Custom ChatGPT development services
PrivateGPT Development Services
Answer Every Query In 2 Seconds.
Are your customer interactions fast, relevant, and truly valuable? Or are they just canned, automated responses? We can build PrivateGPTs tailored to your business—serving as personalized customer care agents that maintain empathy and the human touch. Using OpenAI, Claude, or custom LLMs like Llama, we create conversational interfaces that provide quick, accurate answers to every query in under 2 seconds.
We specialize in AI applications that understand context, handle complex queries, and continuously improve. Whether it’s a chatbot for customer service, a ChatGPT-powered knowledge base, or a custom AI assistant, we deliver seamless integrations into your existing platforms—apps, websites, or CRMs.
With expertise in GPT-4, GPT-3.5 Turbo, DALL-E, and CLIP, we ensure accurate, dynamic responses and interactions. Our ChatGPT API integrations bring AI-driven intelligence to your apps, while our ChatGPT clone models create fully customized assistants built for your specific business needs.
< 2 Seconds
Responses
24/7
Availability
70%
Lower manual tasks
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Custom GPT Development Services
We build Web3 solutions that work—be it a secure blockchain, a DeFi platform, an NFT marketplace, or multi-chain integrations. Our focus is on scalability, interoperability, and speed to keep your business ahead.
A chatbot should do more than just reply quickly—it should understand context, adapt to user input, and most importantly integrate with your systems, so all relevant parts of your business is aware of the interaction. We build ChatGPT-like applications that connect with databases and dashboards for insightful, real-time interactions.
GPT-4 with LangChain maintains conversation history, Pinecone delivers personalized responses. PostgreSQL or MongoDB ensure quick data retrieval. FastAPI, on the backend provides fast API responses.
For example, a legal research AI tool can pull case precedents, summarize legal documents, and generate reports in seconds—cutting research time and improving accuracy.
AI should seamlessly integrate with your existing systems, not work in isolation. We integrate PrivateGPT into your CRMs, customer support platforms, and business apps for deeper insights. Our API layers use FastAPI or Express.js for stable performance. We secure API calls with OAuth 2.0 authentication and speed up responses with Redis caching. Webhook integrations enable AI-generated responses to trigger actions in your workflows.
For example, integrating a custom GPT with an e-commerce platform allows customers to ask about products, track orders, and get recommendations—reducing support queries and improving the buying experience.
AI-first products must be adaptive – continuosly listening to the user and personalizing the responses. We develop GPT-based SaaS applications that automate tasks, generate insights, and provide intelligent recommendations. Fine-tuned GPT-4 models ensure high accuracy, while Hugging Face transformers improve NLP performance. AWS Lambda or Kubernetes enables scalable execution.
For example, a financial analysis tool can automatically digest market trends, company performance data, and economic indicators, generating reports in real-time—eliminating the need for manual research.
Generic AI models aren’t always enough. We fine-tune GPT-4 using industry-specific data, ensuring accurate, domain-relevant responses. LoRA (Low-Rank Adaptation) optimizes the model, while Weaviate enables instant knowledge retrieval. We deploy these models on Azure AI for high performance and security.
For example, a medical AI assistant trained on clinical data and treatment guidelines can help doctors validate diagnoses, or cross-check prescriptions.
A chatbot should understand intent, analyze sentiment, and escalate issues when needed. We build Video AI Bots for Customer support that integrate with Zendesk, Freshdesk, and HubSpot, automating responses and reducing ticket volumes. Rasa NLU enhances intent recognition, while Elasticsearch fetches relevant knowledge base articles instantly. The Video AI bots can handle customers speaking in different languages / accents, and can be trained to automate a few tasks.
For instance, a banking chatbot can handle balance inquiries, transaction disputes, and loan applications, reducing wait times and improving service efficiency.
Content automation must be fast, relevant, and consistent. We build AI-driven content tools using GPT-4 for writing, T5 for summarization, and NLTK for NLP preprocessing. Copyscape API ensures originality, while Grammarly API refines grammar and tone.
For example, a GPT-powered writing assistant can generate contract drafts, case summaries, and legal reports for law firms—reducing manual writing time.
Voice AI should understand speech, process commands, and respond naturally. We develop voice-enabled AI assistants using Whisper AI for speech-to-text, Google TTS for voice synthesis, and WebRTC for real-time interaction. Our solutions support multi-language processing and IVR system integration (Asterisk, Twilio) for automated customer service.
For example, a hotel voice assistant can handle room service requests, provide local recommendations, and manage bookings—allowing hands-free interactions for guests.
AI should automate repetitive tasks, reduce errors, and optimize operations. We develop AI-powered automation tools that can easily integrate with ERP, HRMS, and CRM platforms. Using Zapier and Celery, we enable AI to process approvals, generate reports, and manage workflows.
For example, an AI-powered HR assistant can handle leave requests, payroll inquiries, and employee onboarding, reducing HR workload and speeding up internal processes.
