Assistants over your data
Retrieval-augmented assistants that answer from your docs, tickets or product data and cite where each answer came from.
OverviewAI Solutions
AI that ships, not demos
A chatbot demo takes an afternoon. An AI feature that customers rely on takes guardrails, evaluation, cost control and a clear answer to "what happens when the model is wrong?" We integrate large language models into fintech, crypto and SaaS products where mistakes are expensive, so we design the failure modes first.
Our AI work sits next to the products we build: Sensay, an AI replica platform, where we turned Telegram users into paying web subscribers through a gamified mini app; and JupBot, whose AI-powered website and Python data scrapers fed a crypto trading ecosystem that reached 500,000 mini app visitors in two months.
Typical projects add an assistant over your own documents, an agent that drafts or triages work for your team, or automation that removes a manual step from onboarding, support or reporting — measured against the metric you care about, not against a benchmark.
ScopeDeliverables
What we build
AI agents
Agents that monitor, summarise and propose actions for operations, trading and support teams, with a human approving anything risky.Workflow automation
Classification, extraction and drafting that remove repetitive steps from onboarding, compliance reviews and reporting.Evaluation & guardrails
Test sets, output checks, logging and cost limits so quality is measured and regressions are caught before users notice.
ProcessHow we work
How we deliver
Pick the metric
We start from a business number — hours saved, tickets resolved, conversion — and a small evaluation set built from your real data.Prototype & evaluate
A working prototype in your product within weekly sprints, scored against the evaluation set, not a slide.Harden & run
Guardrails, fallbacks, monitoring and cost tracking, then iteration as models and your data change.
StackWhat we use
- LLMS
- RAG
- AI AGENTS
- PYTHON
- DJANGO
- CELERY
- POSTGRESQL
- NEXT.JS
- AUTOMATION
ProofShipped work
Related case studies
Sensay
A gamified Telegram mini app for an AI replica platform: verified social quests, MetaMask and TON wallets, token-based boosts.
- Telegram Mini App
- AI
- Web3
- Gamification
JupBot
A crypto ecosystem built from an idea: an AI-powered website, an admin panel and a Telegram mini app with trading and rewards.
- Telegram Mini App
- Crypto Trading
- AI
- Web Platform
[FAQ]Frequently asked
Questions about this service
Yes. Most of our AI work extends an existing web app, Telegram mini app or back office — an assistant, an agent or an automation step — without rebuilding the product around it.
We choose the model and hosting to match your data rules, send only what a task needs, log access and keep sensitive actions behind human approval.
With an evaluation set built from your real cases and a business metric agreed up front. Every change is scored before release, so quality is a number rather than an opinion.
