AI Agent Development Services

Overcode develops AI agents with LangChain, GPT, and custom integrations into BI tools, ERP systems, and data lakes. As an AI agent development company, we help companies turn routine tasks into responsive systems that learn and keep performance growing.
Overcode – AI Agent Development Company
9+
Building AI-driven systems for startups and enterprises
5.0
Clutch rating based on verified client feedback and long-term partnerships
30+
Projects delivered across AI agents, data ecosystems, SaaS platforms, and workflow automation tools
What Is an AI Agent?
An AI agent is a part of software that can observe its environment, process input, decide on actions, and operate without your directive input. The AI agents link to data, people, and existing tools in real time, working through reasoning and context instead of preset commands.
An AI agent works in a cycle: it receives input, defines intent, plans a response, and executes it through connected tools or APIs. Built on frameworks like LangChain and GPT, it reasons, adapts, and improves with every new piece of data.
At Overcode, custom AI agent development is built around your specific product goals, from automating customer interactions to managing data workflows and generating data insights. Using agentic logic, our custom AI agents work proactively, adjust to changing conditions, and make decisions that shorten response times and cut down on manual work.

How AI Agents Improve Your Business
24/7 Operation

AI agents can cut resolution times by up to 90% and handle 80% of routine incidents autonomously, since they work around the clock, managing support, monitoring, and routine updates without downtime.
Autonomous Task Execution

Custom agents take over routine work like checking data, sending reports, starting workflows, you name it. In customer services, for instance, AI agents now handle over 60% of customer inquiries.
Cost and Efficiency

AI agents drive over 60% productivity gains and can save companies more than $3 million annually. Automating repetitive work lets one agent replace several roles, reducing costs while keeping operations steady.
AI Agent Solutions
Each Overcode-built AI agent handles its part, from support to analytics. These are our favorite examples of AI agents that quietly manage data flows behind complex products.





AI Agent Solutions for Industries
Overcode creates custom AI agent solutions that fit the logic and tools of each industry. If your niche isn’t listed below, contact us and we’ll adapt our approach or build something entirely new.
Healthcare
Telemedicine, Medical Devices, Mental Health, BioTech, AgeTech, IVF, EHR / EMR
Data Platforms
Data Quality tools, Alerting & Incidents automation, Observability / Monitoring apps
Travel & Hospitality
Flight / Hotel / Experience Booking apps, Travel Planning, HMS, Event & Festival apps
Web3 & Blockchain
Fintech
LawTech & LegalTech
FoodTech
Real Estate
Education
Engagement models we offer
Hire Overcode to integrate AI agents into your product, from simple automations to complex, multi-agent systems. Work with one engineer or a whole team, depending on your scope and speed.
Our AI Agent Development Solutions
Overcode builds AI agents for business applications that handle automation, analytics, and customer engagement, tested in production and designed around real use cases.

Voyagi - AI Travel Itinerary planer
Web App design & development | React.js, Next.js, Supabase

Embryonics - AI IVF Company
Web App design & development | React.js, Redux, AWS

Prometheux - data foundation layer for AI
UX/UI Design

DataFlint - AI copilot for Apache Spark
UX/UI Design and Web development | React.js, Next.js

