Three pillars, one accountable technical team.
Three pillars that stand alone or support each other: AI systems wired into business processes, engineers who add capacity to your team, and the software everything runs on.
01
AI Engineering & Machine Learning
AI agents, RAG, speech-to-text, and predictive machine learning — built with your data, tested before release, and connected to the channels your team already uses.
AI agents & conversation automation
Agents that reply, negotiate, draft proposals, and issue invoices on the channels your customers already use — following the business rules you set.
What we have shipped
- ReachAI — Unified WhatsApp inbox with knowledge-base AI replies, CRM pipeline, and billing.
- KiosPro — AI that negotiates second-hand phone prices with customers.
LLM tool-callingOpenAIClaudeOpenRouterWhatsApp APIRAG & knowledge assistants
Assistants that answer from your own documents — SOPs, contracts, catalogues, or classical texts — and cite their sources, so every answer can be checked.
What we have shipped
- Hikam Shughro · Maktabah AI — Answers stay grounded in the reference texts, not invented by the model.
EmbeddingspgvectorCosine retrievalCitation groundingSpeech-to-text & documents
Meeting, call, or lecture recordings turned into transcripts, structured minutes, and action items — no retyping.
What we have shipped
- Hikam Shughro · AI minutes — Automatic meeting transcription and summarised minutes.
Whisper large-v3GroqSummarizationStructured outputPredictive machine learning
Models that learn from your historical data to predict, classify, or score — trained, validated, then deployed into production systems.
What we have shipped
- Auto-trading bot (private) — Signals from an ensemble of Random Forest, gradient boosting, decision tree, and neural network models.
- INVLY.ID — AI reports for inventory and rental transactions.
scikit-learnXGBoostLightGBMNeural networkpandas
How we build AI
01
Start from the process, not the model
We map the one process that costs the most time or money, then decide whether AI is really the answer — sometimes plain automation is enough.
02
Prototype with your data
The first version is built on real documents and data, so answer quality can be judged before a bigger investment.
03
Measure before release
Every system is tested against an agreed set of questions or test data, including rules for when the AI must hand over to a human.
04
Wired into production
The AI connects to the WhatsApp, dashboards, or databases you already use — with logs, cost per request, and access control.
The stack we run in production
OpenAI · Claude · OpenRouter · Groq · Whisper · pgvector · scikit-learn · XGBoost · LightGBM · FastAPI · Next.js · Laravel · Flutter
02
IT Outsourcing
Squads are assembled per project from engineers who have already worked with us, led by an ASIIFDEV lead engineer accountable for the technical work. You get capacity, not a hiring burden — with time-zone overlap for Asia-Pacific, the Middle East, and Europe.
Dedicated engineers
One or more engineers working full-time on your project, following your sprint rhythm and internal tools.
Best for: You already have a team and need extra capacity or expertise.
Project squad
A complete squad — engineers, QA, and design when needed — with an ASIIFDEV lead engineer accountable for technical delivery.
Best for: A new project with a clear scope and no in-house tech team.
Team augmentation
Specific expertise for a given phase: AI integration, migration, performance audit, or a mobile release — then a clean handover to your team.
Best for: Short-term needs that call for a specialist.
Roles we can fill
- Frontend (React, Next.js)
- Backend (Node.js, Laravel, Python)
- Mobile (Flutter, React Native)
- AI / ML engineer
- QA & testing
- UI/UX designer
- DevOps & cloud
How it works
01 · Brief
Stack, duration, time zone overlap, and responsibilities you need. A short message is enough.
02 · Curation
We pick engineers from a network that has already worked with us, matched to your stack.
03 · Kickoff
The squad meets your team with the lead engineer: access, ways of working, and definition of done are agreed.
04 · Delivery
Regular progress reports, code review by the lead engineer, and documented handover at the end.
03
Product Engineering
Websites, web apps, and mobile apps that give your AI and data a home — designed from your business flows, not a template.
