Logicot Business platform for company growth
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Logicot OS is the operating layer for complex B2B companies

One environment for the company portal, executable workflows, business modules and governed AI. The current $750k pre-seed round is there to turn the working demo core and the selected pilot-ready scope into a repeatable pilot path and early deployment motion.

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Round The round is not for finding the idea. It is for building repeatable pilot motion.

Portal, workflows, control and AI already form a pilot-grade operating environment in the selected scope. Capital is needed to accelerate the path from first walkthrough to pilot and early rollout.

Stage Pre-seed
Target $750k
Currency USD

The focus is a repeatable pilot path, early deployment motion and roughly 16–17 months to the next fundable milestone. Logicot is early not because the product thesis is missing, but because one ownership model has already assembled the category, the working core and the first rollout path and is now turning that into a repeatable launch model.

What is already confirmed

Logicot OS already has a product base that can be assessed on facts.

The portal as product unit, governed execution, AI inside workflows and the launch model are already visible in one connected product contour.

Schema migrations 319

Schema depth and data-model evolution show a platform far beyond an early draft stage.

Backend tests 900+

The backend test base supports the investor thesis of a disciplined platform foundation.

Demo flows 4

Portal, AI, workflows and analytics can already be shown as one connected and controlled sequence.

Portal as the product unit

The product is built around the company portal and control contours rather than around a single feature or screen.

AI + workflow + ERP automation

AI is already embedded in selected workflows with approvals, tools and audit discipline.

Selected scope is already designed for early launch and pilot

The delivery model, control plane and operating logic are already assembled into a pilot-grade operating environment without overclaiming the full breadth of the platform.

Why now

AI is already inside companies. The next bottleneck is governed execution inside real work.

The market window is no longer about another helper tool. It is about the layer that connects workflows, data, approvals and AI inside one operating environment.

McKinsey, November 5, 2025 AI is already present in most organizations

According to McKinsey's November 5, 2025 survey, 88% of respondents said their organizations use AI in at least one business function. The bottleneck is shifting from access to scale.

McKinsey, November 5, 2025 Agentic AI is moving from experimentation into selective scale

In the same survey, 23% of respondents said their organizations already scale agentic AI in at least one function, while another 39% are experimenting. The question is no longer access to AI, but how AI gets embedded into real workflows, roles and control rules.

Deloitte, January 21, 2026 More employee access to AI raises the governance bar

Deloitte reports that worker access to sanctioned AI tools rose from under 40% to around 60% across 2025, or roughly 50%. At the same time, expectations around auditability, approvals and deployment control keep rising.

Beachhead

The first wedge is complex B2B companies with heavy cross-functional operations

The clearest entry point is where sales, documents, approvals and operations already live across multiple systems, but there is still no single execution and control layer.

B2B companies with a complex operating cycle

Sales, documents, approvals and internal operations no longer fit inside a fragmented stack of separate systems.

Teams with manual cross-functional handoffs

The more transitions there are between teams, roles and systems, the more expensive delay, error and weak control become.

Businesses that need AI inside workflows

Not a chat next to work, but AI inside business actions, approvals and control rules.

Market potential

Russia and Kazakhstan create the first wedge, while global AI software provides the larger category tailwind

Logicot OS monetizes first in a Russian-speaking wedge of complex B2B operations, but it sits inside a broader shift from assistant tools toward governed execution inside enterprise software. Belarus remains adjacency rather than a headline market.

Global AI software tailwind

Gartner expects AI software spend to grow from $283.1B in 2025 to $452.5B in 2026 and $636.1B in 2027. Gartner also expects task-specific AI agents in 40% of enterprise applications by the end of 2026 versus less than 5% in 2025.

Russia as the main monetization wedge

MWS and AKM report that the Russian software market grew 23% to ₽1.4918T in 2025. MWS also expects the broader Russian IT market to grow from ₽3.8646T in 2025 to ₽6.7459T by 2030.

Kazakhstan as a growth market and export logic

Kazakhstan’s official AI country report says AI venture investment grew from about $14M in 2023 to $73M in 2025, with more than 100 AI startups and a strong cluster around Enterprise AI and business automation.

Global upside after the regional wedge

OpenAI reports more than 1 million business customers, median sector growth above 6x year over year and international API customer growth above 70% over the last six months. That supports the .com path beyond the regional wedge.

