Cap Vista Accelerator

From Prototype to
Breakthrough Innovation

Cap Vista seeks innovative solutions to address challenges published on this website. We focus on accelerating the adoption of technologies to solve real challenges at speed.

ABOUT THE JOINT CHALLENGE

Singapore's Ministry of Defence's Future Systems & Technology Directorate and the French Ministerial Agency for Defence Artificial Intelligence (AMIAD) have launched the AI Joint Challenge. This initiative seeks cutting-edge AI technologies to address operational challenges faced by defence users in both France and Singapore

The joint challenge offers a unique opportunity for companies, startups and academia to collaborate directly with defence establishments, transforming innovative proposals into trial projects with real-world impact.

WHAT IT MEANS TO YOU AS AN INNOVATOR?

We aim to award suitable award suitable companies, startups and academia with a contract to work directly with end users to showcase and validate their solutions in national security applications. If the solution demonstrates success and good potential, we aim to scale it quickly.

OVERVIEW OF CHALLENGE STATEMENTS

How might we leverage AI to detect anomalies in complex, high-volume datasets?

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How might we optimize AI solutions for field deployment by balancing size, weight, and power (SWaP) constraints without compromising performance?

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How might we ensure that AI-enabled autonomous systems are safe, reliable and robust to operate independently or alongside human operators to expand mission capability in complex environments while reducing personnel risk?

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Context

Operators today are often overwhelmed with information across multiple sources, which increases the likelihood of missing out on subtle warning signs. AI-enabled anomaly detection based on behavior analysis and intent inference for preemptive alerts could minimize the cognitive load of operators and increase their operational efficiency.

What We Are Looking For

We are looking for platform-agnostic capabilities capable of achieving the following within 12 months:

AI-enabled anomaly detection based on behavior analysis and intent inference on multiple (video & text) streams to generate pre-emptive alerts.
AI solutions capable of ingesting and analyzing multi-modal, large-scale datasets (text, images, video). Tools that highlight anomalies indicative of coordinated campaigns, or irregular activity.
Approaches that balance detection accuracy with explainability, enabling human analysts to trust and act on outputs.

Key Metrics

Detection Accuracy: Precision/recall in identifying anomalies or irregular activity.
Scalability: Ability to handle millions of data points across diverse sources in near real-time.
Explainability: Clear reasoning or traceability of flagged anomalies.
Adaptability: Performance across different domains (e.g., defence OSINT, commercial data streams).
Latency: Speed of detection and alerting for operational relevance.

Your Technology Solution Should Demonstrate

Integration of AI/ML models with anomaly detection tailored for unstructured and semi-structured data.
Visualization or dashboarding that enables analysts to interpret anomalies quickly.
Modular architecture for integration with existing intelligence or monitoring platforms.

What A Trial Looks Like

Pilot deployment on synthetic and real-world OSINT datasets (e.g., social media feeds, news archives, metadata). Evaluation against known mis/disinformation case studies and adversarial scenarios.
Testing scalability across datasets of varying size and complexity.
Up to 6 months trial with iterative feedback loops from analysts and stakeholders.

What We Are Not Looking For

Purely academic prototypes without operational scalability. Black-box models with no explainability or analyst interpretability.
Solutions limited to single-source datasets (e.g., only Twitter or only text).
Tools focused solely on content moderation rather than anomaly detection and intelligence support.

Follow-On Implementation Cost

Leasing or licensing option over a longer period.

TIMELINE OVERVIEW

Open for Applications 11th May - 8th June 2026, 16:00 hrs (GMT+8) Providers can register on the platform and submit their proposals by completing the application form.

Shortlisting of Proposals
June 2026 Submitted proposals will be evaluated based on innovativeness and relevance of the solution, feasibility and readiness for implementation.

Pitching Session 1st or 2nd July 2026 - Hybrid Shortlisted providers will pitch their solutions to our evaluation panel, which includes our challenge statement owners and technical experts

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AI Joint Challenge