Managers cannot keep up with leads at night and on weekends, so the marketing budget leaks away
Solution: AI sales agent
What’s in the direction
AI integration into business processes
Custom AI agents built around how your company actually works. We put AI where boxed products fall short.
Key usage scenarios
AI INTEGRATION
AI integration into business processes
Custom AI agents built around how your company actually works. We put AI where boxed products fall short.
- Any contour: sales, back office, logistics, HR, and customer support automation
- Smart agents: lead qualification, 24/7 intake, and messenger integrations
- Deep integration: AI wired into your CRM, ERP, 1C, and task trackers
- Predictable outcome: a pilot with clear process metrics before production
ENTERPRISE AI
Corporate knowledge bases and private LLMs
Secured AI systems on your internal information, with no data leak outside the company.
- Smart search: RAG for instant answers from policies, contracts, and a local wiki
- Model training: fine-tuning LLMs on your closed data
- Security: flexible deploy on-premise or in a private cloud
GPU INFRA
Design and support of GPU infrastructure
We procure, install, and configure the server environment for stable inference and training of your AI models.
- Selection, supply, and assembly of GPU servers, racks, and networking
- Physical install and commissioning in your cabinet or data center
- MLOps environment: drivers, Docker, Kubernetes, monitoring
- Stress testing and final on-site acceptance
Cases for this direction
Why companies choose our AI solutions
- 01
Independence from someone else’s servers
We deploy systems on isolated hardware. Your neural network will not go down or get blocked even if foreign cloud services start failing.
- 02
Savings on licenses
We use an advanced open-source stack. You get a custom solution in full company ownership and forget monthly per-seat subscriptions for good.
- 03
Work without “hallucinations”
Our agents are strictly tied to your knowledge bases. The system gives precise answers with a link to the source and does not invent facts.
- 04
Trade secret
Full isolation from the public internet. Client correspondence and financial reports are protected to banking-grade standards and never leak to the web.
What problems do companies bring to us most often?
- The team is drowning in routine and spends hours hunting for documents, policies, or contract templates across piles of foldersSolution: Corporate AI search
- The company overpays for foreign neural-net cloud APIs, risking a leak of confidential dataSolution: Private AI contour
How the work is structured
01
Analytics and digitizing routine
We get inside your business. Interviews with staff, we capture repeating daily actions, policies, and bottlenecks.
Result: An AS-IS process map and a clear view of which tasks are best handed to AI.
02
Architecture and specification
We design how the future AI agents will work. We pick LLM models and frameworks. If needed — a spec for GPU infrastructure.
Result: A transparent spec with an ROI forecast and efficiency metrics.
04
Integration and go-live
We connect AI to CRM, ERP, and 1C, load-test, and train your team to run the new assistants.
Result: An automated production contour and a team that can operate it.
03
Build and training (Pilot)
We write custom software, build RAG systems, and fine-tune models on your internal documents and policies.
Result: A pilot running in one test department to prove first results.
Order an initial AI audit of your infrastructure
Our architect will review your business processes, calculate the GPU capacity you need, and draft a preliminary project estimate.
