshipTechnology partner with logo displayed on website. AI EdgeLabs integrates with AWS environments and is available via AWS Marketplace.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
AI EdgeLabs competitors and assessment
Company assessmentBroad incumbents
- Palo Alto Networks Prisma Cloud: Broad cloud security suite from Palo Alto Networks covering CNAPP, cloud workload protection, and runtime threat detection. Comparable broad incumbent in cloud and container runtime security competing for the same enterprise buyers.
- CrowdStrike: Cloud-native endpoint and workload protection leader whose Falcon platform increasingly covers runtime AI workload security, container/Kubernetes protection, and identity threat detection. Comparable as a broad incumbent adding overlapping capabilities to AI EdgeLabs' runtime focus.
- SentinelOne: AI-driven endpoint and cloud workload security platform with Singularity Platform covering endpoint, cloud, and identity. Comparable broad incumbent now adding AI-era workload protection that overlaps with AI EdgeLabs' runtime detection thesis.
Direct peers
- Darktrace: AI-based cybersecurity platform using self-learning ML for network, cloud, and endpoint anomaly detection. Comparable in its AI-native detection philosophy and focus on autonomous response at machine speed.
- Orca Security: Cloud security platform with agentless and runtime workload protection covering vulnerabilities, compliance, and threat detection. Peer in cloud workload runtime and vulnerability prioritization.
- Aqua Security: Pure-play cloud-native application protection platform (CNAPP) specializing in container and Kubernetes security from build to runtime. Direct competitor in the K8s/container runtime detection space that AI EdgeLabs also targets.
- Lakera: AI security startup focused on LLM and AI agent guardrails, prompt injection defense, and model interaction protection. Direct peer in the AI/LLM Security and agent runtime protection category that AI EdgeLabs addresses via Parallax.
- Sysdig: Cloud-native security platform providing runtime threat detection, container security, and Kubernetes posture management built on Falco. Direct peer in the runtime K8s detection and vulnerability prioritization space.
- Wiz: Cloud security platform with broad agentless and runtime workload protection across AWS, Azure, GCP, and Kubernetes. Direct peer in cloud workload runtime security with strong enterprise traction and significant capital base.
- Lacework: AI-driven cloud security platform providing workload protection, anomaly detection, and compliance across cloud and container environments. Comparable in its AI-native anomaly detection approach to runtime cloud security.
Market position
Strengths1 record
Weaknesses1 record
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
AI EdgeLabs social profiles
Digital presenceAI EdgeLabs compliance and trust
Trust signalCompliance8 records
AI EdgeLabs financial estimates
Financial estimateRevenue estimate
Valuation estimate
AI EdgeLabs leadership team
Management profileNumber of profiles
Profiles4 records
AI EdgeLabs funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AI EdgeLabs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about AI EdgeLabs
What does AI EdgeLabs do?
AI EdgeLabs is an AI-native runtime security platform delivered as a single lightweight container that detects and responds to threats across workloads, containers, Kubernetes, AI agents, and edge/IoT environments in real time with sub-millisecond latency. The platform unifies network protection, workload security, vulnerability management, AI/LLM agent security (powered by the open-source Parallax engine), and a Compliance Center — all inference runs on-host with zero data egress, supporting hybrid cloud, GPU clusters, Kubernetes, distributed edge, and air-gapped sovereign deployments.
Is AI EdgeLabs a public or private company?
AI EdgeLabs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was AI EdgeLabs founded?
AI EdgeLabs was founded in 2021. It employs 11 to 50 people.
Where is AI EdgeLabs based?
AI EdgeLabs is headquartered in Dover, United States, in the North America region.
How does AI EdgeLabs make money?
Three revenue lines are on record. SaaS Subscription (Tiered Plans) is the primary driver. The others are enterprise Custom Contracts and AWS Marketplace.
Who are AI EdgeLabs's main competitors?
Broad incumbents on record are Palo Alto Networks Prisma Cloud, CrowdStrike and SentinelOne. Direct peers are Darktrace, Orca Security, Aqua Security, Lakera, Sysdig, Wiz and Lacework.
Does AI EdgeLabs have an API?
Yes. REST API for SBOM operations including upload, list, retrieve findings — for CI/CD pipeline integration and build-time vulnerability gates. Supports CycloneDX JSON, CycloneDX XML, and SPDX 2.3 formats up to 10 MB per file.
What industry is AI EdgeLabs in?
AI EdgeLabs's product category is Runtime Security Platform. Its primary akta.pro industry code is HDAEANAG, Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII), with a secondary code of HDAAAKAH, Secure Model Deployment & Runtime Protection (sandboxing, isolation). Its NAICS code is 54151 and its SIC code is 7372.