iNetiV

inetiv.com

We build software and AI for business

Web services, mobile apps, AI systems, automation and integrations — from the idea to a working product.

end-to-end

from idea to launch

AI + software

two pillars of expertise

Integrations

systems, API, CRM

on-prem

can run in the client’s environment

About

iNetiV is an engineering partner, not a “team of programmers”.

We take a business problem, design the solution and ship it: core software, AI inside your systems, and ongoing support. A person stays in the loop wherever a model must not decide.

Focus

What we build

Catalog

Services in detail

Service

Web development

We design and build web platforms: from a client portal to SaaS, with a solid backend and a clear interface.

What’s included

  • Client portals
  • SaaS products
  • Corporate platforms
  • Admin panels
  • Legacy migration
  • Post-launch support

Typical tasks

  • Launch a new product
  • Build a portal for clients and partners
  • Replace a dated site with a modern platform

Examples

Client accountB2B portalSaaS platformOnline store with an account
TypeScriptPythonNode.jsPostgreSQLRedis

Service

Mobile development

iOS and Android apps: customer service, field staff and loyalty programs.

What’s included

  • iOS and Android
  • Cross-platform development
  • Offline and sync
  • Push notifications
  • Authentication
  • Store release

Typical tasks

  • Launch a customer app
  • Give staff a working tool
  • Bring web-account features to the phone

Examples

Mobile client accountCourier appLoyalty program
KotlinSwiftReact Native

Service

Desktop development

Windows desktop systems when you need offline mode, peripherals and a stable workstation.

What’s included

  • Windows apps
  • Operator workstations
  • Offline mode
  • Hardware connectivity
  • Auto-update
  • Link to accounting systems

Typical tasks

  • Automate a workstation
  • Connect scanners, scales or terminals
  • Build an internal tool without a browser

Examples

Operator workstationWarehouse accountingShop-floor terminal
C#PythonTypeScript

Service

AI / ML development

Artificial intelligence in operations: answers from your documents, file parsing, assistants and computer vision.

What’s included

  • Knowledge-base search
  • Document parsing
  • Employee assistants
  • Agents in business systems
  • Image recognition
  • Speech and transcription

Typical tasks

  • Find the right document without manual search
  • Automate incoming document parsing
  • Offload first-line support

Examples

Corporate assistantContracts and invoices parsingSupport assistant
PyTorchPythonTransformersvLLMOllamaOpenCVPostgreSQL
Learn more

Service

Automation

Business processes without manual routine: requests, documents and approvals. We add AI where it speeds parsing, not as a replacement for the system.

What’s included

  • Request routing
  • Document flow
  • Email processing
  • Approvals
  • Status control
  • AI layer in the process

Typical tasks

  • Cut manual data handling
  • Automate request approval
  • Bring document flow into one system

Examples

Request approvalIncoming email parsingHR document flow
PythonPostgreSQLRedisLLM

Service

API and integrations

We connect ERP, CRM, payments and internal services so data is not copied by hand.

What’s included

  • REST API
  • ERP and CRM exchange
  • Payment gateways
  • Marketplaces
  • Message queues
  • Webhooks

Typical tasks

  • Remove double data entry
  • Connect accounting and sales
  • Open an API for partners

Examples

ERP syncCRM integrationAcquiring connectionMarketplace exchange
PythonTypeScriptPostgreSQLRedisRabbitMQKafka

Service

High-load systems

Containers, CI/CD, monitoring and architecture for traffic spikes: queues, cache, scaling and production resilience.

What’s included

  • Containers and Kubernetes
  • CI/CD without downtime
  • Monitoring, logs and alerts
  • Queues and caching
  • Peak scaling
  • Backups

Typical tasks

  • Automate releases
  • Survive a sales or signup peak
  • Set up monitoring and recovery

Examples

Kubernetes clusterAutomatic releasesCatalog and cart at peak
DockerKubernetesLinuxNginxGitLab CIPrometheusKafkaRedis

Service

Telegram and AI bots

Telegram as a service channel: requests, alerts and customer answers without a separate app.

What’s included

  • Request intake
  • Staff alerts
  • Customer replies
  • CRM integration
  • Approvals in chat
  • Answers from the knowledge base

Typical tasks

  • Take a request where the client already is
  • Alert the team about a system event
  • Close typical questions without a call

Examples

Support botCRM alertsRequest intake in Telegram
TelegramPythonPostgreSQLRedisLLM

Service

Parsing and monitoring

Collection and analysis of public data from sites and social networks: mentions, activity, comments and competitor changes — within GDPR, public sources only.

