Fast-Track Your Business With Personalised AI Agents

At Esferasoft Solutions, we design smart, scalable AI agents that operate exactly as your business works. Whether it’s an AI salesman, intelligent operations manager, or a fully automated workflow assistant, our team of experts builds AI agents that can think, learn, and act accurately.

Let’s Build Your AI-Powered Future From Today.

What Are AI Agents, and Why Are They Important to Your Business?

AI agents are intelligent, self-operating software systems that are advanced by enhanced technologies, such as Large Language Models (LLMs), machine learning, and natural language processing (NLP). These agents supersede basic automation; they understand, decide, and act much like human teammates but faster and without errors.

Reasons For Business Adoption of AI Agents

Automate the Repetitive
Agents should handle all mundane tasks so that real human beings, such as your employees, might get things done. 

Self-Learning. Evolutionary
AI agents grow on their own through real-time data and insights without any need for manual updating.

Minimize Errors, Maximize Efficiency
Eradicate mistakes while making intelligent decisions. 

Hyper-Personalize User Experiences
Agents dig into behaviour and data to formulate personalised interactions and recommendations.

Smarter Conversations With NLP
Answer incoming customer enquiries immediately, naturally, and with extreme precision—24/7.

Fuel Innovation for a Future of Opportunities.

Offering possibilities to see and transform with outstanding solutions is our mission.

Our AI Agent Development Service

We design intelligent agents—from automation to predictive analytics—to solve real-world problems faster, smarter, and more efficiently. Here’s what we can present today:

AI Chatbot Agents

Talk to users round the clock through chatbots engaged in conversations, answer questions immediately, and it is also a potential means for automating repetitive support tasks. These chatbots backed with natural language processing and machine learning really expand your support operation without increasing overhead costs.

Personal Rights AI Agents

Engagement and sales are fuelled through user behavior-driven personalisation recommendations. Our agents are based on deep learning and are really ideal with their usage in e-commerce, food delivery, streaming apps, and so on to serve the smarter choice every time.

Autonomous Agents

Our AI agents, using LiDAR, RADAR, computer vision, and advanced algorithms, notice real-time decision-making and navigation. However, in all scenarios, they are developed with precision, safety, and autonomy in mind.

Predictive Maintenance Agents

Agents that view health every time in equipment and predict failures will lessen downtimes and costs. We enable you to prevent disruptions by utilising LSTM, anomaly detection, and time-series analysis.

Stock Advisory AI Agents

Trade is much simpler due to the purchase and sale of real-time responses read by the market using autonomous agents. We employ RNNs, reinforcement learning (such as PPO), and predictive analytics to optimise performance.

Computer Vision AI Agents

From face recognition to object tracking, we built agents that interpret video data with the help of YOLO and Mask R-CNN tools, which are essential for surveillance, quality control, and visual automation.

Natural Language Understanding Agents

Our NLU agents have been built on the BERT, T5, RoBERTa, and Hugging Face models, which interpret and process human language across summing, information extraction, and advanced query handling.

Fraud Detection AI Agents

Real-time detection of anomalies and fraud will be a significant advantage to them. Using ML models, these agents analyse transaction patterns, which is very beneficial for fintech, insurance, and e-commerce securities.

Sales AI Agents

Let AI sales agents take care of lead sourcing, scoring, and outreach. Our AI salespeople go from hot leads to steaming cold outreach and close deals quicker owing to the NLP and predictive insights.

Customer Retention AI Agents

Customer retention entails keeping your customers coming back. Our AI agents automate the entirety of email, WhatsApp, and SMS marketing along with its churn prediction and improved retention, which is more clever than XGBoost.

Our AI Agent Development Lifecycle

From Idea to Intelligent Execution – How We Build Scalable AI Agents to Work 

At Esferasoft, we don’t build just AI; that’s what all AI companies do. We build AI that gets your goals, generates as much revenue as required, and ends with real results. Our stepwise development life cycle implementation ensures accuracy and efficiency for your AI agent, built for impact over the long term.

