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Meridian Labs
AI-native infrastructure layer for autonomous agent coordination
180K API calls / day
SC · Advisor
Fieldwork Protocol
Decentralised physical-world data verification for DePIN networks
12 enterprise pilots
MT · Advisor
Voltaic Finance
On-chain yield optimisation for institutional treasury management
$22M TVL
IM · Advisor
Deal 1 of 3
Meridian Labs
AI-native infrastructure layer for autonomous agent coordination
Key metrics
Traction
180K API / day
ARR
$480K
MoM growth
+22%
Team
3 founders
SVA Deal Score
Multi-dimensional signal quality assessment by our review team
84
/ 100
Profile strengths
- Founding team has deep Anthropic credentials — strong technical credibility
- Enterprise-grade traction: 7 design partners, 2 Fortune 500 LOIs before raise
- Clear technical differentiation with protocol-layer moat
Gaps to watch
- Go-to-market plan post-raise needs more specificity
- Pricing model for managed relay nodes not finalised
- No advisory board named in materials
Current ask
$2.4M SAFE, 20% MFN discount, no cap
Why now
Agent-to-agent coordination is an unsolved infra gap; first-mover window is 6–12 months
Diligence focus
Technical moat, existing enterprise pilots, and go-to-market velocity post-raise
Executive summary
Meridian Labs is building a lightweight coordination protocol that lets autonomous AI agents negotiate tasks, share context, and hand off work without centralised orchestration. The founding team includes two ex-Anthropic engineers and a distributed systems PhD. The product has been in private beta for 90 days with 7 enterprise design partners including two Fortune 500 infrastructure teams.
Problem
Multi-agent AI systems today require teams to hand-wire coordination logic for every deployment. There is no standard protocol for agent-to-agent context passing, capability negotiation, or task handoff — meaning every enterprise building with agents re-solves the same infra problem from scratch. This creates brittle systems, duplicated effort, and slow iteration cycles.
Solution
The Meridian coordination protocol provides a lightweight, open standard for agent identity, capability advertisement, task negotiation, and result passing. It integrates as a thin layer on top of existing model providers — no vendor lock-in. The SDK is available in Python and TypeScript; enterprise deployments can self-host or use Meridian-managed relay nodes.
Traction
- →180K API calls / day across 7 enterprise design partners
- →$480K ARR from two paid design partners on early access pricing
- →22% month-over-month growth in active agent connections
- →4,200 SDK downloads in first 60 days with zero paid marketing
- →LOIs from two Fortune 500 infrastructure teams for Q3 production deployment
Team
Arjun Sharma · CEO
Ex-Anthropic (infra lead, 3 yrs). Previously built distributed inference systems at scale. MIT CS.
Lena Kovacs · CTO
Ex-Anthropic (research engineer, 2 yrs). Distributed systems PhD, ETH Zurich. Protocol design lead.
Daniel Chen · Head of Growth
Ex-Stripe developer relations. Scaled developer community from 0 → 40K. Wharton MBA.
Use of funds
45%
Engineering (protocol core + managed relay infrastructure)
30%
Developer growth and enterprise sales (first 3 AE hires)
25%
18-month operational runway buffer while converting LOIs to contracts
Assigned SVA advisor
Dr. Sarah Chen
Partner, Horizon Capital
This advisor coordinates all introductions for this deal. Your meeting request goes directly to them.
Why this matches your mandate
- AI infrastructure mandate
- Seed stage fit
- USA geo match
This listing is an advertisement. Signal Advisory does not provide investment advice, make recommendations, broker transactions, custody funds, or execute transactions. Investors must conduct their own due diligence. Nomdon Tech Ltd · Registered in England No. 15462747.
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