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AI Software Development Services

At Vivasoft, we deliver end-to-end custom AI software development built around real business challenges. Using machine learning, automation, and scalable engineering, we create AI systems that optimize workflows, unlock insights, and drive measurable results.
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Custom AI Development for Your Operational Business Outcomes

We engineer production-grade AI systems for your data, workflows and scale. Each one deploys fast, holds under load and integrates with your existing infrastructure.
workflow

Workflow Automation

Multi-step business processes run automatically from start to finish. Handoffs speed up and throughput rises across teams.

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Data-Driven Decisions

Operational data turns into forecasts and early risk alerts. Teams act on live signals and make informed decisions faster.

operations

Customer Operations

Customer support and intake requests get answers around the clock. Complex cases move to your staff with context attached.

scale

Reliable Scale

Performance stays steady as transaction volume increases. Systems keep running at peak load across your entire operation.

Production-Grade AI Services We Deliver

Our AI services cover strategy, engineering and integration. Each service delivers a system that runs continuously in your live environment. Engage one service on its own or combine several into one program.

AI Strategy and Readiness Consulting

Our consultants audit your data and rank each use case by value and effort. We test feasibility with a quick proof of concept on your own data. You get a phased roadmap with ROI targets, cost estimates and clear build priorities.

Custom AI and Machine Learning Development

Every model we build starts in Python, with PyTorch or scikit-learn. Our data scientists engineer features from your records. We validate each model on holdout data. Then we ship it as a versioned API with live drift monitoring.

Generative AI and LLM Integration

We connect GPT, Claude, Gemini or Llama to your documents through a vector database. Retrieval keeps every answer tied to your approved sources. Our team adds guardrails, prompt versioning and usage tracking for each release.

AI Agents and Workflow Automation

Each agent runs on LangGraph and calls your CRM, ERP and helpdesk APIs. Tool permissions define exactly what it can read, write or trigger. Our engineers add approval steps, so people review every sensitive action before it runs.

AI Built Around Your Industry Workflows

Every sector carries its own data formats, compliance rules and daily routines. We study these before design begins. Our teams then shape each AI system around them.

AI Built Around Your Industry Workflows

Every sector carries its own data formats, compliance rules and daily routines. We study these before design begins. Our teams then shape each AI system around them.
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Fintech

We build audit-ready AI for banks, lenders and payment gateways. Our systems screen card transactions, verify customers and score credit risk. Each one runs under strict access controls.
  • Fraud and Chargeback Control: AI flags risky card payments, holds them for review and builds dispute evidence.
  • Credit and Loan Underwriting: Cash-flow data ranks applicants by repayment risk for faster credit decisions.
  • KYC, AML and Sanctions: Our team builds document checks that verify customer IDs and screen names against sanctions lists.
Telecom

Telecommunications

We build load-tested AI for mobile operators and broadband ISPs. Our systems monitor network performance, protect subscriber accounts and identify customers at risk of leaving. Each system follows your uptime and reliability requirements.
  • Network Fault Detection: Flags early fault signals across base stations, fiber links, and network activity.
  • Subscriber Churn Prevention: Our built system analyzes usage and billing data to identify at-risk subscribers.
  • Fraud and Revenue Protection: Detects SIM-swap, roaming, and subscription fraud across network records.
healthcare

Healthcare

We build benchmarked AI for hospitals, clinics and health-tech platforms. Our systems structure patient records, organize clinical information and prioritize imaging queues. Each system keeps clinicians in control of final decisions.
  • Clinical Documentation: Structures clinical notes and lab results into EHR records with relevant ICD-10 codes.
  • Medical Imaging Support: Analyzes X-rays, CTs, and MRIs to flag cases needing earlier radiologist review.
  • Patient Data Privacy: Masks patient identifiers before data processing to protect sensitive health information.
Saas

SaaS

We build API-first AI for SaaS vendors and subscription platforms. Our systems answer users in-app, identify high-value trial accounts and keep customer data isolated. Each release passes defined quality checks before deployment.
  • Product Support Assistants: Answers user questions in-app using your documentation and help center content.
  • Trial-to-Paid Conversion: Analyzes feature usage and onboarding activity to identify trials showing stronger buying signals.
  • Tenant Data Isolation: Separates customer data and enforces role-based access to prevent unauthorized cross-tenant access.
Real estate

