Investment Thesis

MAKR Venture Fund I targets early-stage investments in AI infrastructure, autonomous systems, and enterprise middleware. The fund focuses on companies building foundational technology layers that sit between frontier models and production deployment, a segment where technical depth creates durable competitive advantage.

The thesis rests on three structural observations:

Frontier model capabilities are commoditizing; orchestration and deployment infrastructure are not
Enterprise adoption of AI agents requires compliance, audit, and governance tooling that incumbents have not built
The transition from single-model to multi-agent architectures creates a new infrastructure category with limited competition

Fund Terms

Parameter	Value
Target Fund Size	$25M
First Close	$10M
Management Fee	2.0%
Carried Interest	20%
Target Check Size	$500K -- $2M
Fund Term	10 years (+ 2 ext.)
Investment Period	4 years
Target Portfolio	15 -- 20 companies

Table 1: Summary fund terms. Full terms in LPA.¹

Portfolio Construction

Sector allocation

The fund allocates across three verticals, weighted toward infrastructure plays that benefit from long-term platform lock-in.

Agent Infrastructure (40%) -- orchestration, memory, evaluation, and deployment systems for autonomous AI agents
Enterprise AI Middleware (35%) -- compliance tooling, data governance, and integration layers for regulated industries
Applied AI Systems (25%) -- domain-specific AI applications in financial services, legal, and healthcare

Stage focus

The fund targets pre-seed through seed-stage companies. Typical entry point: post-prototype, pre-revenue, with demonstrated technical differentiation and at least one design partner in a regulated industry.

Investment Committee Note MAKR maintains a strict policy of leading or co-leading every investment. The fund does not participate in rounds where it cannot secure board observation rights and quarterly financial reporting. This policy ensures governance visibility across the portfolio.

Team

The general partner team combines operating experience in AI infrastructure with institutional investment backgrounds. The founding GP has served as Chief Strategy Officer at a frontier AI company and Managing Partner at a seed-stage venture firm, with direct experience in fund formation, portfolio construction, and LP reporting.

Advisory network

The fund maintains a curated advisory board of 8 domain experts spanning enterprise AI, financial regulation, and fund administration. Advisors provide deal flow, technical diligence support, and portfolio company guidance on a retained basis.

Contact

For inquiries regarding MAKR Venture Fund I, L.P., contact contact@makrvf.com.

¹ This document is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities. See the Limited Partnership Agreement for complete terms and risk factors.