'AI 의사결정 인프라' 커넥셔너리, 블루포인트에서 프리시드 투자 유치
커넥셔너리가 딥테크 액셀러레이터 블루포인트파트너스로부터 프리시드 투자를 유치했습니다. 이번 투자를 바탕으로 AID 기반 의사결정 인프라를 고도화하고 금융·반도체·항공우주·보안 등 신뢰성 높은 분석이 필요한 산업으로 확장할 계획입니다.
AI 의사결정 인프라 기업 커넥셔너리가 딥테크 액셀러레이터 블루포인트파트너스로부터 프리시드 투자를 유치했습니다.
이번 투자는 생성형 AI 시대에 증가하는 정보 처리 비용과 신뢰성 문제를 해결하기 위한 커넥셔너리의 기술적 접근과 성장 가능성을 인정받은 결과입니다.
AI 시대의 새로운 인프라, 의사결정 인텔리전스
커넥셔너리는 AI가 답변을 생성하기 전, 필요한 정보를 의사결정 가능한 형태로 구조화하는 '의사결정 인프라(Decision Infrastructure)'를 개발하고 있습니다.
생성형 AI 활용이 확대되면서 기업이 처리해야 하는 정보량은 빠르게 증가하고 있습니다. 하지만 더 많은 정보를 활용하면 비용이 증가하고, 반대로 정보를 줄이면 정확도가 낮아지는 문제가 존재합니다.
커넥셔너리는 이러한 트레이드오프를 해결하기 위해 비정형 정보를 구조화된 인텔리전스로 변환하는 AID(Atomic Intelligence Decomposition) 플랫폼을 개발하고 있습니다.
신뢰성 높은 의사결정이 필요한 산업으로 확장
커넥셔너리는 금융을 첫 번째 시장으로 설정하고 국내 대형 금융사와 사업실증(PoC)을 진행했으며, 신한금융그룹의 스타트업 육성 프로그램 신한퓨처스랩에도 선정되었습니다.
향후 금융뿐 아니라 반도체, 항공우주, 보안 등 정확하고 신뢰성 있는 분석이 필요한 산업을 대상으로 의사결정 인텔리전스와 글로벌 정책·규제 분석 영역으로 서비스를 확대할 계획입니다.
"정보 처리 비용과 정확도 사이의 트레이드오프는 모든 기업이 마주할 구조적 과제다. 이를 정면으로 푸는 기술적 접근과 최고 수준의 팀 역량, 금융을 시작으로 전 산업으로 확장될 시장 잠재력을 높이 평가해 투자를 결정했다."
안휘재 · 블루포인트파트너스 수석심사역
"생성형 AI 시대의 경쟁력은 더 큰 모델이 아니라 같은 비용으로 얼마나 더 정확하고 신뢰할 수 있는 의사결정을 내리느냐에 달려 있다. AI가 더 적은 연산으로도 기업과 기관이 신뢰할 수 있는 결정을 내리는 기반을 만들겠다."
이지원 · 커넥셔너리 대표
언론 보도
Structure before inference
Intelligence that computes,
not just retrieves.
Structured state preserves relationships, conditions, timelines, and evidence across fast-changing technology domains before inference begins.
Connectionary Raises Pre-Seed Funding from Bluepoint Partners
Connectionary has raised pre-seed funding from Bluepoint Partners to accelerate the development of AID, its AI decision infrastructure, and expand into finance, semiconductors, aerospace, cybersecurity, and other industries where trusted analysis is critical.
Connectionary, a company transforming unstructured information into structured, decision-ready intelligence before AI inference, today announced that it has raised a pre-seed funding round from Bluepoint Partners, a leading deep-tech accelerator and early-stage venture investor.
The funding will accelerate development of Connectionary's proprietary AID (Atomic Intelligence Decomposition) platform and support the company's expansion into industries where reliable, explainable, and cost-efficient AI decision-making is critical, including finance, semiconductors, aerospace, cybersecurity, and global policy intelligence.
Preparing Information Before AI Inference
Generative AI has dramatically expanded the amount of information organizations can process. At the same time, it has introduced a fundamental trade-off. Providing AI systems with more information improves context but increases inference costs, latency, and operational complexity. Providing less information reduces cost but often sacrifices accuracy, consistency, and reliability.
Connectionary believes this challenge should be addressed before inference begins.
Its proprietary AID (Atomic Intelligence Decomposition) technology transforms unstructured information into structured, decision-ready intelligence by organizing information into reusable semantic building blocks. Instead of repeatedly processing large volumes of raw information, AI systems retrieve only the information required for each decision.
This approach forms the foundation of Connectionary's AI Decision Infrastructure, which prepares information before AI inference to improve accuracy, consistency, explainability, and computational efficiency.
Starting with Financial Services
Connectionary has established financial services as its initial commercial market. The company has completed proof-of-concepts with major financial institutions in South Korea and was selected for Shinhan Future's Lab, the startup acceleration program operated by Shinhan Financial Group.
Building on this foundation, Connectionary plans to expand into industries where trustworthy AI-driven decisions are increasingly important, including semiconductors, aerospace, cybersecurity, and global policy and regulatory intelligence.
Bluepoint Partners on the Investment
Bluepoint Partners invested in Connectionary based on its technical approach to addressing one of the fundamental challenges facing AI adoption.
"The trade-off between information processing costs and accuracy is a structural challenge that every organization adopting AI will eventually face. We were impressed by Connectionary's technical approach to addressing this challenge, the exceptional capabilities of its founding team, and the platform's potential to expand from financial services into a broad range of industries."
Hweejae Ahn (Jess Ahn) · Senior Principal / Team Lead, Bluepoint Partners
CEO Commentary
"The future of AI will not be defined simply by larger models. It will be defined by better decisions. AI cannot make reliable decisions unless it starts with reliable information. Our mission is to build the foundation that transforms unstructured information into structured, decision-ready intelligence before AI inference, enabling organizations to improve decision quality while significantly reducing computational costs."
Jiwon Lee · CEO, Connectionary
About Connectionary
Connectionary develops technology that transforms unstructured information into structured, decision-ready intelligence before AI inference.
Its proprietary AID (Atomic Intelligence Decomposition) platform forms the foundation of the company's AI Decision Infrastructure, enabling organizations to improve AI accuracy, consistency, explainability, and computational efficiency across complex decision-making workflows.
The company is initially focused on financial services and is expanding into industries where reliable AI-powered decision-making is mission-critical.
Media Coverage
Structure before inference
Intelligence that computes,
not just retrieves.
Structured state preserves relationships, conditions, timelines, and evidence across fast-changing technology domains before inference begins.