Astrix Security vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco/Tel Aviv non-human identity security (private, $85M raised); $45M Series B Menlo/Anthology (Anthropic), API key/OAuth/AI agent credential governance competing with CyberArk and HashiCorp Vault.
About
Astrix Security is a San Francisco and Tel Aviv-based non-human identity (NHI) and AI security company — founded in 2021 by Alon Jackson (CEO) and Idan Gour — protecting enterprises against the explosion of machine identities, API credentials, service accounts, OAuth tokens, AI agent identities, and CI/CD pipeline secrets that have become the primary attack surface for modern cloud breaches. The company raised a $45 million Series B funding round led by Menlo Ventures through their Anthology Fund (a strategic fund in partnership with Anthropic, connecting Astrix to the AI security ecosystem), alongside Workday Ventures and existing investors Bessemer Venture Partners (BVP), CRV, and F2 Venture Capital — bringing total funding to $85 million. Astrix's non-human identity security platform discovers, assesses, and remediates every non-human identity in an organization's cloud environment: API keys embedded in GitHub repositories, service account credentials with excessive permissions in AWS/GCP/Azure, OAuth app authorizations granted by employees to third-party SaaS tools, and AI agent identities (the new credential type created when enterprises deploy autonomous AI agents that need API access to business systems). As enterprises deploy AI agents that autonomously access Salesforce, Slack, Google Workspace, and internal APIs, the number of non-human identities per organization is growing 10-50x faster than human identities — creating a security gap that traditional identity and access management (IAM) tools built for human users cannot address.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
About
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
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