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AIM Intelligence wins three awards at Singapore deep tech contest

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AIM Intelligence wins three awards at Singapore deep tech contest
By AI, Created 16:00 UTC, Nov 03, 2026, AGP -

AIM Intelligence placed second and took the Advanced Computing and Intelligence domain at SLINGSHOT 2026 in Singapore, where 5,100 startups from 148 countries competed. The Seoul-based AI security company said the result validates demand for tools that can verify and control what AI systems actually do, not just what they say.

Why it matters: - AIM Intelligence’s finish shows AI security can compete for top honors in a deep tech field that also included quantum computing, advanced manufacturing and biotech. - The company won S$430,000 in total prizes, plus 12 months of rental support at JTC LaunchPad and intellectual property strategy support from IPOS International. - The result gives AIM Intelligence a stronger platform to expand in Singapore and push AI safety tools into enterprise and physical AI markets.

What happened: - AIM Intelligence placed second, or First Runner-Up, at SLINGSHOT 2026 in Singapore. - The company also won the Advanced Computing and Intelligence domain. - AIM Intelligence took three awards in total, including the NVIDIA Inception Grand Challenge 2026 Winner award. - The competition drew 5,100 startups from 148 countries. - SLINGSHOT 2026 was held Oct. 27-29 at Marina Bay Sands during SWITCH, Singapore Week of Innovation and Technology. - Enterprise Singapore organized the contest, which marked its 10th edition.

The details: - Judges from companies and investment organizations including NVIDIA and Samsung Ventures scored startups on technology, differentiation and impact, team capability, business model and growth potential, and investment attractiveness. - The overall winner was Miraqules, an Indian developer of hemostatic materials. - At the grand final on Oct. 29, Haon Park, co-founder and CTO of AIM Intelligence, presented security technology that verifies and controls the decisions and actions of AI systems. - Park said AI security must cover not only what AI says but what it does, as enterprise systems and robots increasingly rely on AI to execute actions. - AIM Intelligence highlighted the AIM Control Loop, which combines Stinger, an automated red-teaming platform, and Starfort, a real-time guardrail system. - The presentation also covered a humanoid guardrail implementation, vulnerability research on physical AI such as autonomous vehicles and drones, and the recently announced integration of Stinger with OpenAI's Daybreak. - AIM Intelligence has evaluated more than 160 AI models, serves more than 30 enterprise customers, and protects more than 100,000 AI agents. - End users of services running on or built with the company’s guardrails exceed 12 million.

Between the lines: - The award suggests buyers and investors are treating AI safety as core infrastructure, not an add-on. - AIM Intelligence is also positioning itself beyond software-only guardrails by linking its work to autonomous agents, robots and other physical AI systems. - The company’s third-place result on the global competition circuit adds momentum after its win at the Supernova Challenge 2.0 alongside GITEX GLOBAL in Dubai in October 2025. - In September 2026, AIM Intelligence reached the Asia-Pacific Top 10 of the NVIDIA Inception Grand Challenge, which qualified it for the SLINGSHOT finals.

What's next: - AIM Intelligence plans to build a local team in Singapore. - The company plans to expand partnerships with companies and institutions in Singapore. - AIM Intelligence intends to move ongoing AI security and physical AI collaborations toward pilots and commercialization. - The company also plans to expand products that control data access and system execution for enterprise AI agents. - AIM Intelligence said it wants to commercialize technology that verifies and prevents risky behavior by robots and autonomous systems.

The bottom line: - AIM Intelligence used SLINGSHOT 2026 to turn a competition win into a broader signal: AI security is becoming a mainstream requirement for enterprise AI and physical AI deployments. - More information is available at aim-intelligence.com.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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