AI
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Business systems
CRM, CDP, ERP, ABS, WMS and ACS. Dashboards for tracking business metrics.
Business AItransformationstudio
We build AI products, connect agents to your systems and train your team.
Your first consultation is free
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What we do
AI products and custom services for business
We build services around your workflows, connect your data and support the product after launch.
E-commerce
Catalog · Orders · Payments
We build custom solutions: storefronts, Telegram bots, mini apps and everything an online store needs. Integrations and full analytics.
Custom products and integrations
We connect the systems you already use and build a product on top of them, fitted to your processes.
Integrations: Bitrix24, Didox, 1C, Click, Payme, MoySklad.
Games, mini apps and promotions
We build branded games and mini apps for promotional campaigns and loyalty programs.
AI Telegram bots and promo bots
Customer support, loyalty programs and promotional campaigns.
Promo bot
How can I take part?
The promotion details are in the mini app.
Mini app
AI marketing
Campaign calendar, content production and results across every channel.
CDP systems
One customer profile, segments and support for communications in every channel.
Agentic systems
Agents collect data from multiple sources and carry out tasks under your team’s supervision.
Sources
Documents
CRM & ERP
Chat & email
Meetings
Agentic system
What you get
Executive summary
A live dashboard
Tasks & priorities
Consequential actions require a person’s approval
Company knowledge base
Agents find answers in company documents and cite their sources. Data access depends on the employee's permissions.
A fintech example
Search policies, review documents and draft customer replies for an employee to check.
Telegram · Text and voice
An AI assistant for executives
Summarises documents, prepares you for meetings and tracks tasks in Telegram.
Telegram
Sent to the team only after your approval
AI consulting
& systems analysis
We map your workflows, identify where AI can help, set priorities and plan how to protect your data.
Discuss your projectProcesses
Pilot tasks
Integrations
CRMERPAPI
Connect your existing systems
Data
PermissionsPrivate environment
Review the risks
Priorities
Select pilot use cases and define acceptance criteria.
Architecture
Design integrations, data flows and security controls.
Rollout plan
Define stages, resources and team responsibilities.
Start with a standalone assessment, or continue with us through development and rollout.
We bring AI
into your team’s work
We train employees on real tasks and support the system after launch.
Task
Summarize the documents
Review
Result
Document summary
- Sources included
- Access configured
- Answer reviewed
AI transformation depends on how the team works
Training built around your team
We prepare employees to help colleagues use AI. We work through difficult cases together.
A workspace ready to use
Agent chats, the right models and company knowledge. In a familiar interface or a corporate app.
From challenge to impact
Process
Understand the task and goals
Criteria
Agree the approach and metrics
Pilot
Build and test the solution
Review
Evaluate results in practice
Adoption
Scale and improve together
Infrastructure that fits your requirements
We choose the setup together with your IT team.
AI proxy
The AI proxy gives employees access to models. We set usage limits and track spending by person and task.
Private deployment
We use open-weight models that can be installed on your servers. We set up self-hosted inference to run them and fine-tune them on your task examples when needed.
Data protection
Sensitive data masking, roles, permissions and audit logs.
How an AI-native company works
Expertise
You set the rules and define what a good result looks like.
FinanceRetailLogisticsManufacturingMarketingTelecomLegalHealthcare
Hybrid team
An employee assigns tasks to agents, checks their work and makes decisions.
ExpertOperatorAgents
Infrastructure
We keep company documents, rules and settings separate from the model. You can retain them when you change providers.
CRMERPABSDWHWMSACS
We deploy models in the cloud, on your servers or in a hybrid setup. The choice depends on your data and infrastructure requirements.
Tap
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Access control Every employee and every agent sees only the systems and data you granted them.
Data masking We mask sensitive data or process it within your infrastructure. We agree the protection measures with your IT team.
Action audit You can see who launched an agent, what it did and which data it touched - every action is logged.
Cost control You can track AI spending by employee and workflow.
Test environment We test the agent in a separate environment. Access to production systems requires your approval.
Approved tasks A closed list of vetted scenarios the agent is allowed to run in your company.
Knowledge base The agent looks up information in your company documents, policies and internal materials.