Software,apps, AI

Web apps, CRM and integrations, AI agents, voice AI and RAG — from discovery call to ongoing support.

Find my solution →Cases

Free 30-minute discovery callTimeline and budget fixed before we startSupport after launch99.99% uptime

Web apps✦CRM✦reply to a customer in 30 seconds✦ERP integrations✦AI agents✦1,000 calls in 1–2 hours✦Voice AI✦RAG✦8–15× cheaper than a call center✦Chatbots✦Analytics✦100% of calls under control✦Automation✦Web apps✦CRM✦reply to a customer in 30 seconds✦ERP integrations✦AI agents✦1,000 calls in 1–2 hours✦Voice AI✦RAG✦8–15× cheaper than a call center✦Chatbots✦Analytics✦100% of calls under control✦Automation✦Web apps✦CRM✦reply to a customer in 30 seconds✦ERP integrations✦AI agents✦1,000 calls in 1–2 hours✦Voice AI✦RAG✦8–15× cheaper than a call center✦Chatbots✦Analytics✦100% of calls under control✦Automation✦

About

Who we are

We are a software studio. We build web apps, CRM and integrations, and embed AI where it pays off: agents, voice bots, knowledge search. We take every system from discovery call to support after launch — and prove it with numbers, not promises.

Denis KazhaevCEO and lead engineer · 4+ years in ML/LLM
4+years in development
30+client companies
70+automations delivered
16implementations and products

Reliability

  • 99.99% uptimeSystems run around the clock: downtime is minutes a year, not hours.
  • 24/7 monitoringWe watch every service and learn about a failure before the client does.
  • BackupsDaily backups of data and settings, recovery within hours.
  • Fault toleranceQueues and retries: a message or a call is not lost when an external service fails.
  • Data protectionRole-based access, encryption, deployment on your own servers on request.
  • SLA supportFixed response time and a scheduled update routine after launch.

Services

Five directions — from a web service and CRM to AI agents. Under each one — real cases where we have already done it.

Turnkey implementation

Closed-loop AI sales system

One customer journey — one system. Every link passes its result to the next, and the CRM triggers a new touch. You can start with a single link — where the most money is leaking right now — and build out the chain.

Chats

First touch

Replies to customers in messengers and on marketplaces within 30 seconds, at night and on weekends; qualifies and books a call.

→ Passes on: a warm contact and a reason to call
<30 secinstead of 5–15 minutes
Calls

Outbound and inbound

Voice AI calls through the database and takes inbound calls; hot leads are transferred to a sales rep.

→ Passes on: recordings of every call — the bot's and the reps'
1–2 hoursper 1,000 calls instead of a week
Scoring

Quality control

Reviews every conversation — the bot's and the rep's — against your checklist and finds where deals are lost.

→ Passes on: a specific rep's mistakes
100%of calls instead of a 20–30% sample
Training

Sales simulator

A rep with mistakes goes to practice: works through exactly those objections with a voice AI customer, against the same checklist.

→ Passes on: training results — to the manager
×10more practice, 0 live leads spent on training
CRM

CRM and integrations

The outcome of every touch lands in the pipeline by itself: deal, stage, task. Integrated with your CRM, telephony and accounting.

→ Passes on: the next touch with the customer — on schedule
100%of outcomes in the CRM instead of 60–70%
CRM triggers the next touch — the loop is closed
How the system works →

Cases

Results in numbers, not promises. The five main ones are stacked below; all 11 — in the filterable grid.

Analytics · Self-learning

Decision center for marketplace sellers

Task
Analytics services show numbers without causes, data sits in a dozen spreadsheets, and diagnosing a sales drop takes days
Solution
A platform for marketplace sellers breaks a deviation down into causes in money terms, suggests an action and sets a task
Result
Causes of a sales drop in money terms by morning instead of days of exports; every decision is checked after 7 days and the system learns from it
Open case ↗
1 windowinstead of a dozen spreadsheets and tools: the reason sales dropped and the action to take — at once
AI agents · 5 implementations