Codewave’s PrivateGPT Development Process
| Phase | Key Deliverables |
| AI Strategy & Feasibility Check | Every AI project starts with understanding your critical business KPIs and Metrics, that need to be improved—be it CX metrics or Process efficiency metrics. We identify where AI can bring real value—and define a roadmap that ensures AI works seamlessly with your systems. |
| Model Fine-Tuning & Customization | Generic AI models don’t always deliver industry-specific accuracy. We fine-tune GPT-4, LLaMA, Claude 2, or Mistral using enterprise datasets and domain-specific instructions. Our custom embedding techniques and reinforcement learning algorithms improve contextual understanding, reducing irrelevant AI-generated responses. |
| RAG Pipeline Development | AI models must retrieve real-time, structured business data to improve response accuracy and prevent hallucinations. We build FAISS-based retrieval systems that allow ChatGPT applications to fetch knowledge from company records, CRM systems, and product databases before generating responses. |
| AI API & Workflow Automation | AI must integrate with existing software, databases, and enterprise applications. We develop custom API layers that connect AI with GraphQL, RESTful APIs, and business rule engines. This enables ChatGPT to automate workflows, trigger system actions, and retrieve data from structured business processes. |
| Performance Optimization & Latency Testing | ChatGPT applications must be fast, responsive, and scalable. We optimize inference speed, API response times, and memory usage, ensuring that AI processes high volumes of requests without lag. We conduct latency testing, load balancing, and caching optimization to maintain enterprise-grade performance. |
| Deployment & Ongoing Optimization | AI systems need ongoing monitoring and refinement to stay effective. We implement AI observability tools, real-time performance tracking, and retraining pipelines to improve accuracy over time. Our feedback-driven model retraining ensures AI adapts to new business requirements and user behavior patterns. |
Let’s build an AI-driven enterprise.
How Codewave Builds AI That Works for Your Business
Every industry has unique workflows, compliance standards, and data requirements. We build AI applications that integrate seamlessly, provide insights, and automate processes.
| Industry | How Codewave Engineers ChatGPT Solutions |
| Finance & Banking | AI-driven fraud detection using Graph Neural Networks (GNNs) and autoencoders to flag anomalies in real-time. GPT-powered transaction risk scoring analyzes historical fraud patterns to prevent suspicious activities. Automated compliance monitoring validates KYC, regulatory filings, and AML checks using LLM-enhanced document processing. |
| Healthcare | AI-powered clinical documentation automation using ChatGPT-based speech-to-text models trained on FHIR and HL7 standards. Smart medical chatbots retrieve real-time patient history from EHRs while ensuring HIPAA-compliant interactions. AI-driven medical coding automation minimizes errors in insurance claims and reduces physician workload. |
| Retail & E-commerce | AI-enhanced product discovery through multi-modal search, enabling customers to search via images, voice, or text. AI-driven demand forecasting optimizes inventory by analyzing sales trends, supply chain conditions, and external factors. Dynamic pricing AI adapts to market demand using reinforcement learning models. |
| Manufacturing & Logistics | Predictive maintenance AI forecasts equipment failures by analyzing IoT sensor data and LLM-powered anomaly detection. AI-driven route optimization integrates real-time traffic, fuel consumption, and warehouse capacity data to cut logistics costs. Smart inventory planning AI ensures warehouses stay stocked efficiently, preventing overstock and shortages. |
| HR & Workforce Management | AI-driven resume parsing and candidate ranking using LLM-based contextual screening, reducing hiring cycles. Employee sentiment analysis tracks feedback, flags engagement risks, and predicts attrition using ChatGPT-driven NLP. AI-powered learning & development platforms customize training paths based on real-time skill assessments. |
What to expect
What to expect working with us.
We transform companies!
Codewave is an award-winning company that transforms businesses by generating ideas, building products, and accelerating growth.
Want AI that actually works for your business? Let’s build it together.
Frequently asked questions
We build ChatGPT-like applications with Retrieval-Augmented Generation (RAG), ensuring AI retrieves verified business knowledge instead of relying solely on its pre-trained model. We integrate FAISS, Pinecone, or Weaviate to store and fetch relevant enterprise data in real time, minimizing hallucinations and improving accuracy.
Yes. We build ChatGPT based applications and AI assistants customized for specific industries, integrating them with CRM, ERP, or internal business workflows. Our team fine-tunes models using domain-specific datasets and optimizes interactions to align with business goals, compliance, and operational needs.
We develop ChatGPT clone models by fine-tuning GPT-4, LLaMA, Claude, or Mistral on custom enterprise datasets. We integrate vector search for real-time knowledge retrieval, optimize response latency, and design scalable API layers to support high-volume interactions.
We integrate PrivateGPT applications using GraphQL, REST APIs, and event-driven architectures (Kafka, RabbitMQ). This allows AI to fetch live data from CRM, automate customer service workflows, assist HR teams, or generate reports within enterprise systems.
We build PrivateGPT applications for finance, healthcare, retail, manufacturing, HR, and logistics. Examples include AI-driven customer support chatbots, AI-powered financial advisory tools, e-commerce recommendation engines, and document automation assistants tailored to business needs.
A ChatGPT-powered application or chatbot takes 4-12 weeks depending on feature complexity, integrations, model fine-tuning, and infrastructure setup. For ChatGPT clones with enterprise data training, the timeline may extend based on customization depth.
Yes. We build AI-driven content generation tools that write product descriptions, draft legal contracts, summarize financial reports, and automate business documentation using GPT-4, Claude, or LLaMA, fine-tuned with industry-specific datasets.
We optimize PrivateGPT applications for enterprise-scale performance using model quantization, caching, and TPU/GPU acceleration. We deploy load-balanced AI architectures with Prometheus and Grafana monitoring to ensure real-time responsiveness under heavy traffic.
