Chatbots and AI assistants
Bots for customer support, sales and internal teams. Powered by GPT-4, Claude or local LLMs. Multilingual — Russian, English, Uzbek.
AI in your business processes
We build LLM-powered chatbots, document AI, forecasting and recommendation systems. From a 2-week pilot to a production-grade solution with Russian and Uzbek language support.
What we ship
Four AI directions with the fastest ROI for Uzbekistan-based businesses — no hype, real problems.
Document AI
Data extraction from invoices, contracts, waybills and forms. RAG search over your corporate knowledge base. Cuts manual work by 60–80%.
Recommendations and personalisation
Recommendation systems for online stores, media and B2B catalogs. Personalised product, content and option matching.
Forecasting and analytics
Demand forecasting, churn prediction, default scoring. Audience segmentation and lead classification — for planning marketing, sales and operations.
How AI rollouts go
Idea → prototype → pilot → prod. You see whether the investment pays off before spending a big budget.
01
Idea
We map which business problems AI fits best. We estimate ROI and risks.
02
Prototype
In 2–3 weeks we ship a working prototype on your data. We prove the tech works.
03
Pilot
We roll out the pilot to a limited group or one team. We measure quality metrics and business impact.
04
Production
After a successful pilot we integrate with your core systems, add monitoring and train your team.
05
Retraining and growth
AI models age. Each quarter we retrain on fresh data, tune prompts and add new scenarios.
AI rollout pricing
Start small. Validate the hypothesis with a pilot, then scale to production.
Pilot
Prototype for one use case: chatbot, document processor or classifier.
from $5,000per project
- Problem definition and success metrics
- Prototype on your data
- Quality measurement vs baseline
- Demo and stakeholder presentation
- 2–4 weeks
MVP in production
Promote a successful pilot to real users.
from $15,000per project
- Integration with your systems (CRM, site, messengers)
- Secure data handling and logging
- Quality and hallucination monitoring
- Team training and playbooks
- 3 months of support included
Enterprise rollout
For large business and regulated industries.
on request
- On-prem or private cloud deployment
- Local LLMs (Llama, Qwen, T-Lite) — data stays inside
- Compliance with local data-protection regulation
- SLA, on-call, incident management
- 12-month roadmap
USD, excluding LLM API costs (OpenAI, Anthropic) and infrastructure. Local deployment on your servers is supported.
Common questions about AI
How much does AI rollout cost?
Pilot — from $5,000, production MVP — from $15,000, enterprise — individual. On top, you pay LLM API fees ($50–$500/month depending on volume) and infrastructure.
Does AI work in Russian and Uzbek?
Yes. GPT-4, Claude and Gemini work in Russian and Uzbek at commercial quality. For Uzbek, GPT-4o and Claude 3.5 Sonnet are the strongest. Local options: T-Lite, Qwen, Llama 3.1.
Where is data stored? Can we run on-prem?
By default — in the LLM provider's cloud (OpenAI, Anthropic) under BAA/DPA. For sensitive data we deploy local models (Llama, Qwen, T-Lite) on your servers or private cloud — data never leaves your perimeter.
Which use cases pay off first?
Fastest ROI: tier-1 support chatbots (-40-60% operator load), inbound document processing (-60-80% manual work), lead/ticket classification. Slow ROI: «generative content for content's sake», complex forecasts on weak data.
What if the model is wrong?
Hallucinations exist. We add guardrails: answer scope via RAG, output validation, human-in-the-loop for critical decisions, production quality monitoring and regular retraining.
Can we start with a small pilot?
You should. We always recommend a 2–4 week pilot on one use case. If results hold up — we ship to prod. If not — you save the budget.