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.
RoundThe 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.
StagePre-seedTarget$750kCurrencyUSD
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 migrations319
Schema depth and data-model evolution show a platform far beyond an early draft stage.
Backend tests900+
The backend test base supports the investor thesis of a disciplined platform foundation.
Demo flows4
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, 2025AI 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, 2025Agentic 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, 2026More 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.
TodayWorking demo core
The current guided walkthrough already reveals the portal, AI, workflows and management visibility in one controlled flow.
NowPilot-ready selected scope
Selected scenarios can already be discussed as an early pilot without presenting the whole platform breadth as finished.
NextBroader 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.
Illustrative use of funds: 58% to the first delivery team, 12% to infrastructure / AI / tooling, 12% to pilot delivery, 8% to investor and sales materials, 5% to legal/admin and 5% to reserve. The target is roughly 16–17 months to the next fundable milestone.
$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.
The market thesis stays attached to public sources
Investor FAQ
Short answers for the first investor read
This FAQ mirrors the visible investor logic on the site and supports both human scanning and machine-readable grounding.
What stage is Logicot OS at?
Logicot OS is at the pre-seed stage. There is already a working demo core, a selected pilot-ready scope and a guided investor path from deck to demo and founder call.
How much is Logicot OS raising?
Logicot OS is raising a $750k USD pre-seed round. The round is sized for roughly 16–17 months to the next fundable milestone and funds the first delivery team, infrastructure, AI tooling and pilot delivery.
What is Logicot OS in simple terms?
Logicot OS is a portal-first operating layer for complex B2B companies: a company portal, executable workflows, business modules, control and governed AI inside one working environment.
How is this different from a standalone AI chatbot?
Logicot OS does not place AI next to work. AI acts inside selected working scenarios through workflows, tools, approvals and audit boundaries.
What is already technically confirmed?
Public proof includes 319 schema migrations, 900+ backend tests, 4 guided demo flows and a selected scope that can already be discussed as an early pilot-grade operating environment without overclaiming the whole platform.
What is the first market wedge?
The first monetization wedge is Russia and Kazakhstan. Belarus remains adjacency, while the broader .com path sits on top of the same product category.
Why now?
The canonical market pack is fixed: McKinsey 2025 says 88% of organizations already use AI in at least one function, 23% already scale agentic AI and another 39% are experimenting; Deloitte reports worker access to AI tools rose by roughly 50% in 2025.
What is the next step after reading the materials?
The target path is one chain: deck, then guided demo, then founder call and only then a pilot discussion if there is fit.
Further product detail
If you want the wider public product read, the main Logicot OS pages remain available below.