Invest in SOLVUH
Production-Ready Agent Orchestration with Trust Scoring & Safety Governance
What you'll unlock with access
Approved accredited investors receive a single magic-link that reveals all of the following.
- Full pitch deck outline — 12 slides covering problem, solution, market, traction, team, and the ask
- Financial model summary — 5-year P&L, unit economics (LTV:CAC 22x), and use-of-funds breakdown
- Term sheet preview — non-binding Seed terms at $30M pre-money
- Full business plan — 10-section document with market, product, ops, and risk analysis
Why Invest in SOLVUH
Governance-First AI Agents
DEFCON safety levels, approval gates, and policy enforcement ensure every agent action is auditable, controllable, and compliant
Multi-Agent Orchestration
4-agent pipeline (Orchestrator, Architect, Implementation, Evaluator) with tier-based routing from 0-shot to full validation
Explosive Market Growth
$150B global AI infrastructure market growing at 42% CAGR as enterprises race to deploy governed AI agent workflows
Best-in-Class Unit Economics
22x LTV:CAC ratio with 6-month payback driven by sticky enterprise contracts and platform lock-in
320% YoY Growth
Rapid enterprise adoption as organizations recognize the critical need for AI governance and controlled agent deployment
MCP Swarm Integration
First platform with native Model Context Protocol support for governed multi-agent workflows with capability tokens and trust scoring
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Executive Summary
SOLVUH - Seed Investment Opportunity
1
Company Snapshot
SOLVUH is an enterprise-grade multi-agent AI governance platform that enables organizations to deploy, orchestrate, and control AI agents with trust scoring, sandbox execution, and full audit trails. Our 4-agent pipeline architecture, DEFCON safety levels, and MCP swarm integration provide the control layer enterprises need to adopt AI agents safely. With $65K MRR, 185+ modules, and 320% YoY growth, we are raising $6M Seed at a $30M pre-money valuation to accelerate product development and enterprise go-to-market.
2
The Opportunity
- Enterprise AI agent market projected to reach $18B by 2028 at 42% CAGR, yet no platform provides production-grade governance and safety controls
- 90% of enterprises cite AI safety and auditability as top barriers to agent deployment — governance is the critical missing layer
- Model Context Protocol (MCP) adoption is accelerating, creating demand for governed multi-agent orchestration platforms
3
Our Solution
SOLVUH provides the governance and orchestration layer for enterprise AI agents. Our platform features 4-agent pipeline orchestration, trust-scored execution, DEFCON safety levels, multi-model routing across Claude/GPT/Gemini/DeepSeek, and complete audit trails with proof bundles. Enterprises can deploy AI agents with confidence knowing every action is governed, auditable, and controllable.
Key Differentiators
Only platform with DEFCON-style safety levels for AI agents; native MCP swarm integration; 4-agent orchestration pipeline with trust scoring; multi-model routing across 4 AI providers; complete governance audit trail with replay capability
4
Business Model
Three revenue streams: Platform subscriptions ($2,499-$14,999/mo tiered by agents and executions), Enterprise contracts (custom pricing for large deployments with SLA guarantees), and Professional services (implementation, training, and custom agent development).
5
Traction
6
Team
Led by experienced enterprise AI and developer infrastructure founders with deep expertise in agent orchestration, AI governance, and scaling B2B SaaS platforms.
7
The Ask
We are raising $6M at a $30M pre-money valuation.
40% product & engineering, 25% go-to-market, 20% infrastructure & security, 15% G&A.
Pitch Deck
Business Plan
SOLVUH - Comprehensive Business Plan
Table of Contents
Executive Overview
SOLVUH is an enterprise-grade multi-agent AI governance platform that enables organizations to deploy, orchestrate, and control AI agents with trust scoring, sandbox execution, and full audit trails. Our 4-agent pipeline architecture, DEFCON safety levels, and MCP swarm integration provide the control layer enterprises need to adopt AI agents safely. With $65K MRR, 185+ modules, and 320% YoY growth, we are raising $6M Seed at a $30M pre-money valuation to accelerate product development and enterprise go-to-market.
We are raising $6M in our Seed round at a $30M pre-money valuation to accelerate growth, expand our product suite, and capture market share in the rapidly growing Enterprise AI & Agent Infrastructure sector.
Company Overview
Mission: To make AI agent deployment safe, auditable, and controllable for every organization.
Vision: To become the standard governance layer for enterprise AI agents, just as IAM became standard for cloud infrastructure.
Product: A multi-tenant AI agent orchestration platform with governance intelligence, trust scoring, multi-model routing, MCP swarm integration, and enterprise-grade observability. 117 database tables, 185+ Python modules, 5 risk tiers.
Technology Stack: FastAPI (Python), PostgreSQL, Redis, OpenTelemetry, Prometheus, Model Context Protocol (MCP), multi-provider AI integration.
Market Analysis
The enterprise AI agent platform market is projected to reach $18B by 2028 at 42% CAGR. As organizations move from experimental to production AI agent deployments, the governance gap is becoming critical. 90% of enterprises cite safety, auditability, and compliance as top barriers. Emerging regulations (EU AI Act, US AI frameworks) are creating mandatory requirements for AI governance — transforming governance from nice-to-have to must-have infrastructure.
