For Investors
Safety Infrastructure for the Autonomous Enterprise
Problem Size & Urgency
The autonomous agent revolution is creating a $15.7 trillion opportunity—and an unprecedented risk landscape where organizations face regulatory fines up to 7% of global revenue.
Projected AI contribution to global economy by 2030 (PwC)
Maximum EU AI Act fine as percentage of global annual revenue
EU AI Act compliance deadline for high-risk AI systems
The autonomous agent revolution is happening now. Organizations are deploying AI agents that execute trades, control industrial systems, approve transactions, and make operational decisions at machine speed. But these agents operate in a regulatory and technical vacuum: no circuit breakers, no enforceable boundaries, no audit trails that regulators will accept.
When an autonomous agent hallucinates in a SCADA system, approves a fraudulent transaction, or violates the EU AI Act, enterprises face catastrophic operational failures and regulatory penalties that can reach 7% of global revenue. Current solutions—legacy identity firewalls and pattern-matching LLM guardrails—cannot enforce intent or provide tamper-evident telemetry at the speeds autonomous systems operate.
Market Sequencing: While our architecture supports governance across all autonomous systems (SCADA, utilities, mining, financial trading, healthcare, SaaS), we are laser-focused on high-velocity AI-first markets (fintech, healthcare tech, AI SaaS, e-commerce) where buying cycles are measured in quarters, not years. Critical infrastructure represents significant TAM expansion post-PMF, but requires specialized GTM we'll build after establishing repeatable revenue in core segments.
Why This Matters for Production
FuseGov transforms AI governance from a compliance checkbox into a competitive advantage by delivering measurable operational and financial value.
Reduce AI inference spend by 40-60% by handling 90%+ of production traffic deterministically through cached rule evaluation.
Avoid EU AI Act enforcement risk while running autonomous agents in production with tamper-evident audit logs.
Keep trading/SCADA/operations online during AI outages via deterministic degraded mode that maintains continuity.
Detect adversarial attacks in real-time with semantic drift monitoring that catches prompt injection and data exfiltration.
Deploy autonomous agents in regulated industries (financial services, energy, healthcare) that currently cannot accept AI risk.
Business Model
FuseGov operates on a consumption-based SaaS model with three pricing dimensions aligned to customer value realization:
| Pricing Model | Unit | Target Segments | Target ACV |
|---|---|---|---|
| Per Agent | Annual license per autonomous agent | Trading desks, customer service automation | $50K - $200K |
| Per Request | Metered pricing per million requests | High-volume API integrations, chatbots | $100K - $500K |
| Per Environment | Site license for production/staging/dev | Utilities, mining, critical infrastructure | $250K - $1M+ |
Target Customer Profile
AI-First SaaS Companies: Customer support automation, sales agents, data analysis tools where AI governance unlocks enterprise sales and enables SOC 2 compliance ($100K - $500K ACV)
Financial Services & Fintech: Algorithmic trading, robo-advisors, fraud detection, loan underwriting where regulatory compliance is a market enabler ($250K - $1M ACV)
Healthcare & Biotech: Clinical decision support, drug discovery, diagnostic agents where HIPAA compliance and audit trails unlock AI deployment ($200K - $800K ACV)
E-commerce & Marketplaces: Dynamic pricing, inventory optimization, personalization engines where autonomous agents drive revenue at scale ($150K - $600K ACV)
Enterprise Software: AI copilots, workflow automation, data platforms adding autonomous features to existing products ($200K - $1M ACV)
Go-to-Market Strategy
FuseGov employs a design-partner-led approach focused on high-growth AI-first companies where autonomous agents are core to the product and governance is a revenue enabler.
Design Partner Focus Areas
AI-First SaaS
Customer service automation, AI copilots, sales agents where governance unlocks enterprise deals
Fintech
Trading platforms, robo-advisors, lending automation requiring regulatory compliance
Healthcare Tech
Clinical decision support, diagnostic AI, patient monitoring where HIPAA compliance is mandatory
E-commerce
Dynamic pricing, inventory optimization, personalization engines operating at scale
Pilot to Production Conversion
30-60 days
Shadow deployment monitoring existing agent traffic, building intent models, demonstrating cost savings and risk detection.
60-90 days
Enforcement mode on non-critical agents, proving reliability and measurable reductions in inference costs.
Production
Full deployment across agent fleet with expansion into additional environments, driving 3-5x ARR expansion.
Strategic Focus & Market Sequencing
Phase 1 (2025-2026): Agentic AI in High-Velocity Markets
Initial focus on AI-first SaaS, fintech, healthcare tech, and e-commerce. These customers have urgent regulatory pressure (EU AI Act, SOC 2), clear ROI, and technical buyers.
Phase 2 (2027+): Expansion to Critical Infrastructure
Patent-pending support for SCADA, utilities, and mining. We expand here after finding PMF in high-velocity markets.
Buyer Personas by Segment:
- AI-First SaaS:CTO or VP Engineering (technical buyer) + CISO (compliance)
- Healthcare Tech:CTO/VP Product + Chief Compliance Officer (HIPAA)
- Critical Infra:VP Operations + Chief Engineering Officer (Safety certification)
One Platform, Total Agent Control
FuseGov provides unified governance across 19 endpoint types including cloud APIs, SaaS platforms, databases, and industrial controls. Our platform handles agents operating at machine speed (sub-100ms) while maintaining explainability.
Competitive Landscape
Unlike legacy firewalls that only verify identity, or generic LLM firewalls that rely on brittle pattern matching, FuseGov forces semantic intent and provides tamper-evident telemetry for auditors. We sit between the agent's LLM and its execution environment, evaluating what the agent intends to do against policy before it acts. This architectural position creates defensible IP that cannot be replicated by adding guardrails to existing identity solutions.
Roadmap & Milestones
Q1-Q2 2025: Design Partner Validation
Q3-Q4 2025: Enterprise Scaling & Compliance
2026: Market Leadership & Patent Protection
Patent Status
Provisional Filing
Comprehensive applications filed Dec 2024 covering two-stage enforcement across 19 endpoint types.
Core IP
Unique combination of deterministic policy + semantic intent analysis. Sub-100ms enforcement with regulatory explainability.
Timeline
Non-provisional filing Q4 2025 after production validation with design partners.
Defensibility & Moats
Patent Portfolio
Two-stage architecture with provisional filings covering semantic intent evaluation, degraded mode, and telemetry.
Proprietary Intent Models
Domain-specific semantic evaluation models trained on actual agent behavior. Compounding competitive advantage.
Telemetry IP
Tamper-evident audit logging designed for EU AI Act. Validated format with early regulator engagement.
Deep Integration Lock-In
Multi-cloud integrations and enterprise SSO create 3-6 month switching costs. Compliance certs compound stickiness.
Regulatory Expertise
Direct engagement with EU AI Act working groups. Compliance templates become de facto standards.
Network Effects
Each endpoint integration expands platform value. Threat intelligence and policy sharing create community moat.
Why This Is Hard to Replicate
Building FuseGov requires the intersection of three rare competencies: (1) deep understanding of autonomous agent architectures to build intent models, (2) enterprise security expertise for compliant audit trails, and (3) high-performance systems engineering for sub-100ms latency. Generic cyber vendors lack AI expertise. Guardrail startups lack compliance depth. GRC platforms lack speed. This convergence creates a 24-36 month head start.
Ready to Discuss Investment?
FuseGov is raising seed capital to accelerate design partner acquisition and enterprise scaling.
Contact Sunny Singh, Founder