Quantifind raises $200M to scale AI risk tools

Quantifind has raised $200 million to expand its artificial intelligence-based risk management products, the company announced. The funding is earmarked for product development, hiring and wider deployment of its systems to enterprise customers.

The company plans to use the capital to accelerate research on machine learning models, expand engineering and customer success teams, and broaden sales and support into additional industry verticals and geographies. Quantifind said the funding will also increase its capacity for data ingestion and model training to speed investigations and improve detection in large, complex data sets.

Quantifind develops software that applies natural language processing and graph analytics to public and proprietary data. The tools link news, corporate registries, transaction metadata and other sources to surface networks, transactions and patterns that may indicate money laundering, fraud or other compliance risks.

Customers include banks, insurers and large corporations that must meet regulatory requirements and reduce exposure to financial crime. The company said its platform provides visual maps and risk scores intended to help compliance teams prioritize cases and reduce manual review hours.

The financing attracted a mix of existing backers and new institutional investors; Quantifind did not disclose the full list of participants. Company executives noted demand from regulated firms facing higher transaction volumes and tougher compliance expectations, which they said is driving interest in automated monitoring and investigation tools.

Quantifind has added modules in recent years for entity resolution, adverse media screening and workflow orchestration for case management. The firm emphasizes explainable models that provide context and evidence alongside alerts so compliance officers and auditors can review the basis for flagged activity. It also works with systems integrators and cloud providers to simplify large-scale deployments.

Regulatory scrutiny and operational pressure on compliance teams have contributed to demand for technology that improves detection accuracy and shortens investigation times. Vendors and in-house teams are focusing investment on data quality, model governance and tools that link automated detection with human review.

Quantifind said it will share more details about product roadmaps and expansion plans in the coming months.