We develop enterprise-grade custom AI agents that go beyond generative responses and actually execute tasks, automate decisions, and orchestrate complex workflows autonomously. Our LLM engineers work with businesses of all sized at the intersection of agent-based AI automation, LLM-powered frameworks, and domain-specific architectures to build AI agents.
As a long-term Microsoft technology partner, we also help enterprises to build no-code and low-code AI agents by using Microsoft’s Power Platform, including Power Automate, Power Virtual Agents, Copilot Studio, and Azure OpenAI integrations. Businesses often prefer no-code AI agent development for faster deployments with Azure’s enterprise-grade security and control.
As a premier AI agent development company, we have gained hands-on expertise to deliver next-generation agent-based AI automation to the enterprises. We combine the latest advances in agentic AI models and conversational AI solutions with practical business insights to deliver AI agents that drive real ROI impact.
We develop custom AI agents to serve specific purpose autonomously. We leverage the latest agentic AI models such as AutoGPT, SuperAGI, MetaGPT , CAMEL and powerful LLM agent frameworks such as LangChain Agents, LangGraph, CrewAI, AutoGen, OpenAgents, Autogen Studio, AgentGPT and many more to build such use case-specific AI agents.
We design modular, scalable, and secure architectures for deploying single or multi-agent systems at enterprise scale. Our engineers help businesses to integrate components like orchestration layers, memory stores, retrieval modules, and fallback logic. We transform a normal AI chatbot to an autonomous AI agent, that is ready for large scale AI automation.
With our multi-agent system development service, enterprises can build coordinated agent systems for parallel task execution and complex workflows. Multi-agent system (MAS) empowers different AI Agents to collaborate, communicate, or hand-off tasks among each other for a common goal but with separate responsibilities.
At ThirdEye Data, we help enterprises to optimize conversational AI program with LLM agent framework integration with existing systems via APIs, databases, RAG pipelines, and internal tools. We have deep expertise with LangChain Agents, AutoGen, LangGraph, OpenAgents, and other LLM agent frameworks.
Enabling enterprises to develop conversational AI or chatbot solutions that can execute context-aware conversations just like humans. We use of short-term, long-term, and semantic memory management for better follow-up conversations and task continuity.
We develop intelligent AI agents that go beyond static scripts and traditional automation. Our agent-based workflow automation solutions enable systems to reason, adapt, and act autonomously across complex enterprise workflows. These are delivering results for use cases like finance approvals, ticket routing, report generation, fraud analysis, and more.
Enterprises focus on using citizen developers with no-code agent builders to create, test, and deploy agents using pre-built templates and drag-and-drop workflows, choose our no-code AI agent building service. We use of Microsoft Power Platform and it’s features to let business teams create AI agents without writing code.
If business use cases demand AI agents that can see and understand images or video, we integrate computer vision technologies into AI agents. We use GPT-4 Vision, CLIP, SAM, YOLO for object detection, Form reading, OCR to make them perform as/for document agents, quality inspection, visual monitoring.
We develop, train and integrate machine learning models such as forecasting, classification, scoring, anomaly detection, and AI agents can call these ML models as part of their tool set for better reasoning, and perform specific tasks. This kind of ML model integration is needed for data-rich functions and tasks.
Please feel free to consult with our AI agent developers to get a clear road map for your project.
We have over a decade of experience in AI solution engineering. Our AI agent development offerings combine this experience with the latest in LLM agent frameworks, system integration, and human-in-the-loop design. We ensure reliability, flexibility, and enterprise security with our robust agentic development methodology.
Over the years, we have developed 50+ AI agents for various industries and departments. All of them are automating the specific tasks with over 95% accuracy. Most importantly, these AI agents are actively augmenting human efforts, autonomously performing multi-step workflows, and generating measurable outcomes for various real-world use case. Please browse through some departmental examples of our applied agentic automation.
Enterprises deployed customer-facing functions with our intelligent AI agents that go beyond basic chatbot interactions. Our AI agents are equipped to understand context, provide personalized assistance, and integrate directly with existing systems (e.g., CRMs, ticketing systems, and product databases) to offer real-time, human-like support. We recommend these AI agents for enterprises aiming to elevate customer satisfaction while reducing support overhead.
