Thrilled to announce @AICONIC_VC, $200M VC fund, investing in early-stage startups globally in AI, AI x Blockchain, Semiconductor, Robotics & Deep Tech. I am excited to launch this next chapter with offices in Singapore & Silicon Valley. We are backing iconic entrepreneurs who are building the future. The journey begins now!

Exaforce just closed a $125M Series B at $725M @AICONIC_VC proud to back @asingla77 and the @exaforceAI team alongside @MayfieldFund, @khoslaventures, @peakxvpartners, HarborVest, Seligman, EDBI, and MVP. Exaforce is building the agentic AI SOC — autonomous ‘Exabots’ across detection, triage, investigation, and response. Manual analyst workload down as much as 90%. techcrunch.com/2026/05/12/ex…

We @AICONIC_VC are proud to back EPIC Microsystems in their $21M Series A. Sabin, Wonyoung and team are reimagining data center power delivery with hybrid switched-capacitor architecture built for the megawatt rack era. #AIInfrastructure #DataCenter axios.com/pro/enterprise-sof…

The @AICONIC_VC team will be at OFC, The Future of Optical Networking and Communication, technical conference from Mar 15-19, 2026 in Los Angeles. If you are startups innovating in photonics area, let’s connect! Get in touch: contact@aiconicventures.com ofcconference.org/ #OFC2026

🚨Unified Data Semantics Context Graphs: the missing layer for Enterprise AI (2026) Enterprise AI is hitting a wall humans barely notice: semantics. “Revenue.” “Customer.” “Churn.” “Risk.” These mean different things in CRM vs billing vs data warehouse vs dashboards. Humans reconcile this with context precedent. AI agents can’t—and autonomous workflows break the moment they meet real-world ambiguity. What’s needed is a Context Layer with two components: 📍1) Unified Semantics Layer (Governed Meaning) A versioned, auditable ontology that defines what concepts mean and where they apply. Think policy-as-code for data: 👉 no tribal knowledge 👉 no hidden assumptions 👉 no “why did the agent do that?” surprises in production 👉 changes are explicit, reviewable, and roll-forward/roll-back capable 📍2) Context Graph (Decision Lineage) A graph that records each agent decision end-to-end: inputs → semantic definitions used → policies/overrides → action → outcome Every run produces lineage. Curated lineage (with active governance) becomes reusable precedent—the enterprise’s “case law” for AI decisions. Why this compounds (and why it’s investable): 👉 Coherent semantics reduce contradictory decisions brittle cross-system workflows 👉 Graph-grounded decisions reduce “confidently wrong” outputs by anchoring actions to curated, previously-resolved cases 👉 Decision traces create a flywheel: each governed run generates data that makes the next run more auditable reliable 👉 High switching costs: semantics governance accumulated decision history embed deeply over time 🕹️The structural insight: Data warehouses store facts after decisions. Context layers govern meaning and capture reasoning during decisions. Different category. Different moat. 📣 Our 2026 thesis: Companies building unified semantics decision lineage become core infrastructure for trustworthy, autonomous enterprise workflows. If you want to go deeper, @AICONIC_VC ‘s CTO Thanapong Boontaeng wrote a Medium post: medium.com/@thanapong_18619/… #EnterpriseAI #ContextGraph #SemanticLayer #AI #DataInfrastructure #MachineLearning

Memory is the New Moat in Agentic AI The LLM world is transforming from mere text generators into adaptive, self-improving agents—and at the heart of this evolution lies memory. No longer a simple vector database, memory is becoming a sophisticated tiered architecture with multiple forms and functions. Read our medium post here: medium.com/@pmukaya/memory-i… If you’re building memory systems, multi-agent infrastructure, or continual learning for this new era, let’s talk to us @AICONIC_VC: contact@aiconicventures.com

We're releasing Medmarks v0.1, the largest completely open-source automated evaluation suite for assessing the medical capabilities of LLMs! Developed in our @MedARC_AI community, w/ support from @PrimeIntellect So far we’ve explored 46 models to figure out the best!

Congratulations to Corintis team on their Series A1 led by @APLDdigital, with participation from @AICONIC_VC, @blueyard, @climbventures, @AcequiaCapital and others. Corintis builds advanced liquid cooling solutions for high-power GPUs/AI chips. With @nvidia’s B200 at 1200W and power requirements for GPU/AI chips projected to reach 8,000W by 2030, air cooling is obsolete—liquid cooling is now critical infrastructure. Excited to continue backing this innovation! 🚀

Applied Digital led a $25M investment in Corintis, further accelerating our leadership in high-performance AI Factories with strategic investments that set the industry's pace and continue to shape the future of AI infrastructure. $APLD Read more: ir.applieddigital.com/news-e…

The @AICONIC_VC team and I will be attending #NeurIPS, in San Diego from Dec 2-7. If you're building an AI startup and will be there, let's connect! Get in touch: contact@aiconicventures.com neurips.cc/

AICONIC invested in @ebots_inc, building intelligent robotic systems combining human-like dexterity w/ machine precision: 40um motion accuracy & 22um precision. Perfect for intricate final assembly—from smartphones to data center servers—where delicate hand dexterity is critical

Forget about OpenAI Agent Builder or n8n. Building Agents should be as simple as DM’ing someone. 🎉Introducing Pokee AI: a new platform designed to make building agents so simple, it feels like asking a friend!

AI is reshaping cybersecurity—but we're not ready. 77% of enterprise data leaks now involve AI-driven exfiltration. Only 5% of organizations feel confident in their AI security posture. New threats are accelerating: deepfake fraud, automated penetration testing turned malicious, polymorphic malware adapting in real-time We need a new security paradigm: • Compute architectures that monitor evolving attack vectors • Automated pipelines validating AI outputs • Cyber talent trained for systems moving faster than human supervision • Preemptive defense through formal verification—mathematical proofs of system correctness The solution requires global collaboration. We must bridge these strengths to protect data and digital identities at scale. Recommended reading from World Economic Forum on AI threats in 2025: weforum.org/stories/2025/09/…