Small businesses are losing customers due to ineffective sales:
❌
Slow
responses
78% of buyers choose the company that responds first.
❌
Complex
AI solutions
65% of entrepreneurs cannot implement AI without technical knowledge.
❌
High
costs
Hiring and training employees is expensive.
📌 50% of leads are lost due to delayed follow-up.
The Solution:
Axelion AI Sales Agent
Fast
Instant responses via chat and email 24/7.
No-Code Integration
Set up in a single day, with no developers required.
Self-learning AI
Customizes responses and enhances conversion rates.
Hybrid model
Redirects complex queries to live sales agents.
Sales Analytics
Identifies bottlenecks and suggests actionable improvements.
Results
+25-30% in conversion rates, -50% in customer acquisition costs.
Market Opportunity
TAM
by (2028)
$22 billions
💠Key Segments: E-commerce, Real Estate, Finance, B2B SaaS
SAM
$5,5 billions
💠Key regions: US ($2.1 billion), Europe ($1.7 billion), Asia ($1.2 billion)
SOM
(3-5 years)
$500 millions
💠Target: 5000+ customers, $50+ million in annual revenue
📌 87% of small businesses are willing to use AI if it's easy to integrate.
Axelion Technology
AI That Sells!
NLP + Machine Learning
Understands the intent behind inquiries, not just keywords.
Self-Learning
Analyzes previous interactions to continually refine and enhance responses.
AI-to-Human Handover
Hybrid communication model for seamless escalation to human agents when needed.
No-Code Integration
Easily integrates with WhatsApp, Telegram, Email, and CRMs (HubSpot, Salesforce).
Sales Analytics
In-depth reporting and data-driven recommendations for continuous optimization.
Simplicity
The solution 94% of small businesses are looking for.
🏆 Axelion’s Competitive Edge
Seamless No-Code Integration
Advanced AI Adaptation and Personalization
Support for Multiple Communication Channels
📌 AI-powered sales solutions help businesses reduce costs by 30-50%.
Financial Performance and Growth Plans
🪙 Monetization Model:
Subscription
Flexible pricing based on lead volume.
Freemium
Free basic plan to drive user acquisition.
🚀 Development Phases:
MVP is ready
AI agent tested and validated.
Beta Testing
Ongoing with pilot clients.
12-Month Plan
500+ paying customers.
International market expansion.
Securing investment for scaling.
📌 AI sales investments have already reached $7 billion, indicating a rapidly growing market
Axelion Roadmap (2025–2028)
Year 1: Q2 2025 – Q1 2026 From Launch to Global Scaling
MVP and Beta Testing (Q2–Q3 2025)
● Finalize AI agent and No-Code integration. ● Test with 10+ pilot clients across e-commerce, B2B, and finance. ● Collect feedback and refine self-learning AI algorithms.
Market Entry & Initial Sales (Q4 2025 – Q1 2026)
● Official Axelion launch. ● Introduce Freemium model for accelerated customer acquisition. ● Target: 500+ active users, 100+ paying customers.
Funding (Q1 2026)
● First Pre-Seed Investment Round (€300-500k). ● Participation in Accelerators (Station F, Wilco).
Expected Metrics by the End of Q1 2026
Revenue
€100–200k.
Customers
100+
Long-term Goal (2028+)
For investors: Get access to the full presentation via email.
Why France?
France is the ideal starting point for an AI startup
Support
€1.5 billion in government support for AI development
E-commerce market
€150 billion (2024), with high demand for automation.
Complex solutions
65% of small businesses are seeking AI solutions.
European SaaS hub
A strategic gateway to the EU market.
📌 AI startup investments in France have grown by 80% over the past 3 years.
Axelion Team: Key Roles and Responsibilities
Axelion is founded by two experts with complementary skills in AI, business and marketing.
CEO (Chief Executive Officer)
Maxim Levoshin Visionary & Strategist
Key Responsibilities:
Product development and company strategy.
Investor, partner, and client relations.
Financial and legal management.
Team development and corporate culture.
Founder and Leadership Background: ✔️ 14+ years of experience in business strategy and startup management. ✔️Understanding of SaaS business models. ✔️ Ability to attract investment and develop partnerships.
● Development and enhancement of AI algorithms. ● Leading the development team. ● System architecture and scalability. ● CRM, messenger, and email integrations.
Professional Background: ✔️ Deep knowledge of AI, NLP, and machine learning. ✔️ More than 10 years of experience with cloud technologies (AWS, GCP, Azure). ✔️ Expertise in building scalable SaaS platforms.