This AI agent autonomously handles Tier-1 and Tier-2 inquiries using contextual memory, knowledge base integrations, and ticketing APIs. It escalates only complex issues to humans, reducing workload and maintaining response quality across channels like chat, email, and voice recordings.
Enterprises deploy help center AI assistant to act as an intelligent FAQ and search assistant, and embed it in support portals. It dynamically summarizes articles, answers product queries, and guides users or visitors through troubleshooting processes based on behavioral and historical data.
Our retail sales AI agents are deployed on e-commerce platforms to enhance customer experience. These agents use recommendation engines and purchase behavior analytics to suggest products, assist with availability queries, answer order status query, and help customers complete purchases efficiently.
Our agentic AI architecture backed, AI assistants integrate live booking APIs, customer profiles, and loyalty data to provide personalized travel planning. It can take completely automate the travel planning process, from flights and hotels to itinerary optimization, while simulating pricing and availability options in real-time.
We empower sales and marketing teams with our AI agents that automate the most critical tasks with minimum to no human intervention. From automating outreach and nurturing leads to content generating & scheduling and performance analysis, our agents streamline revenue-generating workflows and provide data-driven recommendations.
The sales prospecting agent scours the web, CRMs, and lead databases to identify qualified prospects, send personalized outreach emails, schedule follow-ups, and track engagement. It helps sales teams to fetch, qualify and engage leads in faster and smarter way.
With marketing automation agent, teams can automate time-consuming tasks like creating, scheduling, and optimizing posts across social media platforms, and email. It analyzes campaign performance and recommends time slots, formats, and messaging variations using behavioral insights for personalized reach out.
Our billing assistant can handle invoice creation, recurring payment reminders, financial queries, and status updates. We integrated this AI agent with ERP and accounting tools to minimize friction in the customer payment lifecycle. This type of AI agents are delivering results for SaaS and Subscription Model businesses.
We enable enterprises to accelerate recruitment, onboarding, and employee services with task-oriented AI agents. These agents automate repetitive HR tasks and improve employee experience by delivering prompt and contextual interactions. Businesses can seamlessly integrate these AI agents with their existing HR systems.
The agent fetches resumes from job portals, scores them using NLP-based matching, schedules interviews, prepares & gives assignments, and send emails to candidates. Our talent acquisition agent is compatible and can be integrated with popular ATS platforms.
Onboarding buddy autonomously guides new hires through onboarding, answers policy-related queries, suggests learning modules, and helps them get productive faster by syncing with HRMS and internal documentation. It can also be built with no code platforms like Microsoft Power Platform.
This support assistant acts as a 24/7 HR helpdesk answering queries on benefits, leave policies, and compliance. It can trigger workflows like leave applications, document uploads, and IT service requests. This is also included in no-code AI agent development solutions.
Knowledge and research works need a massive time-investment in searching, synthesizing, and interpreting data. Our AI agents streamline research, documentation, and enterprise data access with natural language-driven tools and dynamic information retrieval systems.
Knowledge repository agent provides conversational AI assistant to access internal knowledge repositories (PDFs, SOPs, emails, databases). Employees can ask questions and instantly retrieve answers grounded in enterprise documents.
Our semantic search agent utilizes vector embeddings and RAG (retrieval augmented generation) to understand the intent behind a query and fetch semantically accurate results from structured and unstructured data sources.
This type of AI agent assists R&D, product, and academic teams by scanning large data sets, summarizing documents, and generating new hypotheses. It supports data enrichment and knowledge extraction from disparate data types.
Our agents can extract, parse, and analyze financial documents like P&Ls, balance sheets, invoices, and tax records using document parsing and LLM capabilities. It highlights anomalies and trends for faster decision-making.
We understand that operational agility and proactive monitoring are key to modern enterprise growth. These AI agents interact with real-time dashboards, IoT systems, and process logs to monitor KPIs, flag anomalies, and recommend optimizations autonomously.
These agents track system metrics (e.g., uptime, API health, server load), identify operational bottlenecks, and trigger alerts or automated remediation workflows when anomalies are detected.
Optimizes warehouse operations with a conversational AI platform to track inventory levels, monitor delivery status, and provide real-time status updates across departments.
It tracks deadlines, sends reminders, allocates tasks based on team load, and synthesizes progress reports by integrating with existing project management tools.
A specialized AI agent that schedules meetings, shares agendas, records meeting minutes, and provides follow-up action items. It integrates with calendar apps and communication tools.
