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.
- 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.
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.
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.
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.
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
- 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
- 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
- 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
- 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
- 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.
Machine Learning and Deep Learning Frameworks.
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.
DatabNLP Toolsse
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.
Speech Recognition & Synthesis
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.
Databases and Data Storage
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.
AI Infrastructure and Cloud Platforms
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.
Frontend and Backend Frameworks
Docker
Model AI in standalone environments for portability.
Kubernetes
Manage and scale containerized deployments of AI.
Terraform
Automating infrastructure setup and scalability.
Deployment 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.
ML Workflow Orchestration
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.
APIs & System Integration
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.
Security and compliance
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.
Analytics & Visualization
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
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.
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.
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
What is an AI Agent?
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.
How much budget is needed to develop AI agents or apps?
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.
How long does it take to build typical AI agents or mobile apps?
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.
Can you build AI agents for speciality industries?
Of course, we build AI agents that meet industry requirements – financial, health, retail, logistics, real estate, education, and more.
Which technologies do you use in the development process?
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.
Do you provide support and maintenance after launch?
Definitely, we provide full support, including bug fixes, enhancements, retraining the AI model, system audits, and feature updates.
Is my data safe with you?
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.
Can you integrate the AI agent with our existing system or CRM?
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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