Network digital twin platform for visibility and security policy verification
Forward builds a network modeling platform that creates a mathematically accurate digital twin of customer network infrastructure. The tech stack spans Python, GraphQL, and multi-vendor integrations (Cisco, Arista, Juniper, Palo Alto, F5, Fortinet), with active adoption of Spring Boot and Java ecosystem tooling—suggesting a backend-heavy, modular architecture. Hiring is heavily skewed toward sales (28 roles) and directors (21 roles), indicating aggressive go-to-market expansion paired with org scaling; engineering hiring remains lean (4 roles), which aligns with a maturing platform phase rather than foundational R&D.
Notable leadership hires: Sales Director
Forward Networks operates a platform called Forward Enterprise that gives network teams a digital model of their infrastructure for visibility, path analysis, and security policy verification. The product targets enterprise and mid-market network operations teams dealing with complex, multi-vendor environments (Cisco, Arista, Juniper, Palo Alto, F5, Fortinet). Core engineering work spans data ingestion pipelines, network model design, REST API development, and storage systems; concurrent projects track customer adoption, post-sales technical support, and scalability optimization. The company is headquartered in Santa Clara, CA, and actively hiring across five countries (US, UK, India, Japan, Australia).
Primary stack includes Python, GraphQL, Java, Spring (Boot, Web MVC), Kubernetes, Docker, AWS, GCP, Azure. Multi-vendor integrations: Cisco, Arista, Juniper, Palo Alto Networks, F5, Fortinet. Frontend: React, Angular, Vue, JavaScript.
Five countries: United States, United Kingdom, India, Japan, and Australia. Headquarters in Santa Clara, CA.
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Forward's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.