Corporate Websites
An official company website that looks professional, loads fast, and is ready for branding, sales, tenders, and digital campaigns.
- Clear sitemap and business content structure
- Service, portfolio, company, and conversion-focused pages
- On-page SEO, structured data, sitemap, and robots
- A structure your internal team can update easily
Custom Web Applications
Internal dashboards, customer portals, booking systems, lightweight ERP, or operational systems built around how your business actually works.
- Requirement mapping and user flows
- Modern frontend and scalable backend
- Roles, permissions, approval flows, and reporting
- API, database integration, and baseline monitoring
Mobile App Development
Android and iOS apps for customer service, field operations, membership, booking, or any mobile-first digital experience.
- Mobile-first flows and user journeys
- API integration, authentication, and data sync
- Cross-device testing and release QA
- An architecture ready for incremental growth
Maintenance, SEO & Growth Support
Ongoing support for technical maintenance, SEO, new features, and lead-capture integrations so your digital assets stay healthy and keep growing.
- Technical maintenance and bug fixing
- Performance, SEO, and baseline security optimisation
- New landing pages, feature iterations, and form/CRM integrations
- Guidance on your next digital product
Supporting capabilities
- Blockchain Development
- Decentralised solutions, smart contracts, wallet flows, and blockchain-based verification for digital products and transactions.
- Automation
- Workflow automation for lead handling, approvals, reporting, data sync, notifications, and repetitive processes that are still manual.
- IoT Solutions
- Device, sensor, gateway, and monitoring dashboard integration for tracking, monitoring, alerting, and field operations.
Ways to work together.
Final cost and timeline are set once scope is agreed. This table helps you pick the most sensible starting format.
| Format | What it covers | Cadence |
|---|---|---|
| AI Pilot | One AI use case mapped, prototyped with your data, and evaluated before deciding to go to production. | Per use case |
| Outsourcing Squad | Dedicated engineers or a full squad with a lead engineer, assembled for your stack and project length. | Monthly |
| Website Development Sprint | Corporate website, company profile, service pages, portfolio, and calls to action ready for business. | 4–6 weeks |
| Custom Web / Mobile Build | A web app or mobile app connected to your operations, customer flows, and business data. | 6–12 weeks |
| Maintenance & Growth Retainer | Monthly support for maintenance, new landing pages, SEO, and further feature iterations. | Monthly |
Questions before working together.
If you are comparing vendors, this section helps set clear expectations.
Yes. We work remotely with clients in any country, in English or Indonesian. Our working hours (UTC+7) overlap with Asia-Pacific, the Middle East, and Europe mornings, and we agree on overlap hours and communication channels (WhatsApp, email, Slack, or your own tools) at kickoff.
It runs in production. Examples include Maktabah AI in the Hikam Shughro app (RAG that answers from classical texts), AI meeting minutes built on speech-to-text, and the sales negotiation agent in KiosPro. We also released business-leads-ai-automation as open source on GitHub.
For document-based needs we use RAG: answers are drawn from your documents and cite their sources. Before release the system is tested against an agreed list of questions, with rules for when the AI must hand the conversation to a human.
We do not sell fixed headcount. Each squad is assembled per project from engineers who have already worked with us, matched to your stack and timeline, and led directly by an ASIIFDEV lead engineer who is accountable for the technical work.
Yes. We operate as a registered Indonesian limited liability company, PT Asiifdev Digital Agency.
Yes. We build custom web applications such as dashboards, operational systems, customer portals, booking flows, and other tools tailored to your business processes.
Yes. We develop mobile apps for customer service, communities, booking, education, and field operations.
A company website usually takes 4 to 6 weeks. A custom web app or mobile app depends on scope, typically 6 to 12 weeks for the first version.
Yes. We can take care of on-page SEO, technical maintenance, performance optimisation, bug fixing, and further development after the project goes live.
Start with the most urgent pillar. The rest can follow.
Send a short overview on WhatsApp or email. We reply with the right questions to shape an initial scope.