Manufacturing

Across your plants, shop-floor AI inspects parts, predicts equipment issues and plans material needs. Our team connects these systems to your existing PLC, MES and ERP platforms.
  • In-Line Quality Inspection: Our built vision system detects surface defects and out-of-tolerance parts during production.
  • Downtime Prevention: Analyzes vibration, temperature, and duty-cycle data to flag potential CNC failures early.
  • Inventory and Parts Planning: Forecasts material requirements and spare-parts demand using your MES and ERP data.
Logistics

Logistics and Supply Chain

Every build starts with your shipment, fleet and warehouse data. Our team turns it into dock-to-door plans for carriers, 3PLs and shippers. Each system links to your TMS, WMS and EDI feeds.
  • Last-Mile Route Planning: Creates dispatch-ready routes around traffic, delivery windows, and vehicle payload.
  • Warehouse and Demand Planning: Our built-in forecasting system uses WMS data to project SKU demand and set pallet-level stock targets.
  • Freight Document Automation: Reads bills of lading, invoices, and customs forms to identify data mismatches.
E commerce

Retail and Ecommerce

Deploy bench-tested AI for catalogs, pricing and stock across every sales channel. Our team ties it into your POS, ecommerce platform, warehouse systems and loyalty data.
  • Catalog and Product Search: AI matches shopper intent, fills product attributes and ranks results across your catalog.
  • Pricing and Markdowns: Our software sets SKU-level markdowns using sales, demand and competitor pricing data.
  • Stockouts and Returns: Our team builds alerts using POS and inventory data to flag stockouts and suspicious returns.
Marketing

Sales and Marketing

Behind every campaign and closed deal sits your data. Our pipeline systems turn it into ranked leads, traced ad spend and drafted outreach. Each one syncs with your CRM and ad platforms.
  • Lead Scoring and Routing: AI ranks inbound leads by fit and intent, then routes them to the right sales reps.
  • Campaign Spend Control: Our software connects ad spend to booked meetings and closed deals through attribution tracking.
  • Outreach and Call Insights: Our team builds assistants that draft email sequences and log call summaries in your CRM.
gaming

Gaming

We develop AI for game studios covering matchmaking, anti-cheat and player support. Our systems connect with game servers, stores and player accounts. Each solution fits your release cycle.
  • Matchmaking and Lag Control: AI matches players by skill, region and ping for balanced, low-latency matches.
  • Cheat and Bot Detection: Our software analyzes gameplay telemetry to detect aimbots, wallhacks and bot accounts.
  • Chat Moderation and Support: Our team builds tools that filter toxic chat and route player tickets to the right queue.

Our Process Behind Every AI Build

Let us know what the business needs to solve, ahead of any tool or platform. We start there. Every phase stays tied to that one answer.
01

Define the Business Problem

Our team confirms the outcome your business needs, ahead of any tool or platform. We audit your current data, systems and workflows on a discovery call. Analysts rank each use case by business value and effort to build. Then we run a short trial phase, using your own data as the test. The phase produces a scoped plan, a cost estimate and a clear goal. Work on the build starts once that plan is signed off.

02

Engineer and Integrate the System

Our engineers turn the confirmed use case into a working system. Data specialists prepare your data and test it against goals you set. Developers wrap each build in a secure, versioned tool with full documentation. The system then connects to your CRM, ERP or other existing platforms through direct integrations. Every build passes peer review and a security check before it reaches your environment.

03

Deploy and Refine in Production

The system goes live inside your existing environment, not a sandbox. We track performance, error rates and usage from day one. Accuracy checks catch when results slip, and we re-tune the system on schedule. Your team gets a live dashboard with clear metrics, not raw logs. Support stays in place after launch, so the system keeps working as your operation changes. We stay on call for the first quarter.