AI sales rep in chats and messengers

Task
Customers wait 5–15 minutes for a chat reply, until morning at night, and go to whoever replies first; up to 80% of chats never reach the CRM
Solution
One AI sales agent on every channel: answers from the knowledge base, qualifies, hands hot leads to a sales rep with a summary and logs to the CRM
Result
Replies in 30 seconds around the clock, 60–80% fewer lost leads, 80% of questions closed without a human, under 5% dead-end leads for sales reps
Open case ↗
<30 secto reply to a customer in any channel instead of 5–15 minutes; 0 operators in chats, no leads lost at night or on weekends
Voice AI · CRM · 2 implementations

AI outbound calls with auto-logging to CRM

Task
1,000 cold contacts means 4–5 operators and a week of calling; 30–40% of outcomes never reach the CRM, operators burn out in 2 weeks
Solution
A voice AI calls through the database by script, handles objections, determines the outcome and creates the deal, stage and task in the CRM with the recording
Result
1,000 calls in 1–2 hours instead of a week, 8–15× cheaper than operators, 100% of outcomes in the CRM, 0 operators, pays back with the first deal
Open case ↗
8–15×cheaper than call-center operators: 1,000 calls in 1–2 hours, the outcome of every call goes straight to the CRM
Lead generation · B2B

Prospecting and outreach system

Task
Sales relied on manual calls: the database grew at the pace of one sales rep, and nobody knew whom to contact
Solution
The system builds a database of hotels and restaurants, finds those hiring, messages them and hands interested ones to a sales rep
Result
~5% of the database becomes warm leads with no sales rep involved: the system prospects, writes and hands over interested companies
Open case ↗
~5% leadsfrom a database built without a sales rep: the system finds prospects, writes to them and hands over the warm ones
Voice AI · Training

AI voice sales training simulator

Task
Coaching with a sales trainer happens once a week, and new hires take 1–2 months to start selling
Solution
A voice simulator: the sales rep talks to a virtual customer, gets a score, and an AI coach plans the next session
Result
10× more practice (40 sessions a month), 0 live leads burned on training; new hires selling in 1–2 weeks instead of 1–2 months
Open case ↗
×10more practice: 40 training sessions a month instead of one a week with a coach, 0 live leads burned on training
Web apps · Integrations

CRM with a mobile app and ERP integration

Task
Paper waybills cost an operator 30–60 minutes a day of data entry, and fuel consumption goes unchecked
Solution
A digital waybill on the driver's smartphone: receipt photos, one-tap approval, auto-sync with the accounting system
Result
Frees up a full-time operator (6–8 hours of data entry a day), data in accounting right away, fuel under control: 3–7% savings
Open case ↗
−1 operatorone full-time operator freed: 6–8 hours a day of waybill entry move to the driver's smartphone; fuel under control — 3–7% saved

All work

Task
Industry
AI sales reps and lead reactivationAutomotive

AI reactivation of cold leads for a car dealership

Task
70–80% of showroom visitors leave without buying, and nobody has time to re-engage them by hand every three days
Result
3–5% of cold leads come back instead of 0–1%: about 45 extra deals a month with nobody on the phones
Open ↗AI sales reps and lead reactivationAny industry

AI sales rep in chats and messengers

Task
Customers wait 5–15 minutes for a chat reply, until morning at night, and go to whoever replies first; up to 80% of chats never reach the CRM
Result
Replies in 30 seconds around the clock, 60–80% fewer lost leads, 80% of questions closed without a human, under 5% dead-end leads for sales reps
Open ↗AI sales reps and lead reactivationAny industry

AI outbound calls with auto-logging to CRM

Task
1,000 cold contacts means 4–5 operators and a week of calling; 30–40% of outcomes never reach the CRM, operators burn out in 2 weeks
Result
1,000 calls in 1–2 hours instead of a week, 8–15× cheaper than operators, 100% of outcomes in the CRM, 0 operators, pays back with the first deal
Open ↗AI sales reps and lead reactivationB2B

B2B cold outreach with automated prospecting

Task
Sales relied on manual calls: the database grew at the pace of one sales rep, and nobody knew whom to contact
Result
~5% of the database becomes warm leads with no sales rep involved: the system prospects, writes and hands over interested companies
Open ↗Sales trainingAny industry

AI voice sales training simulator

Task
Coaching with a sales trainer happens once a week, and new hires take 1–2 months to start selling
Result
10× more practice (40 sessions a month), 0 live leads burned on training; new hires selling in 1–2 weeks instead of 1–2 months
Open ↗Control and operationsAutomotive

