InApps Technology
GPT-4oClaudeLangChainLlamaIndex

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?

InApps Technology team at work in the Ho Chi Minh City office

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 Now

Why AI Agents, Why Now?

40%

Companies using AI agents reduce operational costs by 40% within the first year

Source: McKinsey, 2024

3x

Early AI adopters are 3x more likely to outperform market competitors by 2026

Source: Gartner, 2024

$50B

AI agent market projected to reach $50B by 2030, adoption is accelerating now

Source: Mordor Intelligence

Technical Depth

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.

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Mini Case Study

Customer support agent handling 80% of inbound tickets automatically, response time cut from 4 hours to 30 seconds.

Delivery

From Idea to Production in 8 Weeks

Week 1–2
Discovery

Use case prioritization, data audit, architecture blueprint, ROI model

1
Week 3–4
Proof of Concept

Working agent prototype, integration tests, stakeholder demo

2
Week 5–6
Pilot Build

Production-grade agent, guardrails, monitoring dashboard, user testing

3
Week 7–8
Production Deploy

Full deployment, runbook, team training, SLA agreement

4
Ongoing
Optimization

Performance tuning, prompt versioning, cost tracking, model updates

5
Business Impact

What This Means for Your Business

40%
Time Saved

Average reduction in manual processing time

60%
Cost Reduction

Average reduction in per-task operational cost

3x
Revenue Unlocked

Faster product iteration with AI-Native teams

In Depth

Featured Case Study

DR.NEE Healthcare

AI-powered telemedicine platform, automated symptom triage, 100K+ users, 6-month delivery.

Your TeamTask / GoalOrchestratorLangGraphLangChainRAG + ToolsAutoGenMulti-AgentCrewAICrew TasksDeliveryCode / Data / Insight
AI AgentOutputData flow
Read the full case study
Stack

Models, Frameworks & Infrastructure

LLM Providers

OpenAI GPT-4oOpenAI GPT-4oClaude 3.5Claude 3.5Google GeminiGoogle Gemini

Frameworks

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Infrastructure

AWS BedrockAWS BedrockPPineconeWWeaviate
Who Builds This

AI Engineering Team

500+ in-house developers · Specialized AI/ML vertical · Vietnam + Singapore

Minh Tran profile photo

Minh Tran

AI Solutions Architect

Exp.10+ years
StackLangChain · AutoGen · AWS Bedrock
Edu.M.Sc. Computer Science, HCMUT
ex-Google AI
Linh Pham profile photo

Linh Pham

LLM Integration Engineer

Exp.7+ years
StackRAG · Embeddings · Fine-tuning
Edu.B.Eng. AI, UIT Vietnam
OpenAI Partner Certified
Duc Le profile photo

Duc Le

MLOps Engineer

Exp.8+ years
StackMLflow · SageMaker · Kubeflow
Edu.M.Sc. Data Science, NUS
AWS ML Specialist
FAQ

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

Jollibee logo – InApps Technology client
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Future Processing logo – InApps Technology client
Pegas Touristik logo – InApps Technology client
Mega Market logo – InApps Technology client
Haivanship Towage and Shipping Agency logo – InApps Technology client
Stremium logo
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InApps-Tessa-logo
Jollibee logo – InApps Technology client
KFC logo – InApps Technology client
Lotte logo – InApps Technology client
Prudential logo – InApps Technology client
Future Processing logo – InApps Technology client
Pegas Touristik logo – InApps Technology client
Mega Market logo – InApps Technology client
Haivanship Towage and Shipping Agency logo – InApps Technology client
Stremium logo
Two-Raw-Sisters-logo
InApps-Tessa-logo
Free Assessment

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.

No pitch decks. No sales calls unless you want one. Just a real analysis.