Workforce OS — Pre-Seed 2026
Identity, lifecycle, compliance, and reputation — for every agent you run.
Agents have roles, managers, delegated authority, and organisational relationships. The right model is workforce management. We are building the operating layer for organisations deploying agents at scale: a registry, lifecycle engine, compliance record, and reputation system — for every agent, and for every engineer who runs them.
The Wrong Mental Model
AI agent management tools are being built by infrastructure engineers. Their frame: agents are software assets. Apply IT asset management — inventory, patch, monitor, deprecate. A server does not make decisions. An agent does.
The Compliance Gap
No agreed way to evidence AI agent governance in a SOC2 or ISO27001 audit. No lifecycle engine. No model for agent-to-agent trust. Cost attribution is opaque. Incident response is ad hoc. DD questionnaires about AI usage cannot be answered.
| Asset Framing — Current | Worker Framing — Ours |
|---|---|
| Inventory | Identity with organisational context |
| Access control | Delegated authority with scope limits |
| Monitoring | Performance management against business outcomes |
| Deprovisioning | Offboarding with full downstream propagation |
| Cost tracking | Cost attribution by owner, team, and workflow |
| Compliance imposed on engineers | Reputation earned by engineers |
Identity, lifecycle, delegated authority, and cost attribution for every agent your organisation runs.
Immutable audit trails, incident response, and compliance evidence built for enterprise due diligence.
A governance score and certification system that makes running agents well a professional credential.
Why It Changes Everything
Compliance tools are tolerated.
Tools that make people look good are adopted.
When engineers can point to a governance portfolio in a performance review or job interview, registration accuracy improves, audit trails improve, and the platform spreads through career moves rather than sales cycles. The reputation layer is not a feature — it is the adoption mechanism.
The product runs on a dark canvas with IBM Plex Mono throughout. Status carries colour. Everything else is structural.
Access requires an invitation or waitlist approval.
Open app.elltri.ai →TAM — 2030
$14B
Global AI governance software market. GRC spend converging with agent deployment growth.
SAM — 2030
$650M
Enterprise companies actively deploying AI agents with compliance requirements. Our deployable ICP globally.
Year 3 ARR Target
$8-12M
50–80 customers across Growth and Enterprise tiers. Achievable without dominant market share.
| Segment | 2024 | 2027E | 2030E |
|---|---|---|---|
| Global GRC Software | $47.8B | $65B | $107B |
| AI Governance Subsegment | $1.2B | $5B | $14B |
| AI Agent Management (new category) | Nascent | $800M | $4.5B |
| Our Serviceable Market (ICP) | — | $120M | $650M |
Primary ICP
Series B to pre-IPO SaaS
100–2,000 employees, already using Vanta or Drata, starting to deploy AI agents at scale. Compliance function in place. Agents in production. No governance solution.
Secondary ICP
Mid-market FSI, healthcare, defence-adjacent
Regulatory requirements make agent governance mandatory rather than optional. Higher ACV, longer sales cycles, stronger retention.
Starter
$750
per month
Up to 25 agentsGrowth
$3,500
per month
Up to 250 agentsEnterprise
$25K+
per month
Unlimited agentsThe Expansion Dynamic
4.7x ARR increase with zero incremental sales cost.
A customer landing at 25 agents is typically at 250 within 12 months as deployment scales. At Growth tier pricing that is a 4.7x ARR increase with no sales effort. Net revenue retention target of 140%+. Per-agent pricing means revenue grows as a direct function of agent deployment — structurally, not aspirationally.
Month 7
First paying customer
Validates enterprise willingness to pay for agent governance. Design partner programme active from month 4.
Month 9
10 paying customers
Validates repeatable sales motion. MVP hardening complete. Reputation tier 1 certification launched.
Month 15
$500K ARR run rate
Series A narrative established. Okta, ServiceNow, Drata integrations live. Self-serve mid-market motion active.
Month 18
$1M ARR — Series A initiated
Series A raise initiated. External portable credential programme live. First enterprise sales motion.
Month 24
$2M ARR — Series A close
Series A close target. 24+ months runway from pre-seed raise covers the full validation period.
$5,000,000
Pre-Seed — May 2026 — 24 months runway
36%
People
$1,800,000
Co-founders plus 2 engineers year 1. Scale to 6–8 headcount by month 24 including first commercial hire.
32%
Strategic Reserve
$1,600,000
Buffer for extended runway, opportunistic hires, and Series A preparation.
12%
Product & Infrastructure
$600,000
Cloud, tooling, MCP integration development, security hardening.
10%
Go-to-Market
$500,000
Customer acquisition, events, content, design partner programme.
6%
Operations
$300,000
Dublin office, insurance, finance, admin across 24 months.
4%
Legal & Compliance
$200,000
IP protection, corporate structure, enterprise contract framework.
Target Investor Profile
Enterprise SaaS / Infrastructure funds
Heavybit, boldstart, Chapter One
AI-native funds
AIX Ventures, Conviction, Radical Ventures
Operator angels
Okta, Workday, ServiceNow, Rippling alumni — immediate category validation
Enterprise GRC angels
Understand the Vanta wedge and the compliance buyer motion
Early Access
We are running a structured design partner programme with a small number of early enterprises. Investors: request a deck and financials below.
We will be in touch. Investors: deck sent within 24 hours.