Logicot OS deck for the pre-seed round

Companies already operate between CRM, ERP, documents, approvals, spreadsheets and disconnected AI tools.

• Operational complexity grows faster than control
• Point solutions do not create one execution layer
• Cross-functional handoffs stay expensive

AI is already inside companies, but scaling still gets blocked by governance, process design and deployability.

• McKinsey, November 5, 2025: 88% of respondents said their organizations use AI in at least one business function
• McKinsey, November 5, 2025: 23% already scale agentic AI in at least one function, another 39% are experimenting
• Deloitte, January 21, 2026: worker access to sanctioned AI tools rose by roughly 50% across 2025

Logicot OS is the operating layer for complex B2B companies.

• Portal as the unit of product
• Executable workflows and control
• Data, modules and governed AI in one environment

Today there is already a portal, a working demo core and a selected scope that can already be discussed as an early launch and pilot.

• Portal and access model
• AI inside selected workflows and ERP automation
• Control layer and management visibility

The current stack is either fragmented or too heavy for an early governed rollout.

• Not CRM + ERP + spreadsheets + manual approvals
• Not a copilot next to work
• Not one-off internal tooling without repeatable rollout

The first entry point is complex B2B companies where documents, ERP, approvals and cross-functional handoffs already create structural operating loss.

• B2B companies with a complex operating cycle
• Teams with manual cross-functional handoffs
• Businesses that need AI inside workflows rather than next to work

Russia and Kazakhstan provide the first monetization wedge, while global AI software and agentic enterprise applications create the wider category tailwind.

• AI software: $283.1B in 2025 → $636.1B in 2027; enterprise apps with task-specific agents: <5% → 40% by end 2026
• Russia: ₽1.4918T software market in 2025; IT market 2025–2030: ₽3.8646T → ₽6.7459T
• Kazakhstan: AI venture ~$14M → $73M in 2023–2025; 100+ AI startups; .com remains export upside

Target revenue is built around launch scope and the expansion of the working environment.

• Entry through launch scope
• Support and development of the environment
• Expansion through workflows, modules and AI

The stage is shown directly: a working demo core today, a selected scope that can already be discussed as an early pilot now, and broader hardening in progress.

• 319 migrations
• 900+ backend tests
• 4 curated demo flows

Logicot is founder-led today. That matters not as a label, but as evidence of build velocity: one ownership model has already assembled the category thesis, the working demo core, the architecture framing, the investor path and the initial launch model. This round adds the first delivery team around engineering, QA, design and rollout and turns that base into a more repeatable operating model.

• Founder-led ownership keeps the category thesis, product scope and rollout logic in one place
• The current working core already proves the direction in practice
• The round builds the first delivery team around engineering, QA, design and rollout

The round is sized against the next fundable milestone: from a founder-led demo core and a selected pilot-ready scope to a repeatable pilot path and early deployment motion.

• Roughly 16–17 months of runway in the current pre-seed operating model
• 58% to the first delivery team; 12% to infrastructure / AI; 12% to pilot delivery
• Next milestone: repeatable demo-to-pilot path, rollout playbooks and design-partner / paid-pilot motion

The round should move Logicot OS from a strong demo core to a repeatable pilot path and an early deployment motion.

• A repeatable demo-to-pilot path
• Selected deployment playbooks
• Investor-grade and sales-grade asset package