We build autonomous systems where AI agents decide what to do next, call the tools they need and drive complex processes to a result with no human in the loop.
InterPensioner A mobile app for people 55+: an SOS button with geolocation, the voice assistant “Sonya”, medication and appointment reminders, family chats. Voice control with no complex mechanics.
Wizard AI Our own AI agent. It chats with incoming leads on Telegram and the website, qualifies the request and hands the manager a ready context.
Works with no days off — receives and handles client requests around the clock.
Answers from your data: it relies on your documents, guidelines and customer base, not on random information.
Gets things done: it files the request, sends the email and creates the task in your system — not just replies.
Works inside your systems: opens the right apps, moves data and updates records instead of manual staff work.
Remembers how your team replied to clients before and keeps the same tone.
Beetrail builds autonomous AI agents that decide which steps to take, call external tools and drive a task to a result with no human at every step. Where a chatbot answers a question and workflow automation runs a fixed scenario, an agent decides for itself which steps to take and in what order. It suits businesses with a repeating process where the volume of tasks is greater than the team can take on.
Repeated decisions
A person makes the same decision hundreds of times a day.
Multi-step tasks
The task is a sequence of actions, not a single answer.
24/7 load
The flow of tasks doesn’t fit into the team’s working hours.
Many tools
The process needs switching between CRM, email, documents and APIs.
Growth without hiring
The volume of tasks grows, but hiring people for them is unprofitable or impossible.
Free assessment
A free 15-30 min call where we study the task, your processes and data. We assess where AI truly delivers and where it is overkill, and suggest simpler alternatives when they fit.
Pilot launch
We assemble a small working version on one of your processes so you see how AI performs on real data before the full build. The pilot cost is credited toward further development.
Feature development
We build the full solution on top of the pilot: embed AI into your processes, extend the feature set for real scenarios and test it on your data.
Monthly support
We maintain the system after launch: watch AI quality, retrain on new data and grow the feature set as your needs scale.
Alexander Konovalov
Founder "InterPensioner"
A professional team that is pleasant to work with. They competently solve problems and are focused on results.
Egor
COO "Joboard"
Convenient application and excellent support. We were completely satisfied with the team's work.
Alisher
YPA "Dala Qyrandary"
A professional team that is deeply immersed in the task. All stages of work were clear, and we were completely satisfied with the result.
Evgeny
CEO "SiegelAgency"
Everything was done quickly, qualitatively and in full. Communication with the team was easy and understandable.
Ilya
Founder "Hedgie: Learn English Grammar"
The team helped turn the Hedgie idea into a clear and engaging product that makes learning grammar easier and more enjoyable. We especially liked how quickly the MVP came together, while still keeping the user experience simple and creating a strong foundation for the app’s future growth.
Valery
Founder "AI Assistant"
The goal was to create not just an AI chat, but a clear voice assistant with a lively visual identity. The team proposed a solution that covered the MVP goals while leaving room for further product growth and new AI capabilities.
Pilot in 1–3 months
The first working version of the agent — 1–3 months after the assessment. You try it on real tasks, then decide whether to expand.
Fast response to change
If the business changed or the agent started making mistakes on new cases, we make fixes within days.
Transparent process
We show the result of each stage separately. You always know how the work is progressing.
A chatbot answers a question; an AI agent decides for itself which steps to take and in what order — it reads the task, calls the tools it needs and drives it to a result in your systems.
The agent works inside your perimeter with access granted narrowly per tool. We set and own the boundaries, and start with a pilot on one process so you see it on real data.
We respond to change within days — if the business shifts or the agent errs on new cases, we adjust it fast, and we show the result of each stage transparently.
It depends on the process, task volume, integrations and logic. First we break the task down for free on a call; the pilot cost is credited toward further development.
We’ll have a 15-30 min call, break down the task and decide whether an agent is the right tool here and what to build first.