[Array VC] 15 Themes We’re Most Excited to Back
Reach out to deals@array.vc if you are building in these areas!
Array Ventures invests $250k-$3m checks at formation. If you are starting a company in AI Infrastructure, making any industry such as healthcare, finance, manufacturing, supply chain, etc. better. Email us at deals@array.vc.At Array Ventures, we launched our AI Labs to actively build, experiment, and learn alongside the founders we back. In just six months, we’ve generated over 500,000 lines of code developing internal tools and running hands-on experiments. The lab allows us to rapidly test new ideas, evaluate emerging products, and deeply understand the realities of building with AI.
When companies pitch to us, we don’t just review decks, we use the products. If a company is pre-product, we can often relate directly to the underlying challenges through our own building experience. In many cases, we attempt to recreate parts of a product ourselves to understand the technical complexity, tradeoffs, and whether alternative approaches or workarounds exist.
There are many compelling areas to invest in AI, but our focus is shaped by the challenges we encounter firsthand in the lab, as well as the needs our portfolio companies consistently raise. These experiences guide where we believe the AI stack still needs meaningful improvement.
Below are the areas we are most excited to invest in at Array Ventures today. If you’re building in or adjacent to any of these spaces, we’d love to connect. We are actively investing and can review pitches within 48 hours.
Self-driving operators: “AI suggests” to “AI does”
AI Governance Infrastructure: Control Layer Systems
AI Economics Infrastructure: Do more with less
Edge Intelligence: Inference, Optimization, Efficiency
Embodied World Models: Physical AI
Symbolic AI: Deterministic Reasoning
Knowledge-infused AI: Context Management
Energy Infrastructure: Hardware Bottleneck
Life Operators: Personal companion
Agent Economy: Transaction and commerce
Verifiable AI: On-Chain Proofs
Agent Learning Systems: RL and Training Loops
Vertical AI: Make any industry efficient
Content Authenticity: AI Manipulation
Boring Email Company: Just make my Inbox better :)
Thanks
Array Ventures Team
Our content is getting interesting everyday with our AI experiments. You can get those updates in between these quarterly updates on X and LinkedIn.
One thing I keep noticing in AI investing conversations is how often the control layer gets implied but not actually built.
That’s the gap we’re working on with Chaos Circle, and it maps directly to several areas people say they’re excited about:
• AI Governance Infrastructure / Control Systems — we make execution risk, ownership gaps, and accountability visible before automation compounds them
• Symbolic AI / Deterministic Reasoning — no black boxes; we use explicit, explainable scoring across intent, process, execution, external dependencies, and outcomes
• Knowledge-Infused AI / Context Management — preserving organizational context so AI systems act on reality, not abstractions
• Vertical AI Enablement — sitting below applications as infrastructure that enterprise, ops, HR, and product systems depend on
We intentionally don’t rush from “AI suggests” to “AI does.” Automating ambiguity doesn’t remove it — it scales it.
Control before speed feels boring right up until it’s missing.
Hi Shruti! I think one of the interesting opportunities to build for in AI is verticalized SaaS, especially for Legal and Finance. I think there's opportunity to build AI-Native Law Firms, Domain-specific AI Agents and Cybersecurity solutions for law firms. Furthermore, startups can build compliance solutions for AML and KYC.
I've written a post analyzing three whitespaces for investment opportunities in the LegalTech sector for 2026. Would love to get your thoughts on it!
https://open.substack.com/pub/harshithviswanath/p/three-legaltech-whitespace-plays?utm_source=share&utm_medium=android&r=4y4gfu