We build AI assistants
and AI agents —
business solutions powered by our proprietary Agentic AI platform
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We build AI assistants
BUSINESS
TECHNOLOGY
INTERNATIONAL EXPERTISE
We combine R&D in LLM and ML with a deep understanding of business needs across different geographies. This allows us to build comprehensive AI solutions applicable both in Russia and internationally.
we build
AI
AI assistants
Multi-agent AI systems of various types — replacing dashboards, supporting analysts, handling compliance, and managing client communications.
AI assistants learn the business context, connect to internal and external data sources, surface key information, answer questions, and prepare documents — supporting decision-making.
AI assistants learn the business context, connect to internal and external data sources, surface key information, answer questions, and prepare documents — supporting decision-making.
AI workspaces
AI agents that augment or replace real employees.
AI employees are trained to perform specific tasks on client data, learning the context and specifics of the role to work independently — just like regular employees.
AI employees are trained to perform specific tasks on client data, learning the context and specifics of the role to work independently — just like regular employees.
intelligent
optimization tools
intelligent optimization tools
Models that maximise business performance.
We build optimisation and predictive models — from CDT for assortment management and cross-sell recommendation engines to agri-complex productivity models — and beyond.
We build optimisation and predictive models — from CDT for assortment management and cross-sell recommendation engines to agri-complex productivity models — and beyond.
COMING SOON:
ML Models for Retail
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Store Manager Assistant
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Shopper Assistant
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/ COMING SOON:
ML Models for Retail
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Store Manager Assistant
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Shopper Assistant
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Stage:
Comparative Multi-Agent System
for tasks requiring analysis of documentation and regulatory frameworks — for compliance and conformity assessment
Sales & Communication Multi-Agent System
for solutions related to managing sales communications
Analytical Multi-Agent System
for tasks requiring numerical data analysis and preparation of data-driven recommendations.
LLM CORE
LLM core — the AI orchestrator and architectural principles underlying Agentic Lab's multi-agent systems
Comparative Multi-Agent System
for tasks requiring analysis of documentation and regulatory frameworks — for compliance and conformity assessment
Sales & Communication Multi-Agent System
for solutions related to managing sales communications
Analytical Multi-Agent System
for tasks requiring numerical data analysis and preparation of data-driven recommendations
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Comparative
Multi-Agent System
Multi-Agent System
Sales & Communication Multi-Agent System
Analytical
Multi-Agent System
Multi-Agent System
Examples of Implemented Solutions /
Lawyer's Assistant
An intelligent workspace for lawyers. Enables case structuring, judicial practice research, document cross-referencing, regulatory compliance analysis, and procedural deadline tracking.
Procurement Assistant
A platform for analysing tender documentation and proposals, determining optimal procurement volumes, and deduplicating items. Frees up time for large-scale and strategic purchasing.
AI Data Cleaner
An AI agent that standardises and cleanses data, detects outliers and errors. Applied in underwriting, scoring, pricing, and other tasks where data accuracy is critical.
AI Claims Manager
An AI agent that receives and processes insurance claims, matches them against policy norms and payout limits, and autonomously makes compensation decisions. Human involvement is limited to disputed cases.
Shopper Assistant
An AI assistant embedded in an online store's search bar. Builds personalised product baskets from a single query, reduces the path to purchase ~4x, and enables basket structure management. Increases margin, loyalty, and purchase frequency.
Insurance Agent Assistant
A multi-agent system for managing a client portfolio and sales. Analyses conversion and loss ratios, tracks renewals, determines next best offer, and generates chat notifications and prompts. Scales to any sales management process.
Agronomist's Assistant
A system for improving crop yield and production efficiency. Works with aggregated data (yield, climate, resources) and detailed operational metrics and inputs — from CO₂ levels to spectral imagery.
Store Manager Assistant
A multi-agent system for managing a retail store. Helps store managers monitor sales, inventory, promotions, and operational tasks by delivering real-time analytical insights and action priorities.
LLM CORE
Analytical Multi-Agent System
for tasks requiring numerical data analysis and preparation of data-driven recommendations.
Examples of Implemented Solutions:
Store Manager Assistant
A multi-agent system for managing a retail store. Helps store managers monitor sales, inventory, promotions, and operational tasks by delivering real-time analytical insights and action priorities.
Agronomist's Assistant
A system for improving crop yield and production efficiency. Works with aggregated data (yield, climate, resources) and detailed operational metrics and inputs — from CO₂ levels to spectral imagery.
Insurance Agent Assistant
A multi-agent system for managing a client portfolio and sales. Analyses conversion and loss ratios, tracks renewals, determines next best offer, and generates chat notifications and prompts. Scales to any sales management process.
