Add ChatGPT to Your Business with Expert Integration
We help companies go beyond the ChatGPT playground. Our team integrates OpenAI's models directly into your products, internal tools, and customer touchpoints — with the guardrails, cost controls, and reliability production demands.
Trusted by innovative teams worldwide
Recognized OpenAI Expertise
Our engineers hold the certifications and partnerships that matter for enterprise ChatGPT work.
Full-Spectrum ChatGPT Integration
From quick API hookups to deeply embedded GPT-powered workflows — we handle the entire integration lifecycle.
OpenAI API Integration
Production-grade integration with GPT-4o, GPT-4 Turbo, and future models. Streaming responses, function calling, structured outputs, and retry logic baked in from day one.
Custom GPT & Assistants
We build custom GPTs and OpenAI Assistants tailored to your domain — with persistent threads, file search, code interpreter, and custom actions wired to your internal APIs.
Prompt Engineering & Optimization
Systematic prompt development using chain-of-thought, few-shot examples, and output schemas. We A/B test prompt variants and optimize for quality, cost, and latency simultaneously.
Fine-Tuning & Model Customization
When prompting isn't enough, we fine-tune GPT models on your data. Training data preparation, hyperparameter tuning, evaluation benchmarks, and A/B rollout against base models.
Chatbot & Conversational UI
Customer-facing chatbots powered by ChatGPT with memory, context windowing, escalation to human agents, and multi-turn conversation management that feels natural.
Cost Control & Token Optimization
Smart model routing, response caching, prompt compression, and usage monitoring dashboards. Most clients save 30–50% on API costs within the first month of optimization.
Ready to Put ChatGPT to Work in Your Product?
Book a free integration assessment — we'll map your use case to an architecture and cost estimate.
ChatGPT in production is a different game entirely.
Anyone can build a demo with the OpenAI API. We build the production infrastructure — error handling, cost controls, safety guardrails, and monitoring — that makes ChatGPT reliable enough for your customers.
Production ChatGPT Without the Surprises
We've seen every way ChatGPT integrations break in production. Our architecture patterns prevent hallucinations, cost spikes, and downtime before they happen.
Why Teams Choose OpenMalo for ChatGPT Integration
We've integrated ChatGPT into fintech platforms, healthcare apps, and SaaS products where reliability isn't optional.
Tell Us About Your ChatGPT Use Case
Describe what you want ChatGPT to do in your product and we'll come back with an architecture plan and cost estimate within 24 hours.
Our Engagement Process
Use Case Discovery
We map your workflows, identify where ChatGPT adds value vs. where simpler solutions win, and define success metrics for the integration.
Architecture & Prompt Design
API integration architecture, prompt chains, function calling schemas, and safety guardrails — designed and documented before we write a line of code.
Build & Integrate
Production integration with streaming, error handling, retry logic, caching, and cost monitoring. Wired into your existing product and tested end-to-end.
Optimize & Benchmark
Prompt A/B testing, token usage optimization, latency tuning, and quality benchmarking against your acceptance criteria.
Launch & Monitor
Production deployment with real-time monitoring dashboards, cost alerts, quality scoring, and on-call support during the critical first weeks.
What Our Clients Say
“We spent two months trying to integrate ChatGPT ourselves and kept hitting rate limits, inconsistent outputs, and cost overruns. OpenMalo rebuilt it in three weeks — now it's our most-used feature and costs 45% less than our original attempt.
“The prompt engineering alone was worth the engagement. We were sending 800-token prompts for a task that OpenMalo got down to 200 tokens with better results. Our monthly API bill dropped from $12K to $5K overnight.
“OpenMalo didn't just connect us to the API — they built a complete safety layer. Input filtering, PII redaction, output validation. Our compliance team approved it in one review cycle. That never happens.
45% API Cost Reduction While Doubling ChatGPT Feature Usage
ChatGPT-Powered Loan Assistant for QuickLend
How we integrated ChatGPT into QuickLend's loan origination platform — giving borrowers instant answers about loan terms, eligibility, and documentation while cutting API costs by 45%.
ChatGPT prototype worked great — until it didn't
QuickLend's engineering team built a ChatGPT chatbot in two weeks. It worked well in demos but crumbled in production: inconsistent loan advice, hallucinated interest rates, $12K/month API bills, and no audit trail for compliance.
Our Approach: RAG grounding against live loan product data, prompt chain with built-in fact-checking, response caching for common queries, GPT-4o-mini routing for simple questions, PII redaction, and a compliance dashboard — shipped in 3 weeks.
Read Full Case StudyFrequently Asked Questions
We integrate GPT-4o, GPT-4 Turbo, GPT-4o-mini, and the Assistants API. We also work with Azure OpenAI Service for clients who need data residency or enterprise SLAs. We recommend models based on your quality, cost, and latency requirements — not defaults.
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