Helport Ai Limited · NASDAQ:HPAI
Helport Ai — Investor Presentation (June 2026)
21 slides from Helport Ai's investor presentation, June 2026
Slide 1: AI Labor Infrastructure
AI Labor Infrastructure We don’t sell AI tools — we deliver AI labor. NASDAQ: HPAI June 2026 ir.helport.ai 1
Slide 2: Disclaimer: Forward-Looking Statements
Disclaimer Forward-Looking Statements This presentation (together with oral statements made in connection herewith, the “Presentation”) has been prepared exclusively for informational purposes on a confidential basis and is only directed at persons to whom such Presentation made lawfully be communic
Slide 3: Disclaimer: Use of Projections
Disclaimer Use of Projections This Presentation may contain projected financial information with respect to the Company. Such projected financial information constitutes as forward-looking statements, is for illustrative purposes only and should not be relied upon as being predictive of future resul
Slide 4: AI Labor Platform
AI Labor Platform Transforming scarce human expertise into replicable, scalable productivity Mission Key Numbers Transforming human expertise into scalable AI labor. 40,000+ 6 Billion Active Software Users Supported Conversations Global Presence Dual Headquarters: Singapore & San $34.9M $1.9M Diego,
Slide 5: Investment Highlights
Massive TAM The enterprise customer communications market exceeds $250B—and largely depends on human labor. Enterprise AI still fails with leveraging proprietary knowledge, replicating expert decision-making, and driving real revenue outcomes. This leaves a multi-billion dollar gap that remains fund
Slide 6: The Shift Investors Can’t Ignore
The Shift Investors Can’t Ignore Enterprise AI is changing. The companies that win deliver outcomes — not tools. PAST NOW FUTURE → → Software Era Transition Era AI Labor Era AI tools → humans operate → AI deployed → 95% fail ROI test* AI delivers outcomes directly → slow, inconsistent output. Seat-
Slide 7: The Trillion $ Gap
The Trillion $ Gap Enterprises have AI. But AI doesn’t understand their business, their expertise, or their customers. No Private Knowledge No Process Alignment 01 02 LLMs don’t know your products, clients, General AI ignores workflows, compliance, pricing, or history and domain rules No Expert Judg
Slide 8: Introducing: The AI Labor System
Introducing: The AI Labor System A digital platform that creates and delivers expert AI labor at scale. Not HPAI Delivers ✕ A chatbot or Q&A interface ✓ Qualified Sales Leads ✕ An API / LLM SDK provider ✓ Booked Appointments ✕ A license-based SaaS product ✓ Customer Service Outcomes ✕ A consulting e
Slide 9: The AI Labor “Factory”
The AI Labor “Factory” Five integrated layers — from raw enterprise data to measured revenue outcome Enterprise KnowForge HyprX TwinX HelpHub Knowledge Knowledge AI Expert Clone Execution Settlement CRM · Docs · Calls Manufactures Clones decision patterns, Parallel task execution Orchestrates labor
Slide 10: Product Evolution = Productivity Evolution
Product Evolution = Productivity Evolution HPAI’s product portfolio follows a clear evolutionary path HyprX Expert TwinX Avatars • Replicates an expert’s cognitive paths and judgment logic AI Assist Co-Pilot • One person controls 2–5 AI • Designed for high-value avatars industries: finance, insuranc
Slide 11: Data to Revenue in 10–15 Days
Data to Revenue in 10–15 Days A repeatable, standardized production line — not a custom project. Each deployment is faster than the last. Data Import 1 CRM, logs, SOPs ingested Knowledge Modeling 2 Private AI knowledge graph Expert Training 3 Top performer behaviors AI Deployment 4 Agents live acros
Slide 12: A step-by-step framework to deploy, scale, and monetize AI labor
A step-by-step framework to deploy, scale, and monetize AI labor 3 Stages of AI Labor: From AI-Assisted Humans to Human-AI Integration Launch: AI Empowers Humans Accelerate: AI Replaces Humans Scale: AI + Human Integration • Action：Deploy AI assistants, • Action：AI handles workflows; • Action: Dynam
Slide 13: How We’re Different
How We’re Different Low-Skill Labor Expert-Level Digital Replicas Ordinary AI Agents HELPORT AI Expert Digital Replicas Workflow automation, skill stacking Proprietary knowledge + expert decision pathways Only capable of executing predefined, simple tasks Replicates the thinking patterns and decisio
Slide 14: Why We Win
Why We Win LLM vendors have models. SaaS has tools. BPOs have people. HPAI has all three. Capability LLM Vendors SaaS Tools BPO Firms HPAI Private Enterprise Knowledge ✕ ✕ ~ ✓ Expert Judgment Replication ~ ✕ ~ ✓ End-to-End Workflow Execution ✕ ✕ ✓ ✓ Performance-Based Pricing ✕ ✕ ✕ ✓ 10–15 Day Deploy
Slide 15: Already Proven at Scale
Already Proven at Scale Not pilots. Not experiments. Live enterprise deployments generating measurable outcomes. Google Cloud AI co-pilot across regulated government and healthcare contact Government & Healthcare environments Leading Global Logistics Provider Selected after global competitive evalua
Slide 16: Operating in Large, Labor-Intensive Markets
Operating in Large, Labor-Intensive Markets Replacing human labor and automating processes across large- scale customer interaction workflows. 16
Slide 17: Performance-Based Revenue
Performance-Based Revenue Real Customer Examples Mortgage Sales $10 Paid only when HPAI delivers a verified sales-ready lead For Enterprise Clients • Zero upfront investment required per Qualified Lead • No implementation risk Solar Sales • Immediate measurable ROI from day one $200 Pay only when a
Slide 18: Financial Performance
Financial Performance Profitable Today. Hypergrowth Tomorrow. Revenue ($M) $34.9M 60 56 39 2025 Revenue 40 27 35 18 20 0 2023A 2024A 2025A 2026E 2027E 4X Consecutive Profitable Years Net Income ($M) 10 7.4 4.8 4.3 17.9% 5 1.9 2.0 0 Revenue Growth (FY25) 2023A 2024A 2025A 2026E 2027E 18
Slide 19: The AI Labor Flywheel
The AI Labor Flywheel Network Effects Every client makes the system smarter, faster, and more defensible. Data Moat Every client adds proprietary training data — the advantage compounds over time. More Clients Expert IP Accumulated expert models become irreplaceable — difficult to reverse-engineer.
Slide 20: Scaling the Factory
Growth Investment Priorities Scaling the Factory Sales & Market Expansion North America enterprise team + Mexico buildout + channel partnerships Delivery Capacity Factory upgrades + deployment automation + QA + infrastructure Strategic BPO Acquisitions Acquire US-based BPO as entry point for rapid e
Slide 21: Thank You
ir@helport.ai Thank You NASDAQ: HPAI 21