Planerix
AI Execution Platform for Data-Driven Companies
Turn business data into insights, decisions, and automated execution.
Founder: Kyrylo Prolieiev
Planerix connects analytics, AI agents, and operational workflows to help companies continuously improve performance.
Core narrative
From passive analytics to measurable execution
2. Mission
Transform business data into operational decisions and continuous execution
Most companies collect large volumes of data from CRM, marketing, finance, and operations. Very few can convert this data into clear actions that improve performance.
Planerix bridges this gap by connecting analytics, AI agents, and execution in one platform.
Vision
The next generation of companies will be operated through AI-assisted systems
Instead of manually reviewing dashboards and coordinating across disconnected tools, organizations will rely on systems that continuously analyze performance, detect problems, and recommend actions.
Planerix is building the execution layer for AI-driven companies.
3. Problem
Businesses operate with fragmented tools
Modern companies use many software products that store valuable data but rarely interact with each other.
Core operational question still unanswered: What should we do next to improve performance?
The AI adoption gap
The issue is not lack of data
Many organizations invest in analytics and AI technologies but struggle to generate measurable business value. The main blocker is the missing connection between insight generation and operational execution.
4. Solution
Planerix is the execution layer for business data
Instead of static dashboards, companies get an operational system that continuously analyzes performance and drives actions.
Step 1
Integrate business systems
Connect CRM, ads, analytics, finance, and operational software.
Step 2
Normalize and analyze
Create one trusted operational layer from fragmented source data.
Step 3
Detect insights with AI
Use AI agents to identify patterns, bottlenecks, and opportunities.
Step 4
Generate actions
Convert findings into recommendations teams can execute immediately.
Step 5
Track impact
Measure delivered actions against business outcomes and KPI deltas.
5. Product
A unified operational data platform
Planerix integrates data from multiple business sources and processes it through a structured AI-ready architecture.
Architecture flow
Layer 1
Data ingestion
Layer 2
Data warehouse
Layer 3
Semantic analytics layer
Layer 4
AI agents
Delivered value in product
6. Value Proposition
Planerix transforms passive analytics into execution
Operational clarity
One system connecting marketing, sales, finance, and operations.
AI-driven insights
Agents continuously analyze performance and detect problems early.
Faster decision making
Teams receive actionable recommendations instead of static reports.
Execution tracking
Strategic goals connect directly with actions and measurable outcomes.
7. Why Now
Technology conditions now support AI-driven execution platforms
Explosion of business data
Companies now generate large operational datasets across SaaS stacks.
Maturity of AI technologies
Modern models can interpret complex data and produce practical actions.
Fragmented SaaS ecosystems
Organizations use many disconnected tools and need one unifying layer.
Demand for automation
Leaders expect systems that automate analytics and decision support.
8. Market
Large and expanding software category overlap
Planerix operates at the intersection of Business Intelligence, workflow automation, AI productivity, and business process automation.
Initial target segments
SaaS market trajectory (USD Bn)
Toward nearly USD 800B by decade end
2024
2026
2028
2030
2024
USD 320B
2026
USD 470B
2028
USD 620B
2030
USD 790B
Illustrative trend aligned with publicly discussed SaaS expansion toward the end of the decade.
9. Competition
Current tools solve parts of the problem
Most companies stitch multiple systems together. These tools rarely connect analytics with operational execution in one governed loop.
Analytics tools
Tableau
Looker
Power BI
Workflow tools
Monday
ClickUp
Asana
Automation platforms
Zapier
Make
n8n
Planerix advantage
One platform, four critical layers
10. Business Model
Hybrid SaaS plus usage-based pricing
Subscription revenue provides predictability, while usage-based components align revenue with customer activity and value.
Free
$0
Up to 4 users
Manual-first AI assistant
No external integrations
1 GB storage
Self-serve onboarding
Pro
EUR 249 / month
Up to 10 users
Operational agent bundle
5 org + 3 personal/user
10 GB storage
Dedicated paid rollout
Enterprise
Custom pricing
Custom infrastructure
Custom AI policy
Custom connector scope
Custom storage model
Dedicated infra + SLA
11. Usage-Based Revenue
Credits align pricing with delivered value
Additional usage is priced through credits and expansion bundles. The model keeps entry lightweight for free workspaces, while Pro and Enterprise scale with real operational usage.
Pricing structure
Base subscription
Predictable recurring platform revenue
Usage credits
AI token packs and automation expansion tied to usage
Expansion levers
Users, storage, integrations, and dedicated infra
12. Unit Economics
Margins improve as infrastructure scales
AI-driven software starts with lower gross margins than traditional SaaS, then improves through optimization and platform efficiency.
Gross margin targets
Year 1
Year 2
Year 3
Year 1
63%
Year 2
70%
Year 3
75%
Customer acquisition economics
CAC target
EUR 1,200 - 2,500
Average revenue per account
Approx. EUR 420 / month
CAC payback
8-12 months
LTV/CAC target
4-6x (healthy benchmark: 3:1)
LTV/CAC positioning
Target: 4-6x, above the common healthy SaaS benchmark of 3:1.
13. Go-To-Market Strategy
Phased rollout from pilots to platform scale
Initial focus is high-value early adopters with measurable operational pain.
Phase 1 - Pilot customers
Founder-led sales
Industry networks
Direct outreach
Phase 2 - Vertical expansion
Industry-specific solutions
Consulting partnerships
Integration partners
Phase 3 - Platform growth
Ecosystem integrations
AI agent marketplace
International expansion
Early target segments
Education networks, franchise businesses, and data-driven SMEs.
14. Traction
Early production pilot is active
Milestones
Next delivery targets
15. Financial Projections
Conservative 3-year growth scenario
The model assumes steady adoption through founder-led sales, direct outreach, and industry partnerships.
Year 1
20
customers
Approx. EUR 8k MRR
Approx. EUR 100k annual revenue
Year 2
60
customers
Approx. EUR 25k MRR
Approx. EUR 300k annual revenue
Year 3
150
customers
Approx. EUR 65k MRR
Approx. EUR 780k annual revenue
Customer growth
Year 1
Year 2
Year 3
MRR growth (EUR k)
Year 1
Year 2
Year 3
16. Team
Kyrylo Prolieiev - Founder
Data architect and AI systems developer with experience building analytics infrastructures and operational execution platforms.
Execution founder profile
17. The Ask
Planerix is raising a pre-seed round
Capital will accelerate product development and market entry, with focus on engineering throughput and customer acquisition.
Investment objective
Establish Planerix as the execution layer for AI-driven organizations
18. Final Slide
Planerix
AI Execution Platform for Data-Driven Companies
Founder: Kyrylo Prolieiev
Planerix - AI Execution Platform for Data-Driven Companies
Open the product, request founder materials, or schedule a focused investor walkthrough.