Technologies We Use for AI Development 

JavaScript

TypeScript

React JS

Next.JS

Vue

Tailwing CSS

Redux Toolkit

Zustand

Java

TypeScript

Python

PHP

C#

Go

Node.JS

spring-icon

Spring Boot

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Django

FastAPI

Laravel

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.NET

NestJS

PostgreSQL

MySQL

MongoDB

Redis

Elasticsearch

GraphQL

Apache Kafka

WordPress

WooCommerce

Flutter

React Native

Swift

Kotlin

Dart

AWS

Microsoft Azure

Google Cloud

Docker

Kubernetes

Terraform

GitHub Actions

Jenkins

Azure Pipelines

Argo CD

PyTorch

OpenCV

OpenCV

Apache Spark

Apache Airflow

Pandas

NumPy

Vertex AI

Industries We Serve

Finance & Banking

AI

E-commerce

Telecommunication

Real Estate

Software

Automotive

Business

Photo & Video

Startup

AR/VR

Legal Services

Non-profit

Energy & Utilities

Logistics

Health & Fitness

Gaming

Fashion & Apparel

Agriculture

Govt. & Public

AI Development Case Study

Adding AI Screening to an ATS to End Manual Resume Review

Recruitment teams face challenges with manual resume screening and inconsistent candidate assessments. To address this, Vivasoft developed Novara, an AI-powered ATS with resume screening, automated interviews, and candidate scoring. The platform now helps recruiters evaluate candidates through a structured hiring workflow.

View Case

Adding AI Screening to an ATS to End Manual Resume Review

Industry
Recruitment Technology
Location
BD Bangledesh
How a Live AI Interviewer Replaced Mock Interview Partners

Job seekers lacked access to realistic, role-specific interview practice with immediate feedback in mock interviews. Vivasoft developed Previea, an AI-powered platform that conducts live mock interviews, evaluates responses, and generates performance reports. Launched in Bangladesh, the platform now handles 250 - 300 interviews daily.

View Case

How a Live AI Interviewer Replaced Mock Interview Partners

Industry
Recruitment Technology
Location
BD Bangledesh
How a Custom Speech Model Cut Repetitive Calls by 30%

Contact centres struggles with repetitive calls and limited voice AI support for regional languages. Vivasoft developed Kothon, a multilingual voice AI platform with in-house speech models for automated inbound and outbound calls. The platform now handles live customer conversations and automatically evaluates call quality.

View Case

How a Custom Speech Model Cut Repetitive Calls by 30%

Industry
Conversational AI
Location
BD Bangledesh
Team Augmentation Scales AdTech Engineering Since 2019

Businesses needed a simpler way to access and deploy multiple AI models without managing separate integrations. Vivasoft developed Azerion.ai, a unified AI platform with a high-performance Go-based gateway and an automated marketplace. It enables one-click deployment of text, image, and video AI models with real-time billing.

View Case

Team Augmentation Scales AdTech Engineering Since 2019

Industry
AdTech
Location
Netherlands Netherlands 1
An Enterprise RAG Assistant Built for 92–96% Retrieval Precision

Bangladesh's largest telecom operator struggled to retrieve accurate information from scattered internal documents. Vivasoft developed Tiger Agent, a RAG-powered knowledge assistant using hybrid search and a vector database. The platform achieved 92–96% retrieval precision with average response times of 6–10 seconds.

View Case

An Enterprise RAG Assistant Built for 92–96% Retrieval Precision

Industry
Telecom
Location
BD Bangledesh

Flexible Engagement Models for AI Development

Vivasoft offers multiple engagement models to match your goals, team structure, and budget, so you can collaborate in the way that works best for your business.
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AI MVP Development

We turn your AI idea into a working MVP with core features first so you test with real users early.
Build Your AI MVP
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End-to-End AI Development

We own your AI product from early strategy through final launch, carrying the entire build.
Build Your AI Solution
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Team Augmentation

Add AI/ML engineers to your setup, as a dedicated team, specialist or short-term extension.
Hire AI/ML Experts

