AI-driven intelligence, fraud and cyber security analytics for government agencies
Innefu Labs builds AI analytics and security products for national security, law enforcement and financial intelligence buyers. Its stack pairs a scraping toolkit (Scrapy, Selenium, Beautiful Soup) with Kafka, HBase, Elasticsearch and Neo4j, the shape of an OSINT and link-analysis pipeline, while Magnet AXIOM, EnCase and Autopsy point to digital forensics work. Accelerating hiring spans engineering, sales and VP-level roles, with new bets on agentic AI and tax analytics.
Innefu Labs is a New Delhi-based public company founded in 2010, employing 201–500 people. It develops data analytics and information security products for intelligence organizations, law enforcement, financial intelligence units, BFSI firms and large enterprises. Its product areas include open source intelligence, social media analytics, call data record analysis, predictive policing, financial fraud analytics, and biometric and facial authentication. The company reports deployments across the Indian Subcontinent, the Middle East and South East Asia, and its current hiring is based in India.
Innefu Labs uses Python, Django and Flask, Scrapy and Selenium for data collection, Kafka, HBase, Elasticsearch, Redis and Neo4j for data, Angular with TypeScript on the front end, and forensics tools like EnCase and Magnet AXIOM.
Job posts point to a fraud detection platform, a tax analytics solution, an agentic AI product line with an agent quality evaluation framework, and a revenue forecasting tool.
Innefu Labs is headquartered in New Delhi, India. It was founded in 2010, has 201–500 employees, and currently hires in India.
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Innefu Labs'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 →
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