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Applied AI

AI models, put to work on real business problems.

HSR AI Tech is an applied-AI company. We build and deploy AI models and agent systems that solve concrete business problems — research, operations and customer-facing work — inside the client’s own cloud.

One engagement, start to finish

  1. 01 Scope the problem
  2. 02 Prototype & evaluate
  3. 03 Deploy on your cloud
  4. 04 Operate & improve
Every system ships with evaluation results, monitoring and a human approval step

Business

Applied AI — building and deploying AI models and agent systems for business

Focus

Research automation, operations and customer-facing workflows

Contact

contact@hsraitech.com

Who we are

An engineering company, not a slide deck

HSR AI Tech builds AI systems that do real work. We start from a business problem — a research process that takes too long, an operations queue nobody can keep up with, a customer channel that needs answers around the clock — pick the model and architecture that measurably fit, and deploy the result in the client’s own cloud with monitoring, cost controls and a person in the loop.

More about the firm

Four things we do

  1. 1 Applied AI Models
  2. 2 AI Agents & Automation
  3. 3 Data & Research Pipelines
  4. 4 AI Advisory & Enablement

What we do

Models, agents, pipelines, advisory

Four service lines that share one output: an AI system that is measured, deployed and running on the client’s problem.

01

Applied AI Models

Selecting, adapting and evaluating foundation models for a specific business task — and getting them into production.

02

AI Agents & Automation

Agent systems that carry out multi-step business workflows — with tool access, guardrails, and a person approving what matters.

03

Data & Research Pipelines

Continuous pipelines that turn documents, filings and web sources into structured, reviewable output.

04

AI Advisory & Enablement

Practical help deciding what to build, what to buy and what to leave alone.

How we operate

Principles before volume

01

Evaluate before deploy

Every model and agent is measured against the client’s own data before it touches production.

02

Human in the loop

Consequential actions wait for a person. Automation speeds up the work; it does not remove accountability.

03

Your data stays yours

Systems run in the client’s cloud tenancy. We do not train on client data.

04

Cost is a design constraint

Token spend, latency and infrastructure cost are tracked from the first prototype.

Why us

Built for production, not for demos

Model-agnostic

We work across leading closed and open-weight models and choose by measured fit for the task, not by habit.

Production, not demos

Deliverables are running systems with evaluation results, monitoring and cost controls — not slide decks.

Bilingual by construction

English and Chinese sources, interfaces and documentation, so nothing is lost to translation.

Cloud-native

Designed to run inside the client’s own cloud account, with Amazon Web Services as our primary platform.

Questions about our company?

We work with companies that want AI models doing real work. Email is the fastest way to reach us.