If yes, then you can request a live demo to see them in action.
Didn’t find an exact match? No problem, at ThirdEye Data, we specialize in building custom AI agents focused to address unique business challenges.
Let’s build the right agent for you.
At ThirdEye Data, we develop a wide spectrum of AI agents designed to automate, optimize, and enhance complex enterprise processes. These agents are not limited to static workflows or surface-level interactions, rather they are engineered for adaptive intelligence, decision-making, and real-world execution. We categorize them based on the intelligence, autonomy, and adaptability.
Simple reflex agents operate on predefined rules, executing actions based on direct stimuli or observable triggers. They don’t retain memory or context from previous inputs. We build them for structured, repetitive tasks that require fast execution.
Model-based agents introduce contextual awareness by maintaining an internal state or memory of past interactions. This capability allows them to understand the current situation in a broader context and adapt their behavior accordingly.
We engineer goal-based agents with business outcomes in mind. Instead of following static rules, they assess different actions and choose the most effective path to achieve specific objectives. These agents are ideal for tasks where strategic planning, and adaptability are needed.
Utility-based agents extend goal-based logic by evaluating and comparing multiple possible outcomes through a utility function. They choose the action that provides the maximum value in a given context. These agents are delivering results in decision-making scenarios across domains.
Learning agents are built to continuously evolve. They improve over time by learning from past actions, user feedback, or system performance data. We deploy learning agents particularly in domains requiring accuracy, adaptability, and performance improvements.
These autonomous agents can function independently, while multi-agent systems consist of multiple specialized agents working collaboratively. Each agent may be responsible for a specific task but interacts with others to complete complex workflows.
We love hybrid agents for its various AI capabilities, including NLP, computer vision, voice recognition, all into one cohesive system. These agents can process different types of input (text, speech, images, video) and respond intelligently across modes.
As a Microsoft technology partner, ThirdEye Data specializes in no-code AI agent development using the Power Platform suite, such as Coplilot Studio, Power Virtual Agents, Power Automate, and Dataverse. These agents are ideal for enterprises that want to rapidly deploy intelligent automation without a big in-house technical team.
Healthcare demands intelligence, privacy, and real-time decision-making. ThirdEye Data’s AI agents enhance clinical decision support, automate documentation, and power patient engagement systems.
We bring Industry 4.0 to life by developing AI agents that enable predictive maintenance, real-time production monitoring, and adaptive supply chain orchestration.
ThirdEye Data delivers AI agents that drive customer personalization, automate sales assistance, optimize inventory, and streamline billing.
Our AI agents enhance guest experience and streamline backend operations, from personalized trip planning to automated booking management.
In education, intelligent systems boost learner engagement and streamline administrative tasks. AI agents built by ThirdEye Data empower institutions and platforms to automate tutoring, grading, and personalized content delivery.
ThirdEye Data develops AI agents that optimize route planning, automate warehouse operations, and streamline customs and delivery workflows.
ThirdEye Data empowers revenue teams with AI agents that automate lead gen, campaign management, customer feedback analysis, and billing workflows.
ThirdEye Data helps HR teams scale hiring, onboarding, and internal support using intelligent AI agents. Our agentic AI solutions improve candidate screening, automate HR responses, and deliver a consistent, engaging onboarding experience.
Our AI agents streamline the research lifecycle, automating knowledge search, competitive analysis, hypothesis generation, and experimental tracking.
ThirdEye Data isn’t just a tech vendor. We work as a strategic AI agent development partner who understands your domain, your tech stack, and your business pressure points. With over a decade of experience with Microsoft, Google, and AWS tech stack to deploy production-grade AI applications, we bring more than code, we deliver solutions.
With deep hands-on experience in LLMs, multi-agent systems, custom RAG pipelines, hybrid cloud setups, ThirdEye Data has helped leading enterprises across the globe to build their custom AI agents.
Our AI agent framework is modular and white-label, designed to be rapidly adapted for any specific domain, workflows, and data architecture. We tailor the logic, tools, and conversational style to fit the unique needs.
With private hosting of LLMs, Data masking/tokenization before cloud LLM interaction, self-hosted knowledge retrieval, and access control & auditing, we ensure enterprise-grade security & compliance.
Take the next step towards enterprise automation with our custom-built AI agents.
Contact us to discuss your project.