Discovery & Requirement Planning

We go deep into the business goals, business challenges, and market trends in your business, which helps us in determining the KPIs that we need to create with the right AI agent, be it conversational, predictive, or process-focused. All planning is milestone-driven and is kept transparent using tools such as Jira and Trello.

Data Collection & Preprocessing

Good AI starts with good data. We collect both structured (databases) and unstructured (social and text logs) data, further cleaning, normalising, and formatting it for training. Our data science team employs libraries such as Pandas and NumPy to manipulate data before using Scikit-learn to ensure that it meets criteria for quality and relevance.

Model Selection & Training

Optimal training models (from classification algorithms all the way to deep learning frameworks like CNNs) will be selected. Then employing TensorFlow or PyTorch, we'll train them to perform tasks such as pattern recognition, language understanding, and prediction, always fine-tuning according to accuracy.

Integration System Development

These trained models will be integrated into the current system, which may be private or newly built. We have ensured intercommunication through our Flask, FastAPI, and API-based solutions. For chat agents, we have used Dialogflow or Rasa to provide human-friendly user interaction.

Deployment & Monitoring

After validation checks, the agent is deployed on a scalable tech stack like Docker and Kubernetes. Live monitoring is secured via Prometheus and Grafana while tracking performance and catching anomalies; a collection of user feedback for constant enhancement purposes is implemented.

Maintenance and Optimization

In doing so, we ensure consistent stellar performance for your AI agent. We maintain your AI agent at peak performance and reliability over time, from retraining with new data to hyperparameter tuning and incorporating fail-safe mechanisms.

Testing and Validation

Our AI agent is thoroughly unit and integration tested with performance testing using Selenium and Postman. In real-life scenarios, the model's output is validated so that it is accurate, reliable, and aligned with the goals.

Mobile Apps for Today—and
Tomorrow

At Esferasoft, we build high-performance mobile apps that blend sleek design with smart functionality. Whether you’re launching a startup MVP or scaling an enterprise solution, our team delivers custom apps that are intuitive, agile, and ready for the future.

95%

Because we deliver quality, our clients come back for more.

$10M+

Apps we’ve built have helped startups secure major funding.

300+

From healthtech to fintech—we’ve done it all, and done it well.

Pushing the Growth Boundaries of Your Business

At Esferasoft, we craft intelligent, personalized AI agents that seamlessly integrate with your business workflows. From automating customer interactions to enhancing decision-making, our AI solutions are tailored to your unique needs. Whether you’re a startup exploring intelligent automation or an enterprise scaling AI capabilities, our team builds adaptive, future-ready agents that deliver real results.

95%

Because we deliver quality, our clients come back for more.

$10M+

Apps we’ve built have helped startups secure major funding.

300+

From healthtech to fintech—we’ve done it all, and done it well.

Types of AI Agents that We Build

AI agents differ in intelligence, autonomy, and adaptability. At Esferasoft, we build all major types, honed to the specific needs of the customer.

Simple Reflex Agents

These agents react instantaneously according to any predefined if-then logic — no memory or context is needed. Simple tasks, such as smart thermostats that adjust temperature based on current readings, best utilise this.

Model-Based Reflex Agents

These agents have memories. These agents make better decisions by keeping an internal model of the environment and taking into account the past. Imagine autonomous cars changing behaviour based on road conditions.

Goal-Based Agents

These agents are designed specifically to achieve certain ends. They consider many means for achieving their ends and decide which would be best according to decision trees and heuristics— just like GPS systems that find the best possible route.

Utility-Based Agents

Utility-based agents aim for the best possible outcome, surpassing goals. Probabilistic models and reinforcement learning make them unique to jobs like stock trading, which basically focuses on maximising returns.

Self-Learning Agents

They improve with time. With the help of deep learning and adaptive algorithms, these agents learn from experience – perfect for chatbots and recommendation engines that learn with every interaction.

Multi-Agent Systems

These agents collaborate. Decentralised systems, such as supply chains or swarm robotics, utilise collaboration and communication to address intricate issues using distributed intelligence.