SignifAI (Acquired by New Relic)
Web development | React.js, Redux, AWS

Verdict app - Litigation Predictions tool
Web App design & development | React.js, Next.js, SWR
Technologies we use
Our AI agent development approach combines LLM orchestration, data pipelines, and custom APIs to create intelligent systems that automate research, reporting, and decision steps within your software stack.
Computer Vision and Speech Recognition
Solutions for building AI apps that see, understand, and listen, powered by tools that turn visual and audio input into actionable data.
Recommendation Systems
Software technologies behind personalized user experiences — from content and AI/ML product suggestions to smart search and discovery.
Front-end
Frameworks and libraries we use to build performant and responsive user interfaces.
Back-end
Services and tools that power the core logic, APIs, and third-party integrations behind the scenes.
Infrastructure
Tools for deploying and monitoring apps in production — with CI/CD support and cloud-native scalability.
Database
Storage technologies we trust to manage structured and unstructured data at any scale.
AI Models We Work With
ChatGPT
Well-recognized OpenAI product that is known among types of AI models as the #1 choice for product interfaces, copilots, and natural-language user interaction.
Claude
Claude handles different long texts like contracts and layered chats, perfect when your app needs to remember details and keep conversations clear.
Perplexity
Perplexity pulls live data before answering, so we suggest using it for knowledge apps, RAG workflows, and assistants that need fresh, accurate info on demand.
Gemini
Thanks to its multimodal capacity, it manages text, images, and code at once. Best for hybrid apps relying on AI to handle multiple input types.
Cohere
Great for embeddings, semantic search, and classification. Cohere fits enterprise search, ranking, and retrieval-augmented generation with smart data querying.
LLaMA
An open-source family of AI models, ideal for private infrastructure, low-level customization, and cost-effective deployment in controlled environments.
Mistral
Known for its lightweight architecture and speed, so we suggest choosing Mistral for latency-critical applications and fully self-hosted model setups.
AWARDS & RECOGNITION
Clients on Our AI Agent Development Services






Certified AI Agent Development Professionals
If you need engineers skilled in LLMs, automation, and data integration, Overcode’s pool of talent is where you’ll find professionals who build reliable, production-ready AI agents.

Vlad S.
Team Lead

Artem L.
Full-stack Developer

Mykyta P.
Front-end Developer
FREQUENTLY ASKED QUESTIONS
Answers to the most common questions about AI agent development, from setup and training to cost, timelines, and integration.
How does an AI agent differ from a chatbot? How does a GPT agent differ from an ML model?
A chatbot follows scripted replies. Artificial intelligence (AI) agents can act independently. It processes requests, performs tasks, and interacts with other systems in real time. GPT-based or OpenAI agents use advanced AI models that understand context and generate natural responses. In contrast, classic machine learning models are built for more narrow predictions or classification. In short, AI agents think and act, while chatbots only react.
How much does it cost to develop an AI agent for business?
Costs depend on how complex your agent should be, how much data it needs to process, and how many tools or systems it must be connected to. Basic AI agent development services start around $20,000. Enterprise-level virtual agents or automation platforms that combine many AI models and APIs might require higher investment and ongoing support. Before making any commitments, we’ll prepare for you approximate estimates, budgets, and timelines for implementation.
What do we need to get started?
To start AI agent development, you just need an idea of the task or process you want to automate and access to your existing data or tools. If you’re unsure where to begin, the Overcode team can help. We’ll look at your goals, review your systems, and outline how an AI agent app can fit into a custom workflow. From there, our team designs a reliable setup with the proper architecture, tools, and APIs.
Can we integrate it into our system?
Yes. Overcode builds AI agents software that connects with CRMs, ERPs, or custom systems through APIs. This makes the AI agent app part of your infrastructure.
Who trains the model?
Training depends on the solution. For OpenAI agents, we fine-tune GPT-based artificial intelligence models with your data and use retrieval pipelines to keep answers up to date. For custom AI agent development, our engineers manage setup, model selection, and continuous retraining.
Can we use our own API?
Yes. Custom AI agents can connect to your existing APIs to pull data or trigger specific actions. This way, the AI agent works directly with your software and keeps all sensitive information protected inside your system. So yes, it’s a good way to integrate custom workflows.
How long does custom AI agent development take?
Timelines vary by scope. A simple AI agent app takes around 4-6 weeks. Full-scale virtual agents with integrations, dashboards, and compliance layers can take several months, depending on your ecosystem and goals.
What types of languages and platforms are supported?
Our AI agent development services support Python, Node.js, and JavaScript. We deploy AI agents as web platforms, mobile assistants, or internal tools to be integrated with your existing systems.
How is private information stored and processed?
Your data will be stored in secure cloud environments with encryption, tokenized access, and anonymization. All AI agents comply with data protection policies. Overcode never reuses client data for training unless explicitly authorized. So you can be confident that security is our top priority, and this fact is backed by positive client feedback and our solid reputation.
What should we do if the AI agent makes mistakes?
If an AI agent responds incorrectly or misses context, it’s usually a data or setup issue. The Overcode team will review the case, check logs, and adjust prompts or model parameters. We’ll also track how the agent learns over time to prevent the repetition of such issues.
