Invest in AI data centers and next-generation products

Use of funds

• •Build a 12 MW Tier III module with liquid cooling
• •Energy storage and redundant grids for 99.99% SLA

Potential metrics

• •Revenue ₽6 bn in 2028 at 85% capacity
• •IRR 22–24%, payback 5.5 years

Use of funds

• •Industry playbooks for retail, manufacturing and finance
• •Marketing and partner sales for the low-code platform

Potential metrics

• •MRR ₽180 mn by 2026
• •EBITDA margin 35%+, IRR 25%

Use of funds

• •Automate NOC/SOC and build in-house AI support tools
• •Expansion to healthcare, finance and international clients

Potential metrics

• •ARR ₽1.2 bn with 24/7 contracts
• •Margin 40%, retention 95%

Use of funds

• •Expand the model library and open AI labs in Kazan and Almaty
• •Build GTM teams for enterprise projects

Potential metrics

• •Project pipeline ₽500+ mn annually
• •Gross margin 45%, IRR 23%

Use of funds

• •Hire product squads for large infrastructure roll-outs
• •Develop transformation consulting practice

Potential metrics

• •Revenue ₽2 bn by 2026
• •Margin 20%, backlog 18+ months

Use of funds

• •Build AI-first UX studio and client app teams
• •Develop SDKs for Aiesa/Atmoo integrations

Potential metrics

• •ARR ₽800 mn by 2026
• •Margin 30%, LTV/CAC > 4

Use of funds

• •Develop APS/MES modules and digital twins
• •Deep ERP/SCM integrations with partners

Potential metrics

• •MRR ₽120 mn by 2026
• •Retention 95%, IRR 20%

Use of funds

• •Deploy regional sites and upgrade L2/L3 networks
• •Build cybersecurity center and migration services

Potential metrics

• •Revenue ₽3 bn by 2027
• •EBITDA 32%, SLA 99.99%

Use of funds

• •Grow the base of makers/lots and improve conversion
• •Develop auction product mechanics (premium/paid placements/deposits)
• •Scale service quality and trust (author insurance/partner pickup)

Potential metrics

• •GMV ~₽548.1 mn (Year 3)
• •Full revenue ~₽80 mn (Year 3)
• •Company valuation ~₽400–480 mn (reference)