Products & Services
- •4-Agent Pipeline: Orchestrator, Architect, Implementation, and Evaluator agents working in coordinated, validated pipelines
- •Safety Governance: DEFCON levels, approval gates, tool policies, and risk-tiered execution with sandbox isolation
- •Trust Scoring: Progressive trust levels (NONE to VERIFIED) with automatic capability escalation based on agent performance
- •Multi-Model Routing: Intelligent routing across Claude, GPT, Gemini, and DeepSeek based on task complexity and cost
- •MCP Swarm: Native Model Context Protocol integration for governed multi-agent workflows with capability tokens
- •Audit Trail: Complete governance audit with manifest tracking, replay capability, and cryptographic proof bundles
Competitive Analysis
Marketing & Sales Strategy
- •Developer-First: Free tier, open-source SDK, CLI tools, and developer community building through docs, tutorials, and conferences
- •Enterprise Sales: Direct sales targeting VP Engineering and CISO at Fortune 1000 with AI governance and compliance requirements
- •Partner Ecosystem: Integration partnerships with AI model providers, cloud platforms, and system integrators for co-sell distribution
Operations Plan
| Criteria | SOLVUH | LangChain | CrewAI | AutoGen |
|---|---|---|---|---|
| Safety Governance | ✓ | ✗ | ✗ | ~ |
| Multi-Agent Pipeline | ✓ | ~ | ✓ | ✓ |
| Trust Scoring | ✓ | ✗ | ✗ | ✗ |
| MCP Native | ✓ | ✗ | ✗ | ✗ |
Financial Projections
| Metric | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Revenue | $900K | $3.2M | $9M | $22M | $48M |
| COGS | $270K | $800K | $1.8M | $4M | $8.6M |
| Gross Profit | $630K | $2.4M | $7.2M | $18M | $39.4M |
| Gross Margin | 70% | 75% | 80% | 82% | 82% |
| Operating Expenses | $4.5M | $5.8M | $7.5M | $10M | $15M |
| EBITDA | ($3.9M) | ($3.4M) | ($300K) | $8M | $24.4M |
| Net Income | ($3.9M) | ($3.4M) | ($500K) | $7M | $22M |
Risk Analysis
Led by Sanjay Patel (CEO), serial entrepreneur with 15+ years in enterprise software and AI infrastructure; Ravi Kumar (CTO), AI systems architect who built production agent pipelines processing 1M+ tasks daily across 4 AI providers; and Anita Mehta (COO), former VP Customer Success at a leading AI governance startup, MBA from MIT Sloan.
Hiring Plan: Add 8 platform engineers (agent orchestration, MCP, observability), hire VP Sales and VP Developer Relations, expand customer success team from 2 to 6 within 12 months.
Implementation Timeline
- •Technology Stack: FastAPI, PostgreSQL, Redis, OpenTelemetry, Prometheus, MCP (Model Context Protocol), multi-provider AI integration (Anthropic, OpenAI, Google, DeepSeek)
- •Platform Scale: 117 database tables, 185+ Python modules, 5 risk tiers, 4 AI providers integrated, native MCP swarm support
- •Certifications Roadmap: SOC 2 Type II (Q3 2026), ISO 27001 (Q1 2027), FedRAMP Authorized (Q4 2027)
Term Sheet
SOLVUH - Seed Term Sheet (Non-Binding)
This term sheet is for discussion purposes only and is not binding. All terms are subject to negotiation and final documentation.
Revenue Projections
5-Year Financial Forecast
| Metric | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| Revenue | $900K | $3.2M | $9M | $22M | $48M |
| COGS | $270K | $800K | $1.8M | $4M | $8.6M |
| Gross Profit | $630K | $2.4M | $7.2M | $18M | $39.4M |
| Gross Margin | 70% | 75% | 80% | 82% | 82% |
| EBITDA | ($3.9M) | ($3.4M) | ($300K) | $8M | $24.4M |
| Net Income | ($3.9M) | ($3.4M) | ($500K) | $7M | $22M |
Revenue Growth
Use of Funds
How we will deploy the $6M raise
Core platform development, MCP swarm integration, multi-model routing, and governance engine hardening
Enterprise sales team, developer relations, conference sponsorships, and content marketing
SOC 2 certification, multi-cloud deployment, sandbox execution environments, and observability stack
Operations, legal, compliance, finance, and office
Unit Economics
Key financial metrics and efficiency ratios
Leadership Team
The people building SOLVUH
Sanjay Patel
CEO & Founder
Serial entrepreneur with 15+ years in enterprise software and AI infrastructure. Previously founded an AI workflow automation company acquired by a Fortune 500. Deep expertise in developer platforms, agent systems, and enterprise SaaS go-to-market.
Ravi Kumar
CTO
AI systems architect specializing in multi-agent orchestration, trust frameworks, and distributed systems. Built production agent pipelines processing 1M+ tasks daily across 4 AI providers. Expert in FastAPI, PostgreSQL, Redis, MCP protocol, and OpenTelemetry observability.
Anita Mehta
COO
Enterprise operations leader with experience scaling developer-first infrastructure companies. Former VP Customer Success at a leading AI governance startup. MBA from MIT Sloan with focus on enterprise software operations and developer community building.
Get in Touch
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Quick Facts
Available Materials
- Executive Summary
- Pitch Deck (12 slides)
- Business Plan
- Term Sheet
- Financial Projections