Power Your Vision with Esferasoft, the Leader in AI Agent Innovation

Businesses trust us. Intelligence powers us. Future-ready by design.

At Esferasoft, we don’t just build AI-based agents but create intelligent and scalable systems according to your business goals, which are unique to us from others, as follows:

#1 Depth of Expertise in AI & Machine Learning

We’ve worked with the most advanced technologies in AI, including ML, NLP, deep learning, and LLMs. With top-notch tools like TensorFlow, PyTorch, and OpenAI APIs, our agents can adapt autonomously and deliver unmatched performance on the AI front.

#2 Custom-Made Solutions for the Unique Needs of Each Industry

Industries may be very different from each other, and so are our solutions. Whether a healthcare assistant or a recommendation engine for retail or predictive models for finance, each AI agent we develop is focused on curing industry-specific issues with pinpoint resolution.

#3 Scalable & Future Proof Architecture

Design is always growth-orientated. Whether scaling up with millions of users or working offline in real-time environments, we make sure the AI agent just works— all while using top-quality cloud providers, including AWS, Google Cloud, Azure, and edge computing.

#4 Built-In Security & Compliance

Your information is safe with us. Each and every solution is secured with encryption, MFA, and role-based access controls. Also, we are compliant with GDPR, HIPAA, and CCPA requirements, keeping your operations protected and regulation-ready.

AI Agents Built for Every Industry

Tailored intelligence. Real-world impact.

At Esferasoft, we create custom AI agents designed to solve specific challenges across key industries. From finance to dating, our domain-trained agents automate operations, enhance decision-making, and deliver measurable results.

Finance
Smarter Systems. Safer Transactions.
  • Fraud Detection: Identify anomalies and flag suspicious activities in real-time using ML-powered agents that evolve with emerging fraud patterns.
  • Automated trading: Execute high-frequency trades based on live data and historical trends—maximising profits and minimising risks.
  • Personalised Financing: AI-driven advisors offer investment suggestions based on goals, risk appetites, and financial behaviour.
  • Tax & Planning Automation: Streamline tax filing and financial planning through data-backed recommendations and compliance tracking.
Ecommerce

Boost Sales. Enhance CX. Reduce Overheads.

  • Personalised Recommendations: Analyse shopping behaviour to suggest products that convert.
  • AI Chatbots: 24/7 customer support that resolves queries, tracks orders, and increases retention.
  • Dynamic Pricing: Optimise pricing strategies based on demand, competition, and inventory levels.
  • Inventory Intelligence: Predict stock needs and automate restocking to prevent losses and delays.
Real Estate

Faster Conversions. Smarter Property Matching.

  • Property Recommendations: Match buyers and renters with ideal listings using user and market data.
  • Virtual Assistants: Automate scheduling, enquiries, and viewing requests with AI chatbots.
  • Pricing Insights: Leverage AI to evaluate trends and suggest the right price every time.
  • Smart Document Processing: Automate lease agreements and compliance tasks to speed up transactions.
HealthCare

Better Care. Efficient Operations. Accurate Diagnosis.

  • Medical Imaging Analysis: AI models detect patterns in X-rays, MRIs, and CT scans for faster diagnosis.
  • Virtual Health Assistants: Automate appointment scheduling, FAQs, and medication alerts.
  • Predictive Healthcare Analytics: Flag potential health risks using patient history and lifestyle data.
  • Medical Record Management: Keep EHRs organised, compliant, and easily accessible—reduce administrative loads.
Dating

More Matches. Safer Connections. Personalised Experiences.

