What challenges did Fivecast face before AI implementation?

Need for superior AI performance for image classification, translation, OCR, and AI-driven risk detection with minimal false positives/negatives. Strict requirements for GDPR compliance and ethical AI in sensitive intelligence workflows. Handling scalability for high-volume generative AI workloads in OSINT and risk assessment.

What was the impact of the AI solution?

Achieved 400% ROI for intelligence analysts using enhanced AI-driven threat detection tools. Significantly improved risk assessment quality and efficiency for government, commercial, and financial institution customers. Reduced AI hallucinations through continuous updates in Gemini models and improved compliance. Accelerated product development cycles with Google Code Assist integration.

Source

GCP

Fivecast improves intelligence risk assessment using Google Cloud AI

Use case typeRisk assessmentUpdated Jun 13, 2026

Fivecast, a leading provider of open-source intelligence (OSINT) solutions, partnered with Google Cloud to enhance its AI-driven threat detection and risk assessment capabilities. They adopted Google Cloud AI products such as Vertex AI, Gemini, Google Code Assist, and Generative AI models to improve risk assessment quality and operational efficiency. The implementation addressed challenges of AI hallucinations, compliance with GDPR, and ethical AI principles for sensitive intelligence analysis. The solution accelerated product development, significantly reduced false positives/negatives in threat detection, and delivered a 400% ROI for intelligence analysts. Fivecast is also exploring advanced AI workloads like agent-based automation while maintaining human oversight and compliance.

Organization: Fivecast
Industry: Professional Services
Location: United Kingdom

Reported outcomes

400%

quantified impactRisk, reliability & safety

Strategic outcomes

New product / capabilityEnhanced AI-driven threat detectionCustomer experience & trustImproved risk assessment qualityRisk & complianceReduced AI hallucinations and improved complianceSpeed & agilityAccelerated product development cycles

Catalog median for risk, reliability & safety deployments: +100% across 56 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Risk Assessment
2Threat Detection
3Operational Efficiency

Need for superior AI performance for image classification, translation, OCR, and AI-driven risk detection with minimal false positives/negatives.
Strict requirements for GDPR compliance and ethical AI in sensitive intelligence workflows.
Handling scalability for high-volume generative AI workloads in OSINT and risk assessment.

Adopted Google Cloud AI platform for best-of-breed LLM models and easy integration.
Leveraged Vertex AI for bespoke model creation and fine-tuning tailored to OSINT needs.
Integrated Gemini models and Google Code Assist to accelerate AI model performance and product development.
Collaborated closely with Google Cloud teams for AI guardrails customization for analyzing sensitive objectionable content.
Utilized Google SDKs and evaluated future agent-based AI workflows for automation while preserving human oversight and compliance.

Technologies

Vertex AI Gemini Google Code Assist Generative AI

Achieved 400% ROI for intelligence analysts using enhanced AI-driven threat detection tools.
Significantly improved risk assessment quality and efficiency for government, commercial, and financial institution customers.
Reduced AI hallucinations through continuous updates in Gemini models and improved compliance.
Accelerated product development cycles with Google Code Assist integration.

Sources & evidence1

Groundedness: 4/5

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