Comparative Multi-Agent System
for tasks requiring analysis of documentation and regulatory frameworks — for compliance and conformity assessment
Examples of Implemented Solutions:
AI Claims Manager
An AI agent that receives and processes insurance claims, matches them against policy norms and payout limits, and autonomously makes compensation decisions. Human involvement is limited to disputed cases.
AI Data Cleaner
An AI agent that standardises and cleanses data, detects outliers and errors. Applied in underwriting, scoring, pricing, and other tasks where data accuracy is critical.
Procurement Assistant
A platform for analysing tender documentation and proposals, determining optimal procurement volumes, and deduplicating items. Frees up time for large-scale and strategic purchasing.
Lawyer's Assistant
An intelligent workspace for lawyers. Enables case structuring, judicial practice research, document cross-referencing, regulatory compliance analysis, and procedural deadline tracking.
Sales & Communication Multi-Agent System
for solutions related to managing sales communications
Examples of Implemented Solutions:
Shopper Assistant
An AI assistant embedded in an online store's search bar. Builds personalised product baskets from a single query, reduces the path to purchase ~4x, and enables basket structure management. Increases margin, loyalty, and purchase frequency.
founders/
miroslav gridin / CEO
Background: McKinsey, Yakov & Partners, AI ventures (GCC)
Geographies: Russia & CIS, GCC, Europe, USA, SEA
Geographies: Russia & CIS, GCC, Europe, USA, SEA
Focus — product line development and delivering business value.
vladimir makarov / CTO
Background: McKinsey, Huawei, Innopolis. PhD
Geographies: Russia & CIS, GCC, Europe
Geographies: Russia & CIS, GCC, Europe
Focus — ensuring technological leadership and product scalability.
team
product & engineering /
A compact team of top language model engineers, data scientists, product managers, analysts, backend and frontend developers, designers, and architects. Dual focus on R&D and client project delivery. Experience across Russia and internationally. High autonomy and efficiency — including through the use of our own AI-powered digital employees.
business development /
A team of partners — industry experts and market leaders. Complements Agentic Lab's technology and business competencies, ensuring the practical applicability of our solutions across different industries.
careers
Product Manager
What you will work on
- Be the CEO of your product — own the strategy, outcomes, and growth
- Define the product vision and align it with shareholders, partners, and key clients
- Manage the full product lifecycle: from ideation and hypothesis testing to market launch and scaling
- Assemble and coordinate a cross-functional team (engineering, UX/UI, analytics, marketing, sales)
- Define, track, and improve key product and financial metrics
- Organise data and analytics workflows to support decision-making
- Test hypotheses, launch MVPs, and manage the product roadmap
- Maintain client and partner communication, representing the product as a business unit
- Ensure delivery against timelines, quality standards, and commercial targets
What we expect
- Experience as a Product Owner / Product Manager in tech companies, or Associate+ level at a top consulting firm (McKinsey, BCG, Strategy&, etc.)
- A product leader equally comfortable with analytics, strategy, and technology
- You want to build products that change how companies make decisions, not just manage a process
- Understanding of enterprise clients and B2B solution deployment
- Ability to manage the product cycle — from discovery to release
- Familiarity with LLM systems, multi-agent pipelines, and API integrations
- Ability to bridge communication between clients and the technical team
- Proactive, structured, and accountable for results
- Fluent in English and Russian
Nice to have:
Experience with Agentic AI, LangGraph / LangChain, international consulting background, and UX research skills.
Analyst
What you will work on
- You will join the team building enterprise-grade multi-agent AI solutions — from first hypotheses to real-world deployment
- Market and competitor research, product strategy formation and growth opportunities
- Customer development — interviews, focus groups, tests, and field research
- Data analysis and transformation into insights and development priorities
- Collaboration with engineers and the R&D team, bridging client requests with product logic and technology
- Support in launching and customising solutions for enterprise clients
- Contribution to pitch decks, presentations, and analytical materials
- Depending on seniority, you may lead other analysts and help structure research tasks
What we expect
- An analyst who thinks about business and product simultaneously
- You want to see how data turns into meaningful AI products used by real companies
- Experience with B2B / enterprise technology products and understanding of enterprise clients
- Ability to conduct qualitative and quantitative research and translate it into product decisions
- Proficiency with analytics tools (SQL, Python — preferred but not required) and confident use of PowerPoint and Excel
- Ability to manage priorities, build structure, and drive tasks to completion
- Effective communication with both engineers and business stakeholders
- Working proficiency in Russian and English
Nice to have:
Experience in consulting (McKinsey, BCG, Strategy& etc.), AI or product startups, familiarity with Agentic AI and LLM applications.