  • Smart Matchmaking: Recommend compatible profiles based on interests, personality traits, and behaviour.
  • Chat Assistance: Help users start conversations and stay engaged with AI-driven prompts.
  • Fraud & Safety Detection: Monitor suspicious profiles and activities for safer dating experiences.
  • Relationship Insights: Use behavioural data to improve compatibility and match quality.
Finance
Finance
Smarter Systems. Safer Transactions.
  • Fraud Detection: Identify anomalies and flag suspicious activities in real-time using ML-powered agents that evolve with emerging fraud patterns.
  • Automated trading: Execute high-frequency trades based on live data and historical trends—maximising profits and minimising risks.
  • Personalised Financing: AI-driven advisors offer investment suggestions based on goals, risk appetites, and financial behaviour.
  • Tax & Planning Automation: Streamline tax filing and financial planning through data-backed recommendations and compliance tracking.
Ecommerce
Boost Sales. Enhance CX. Reduce Overheads.
  • Personalised Recommendations: Analyse shopping behaviour to suggest products that convert.
  • AI Chatbots: 24/7 customer support that resolves queries, tracks orders, and increases retention.
  • Dynamic Pricing: Optimise pricing strategies based on demand, competition, and inventory levels.
  • Inventory Intelligence: Predict stock needs and automate restocking to prevent losses and delays.
Real Estate
Faster Conversions. Smarter Property Matching.
  • Property Recommendations: Match buyers and renters with ideal listings using user and market data.
  • Virtual Assistants: Automate scheduling, enquiries, and viewing requests with AI chatbots.
  • Pricing Insights: Leverage AI to evaluate trends and suggest the right price every time.
  • Smart Document Processing: Automate lease agreements and compliance tasks to speed up transactions.
HealthCare
Better Care. Efficient Operations. Accurate Diagnosis.
  • Medical Imaging Analysis: AI models detect patterns in X-rays, MRIs, and CT scans for faster diagnosis.
  • Virtual Health Assistants: Automate appointment scheduling, FAQs, and medication alerts.
  • Predictive Healthcare Analytics: Flag potential health risks using patient history and lifestyle data.
  • Medical Record Management: Keep EHRs organised, compliant, and easily accessible—reduce administrative loads.
Dating
More Matches. Safer Connections. Personalised Experiences.
  • Smart Matchmaking: Recommend compatible profiles based on interests, personality traits, and behaviour.
  • Chat Assistance: Help users start conversations and stay engaged with AI-driven prompts.
  • Fraud & Safety Detection: Monitor suspicious profiles and activities for safer dating experiences.
  • Relationship Insights: Use behavioural data to improve compatibility and match quality.

Must-Have Features for Modern AI Agents

Smarter capabilities. Scalable design. Seamless user experiences.

Intelligence is only one aspect of AI agent development; adaptability, ethics, efficiency, and real applicability round out the picture. Here is a comprehensive list of the must-have features for expanding into different industries:

Continual Learning & Model Updates

AI agents must evolve with changing data. We do continual learning with the aid of transfer and federated learning, keeping the models accurate without compromising user privacy.

Ethical AI & Bias Mitigation

Fairness matters. Our agents follow AI ethics frameworks, implementing bias detection algorithms to ensure transparency, equity, and trust in decision-making.

Energy Efficiency & Sustainability

We design lightweight, low-power AI systems using optimised algorithms and models—minimizing energy consumption and supporting sustainable AI practices.

Get integrated machine learning and deep learning.

We build our AI agents using supervised, unsupervised, and reinforcement learning techniques, which are excellent for predictive analytics, fraud detection, and automation.

Omnichannel Deployment

We ensure agents work across the web, mobile, IoT, and smart devices powered by APIs and SDKs for consistent cross-platform performance.

Real-Time Data Processing & Streaming Analytics

From financial trades to logistics, our agents process live data for instant, accurate decision-making, utilising cutting-edge tools for streaming analytics.

Total Security Framework

Your data is safe with our security-first AI, which has end-to-end encryption and MFA, RBAC, and is strictly compliant with GDPR, CCPA, and HIPAA.

Cloud & Edge: Scalable

Whether cloud-based or edge-deployed, our AI systems ensure low latency, high availability, and scalable performance, withstanding remote conditions.

Predictive & Prescriptive Intelligence

We integrate AI models that predict trends and prescribe actions – critical for supply chains, finance, and demand planning.