How We Build AI Software Around Real Decisions

We keep every AI decision reversible until the data proves otherwise. Nothing gets locked in before the simplest option has been fully tested first.
Use AI When
  • Inputs vary too much for fixed rules to handle.
  • Patterns exist but are difficult to define manually.
  • The system needs to improve as new data arrives.
  • Decisions depend on multiple factors at once.
  • Results need to be personalized at scale.
AI is suited for complex, evolving decisions where systems need to learn from data, identify patterns, and adapt as conditions change.
Use Rule-Based Logic When
  • Decision logic is fixed and clearly defined.
  • Every output must be fully explainable.
  • Business rules are already documented and approved.
  • Regulations require deterministic, auditable processes.
  • Decision scenarios are limited and clearly predictable.
Rule-based systems apply predefined conditions consistently, making decisions predictable, transparent, and easy to audit.
Build Custom When
  • Your workflow does not fit existing solutions.
  • The system creates a core business advantage.
  • You need complete control over data and decision logic.
  • Existing tools fail security or compliance requirements.
  • The solution will evolve as your business grows.
A custom build makes sense when the technology directly impacts how you compete, differentiate, or operate.
Buy or Integrate When
  • A proven solution already solves the problem.
  • Speed is more important than complete customization.
  • The requirement is common across businesses.
  • Your team does not want to manage ongoing maintenance.
  • Subscription costs make more sense than custom development.
We integrate the right tools into your systems and build only the missing pieces needed to create a complete solution.
Start With a PoC or MVP When
  • You need proof before requesting funding for a full build.
  • The solution requires validation before wider adoption.
  • Business value is unclear without real-world results.
  • You need usage data to support future investment decisions.
  • Leadership has not committed budget to this direction.
A controlled investment at this stage reduces risk by validating the opportunity before committing significant resources to a full-scale solution.
Go to Production When
  • The business case is approved and funding is secured.
  • Leadership is ready to commit without further trials.
  • The solution meets required performance and reliability standards.
  • Competitors are already delivering similar capabilities.
  • The investment remains valuable despite slower adoption.
Moving to production means committing resources to a solution with a clear business case, operational readiness, and long-term value potential.
Centralize First When
  • Your data sits scattered across several disconnected systems.
  • Multiple teams need the same data and keep duplicating work.
  • You're planning several AI projects, not just this one now.
  • Inconsistent formats are already causing errors downstream.
  • You want a single source of truth to build on going forward.
A centralized build costs more now, but it avoids paying for the same integration work on every future project.
Build on What You Have When
  • You need real results fast, not a long setup phase.
  • Only one or two systems hold the data you actually need.
  • A full data platform simply isn't in scope right now at all.
  • The use case only touches a narrow slice of your full data.
  • You want to prove real value before you fund infrastructure.
Connecting to what you have gets value in front of stakeholders faster, without a big infrastructure spend upfront.
Build Security In When
  • Your product handles regulated or high-risk operations.
  • Security failures could impact your core product experience.
  • Sensitive data is processed within core workflows.
  • Security cannot be separated from core functionality.
  • Your team owns security decisions during development.
Security stays embedded within the product, reducing gaps and improving control over risk.
Add a Governance Layer When
  • Your organization manages multiple AI systems or vendors.
  • Teams need consistent security and compliance controls.
  • Auditors require centralized visibility across systems.
  • Systems follow shared policies across environments.
  • Leadership needs enterprise-wide risk oversight.
Centralized governance provides visibility, consistency, and oversight across complex AI environments.

Why Companies Choose Vivasoft for AI Development

Business-First AI Development

We confirm the precise, stakeholder-approved business outcome, before any single technology or platform gets selected.

Engineering Discipline at Every Stage

Every build passes independent peer evaluation and a thorough, documented security assessment before final deployment.

Transparent Delivery, Start to Finish

Stakeholders see sprint progress, backlog priorities and every milestone through continuous, fully-unfiltered updates.

Engineers You Can Add On Demand

Experienced AI engineers join your project within weeks, bypassing every protracted recruitment and onboarding delay.

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Build AI Solutions That Drive Business Growth

Turn your business challenges into intelligent AI solutions. From strategy and development to deployment, we build scalable AI software tailored to your business goals.
Start Your AI Project
  • Peer-Reviewed Code
  • Security-Tested Solutions

Frequently Asked Questions

1. How long does it take to develop a custom AI software solution?
The timeline depends on the complexity of the use case, data availability, integration requirements, and production goals. We typically begin with discovery and feasibility validation, then move through development, testing, deployment, and continuous improvement based on business requirements.
Every AI project starts with understanding your available data sources, quality, structure, and business objectives. Our team evaluates your existing data environment, identifies gaps, and prepares the required data pipelines to support reliable AI model development and deployment.
Yes. We design AI solutions that work within your existing technology ecosystem by connecting with platforms such as CRM, ERP, databases, and internal applications. Our engineers build secure integrations that allow AI capabilities to improve your current workflows without disrupting operations.
AI systems require continuous monitoring after launch. We track performance, accuracy changes, system behavior, and usage patterns to identify when adjustments are needed. Our team refines models and workflows over time to keep the solution aligned with changing business conditions.
The right approach depends on your business goals, workflow complexity, security requirements, and need for customization. We evaluate whether a custom build, existing platform integration, or a combined approach delivers the best balance of speed, control, and long-term value.

Still have a question in mind?

Contact us if you have any other questions.

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