Alternatives today

Why the current stack rarely solves the problem end to end

Most companies try to solve this pain through four types of alternatives. Logicot OS differs because it makes the deployable working environment the product unit.

CRM / ERP / spreadsheets / manual approvals

That stack stores data, but it does not create one execution layer and one control model between functions.

AI helper next to work

A separate copilot does not bring roles, approvals, auditability and launch into one operating system.

Custom portal or internal tooling

That gives flexibility, but it is hard to repeat, support and scale as a standardized product.

Heavy enterprise system too early

Many companies hit long deployment cycles when what they need first is a faster and more governed start.

Where the company is now

Today Logicot OS has a working demo, a limited pilot scope and a clear next step.

The stage is presented directly: the working demo core exists, a selected pilot scope can already be discussed, and broader deployment hardening is still in progress.

Today Working demo core

The current guided walkthrough already reveals the portal, AI, workflows and management visibility in one controlled flow.

Now Pilot-ready selected scope

Selected scenarios can already be discussed as an early pilot without presenting the whole platform breadth as finished.

Next Broader deployment hardening

The next stage is making launch, rollout and selected working intersections more predictable and repeatable.

Target business model

Target revenue is built around a deployed company environment, not around access to one module

The investor question here is not a public pricing table. It is the target revenue shape and the expansion path around an installed company portal.

Entry through a launch scope

The first contract is assembled around the portal, infrastructure, selected modules and a limited launch scope.

Recurring operating revenue

Revenue is retained through support, updates, operations and the ongoing development of the working environment.

Expansion through modules, workflows and AI

Growth comes through new processes, deeper automation, integrations and a governed AI layer.

Why $750k now

The round is sized against the next fundable milestone, not against open-ended product expansion.

In the illustrative operating model, $750k funds roughly 16–17 months of runway at a blended burn of about $44k per month. The purpose is to build the first delivery team, harden the selected pilot scope and make the path from demo to pilot more repeatable.

$435k / 58% — first delivery team

Engineering, QA, design and rollout form the first delivery layer that turns the founder-led core into a repeatable operating model.

$90k / 12% — infrastructure / AI / tooling

Cloud, AI consumption, developer tooling and the operating infrastructure required for the pilot scope and early deployment.

$90k / 12% — pilot delivery / rollout playbooks

Packaging the pilot-ready scope, launch logic and the first rollout playbooks so each case is not rebuilt from scratch.

$60k / 8% — investor and sales materials

Deck, demo discipline, proof surfaces and sales-grade material that support investor and design-partner conversations.

$37.5k / 5% — legal / admin / compliance

Legal and operating work around the round, the first pilot contracts and the early company layer.

$37.5k / 5% — reserve

A buffer for slower revenue ramp, additional implementation cost and early go-to-market variance.

Why this team

Why this team can take the product to the next stage

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.

One ownership model has already assembled the first working system

Category thesis, product scope, demo sequence and the first launch model still sit in one place instead of being fragmented across an early team.

There is more than a product idea

Logicot already shows a working demo core, an architecture trust layer and a proof package that can be discussed on facts.

The round adds delivery depth

The next step is to form the first delivery team around engineering, QA, design and rollout and make the path from demo to pilot and early deployment more repeatable.

Milestones by month 16–17

By the next fundable milestone, testable outcomes should be visible.

The round should be judged not by broad promises, but by whether the path from demo to pilot and early deployment becomes materially more repeatable.

The first core delivery team is in place

Engineering, QA, design and rollout no longer act as ad hoc founder support, but as the first repeatable delivery contour.

A repeatable demo-to-pilot path exists

The path from the first walkthrough to a limited pilot is packaged and depends less on one-off manual assembly.

The selected pilot scope is hardened

The key pilot-ready intersections become more stable both as product surfaces and as an early delivery model.

The first rollout playbooks are assembled

Launch logic, roles, support and early operating delivery are packaged into a more standard rollout layer.

Design-partner / paid-pilot motion appears

Investor-grade and sales-grade material supports concrete conversations about design partners and paid pilots, not only a narrative layer.

Who we want to meet now

We are currently speaking with pre-seed funds, angels, strategic operators and design partners.

The path is simple: after the first read, the conversation moves into a founder call, then a guided demo and, if there is fit, a pilot-scope discussion.

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