Workflow Automation & Task Management

Agents leverage Artificially Intelligent RPA with CRM integration to automate everything from invoice processing to lead nurturing, increasing productivity and reducing costs.

Multi-Language & Dialect Support

Our NLP systems support multiple languages and regional dialects so one can communicate naturally and at scale across global markets.

Integrated Analytics & KPI Monitoring

Track your performance in real time with dashboards that monitor response time, user engagement, and success metrics, thus fuelled by continuous improvement.

Domain-Specific Knowledge & Expertise

Our agents are trained in industry contexts using knowledge graphs, ontologies, and structured datasets, from healthcare to retail.

Adaptive Interfaces & Accessibility

Speech-to-text, gesture controls, and customised UIs ensure user-friendly, accessible interactions, even for non-tech-savvy users.

Offline Functionality via Edge AI

No connection? No problem. Our edge-deployed AI agents process data locally, allowing for reliable performance even in low-connectivity environments.

API & System Integration with Third Party

From CRM to ERP, our agents integrate with third-party systems to ensure seamless data flow and better enterprise-wide functionality.

AI Agent Development Tech Stack

The Right Tools for Intelligent, Scalable AI Solutions

Esferasoft employs such a carefully considered tech stack with the heterogeneous AI agents, which are intelligent, responsive, and ready for production. This comprehensive device encompasses programming, modelling, deployment, and security, ensuring that your AI agent consistently excels!

Python
JavaScript / TypeScript
R
Java


TensorFlow


Pytorch


Scikit-learn


Keras

spaCy

Hugging

Dialogflow


NLTK


Google Speech-to-text


Amazon Polly


DeepSpeech


MongoDB


PostgreSQL


Redis


Elasticsearch


AWS SageMaker


Google AI Platform


Microsoft Azure AI


IBM Watson Studio


React


Flask/Django


Node.js


Docker


Kubernetes


Terraform


MLflow


Kubeflow


Apache Airflow


OpenAI API


Twilio API


Slack/Teams APIs


OAuth 2.0 and JWTs


TLS/SSL


GDPR, CCPA, HIPAA Compliance


Tableau


Power BI


Plotly / Dash

Python

The mainstay of AI development, with libraries such as TensorFlow, PyTorch, and Scikit-learn.

JavaScript/TypeScript

For developing dynamic web-based AI agents, real-time UIs are possible, too.

R

Ideal for statistical modelling and advanced data analysis.

Java

An enterprise-ready language that scales and stabilises AI for deployment.

TensorFlow

An End-to-end framework for scalable AI solutions.

Pytorch

Flexible, research-driven models.

Scikit-learn

Classic ML algorithms for clustering, regression, and classification.

Keras

A high-level neural network API, perfect for rapid model design.

spaCy

Fast pipeline for tokenisation, classification, and ner in NLP.

Hugging

Face Transformers: State-of-the-art models like BERT, GPT, and T5 for contextual understanding.

Dialogflow

Google’s go-to platform for building AI chat and voice agents.

NLTK

Rich analysis text for linguistic and syntactic tasks.

Google Speech-to-text

Turns spoken words into accurate transcripts.

Amazon Polly

Human-like speech output from text.

DeepSpeech

Open source voice recognition by Mozilla.

MongoDB

Storage for unstructured, document-based data.

PostgreSQL

Powerful SQL database for structured datasets.

Redis

In-memory store for caching and real-time processing.

Elasticsearch

Best suited for search-enabled, analytics-heavy AI agents.

AWS SageMaker

Full-stack cloud ML development and deployment.

Google AI Platform

Scalable tools for model training and serving.

Microsoft Azure AI

Accelerated development using prebuilt AI services.

IBM Watson Studio

An end-to-end environment for managing the AI lifecycle.

React

Responsive and interactive AI dashboards.

Flask/Django

Backend frameworks for model integration to Python.

Node.js

High-speed backend runtime for real-time AI systems.

Docker

Model AI in standalone environments for portability.