Call control robot for a car dealership

Task
A QA specialist spends 3–4 hours a day copying call links from the CRM, and only 20–30% of calls get reviewed
Result
Call coverage: 20–30% → 100%; frees up 15–20 hours of the QA specialist's time a week; pays back in 1–2 months
Open ↗Control and operationsServices

Telegram slot notifier for a barbershop chain

Task
A favorite barber is booked 2 weeks out, while slots freed by cancellations sit empty until the end of the day
Result
A cancelled slot is refilled within an hour instead of sitting empty all day; +20% location revenue, pays back with 1–2 haircuts a week
Open ↗Control and operationsLogistics

Digital waybill on the driver's smartphone

Task
Paper waybills cost an operator 30–60 minutes a day of data entry, and fuel consumption goes unchecked
Result
Frees up a full-time operator (6–8 hours of data entry a day), data in accounting right away, fuel under control: 3–7% savings
Open ↗Control and operationsRetail

Telegram price list bot with inventory system sync

Task
The owner recalculated the price list by hand every day while the supplier changed prices several times a day
Result
No manual recalculation: a new supplier price reaches the channel in 90 seconds, sold items vanish in minutes, 74% of items matched automatically
Open ↗Content and mediaMedia

AI editorial team for a Telegram channel

Task
A content manager spends 4–6 hours a day on news, and a raw language model writes in stiff bureaucratic prose
Result
Up to 50 posts a day instead of 5–10; about 90% cheaper than a full-time editor
Open ↗Analytics and managementRetail

Decision center for marketplace sellers

Task
Analytics services show numbers without causes, data sits in a dozen spreadsheets, and diagnosing a sales drop takes days
Result
Causes of a sales drop in money terms by morning instead of days of exports; every decision is checked after 7 days and the system learns from it
Open ↗

Quiz · 6 questions · 1 minute

Describe the task — get a solution

A few short questions — and we show what fits you, with a similar case if we have one.

How we work

Six steps from the first conversation to ongoing support. Discovery call and brief are free; timeline and budget are fixed in the contract before development starts.

A good fit if

  • You have a recurring process that eats hours of staff time every week
  • Requests, calls or documents come in a steady stream, and some of them get lost
  • You are ready to share data access (CRM, calls, spreadsheets) and assign a contact person
  • You want to test on one process first, then scale

Not a fit if

  • You need a “magic button” that works without your team's involvement
  • There is no process yet — every time it is done differently
  • You need a bot “for show”, with no connection to CRM and data
  • The goal is the cheapest option, not the one that pays off
Step 1 · free · 30 minutes

Discovery call

A call with the founder: we look at your process and tell you honestly where automation will pay off and where it won't.

  • Process map and bottlenecks
  • 2–3 tasks that pay off first
  • What is not worth automating
Book a discovery call
Step 2 · free · 10 minutes

Brief

You fill in a short online form: what you have now, which systems, volumes and the goal. The audit runs on facts, not impressions.

  • A form in the browser, no calls
  • Attach exports and examples
  • Your draft is saved
Step 3 · 1–5 days

Process audit

We analyse the process on data: calls, CRM, spreadsheets. Duration depends on the complexity of the task.

  • Effect estimate: hours, money, payroll
  • Solution and architecture
  • A ready spec
Step 4

Contract and spec

Timeline, price, stages and acceptance criteria are fixed in the contract. The spec is an annex to it.

  • Contract
  • Spec as an annex
  • Stages and payment schedule
Step 5

Development

Short iterations: we show intermediate results as we go and test on your data, not on a demo.

  • Demos along the way
  • Testing on real data
  • Access to the system from stage one
Step 6

Launch and support

Acceptance against the spec criteria, acceptance certificate, team training. Then — 24/7 monitoring and improvements as the business grows.

  • Acceptance certificate and closing documents
  • 24/7 monitoring, 99.99% uptime
  • SLA support

Documents at every stageContractSpecAcceptance certificateClosing documents for accounting

Let's
talk?

Leave a phone number or a messenger — whichever is convenient. We call or write back within a day and book a free 30-minute discovery call.

Phone only or messenger only is fine. We reply within a day, no spam or newsletters.

Or right away: Telegram · @one_lab_support →  ·  find a solution in the quiz ↑  ·  hello@1-lab.dev