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Building the Future with Intelligent Autonomous
Agents

Trusted Excellence

Expertise in autonomous & agentic AI
Custom Solutions Provider
ISO 27001 certified

Agentic AI Solutions Seasia Infotech Offers

Intelligent Agent Development 

End-to-end agentic AI software development that produces autonomous agents able to sense, reason, and act in real time, continuously learning from new data and feedback loops. 

Agentic AI Architecture & Design 

Future-proof agentic AI architecture design that scales across cloud, edge, and on-device environments while ensuring low latency and high reliability. 

AI Agent Programming & Integration 

Seamless integration of autonomous agents with ERP, CRM, SCADA, and IoT ecosystems using REST, WebSockets, and MQTT for always-on connectivity. 

Custom Agentic AI Software Solutions 

Tailor-made workflows for dynamic inventory, predictive maintenance, advisory engines, and conversational interfaces, all built on secure micro-services. 

Agentic AI Model Training & Deployment 

Continuous training pipelines, MLOps, and multi-modal agentic AI model training and deployment that accelerate time-to-value. 

Lifecycle Management for Agentic AI

24/7 monitoring, drift detection, and automated re-training for bullet-proof agentic AI lifecycle management in production.

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Why Choose Us for Agentic AI Development?

Deep Expertise in Autonomous AI

Over 100 successful projects in development of agentic AI systems and agentic AI algorithm development.  

Advanced Tools & Frameworks 

TensorFlow, PyTorch, ROS, LangChain, and proprietary agentic AI development tools and frameworks. 

Cross-Industry Applications 

Robotics, IoT, smart factories, fintech, healthcare, and eCommerce: deploy once, scale everywhere. 

Scalable, Secure, & Compliant  

SOC 2, HIPAA, GDPR, and PCI best practices baked into every build. 

Engagement Models for Every Need

Prototype / PoC Development

How It Works

Validate concepts in 6–8 weeks and de-risk investment. 

Full-Scale Agentic AI Deployment

How It Works

We own the full lifecycle, from requirements to rollout, so you stay focused on business value. 

Dedicated Agentic AI Teams

How It Works

Elastic pods of data scientists, AI engineers, and DevOps experts embedded with your team. 

Custom R&D for Agentic AI

How It Works

Blue-sky innovation for next-gen robotics, swarm intelligence, and cognitive IoT. 

Choose Your Model

High-Impact Use Cases of Agentic AI Across Major Industries

Explore industries

  • BFSI 

    Autonomous portfolio advisors, real-time fraud-detection agents. 

  • Healthcare

    Adaptive patient-triage bots, diagnostics companions.

  • Retail & eCommerce 

    Hyper-personalized shopping concierges, dynamic pricing agents. 

  • Manufacturing

    Vision-driven quality-control agents, predictive maintenance. 

  • Logistics

    Route-optimization agents, autonomous shipment tracking. 

  • EdTech

    AI tutors delivering personalized curriculam. 

  • Real Estate

    Virtual leasing assistants, intelligent property managers 

  • Robotics & IoT

    Swarm robots, energy-aware smart-device control. 

  • Election Management Software
  • Screen Damage Detection Software
  • AI Real Estate Investment Platform
  • DMV Software
  • BSA Drone App
  • E-scooter App Development
  • Betterfleet -Fleet Management Software
  • Sumeru - Debt Recovery Suite
  • Gis Mapping Software

Election Management Software

Cloud

A digital platform for DMV services including license renewal, vehicle registration, and appointment scheduling.

Case Study Details
Read More

Our Agentic AI Development Process 

  • Use-Case Definition & Feasibility Study    

    Align on KPIs and success metrics. 

  • Architecture & Agent Design  

    Craft modular blueprints for cognition, perception, and actuation. 

  • Development & Model Training   

    Apply reinforcement learning, LLM fine-tuning, and simulation environments. 

  •  Integration & Testing 

    Stress-test agents inside your real-world tech stack. 

  • Deployment & Continuous Improvement  

    Roll out via CI/CD to cloud, edge, or on-prem. 

  • Lifecycle Management & Optimization  

    Automated drift detection, re-training, and A/B performance tuning.  

Key Highlights

Compatible with LangChain, Rasa, ROS, and more
Scalable deployment on AWS, Azure, GCP, and edge devices

Tools & Technologies We Leverage

Frameworks & Platforms

TensorFlowTensorFlow
PyTorchPyTorch
ROSROS
LangChainLangChain
LangGraphLangGraph
AutogenAutogen
A2AA2A
MCPMCP

Agentic AI Development Platforms

KubernetesKubernetes
KubeflowKubeflow
Crew AICrew AI
OpenAI SwarmOpenAI Swarm

Integration Layer

MQTTMQTT
RESTREST
gRPCgRPC
WebSocketsWebSockets

Deployment Targets

CloudCloud
EdgeEdge
GatewaysGateways
Micro-controllersMicro-controllers

Monitoring & Governance

PrometheusPrometheus
GrafanaGrafana
Secure AI gatewaysSecure AI gateways

Need Tailored Agentic AISolutions

Let's Connect

What They Say

Simmi Walia

Simmi Walia

CEO at Realesta

An Esteemed Client

An Esteemed Client

New York, USA

Mrs. Arshpreet Kaur

Mrs. Arshpreet Kaur

Director, WELRM

Nigel Teags

Nigel Teags

CEO - TrackNinja

Insights & Resources

Blogs

Cyber Security-

Why AI-Driven Zero Trust is the Next Evolution in Cybersecurity

Ransomware crews now weaponize generative AI to write polymorphic malware in minutes, while hybrid work has dissolved every neat network perimeter.

AI/ML Services-

Top Artificial Intelligence Companies Transforming Enterprise Solutions

From optimizing processes to forecasting client behavior, artificial intelligence enables businesses to work smarter, not harder.

July 25, 2025

Application Services-

Microsoft Dynamics CRM vs Traditional Systems: Is Your Business Ready for the Future?

The way you manage customer relationships can make or break how efficiently your team works, how your brand is perceived, and how fast you grow.

July 16, 2025

Frequently asked questions

What is Agentic AI and how does it differ from traditional AI? 
Agentic AI equips software with autonomy, proactive decision-making, and goal-oriented behaviors, whereas traditional AI often relies on static, centrally orchestrated models. 
How do autonomous agents work in enterprise environments? 
They perceive data streams, reason with domain-specific algorithms, and act through APIs or devices, continually learning in closed feedback loops.
What are the key challenges in developing Agentic AI systems? 
Safety, interpretability, real-time orchestration, and ongoing lifecycle management are some of the key challenges in developing agentic AI systems. We address these problems with robust guardrails and agentic AI lifecycle management.
Which industries benefit most from Agentic AI technologies?
Any sector requiring adaptive automation - BFSI, healthcare, logistics, manufacturing, retail, and smart-device ecosystems for example, benefit from agentic AI technologies.
How do you ensure security and compliance in Agentic AI? 
End-to-end encryption, role-based access, audit trails, and adherence to SOC 2, ISO 27001, HIPAA, and industry-specific regulations are some ways of ensuring security and compliance in agentic AI.

Empower Your Business with Intelligent Autonomous Agents

Revolutionize your operations with Agentic AI solutions that think, adapt, and act independently. Need more details? Discover how to develop autonomous agentic AI systems, solve the toughest challenges in agentic AI development, and stay ahead of future trends in agentic AI - all with a partner who’s obsessed with your success!

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