Kubernetes

Manage and scale containerized deployments of AI.

Terraform

Automating infrastructure setup and scalability.

MLflow

Experiment tracking, model form filling, and streamlined deployment.

Kubeflow

A solution for ML workflows that is native to Kubernetes.

Apache Airflow

Automating and monitoring complex AI pipelines.

OpenAI API

Build with GPT agents for chat, content, and automation.

Twilio API

Voice, SMS, and communication-driven AI applications.

Slack/Teams APIs

Import AI agents into a company’s communication platform.

OAuth 2.0 and JWTs

Safely authenticate and authorise users.

TLS/SSL

Protect data in transit from outside interference.

GDPR, CCPA, HIPAA Compliance

Prepare for regulatory readiness among industries.

Tableau

Corporate dashboards to see the future with AI.

Power BI

Real-time reporting and business intelligence.

Plotly / Dash

Interactive analytics with Python, where words become stories.

Programming Languages

Python

The mainstay of AI development, with libraries such as TensorFlow, PyTorch, and Scikit-learn.

JavaScript/TypeScript

For developing dynamic web-based AI agents, real-time UIs are possible, too.

R

Ideal for statistical modelling and advanced data analysis.

Java

An enterprise-ready language that scales and stabilises AI for deployment.

TensorFlow

An End-to-end framework for scalable AI solutions.

Pytorch

Flexible, research-driven models.

Scikit-learn

Classic ML algorithms for clustering, regression, and classification.

Keras

A high-level neural network API, perfect for rapid model design.

spaCy

Fast pipeline for tokenisation, classification, and ner in NLP.

Hugging

Face Transformers: State-of-the-art models like BERT, GPT, and T5 for contextual understanding.

Dialogflow

Google's go-to platform for building AI chat and voice agents.

NLTK

Rich analysis text for linguistic and syntactic tasks.

Google Speech-to-text

Turns spoken words into accurate transcripts.

Amazon Polly

Human-like speech output from text.

DeepSpeech

Open source voice recognition by Mozilla.

MongoDB

Storage for unstructured, document-based data.

PostgreSQL

Powerful SQL database for structured datasets.

Redis

In-memory store for caching and real-time processing.

Elasticsearch

Best suited for search-enabled, analytics-heavy AI agents.

React

Responsive and interactive AI dashboards.

Flask/Django

Backend frameworks for model integration to Python.

Node.js

High-speed backend runtime for real-time AI systems.

Docker

Model AI in standalone environments for portability.

Kubernetes

Manage and scale containerized deployments of AI.

Terraform

Automating infrastructure setup and scalability.

OpenAI API

Build with GPT agents for chat, content, and automation.

Twilio API

Voice, SMS, and communication-driven AI applications.

Slack/Teams APIs

Import AI agents into a company's communication platform.

MLflow

Experiment tracking, model form filling, and streamlined deployment.

Kubeflow

A solution for ML workflows that is native to Kubernetes.

Apache Airflow

Automating and monitoring complex AI pipelines.

OpenAI API

Build with GPT agents for chat, content, and automation.

Twilio API

Voice, SMS, and communication-driven AI applications.

Slack/Teams APIs

Import AI agents into a company's communication platform.

OAuth 2.0 and JWTs

Safely authenticate and authorise users.

TLS/SSL

Protect data in transit from outside interference.

GDPR, CCPA, HIPAA Compliance

Prepare for regulatory readiness among industries.

Tableau

Corporate dashboards to see the future with AI.

Power BI

Real-time reporting and business intelligence.

Plotly / Dash

Interactive analytics with Python, where words become stories.

Looking for a Trusted AI Agent Development Partner?

From idea to launch, we build intelligent AI solutions that deliver results.

Custom AI Agent Development Services for Specific Industries

Developing an AI agent requires the integration of features that ensure high performance, scalability, and user-centric functionality. These features enhance the agent’s ability to process data, interact effectively, and provide actionable insights. Here are all the must-have features that your AI agent should have, no matter what industry you are developing it for

Artificial Intelligence Solutions in All Spheres

Through the automation of processes, data-driven decision-making, and customer experience improvement, AI agents have transformed different industries. This is how we customise AI agent solutions for different sectors.

