AI systems
Help teams work with documents, knowledge, voice, and large data volumes.
We automate complex operations and build digital systems around the business
We understand the process, connect data and systems, launch in production, and stay accountable for a measurable outcome.
Capabilities
One team takes responsibility for the whole system
From the business challenge and interface to integrations, AI, launch, and continuous growth.
Automation
Removes manual handoffs and connects departments into one controlled process.
Enterprise platforms
Bring roles, operations, and company data into one working environment.
Analytics
Gives managers current information and better decision-making tools.
Industry experience
ManufacturingE-commerceEducationConstructionService businessesEnterprise systems
Results
Working systems and measurable outcomes
We show how the actual process changed. Company names are anonymized while the facts and metrics are preserved.
1.5Mvisits per month
up to 1,000concurrent lines
40 → 5 minrequest handling
0 → 50orders per day
Manufacturing · AI and documents
Automated metal structure estimation
Challenge
Reduce manual specification review, materials estimation, and proposal preparation.
Outcome
A request is processed in 5 minutes, a proposal in 20 minutes, while manual document work is reduced by 60%.
40 → 5 minrequest
2 h → 20 minproposal
−60%manual work
What we built
The system recognizes documents and drawings, extracts positions, calculates cost, and sends the result to ERP.
Technology: OCR · AI analysis · documents · estimation · ERPManufacturing · Operations platform
Unified manufacturing management system
Challenge
Connect sales, measurements, quoting, production, warehouse, logistics, and installation.
Outcome
Seven business areas and more than 1,000 orders a year operate in one end-to-end process.
7business areas
1,000+orders per year
CRM → ERPunified workflow
What we built
We built CRM, workspaces, a production environment, QR tracking, ERP integration, and dealer tools.
Technology: CRM · production · warehouse · ERP · QR · 3D configurator
Telecom · High-load
High-load Voice AI platform
Challenge
Process high-volume voice communications with low latency and quality controls.
Outcome
The platform supports up to 1,000 concurrent lines and processes 5–15 million events per day at up to 500 ms latency.
up to 1,000lines
≤ 500 mslatency
5–15Mevents per day
What we built
We built Voice AI, telephony, IVR, routing, scenarios, analytics, and a fault-tolerant backend.
Technology: Voice AI · real-time · telephony · high-load · monitoringE-commerce
A marketplace launched from scratch
0 → 50 orders/dayFrom concept and architecture to 50 orders per day.
Web, mobile apps, catalog, orders, CRM, admin, and infrastructure.Education
A platform serving 1.5M visits a month
≈ 1.5M visits/monthStable production operation and continuous growth.
Scalable architecture, product interfaces, and operations.Enterprise AI
Enterprise AI knowledge consultant
Closed data environmentEmployees get answers from a closed knowledge base while data stays inside the company.
RAG, LLM, local deployment, and regulated data controls.Construction
Digital homebuilding platform
One customer journeyCustomers manage home selection, price, and construction progress in one interface.
Configurator, estimates, mortgage, workspace, and online progress tracking.What we build
Solutions are designed around the business challenge
First we define the required process change, then select the architecture and tools.
AI systems
- Challenge
- Large volumes of requests, documents, or enterprise knowledge.
- Outcome
- Employees receive a ready answer, validated data, or a clear next step.
- What we built
- We embed AI agents into the existing process with human control.
TechnologyRAG, LLM, OCR, Voice AI
Explore the caseProcess automation
- Challenge
- Work is lost between departments, spreadsheets, and manual approvals.
- Outcome
- One transparent workflow with owners, deadlines, and measurable impact.
- What we built
- We map the process, remove unnecessary actions, and automate handoffs.
TechnologyBPM, CRM, ERP, EDI, API
Explore the caseEnterprise platforms
- Challenge
- Off-the-shelf products do not match company roles and industry logic.
- Outcome
- One working system replaces a set of disconnected tools.
- What we built
- We build workspaces, CRM, and operating interfaces around real work.
TechnologyWeb, mobile, backend, SSO, integrations
Explore the caseAnalytics and management
- Challenge
- Decisions rely on delayed reports and conflicting data.
- Outcome
- Current metrics and management dashboards in real time.
- What we built
- We connect sources and build the data model, metrics, and forecasts.
TechnologyBI, DWH, ETL, dashboards, ML
Explore the caseEngineering capabilities
The technology behind the systems
We add technology only where it reduces manual work, increases speed, or improves control.
OCR and Computer Vision
Turn documents, drawings, and images into structured data without manual entry.
RAG and enterprise knowledge
Build controlled search and answers over private knowledge bases.
Integrations
Connect CRM, ERP, EDI, telephony, websites, and external APIs.
Data architecture
Design models, flows, quality controls, and a shared version of data.
High-load and real-time
Build resilient services for high throughput and critical latency.
Voice AI
Automate voice scenarios, routing, and conversation quality controls.
Infrastructure
Deploy, observe, protect, and scale production systems.
Architecture
One digital environment
We do not replace everything from scratch. We connect existing sources, add processing, and return the result to working business systems.
Data sources
CRM / ERPAccounting / EDIWebsites / appsEmail / messagingTelephonyEquipmentIntegrations · automation · AI
IntegrationsAutomationAI processingShared data
Business systems
CRM and workspacesManagement dashboardsAI agentsManufacturing systemsMobile appsReal-time servicesHow we think
AI is a tool, not the objective
Value does not come from a model on its own. It appears when the full path—from the challenge to a measurable outcome—works as one system.
01Business challenge
02Process
03Architecture
04Data and integrations
05AI and software
06Production
07Measurable outcome
Team
One team is accountable for the whole system
Responsibility is not passed between vendors: we design, build, launch, and grow the system together.
Meet the team
Business and analysis
Define the challenge, process, and success criteria.
Product and UX
Design workflows and clear working interfaces.
Engineering
Build architecture, backend, frontend, and integrations.
AI and Data
Prepare models, knowledge, and data processing pipelines.
Production and growth
Launch, observe, and expand the system by metrics.
Enterprise security
Your data stays under your control
Deployment and protection are designed together with the system to match your infrastructure and requirements.
On-premisePrivate CloudHybrid
Access
Roles and permissions for people and departments.
Audit
Logs for actions, changes, and integration events.
Isolation
Separation of environments and sensitive information.
Encryption
Protection for stored and transferred data.
Backups
Controlled recovery and data resilience.
Monitoring
System health, errors, and performance under observation.
Process
Five clear stages to a working system
Discovery
Challenge, process, and metrics.
Architecture
Environment, data, and integrations.
Prototype
Validation on real data.
Implementation
Development and production launch.
Growth
Metrics, support, and expansion.
First step
Let’s review your challenge and propose the first stage
Show us a process that consumes time, scales poorly, or requires too much manual work.