Agents & LLM Apps
Agents with Claude, GPT and open-source models. Orchestration with tools, memory, guardrails and continuous evaluation.
- Claude Agent SDK / LangGraph
- Tool use & function calling
- Multi-agent orchestration
We help you build digital products that live and grow with you. AI with the solidity of engineering: secure, scalable and built to last.
Stack and platforms we work with every day
Frontend and backend are just the surface. What keeps a product standing once real users arrive are the layers almost no one shows.
The product from the outside. The surface that gets demoed on a screen.
The 5 engineering layers that keep the system alive: every minute, every user, every incident.
We deliver all 5 layers, not just the two visible ones. That's why our projects are still alive years after kickoff.
We don't sell magic. We design systems with LLMs, agents and models that behave predictably, measurably and safely when they meet the real world.
Agents with Claude, GPT and open-source models. Orchestration with tools, memory, guardrails and continuous evaluation.
Vector indexing, hybrid search and retrieval pipelines that work with your real documents, not with demos.
From CSV to production model: ingestion, validation, training, deployment, monitoring and rollback.
Without evaluation, every model is a black box. We design test sets, metrics and dashboards to see what your AI actually does live.
Voice assistants, multi-speaker transcription, call analytics and low-latency conversational bots.
Classification, detection, OCR and multimodal. From visual inspection to document analysis at scale.
Before suggesting a model, we understand the problem. Sometimes the best solution is an LLM. Sometimes it's a well-written business rule. We know the difference.
We design with the day you'll have 10x users, regulated sensitive data, and a support team awake at 3 AM in mind. Quality is measured in production, not in demos.
Your software doesn't live alone. We integrate it with your existing systems —ERP, CRM, data warehouse, internal tools— so the compound value is greater than the sum of parts.
We don't only build for clients: we operate our own SaaS products, serving thousands of people every day. Each one runs the 5 layers. Each one proves we can sustain what we promise —not for months, for years.
Every product we ship to production —ours or our clients'— runs on enterprise infrastructure. No experiments: mission-critical compute, multi-region and the availability your business deserves.
The gold standard of enterprise cloud. We pick it when availability and scale are non-negotiable.
Fast deployment and predictable costs. Great for apps, APIs and MVPs already serving real traffic.
Enterprise databases and strict compliance. For sensitive data that demands absolute control.
Strong Asia-Pacific footprint and AI-native compute. When your product needs to reach the other side of the world.
World-class frontend. Edge functions, instant deploys and the best DX for Next.js and React apps.
When data can't leave your servers, we bring our solutions to where you are. Physical hardware, private clouds or hybrid setups.
We choose the cloud based on each product's real needs — not on referral contracts. If your product needs to live on another platform, we know how to take it there.
years building tech together
specialized collaborators
projects in production
industries served
SaaS products of our own
active users across our products
No. We are AI experts and experts at building production-ready product. We work on traditional systems, enterprise platforms, migrations and projects where AI makes sense —and where it doesn't, we'll tell you before charging.
A system that supports real users, not just demos. Behind the surface we apply 5 engineering layers —foundations & data, security & access, infrastructure & delivery, scaling & performance, and reliability & AI quality—. If any of those layers is missing, it's not production: it's an experiment on the internet.
Both. We've integrated with 15+ year-old legacy systems and we've also built products from a blank page. What matters is understanding the context before proposing.
For AI: Claude, GPT, open-source models, LangGraph, Claude Agent SDK, pgvector, Whisper. For product: Next.js, React, React Native, Python, FastAPI, Django, Node.js, PostgreSQL, Redis, Docker, AWS, Vercel, Supabase. We choose by the problem, not by the trend.
Three steps: (1) free discovery session to understand the problem, context and constraints; (2) proposal with scope, architecture and plan; (3) kickoff with biweekly sprints, live demos and incremental production releases.
Launch is the beginning. We offer evolutionary maintenance, 24/7 support per SLA, AI model monitoring, continuous improvements and roadmap planning. Most of our clients have been with us for years.
Tell us what you want to solve. In 24 hours we reply with smart questions, not a generic form.
Hi! I'm Hiu, your AI assistant from Hiumanlab. Want to see what we can build together?