Travel & Hospitality

AI agents are the ones that personalise trip plans for each individual, with recommendations on destinations, hotels, and activities for the user. Aside from taking care of the booking, cancellations, and customer service, they enhance the price prediction and inventory management forecasting.

Energy & Utilities

The variation of our AI agents is in the power optimisation, anomaly detection in grids, and prediction of energy demands in energy affairs. It analyses sensor data for the better maintenance of the infrastructure and enables the customer to monitor and reduce energy consumption in a sustainable way.

Automobile

So from accurate turn-by-turn navigation to predictive maintenance, AI agents will comprise all the in-built features of autonomous vehicles. Virtual in-car assistants will be responsible for enhanced driving experiences through entertainment, climate, and navigation functions.

Laws and Compliance

AI agents will help law firms and legal teams analyse contracts, identify risks, and assist research workflows. They allow reduction of the manual burden by dealing with large volumes of legal documents, ensuring on-time compliance and case management.

Media and Entertainment

User engagement is enhanced through AI-generated content recommendations, automated screenplays and VFX. There also exist AI chatbots for viewer interactivity, responding to queries, and curating content suggestions.

Real Estate

AI agents help in property recommendations, client communication, valuation analysis, and document processing. Besides, the chatbot helps schedule viewings, answers customers' queries, and gives current updates in real-time for buyers and renters.

Education

Our AI agents function as virtual tutors personalising the learning path according to the behaviour of students. They help teachers with grade assessment and student progress insights and automate several administrative processes for instance, enrolment planning.

Logistics

The agents optimised routing, warehouse inventory management, and demand forecasting. They shorten delivery time and reduce costs using real-time anomaly detection and data analytics.

Retail and E-commerce

AI agents approaches are organised around personalisation shopping recommendations, automated inventory management, and optimised pricing. AI chatbots support customers through their purchase journeys, returns, and live customer service support.

Manufacturing

AI-enabled predictive maintenance, quality control, and production system optimisation increase factory performance. AI agents facilitate speed and agility in executing a packing or assembling task using robotics.

Healthcare

AI agents help with supporting diagnosis, patient record management, and planning treatment. Virtual assistants deliver better care by coordinating appointments, answering health enquiries, and sending medication reminders.

Finance and bank

Fraud checking, transaction monitoring, compliance, and investment advisory services tailored to clients are some examples of AI agents that enable our clients. Predictive modelling provides risk assessment for credit and real-time financial trends.

Mobile App Revenue is Booming

With a projected CAGR of 9.27%, mobile app revenue is set to hit $614.4 billion by 2026. If you're considering digitalising your services—now is the time. Let our expert app developers help you turn your idea into a revenue-generating solution.

Future-Engineered Solutions for a Digital Realm

Software Development

We connect coding to business and technology with our deep technical knowledge. 

Mobile App Development

Seamless, scalable, and user-focused—our apps convert ideas into digital experiences.

Digital Experience

When innovation meets design, it creates engaging and immersive digital experiences.

Artificial Intelligence

Unleash creativity and automation powered by AI, which creates new possibilities. 

Cloud Engineering

Scalable, safe, and ready for the future-these are the qualifications of our cloud solutions to empower your growth.

Decentralized, secure, and transparent: blockchain solutions for the new digital age.

User Experience

User Experience (UX) is how users feel and interact with a product, focusing on ease and design.

How Much Does It Cost to Develop an AI Agent?

At Esferasoft, the cost of developing an AI agent typically ranges from $10,000 to $80,000—depending on features, complexity, and data requirements. Here’s what influences the pricing:

Complexity of the AI Agent

Basic agents (e.g., FAQ chatbots) are cost-effective due to their simple logic.
Advanced agents with predictive analytics, multi-turn conversations, or deep learning require more development time and infrastructure—leading to higher costs.