What’s included

  • Sites and catalogs
  • Public social posts and reviews
  • Mention monitoring
  • Comment and activity analysis
  • Price and assortment comparison
  • Reports and exports

Typical tasks

  • Watch competitor prices and stock
  • Collect reviews and comments in one place
  • Catch a spike in brand mentions

Examples

Price monitoringReview digestBrand mention report
PythonPostgreSQLRedisLLM

Service

Web development

We design and build web platforms: from a client portal to SaaS, with a solid backend and a clear interface.

What’s included

  • Client portals
  • SaaS products
  • Corporate platforms
  • Admin panels
  • Legacy migration
  • Post-launch support

Typical tasks

  • Launch a new product
  • Build a portal for clients and partners
  • Replace a dated site with a modern platform

Examples

Client accountB2B portalSaaS platformOnline store with an account
TypeScriptPythonNode.jsPostgreSQLRedis

AI solutions

AI that works inside your systems

Not chat for the sake of chat: integrations, agents, documents, speech, and a human where a decision is required.

01

LLM

Intelligent assistants and services on large language models.

02

RAG

Search and answers over corporate documents and knowledge bases.

03

AI Agents

Action sequences with tools and a human in the loop.

04

Speech AI

Transcription, conversation analysis and voice interfaces.

05

Computer Vision

Analysis of images, video and documents.

06

AI Automation

Automation of repeating cognitive processes.

01

LLM

Intelligent assistants and services on large language models.

02

RAG

Search and answers over corporate documents and knowledge bases.

03

AI Agents

Action sequences with tools and a human in the loop.

04

Speech AI

Transcription, conversation analysis and voice interfaces.

05

Computer Vision

Analysis of images, video and documents.

06

AI Automation

Automation of repeating cognitive processes.

Meeting transcriptionCall analysisEmployee AI assistantCorporate ChatGPTInternal document searchKnowledge-base RAGContract processingData extraction from documentsAI customer supportVoice botCRM agentTicket classificationOCR and scan parsingDocument-flow automationTelegram bot with AILead qualificationCV screeningQuality control from photo/video

Process

How we work

live · Process

BriefgoalAnalysisreviewDatasystemsUXinterfaceDesignsolutionArchitecturebefore codeBuilditerationsTestsintegrationsLaunchprodGrowreleasesSupportmetrics

Stack

Technology

Secondary to the client’s problem, yet enough to cover the loop from API to inference.

Python
FastAPI
Django
Node.js
NestJS
Java
Spring Boot
C#
ASP.NET Core

Industries

Where this is used

Operations and service

Automatic ticket routing, 24/7 support bots, instant answers from the knowledge base and less load on operators.

Documents and legal

Scan recognition, extraction of fields and amounts, auto-drafting of standard contracts, checks for errors and faster approvals.

Sales and CRM

Inbound lead qualification, call and meeting summaries in the deal, prompts for managers and auto-filled CRM cards.

Logistics

Delivery status control, automatic waybill matching, smart client notifications and integration of fragmented accounting systems.

Manufacturing

Computer vision for quality and defects on the line, equipment monitoring and clear panels for shift leads.

Finance and insurance

Reconciliation of invoices and registers, first-pass claim review, client document checks and a transparent audit trail.

Cases

How it looks on a real task

All projects
Headset and a laptop with a speech-analytics dashboard
PythonFastAPIPostgreSQLRedis

Call transcription and speech analytics

Sales and support teams collect thousands of calls a week. Manual spot-listening covers only 3–5% of dialogues — conflicts, lost leads and process breaches stay unseen.

100% of inbound and outbound calls are transcribed and scored by AI: key agreements land in CRM, while critical cases and a digest go to the manager by email and dashboard.

Documents next to a laptop with knowledge-base search
PythonFastAPIPostgreSQLTransformers

Corporate knowledge base and RAG search

Hundreds of policies, contracts and PDF guides sit in different folders. Finding the right clause takes 15–20 minutes, and senior specialists spend up to a third of the day answering the same questions.

Intelligent search finds the exact clause in 2–3 seconds with a direct quote from the source, freeing experts from 80% of routine questions.

Laptop and phone with an AI support chat
PythonFastAPIMCPRedis

AI agent for customer support

60–70% of support tickets are repeats: order status, return rules, delivery hours. Operators are overloaded at peak, and clients wait 30–40 minutes for a first reply.

First response drops from 40 minutes to 5 seconds: typical requests are closed instantly 24/7, and financial operations go to an operator as a one-click review.

Contacts

Let’s discuss the task, not an abstract “deploy AI”.

Write what you want to get — a sketch is enough, we will clarify the rest together.

What you need

iNetiV — software and AI solutions for business