AI Agent Development
Custom AI agents and autonomous systems that work 24/7 to automate tasks, enhance decisions, and accelerate your business.
Why Choose InApps Technology?

As a business leader, you need solutions that make an impact, solutions that drive results and grow with you. InApps Technology provides custom-built AI Agents that help your business run smarter, faster, and more efficiently.
We make complex AI solutions easy to implement and manage, even if you don't have a technical team in place.
Why AI Agents, Why Now?
Companies using AI agents reduce operational costs by 40% within the first year
Source: McKinsey, 2024
Early AI adopters are 3x more likely to outperform market competitors by 2026
Source: Gartner, 2024
AI agent market projected to reach $50B by 2030, adoption is accelerating now
Source: Mordor Intelligence
Our AI Capabilities
We build autonomous AI agents that plan, reason, and execute multi-step tasks. From single-task agents to multi-agent orchestration systems that handle entire workflows without human intervention.
Mini Case Study
Customer support agent handling 80% of inbound tickets automatically, response time cut from 4 hours to 30 seconds.
From Idea to Production in 8 Weeks
Use case prioritization, data audit, architecture blueprint, ROI model
Working agent prototype, integration tests, stakeholder demo
Production-grade agent, guardrails, monitoring dashboard, user testing
Full deployment, runbook, team training, SLA agreement
Performance tuning, prompt versioning, cost tracking, model updates
What This Means for Your Business
Average reduction in manual processing time
Average reduction in per-task operational cost
Faster product iteration with AI-Native teams
Featured Case Study
DR.NEE Healthcare
AI-powered telemedicine platform, automated symptom triage, 100K+ users, 6-month delivery.
Models, Frameworks & Infrastructure
LLM Providers
Frameworks
Infrastructure
AI Engineering Team
500+ in-house developers · Specialized AI/ML vertical · Vietnam + Singapore
Minh Tran
AI Solutions Architect
Linh Pham
LLM Integration Engineer
Duc Le
MLOps Engineer
FAQ
We build autonomous task agents, multi-agent systems, RAG-powered knowledge agents, customer service agents, code review agents, data analysis agents, and industry-specific agents (legal, real estate, healthcare, finance).
A chatbot follows scripts and responds to queries. An AI agent can reason, plan multi-step tasks, use tools, access external data, take actions autonomously, and self-correct, making it a true business automation system, not just a Q&A interface.
We implement human-in-the-loop checkpoints, confidence thresholds, fallback escalation flows, audit logging, and adversarial testing. All agents operate within defined guardrails that you control.
Yes. We integrate with Salesforce, HubSpot, Jira, Slack, ServiceNow, SAP, and hundreds of other tools via APIs. Our agents work inside your existing ecosystem, not in isolation.
An AI agent is an autonomous software system that uses a large language model to perceive its environment, plan multi-step tasks, call external tools, and take actions to achieve a goal, without step-by-step human instruction.
Costs vary by team size, scope, and integration complexity. A focused AI agent or LLM integration typically takes 4–8 weeks. A multi-agent orchestration system takes 2–4 months. Contact us for a scoped estimate after a free 30-minute discovery call.
A simple LLM integration (e.g., AI-powered search or document Q&A) takes 2–4 weeks. A production-grade AI agent with guardrails and monitoring takes 6–10 weeks. Full multi-agent systems take 2–4 months.
Traditional automation follows rigid rules. AI agents reason, adapt, and make decisions based on context, they can handle unstructured data, edge cases, and multi-step tasks that break rule-based systems.
Trusted by Engineering Teams Across 15+ Countries
Start with a Free AI Readiness Assessment
Our AI architects will map your highest-ROI automation opportunities and design a tailored roadmap, at no cost.