Training Data Requirements

AI performance relies on quality data.
Costs increase based on the effort needed to collect, clean, label, and process domain-specific datasets. Large-scale data training also demands high-end computational power.

Type of Machine Learning Model

  • Pre-trained Models (like GPT or BERT) lower development time and cost.
  • Custom Models tailored to specific business use cases are more resource-intensive and require expert configuration, increasing the investment.

Estimated Cost Range at Esferasoft:

$10,000–$80,000, depending on project scope and complexity.

Want a Personalized Cost Breakdown?

Let’s explore your project needs and provide a custom estimate.

33533

20,000+ Satisfied Customers Trust Our Powerful Services for Transforming Their Success.

200+

Creative team to
care for projects.

4.9

2,488 Rating

Their professional and knowledgeable team delivered a handy tool that helps event marketers streamline their activities. Esferasoft’s efficient communication and useful recommendations are highlights of their work, though they could improve on better managing their timelines.

Vanita Kerai Managing Director, Max7P

Esferasoft Solutions Pvt Ltd transformed a volatile website into a functioning platform designed for optimal UX. While their competitors struggle to meet growing demands, Esferasoft’s responsive team can adjust to any environment and deliver practical solutions fast.

Jeb Blount CEO, Sales Gravy

The app has received promising feedback and is about to launch in the Play Store. Esferasoft Solutions adapted to shifting requirements and quickly implemented all modification requests. Their comprehension of complex requirements allowed them to offer original ideas that improved the product

Steven Brown Creative Director, Digital Comma

Internal stakeholders are pleased with the quality of the delivered system and the transparent communication Esferasoft Solutions Pvt. Ltd. provided. Their commitment to end-user satisfaction and flexibility in the face of shifting requirements helped them stand out.

CA Shrenuj Jalan CEO , Mayo International School

Receiving positive feedback from its clients, the platform functions smoothly and well, while the project's remote work was managed effectively. The team is very quick to respond to any issues that arise within it, ensuring that a direct connection to clients is always maintained.

Chris Weber CEO, Fashion Circle

AI Agent – Intelligent computer software which makes decisions, automates activity and gets into direct interaction and conversation with users utilising technologies such as machine learning, natural language processing, and predictive analytics.

Cost generally ranges from $10,000 to $80,000, depending on the complexity and feature set, training data, pre-trained or custom models, among other things. For a personalised quotation, please reach out to us.

Timelines for development differ based on scope. A simple chatbot or MVP may take 4–6 weeks, while complex AI systems or full-fledged mobile applications can take anywhere between 3 and 6 months. 

Of course, we build AI agents that meet industry requirements – financial, health, retail, logistics, real estate, education, and more.

We use a modern stack such as Python, TensorFlow, React, Node.js, Azure, AWS, and platforms like Salesforce, Shopify, Django, and Power BI, among others. 

Definitely, we provide full support, including bug fixes, enhancements, retraining the AI model, system audits, and feature updates. 

Yes. We apply end-to-end encryption methods, role-based access control, OAuth 2.0, JWT, and compliance with GDPR, HIPAA, and CCPA to ensure data protection. 

Definitely. We offer seamless third-party integration—CRMs like Salesforce, ERPs, HRMS, and two-way-capable platforms like Slack, Twilio, and Microsoft Teams. 

Our Methodology : From Vision To 
Reality

We have a fantastic way of converting the ideas into a real, powerful, effective digital solution through continuous innovation of processes, teamwork, and accuracy.

Each step is instrumental in achieving success in your journey from the first consultation to the final execution.

01

Pick your solution

Select from our comprehensive suite of services tailored to your unique business needs and goals.

02

Book a Strategy Session

Join forces with our specialist strategists and immerse yourselves in your vision to create a game plan.

03

Receive Your Personalized Plan

A personalized roadmap for clearly demarcated steps towards achieving business goals.

04

Turn it on

We do perfectionism: converting plans into reality and into effectual and measurable results.

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