Ganiga builds a data layer for waste and recycling operations, using Python, Go, Rust, PostgreSQL, and Kubernetes to process IoT and operational signals. The company is sales-motion focused—hiring across sales, design, and marketing with 3 roles posted in the last 30 days—while grappling with how to scale lead conversion and expand into new geographic markets. Current project load balances GTM execution (trade shows, outreach campaigns, messaging refinement) against product delivery (smart bin interfaces, feature launches).
Ganiga provides an AI-powered data platform purpose-built for waste management and recycling businesses. The platform ingests IoT and operational data from waste collection infrastructure, applies machine learning to optimize routes, reduce costs, and quantify emissions reductions. The company sells to waste and environmental services operators across Europe, with initial focus in Italy. The team of 11–50 spans engineering (core Python/Go/Rust infrastructure), sales (lead qualification and outreach), design (smart bin UI, web properties), and marketing (content, events, visual brand). Active challenges center on geographic expansion, lead-to-customer conversion scaling, and feature velocity.
Backend: Python, Go, Rust, PostgreSQL, Redis, Docker, Kubernetes. Frontend: React, TypeScript, JavaScript. DevOps: Terraform, Pulumi. Sales/ops: HubSpot, Apollo, Aircall, Ringover. Design: Figma, Adobe Creative Suite.
Current priorities: lead qualification and outreach in target waste sectors; smart bin product interfaces and UI design; GTM support (trade shows, events, messaging); launching new software features; and expanding installation capacity across new markets.
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