Studio portfolio

Cases across every direction — from a website to automation and AI

We build sites and stores, roll out Bitrix24 and 1C, ship web services, and assemble AI automation. Below is how we do it: the problem, the solution, the stack, and an honestly framed result.

10+ directions, turnkeyFixed price and timeline before we startCode, access and domain stay yoursAI-accelerated deliveryWarranty and support after launch
Honest note: the cases below are representative examples of the kind of work we do, not real named clients. As approved projects accumulate, we'll replace them with named cases and numbers. For now treat the specifics as illustrative — hence the «Sample» badge.

Web development

4
SampleWeb development

Corporate website

Manufacturing company, B2B

Problem

A site on a legacy engine: every edit had to go through a developer, everything broke on mobile, and the site didn't show up in search for the company name.

Solution

A new CMS-based corporate site: product catalog, lead forms integrated with the CRM, technical SEO, and content editing without a developer.

Result

The team edits content themselves, mobile works, leads land in the CRM. A typical result for a project of this class.

Stack

Next.jsCMSCRMMetrica
SampleWeb development

Online store

Retail brand, home goods

Problem

Orders came in via chats, site and warehouse stock drifted apart — they sold what they didn't have, and marketplace orders were reconciled by hand.

Solution

A store with online payments and two-way 1C sync: filtered catalog, delivery calculation, stock/price/order synchronization, and order collection from WB and Ozon.

Result

Manual order entry gone, stock matches, payments go through online. A typical result for a project of this class.

Stack

Bitrix1CAcquiringWB/Ozon
SampleWeb development

Web service / SaaS

Service business, B2B portal

Problem

The business ran on Excel and chat threads: data got lost, there were no roles or permissions, and boxed software didn't fit the real processes.

Solution

A customer portal designed from architecture and data model up: roles and access control, business logic, dashboards, and API integrations with existing systems.

Result

Work moved from Excel into a system with roles and rules, data is in place, access is scoped. A typical result for a project of this class.

Stack

Next.jsNodePostgresAPI
SampleWeb development

Mobile app

Service with a loyalty program

Problem

Customers asked for an app, but there was only web; they needed push notifications, a personal account, and in-phone payments.

Solution

A cross-platform iOS/Android app on one codebase: auth, personal account, push notifications, payments, and a shared backend with the website.

Result

One app on two platforms, push and payments work, the backend is shared with the site. A typical result for a project of this class.

Stack

React NativePushAPIPayments

CRM & 1C

2
SampleCRM & 1C

Bitrix24 + 1C rollout

Wholesale trade

Problem

Reps tracked deals in spreadsheets, duplicated orders into 1C by hand, and stock and payments in the CRM didn't match the books.

Solution

CRM setup in Bitrix24, data migration, and a live two-way exchange with 1C: contacts, products, prices, stock, orders, invoices, and payments sync automatically.

Result

Double entry gone, sales run in the CRM on real accounting data. A typical result for a project of this class.

Stack

Bitrix241CSyncTelephony
SampleCRM & 1C

1C automation

Manufacturing and warehouse

Problem

1C documents were filled in by hand, reports were assembled overnight, and the stock configuration didn't cover the company's real processes.

Solution

1C customization around the processes: automatic document generation, data processors and reports, exchange with other systems, and staff training.

Result

Document routine automated, reports build themselves, the configuration fits the processes. A typical result for a project of this class.

Stack

1CProcessorsReportsSync

AI & automation

2
SampleAI & automation

AI support assistant

B2B SaaS · Customer support

Problem

A growing support inbox: agents spent hours triaging tickets and writing repetitive first replies, with backlog spilling past SLA.

Solution

An AI triage and draft-reply assistant inside the existing helpdesk: it classifies the ticket, pulls context from the knowledge base, and proposes a reply for a human to approve.

Result

Triage and first replies sped up, the human stays in the loop and approves. A typical result for a project of this class.

Stack

ClaudeRAGHelpdesk APIPostgres
SampleAI & automation

Process automation

Logistics · Operations

Problem

Daily ops reports were assembled by hand from five systems — it took an analyst most of the morning, and the data arrived too late to act on.

Solution

A data pipeline plus LLM report assembly: it pulls from each source, reconciles the numbers, and produces a readable ops brief every morning.

Result

The brief assembles itself, the analyst looks at one view instead of five, the data arrives on time. A typical result for a project of this class.

Stack

PythonETLOpenAIDashboard

Have a problem shaped like one of these?

Tell us what you need built, or what's slow, manual, and unreliable. We'll scope it on a call, give a price/time range, and send a written proposal.

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