Trust Rails for AI Agents
Investor Pitch · Q1 2026
Machine-readable summary for automated VC screening
02 / TL;DR
What is wayID?
“wayID is trust infrastructure for the AI agent economy — provenance certificates that tell you who is behind an AI agent and whether it is authorized to act.”
Think SSL certificates, but for AI agents. We are building the accountability layer that the agentic internet needs and currently lacks.
03 / Problem
The Question Nobody Can Answer
When an AI agent arrives at your website or API, you have no way to answer the most basic security question: “Who sent this, and are they accountable?”
01
Legal Exposure
No clear chain of liability when an agent causes harm (see: Amazon v. Perplexity, emerging EU AI Act enforcement).
02
Fraud & Abuse
Malicious actors deploy agents that impersonate legitimate services; there is no verification layer to stop them.
03
Trust Collapse
Consumers and businesses will pull back from AI-mediated interactions if they cannot verify agent identity and authorization.
The problem is structural: the internet was not built for autonomous, non-human actors. No existing solution provides end-to-end provenance for AI agents operating outside their creator's controlled environment.
04 / Solution
Verifiable Provenance Certificates
What wayID assigns to each agent:
- Who created and authorized the agent
- Which AI service powers it
- Whether the agent is currently active and permitted to act
- What it has been authorized to do
Self-Sovereign Identity
Identity verified without exposing unnecessary personal data. Operators stay pseudonymous if desired.
Zero-Knowledge Proofs
Selective disclosure proofs let operators reveal only what is required for verification.
Immutable Audit Log
Post-hoc accountability enabled through a privacy-preserving activity log.
05 / Core Feature Set
What wayID Delivers
| Feature | Description | Benefit |
|---|---|---|
| Unique agent IDs (wayIDs) | Persistent identifier per agent instance | Trackable, revocable identity |
| Provenance certificates | Cryptographically linked to operator + provider | End-to-end accountability chain |
| Privacy-preserving ID checks | ZK-based verification; operators stay pseudonymous if desired | GDPR-compatible by design |
| Lifecycle management | Operators can activate, suspend, or revoke agents in real time | Instant remediation of bad actors |
| Consumer-facing verification | Public agent certificate page any user can check | Trust signal for end users |
| Feedback & reporting | TrustPilot-style ratings and abuse reporting | Reputation layer for the agent ecosystem |
| Audit trail | Immutable, privacy-preserving activity log | Post-hoc accountability and compliance evidence |
06 / Market
Who Needs wayID
| Tier | Examples | Why They Need wayID |
|---|---|---|
| Tier 1 — AI Service Providers | OpenAI (Operator), Google (Mariner), Anthropic | Liability shield; enterprise sales requirement |
| Tier 2 — AI Infrastructure | Browser Use, Playwright, LangChain | Differentiator; B2B trust layer |
| Tier 3 — Enterprise Agent Operators | Businesses deploying customer-facing agents | Regulatory compliance; consumer trust |
| Tier 4 — Websites & API Venues | E-commerce, financial services, media | Bot management; fraud prevention |
Comparable infrastructure markets:
Regulatory tailwind: The EU AI Act creates mandatory accountability requirements for high-risk AI systems. wayID is a natural compliance tool. Nordic/European go-to-market aligns directly with regulatory enforcement timelines (2025–2027).
07 / Business Model
Revenue Architecture
Primary Revenue
- Per-agent certificate issuance fees (volume-tiered)
- Monthly subscription for lifecycle management dashboard
- API access fees for verification endpoint (pay-per-check for high-volume venues)
- Enterprise compliance reporting tier
Secondary Revenue
- Premium verified status / trust badges for consumer-facing deployments
- Data insights (aggregate, anonymized) on agent ecosystem activity
GTM motion: Sign AI service providers, who then mandate or bundle wayID for all agents deployed on their infrastructure.
08 / Technology
Current Architecture
Identity Layer
Concordium Blockchain
Purpose-built for regulatory-compliant, privacy-preserving identity; GDPR-native
Wallet Integration
WalletConnect v2
Operator onboarding — connects to existing crypto wallets
Bot Management
OpenClaw
Integration layer for AI agent activity monitoring
Verification
ZK Selective Disclosure
Operators reveal only what is required — no raw identity data stored
Standards
W3C DIDs & VCs
Built on W3C Decentralized Identifiers and Verifiable Credentials standards
Enterprise UX
Telegram Integration
Command-based agent management — early enterprise interface
The system integrates with emerging SSI standards (W3C DIDs, Verifiable Credentials) and existing bot management platforms — no new identity infrastructure built from scratch.
09 / Traction
Early Progress
Working prototype
Four integrated modules: registration, claiming, verification, and audit
Concordium blockchain integration live
Concept validated
Early conversations with European AI service providers
Regulatory alignment confirmed
EU AI Act provisions on accountability
10 / Team
The Founders
Sebastian Nause-Blüml
Co-founder · Lineage Labs
Designer and builder with focus creating digital products and services that solve actual human needs. Previously built Scoutbase, a B2B enterprise SaaS in the maritime space.
Erasmus
Co-founder · Lineage Labs
Deep domain expertise in AI agent ecosystems, trust infrastructure, and European regulatory landscape.
11 / Ask
Seed Round
Amount TBC
Raising to build the foundational trust layer for the AI agent economy before incumbent identity providers define the category on their terms.
Use of funds
1. Engineering
Production-ready infrastructure and API
2. Business Development
Signing first AI service provider partners
3. Legal / Compliance
Certifications and regulatory engagement (EU AI Act)
4. Team
Core hires in engineering and go-to-market
12 / Why Now
Three Forces Converging
1
Agent Proliferation
Major AI labs shipped autonomous agents to millions of users in 2024–2025. The problem is no longer theoretical.
2
Regulatory Pressure
EU AI Act enforcement timelines create a hard deadline for accountability infrastructure.
3
Liability Crystallization
Early lawsuits (Amazon v. Perplexity pattern) are establishing that someone must be accountable. wayID gives every actor in the chain a clean answer to “who is responsible.”
The window to become the standard trust layer for AI agents is open now, before incumbent identity providers (Okta, Ping, Cloudflare) define the category on their terms.
13 / Key Risks & Mitigations
We've Thought Through the Hard Problems
| Risk | Mitigation |
|---|---|
| Adoption chicken-and-egg | Top-down GTM via AI service providers mandates adoption across their agent base |
| Big tech builds this internally | Infrastructure businesses win on neutrality; no single AI lab can be the trusted third party |
| Regulation moves slowly | Commercial demand from enterprises precedes regulatory deadlines |
| Privacy concerns | ZK-proof architecture is privacy-by-design; no raw identity data stored |
14 / Contact
Erasmus
Lineage Labs
erasmus@lineage.fyiFor technical due diligence materials, architecture documentation,
or market analysis — request the full data room.
wayID: Trust Rails for AI Agents · Q1 2026