Backend Engineer
What you will work on
- Build the technological core of an AI platform and establish a robust backend infrastructure from scratch — no legacy, full ownership of technical decisions
- Work with a modern stack, clean code, and high engineering standards
- Develop and scale async backend services in Python (FastAPI / Django)
- Design and integrate RESTful APIs with the frontend and external systems
- Work with PostgreSQL / MySQL, optimise queries and database schemas
- Set up Docker environments and CI/CD pipelines
- Implement caching, queues, and background tasks (Redis, Celery, Kafka)
- Monitoring and logging with Prometheus / ELK
- Collaborate with product, frontend, and DevOps teams
- (Optional) Mentoring, code reviews, and technical leadership
What we expect
- An engineer who values clean architecture and pragmatic solutions
- You embrace the startup mindset — not just writing code, but building the foundation of a future product
- 3+ years of Python experience with modern backend frameworks
- Confident with microservice architecture design and async processes
- Proficient with containerisation and deployment tools (Docker, Nginx, Gunicorn)
- Experience with CI/CD setup and Linux environments
- Proficient with PostgreSQL / MySQL, able to optimise queries and schemas
- Clear communicator, accountable, and a team player
- (Nice to have) Familiarity with web scraping, startup experience, or AI / big data projects
Tech stack:
- Backend: Python, FastAPI, Django, Django Rest Framework (DRF)
- Databases: PostgreSQL, MySQL
- DevOps: Docker, Nginx, Gunicorn, CI/CD (YAML)
- Queues & tasks: Redis, Celery, Kafka
- Monitoring: Prometheus, ELK
Data Scientist
What you will work on
- Build multi-agent AI platforms and connect science with real business. Your work will turn complex models into solutions used by both large enterprises and individual entrepreneurs
- Design multi-agent pipelines in LangGraph — with memory, reasoning logic, and agent interactions
- Work with leading LLM families (LLaMA, Qwen, GPT, Claude, DeepSeek, Gemini, GigaChat)
- Deploy and scale models via vLLM / Ollama on A100/H100 clusters
- Build secure and reliable tool-calling architectures (Trustcall)
- Evaluate and optimise pipeline quality using LangSmith and custom metrics
- Integrate with FastAPI, corporate data sources, and external systems
- Depending on focus, you will either deepen one product for mass distribution or work closely with client teams across specific industries
What we expect
- A Data Scientist equally comfortable in research and production
- You are interested in multi-agent system architecture, LLM scaling, and finding elegant solutions that make businesses smarter
- Experience deploying and optimising LLMs (open-weight and API-based)
- Experience designing or configuring LangGraph / multi-agent pipelines
- Ability to evaluate and debug complex LLM systems
- Can move quickly from prototype to production-ready solution
- English proficiency sufficient for reading papers and communicating with partners
Tech stack:
- LLMs: LLaMA, Qwen, GPT, Claude, DeepSeek, Gemini, GigaChat
- Architectures: LangGraph, CrewAI, AgentZero
- Infrastructure: vLLM, Ollama, Docker, A100/H100 clusters
- Backend: FastAPI, Alembic, PostgreSQL
- Security: Trustcall (secure tool calling)
- Evaluation: LangSmith, custom metrics
- Optimisation: Unsloth, LoRA, PEFT
Nice to have:
Experience with CrewAI / AgentZero, LoRA / PEFT, knowledge of FastAPI, PostgreSQL, Docker, and experience building secure AI architectures.
Frontend Engineer
What you will work on
- Build thoughtful, visually strong interfaces that make complex AI solutions intuitive and user-friendly
- Every day is an opportunity to shape user experience, not just write code
- Develop modern web applications using React + TypeScript
- Work with the design system and components in Storybook
- Integrate with APIs and configure backend interactions
- Create responsive and intuitive interfaces that speak for themselves
- Collaborate with designers and the AI/ML team — from idea to release
- Participate in architectural decisions and UI experience improvements
- Continuous product development: experiments, new features, optimisation
What we expect
- 3+ years of React and TypeScript experience
- You understand how ideas turn into real products
- Ability to design responsive, clean interfaces
- Familiar with Zustand / MobX / Effector and REST API principles
- Comfortable communicating with both designers and backend engineers
- Proficient in English and Russian
- Comfortable in a startup environment where much depends on you
- You will advance our products and deliver measurable value to our clients
Tech stack:
- Frontend: React, TypeScript, Next.js, Tailwind, Zustand, Storybook
- Integrations: REST API, WebSocket
- UI/UX: component design, responsive layouts, design system collaboration
Corporate Documents
© 2025, Agentic Lab LLC (ООО «Аджентик Лаб»). Trademark registered. Trademark registration decision No. 1159553.
© 2025, Registered software: Analytical AI Assistant based on the Agentic Lab Agent Orchestrator.
© 2025, Registered software: Analytical AI Assistant based on the Agentic Lab Agent Orchestrator.
