HARDENX
AI FOR BUSINESS. BUILT AROUND REAL WORK.

Less busywork.
More possibility.

Give your team their time back.

From design and operations to sales, finance and supply chains, we get close to how your business works. AI assistants, automation and custom software turn the work you want to improve into solutions your team can use.

Let’s talkExplore our work

Start with one task. Validate with your own samples.

PANZHI / CONNECTED INTELLIGENCE
Possibility, connected.
LESS REPETITION. MORE POSSIBILITY.SCROLL TO DISCOVER ↓
Business firstReal-world validationAI + custom softwarePeople stay in control
01 / EVERYDAY OPPORTUNITIES

A busy day. How much of it is repeat work?

The starting point is often a familiar sentence: “We have to do all of this again.”

01

Another round of image edits

A campaign changes. Designers open, edit, and export each creative again.

02

Files scattered across chats

Submissions, revisions, and decisions live in chat threads. Operations keeps searching and checking.

03

Another copy-and-paste report

Several platforms and spreadsheets mean repeated cleanup and manual consolidation.

02 / REAL WORK. REAL CHANGE.

From “we do this every day” to “AI can help with this.”

Start with real projects. Explore what AI could change across more teams and workflows.

Illustrative walkthrough
Before
EVERYDAY / STUDIOSUMMER EDITA little inspiration, every daySAMPLE CREATIVE↗
What comes back
EVERYDAY / STUDIOAUTUMN EDITA little inspiration, every daySAMPLE CREATIVE↗
E-commerce · DesignReal project · Anonymous client

Turn repetitive image edits into a single brief.

Provide the assets and instructions. An AI assistant handles batch edits; a designer reviews the results.

MinutesProcessing time for comparable tasks

Results are reported by the project owner. Actual time varies with image volume, complexity, and review requirements; this is not a turnaround guarantee.

Explore the case
Illustrative walkthrough
From scattered files to one review queue.

AI screens against business rules. The team makes the acceptance decision.

SubmissionSample findingNext step
Creative AMatches sample rulesHuman review
Creative BMaterials incompleteHuman check
Creative CRule unclearTeam decision
FINAL DECISIONS STAY WITH PEOPLE

Rules and statuses are illustrative. Actual checks must be confirmed for each project.

E-commerce · Creator operationsReal project · Anonymous client

Less searching through chats. More attention to the content.

A business platform organizes Xiaohongshu creator submissions. AI handles an initial rule-based screen; the team makes the final decision.

About 70%Reduction in repetitive work in this project

The project owner reports about 70% less repetitive work. The measurement period and methodology are pending clarification. This does not describe headcount, total cost, or results for other clients.

Explore the case
03 / TWO WAYS TO GET THERE

Different workflows. Different starting points.

AFor an established, well-defined workflow

An AI assistant for a defined task

Identify the repeatable steps, then combine AI, rules, and tools so people can request work and receive usable results.

For example: batch image edits or document organization
Explore the case
BFor fragmented information and manual coordination

A business system with AI built in

Organize materials, statuses, and handoffs into a workflow, then add AI where it helps. People retain final judgment.

For example: a creator submission and review platform
Explore the case
04 / WHAT COULD CHANGE NEXT

Beyond one team. Beyond one possibility.

Sales, knowledge, procurement, production, finance and people operations. Explore how AI and software could work together around your business.

01

Product data assistant

Turn scattered supplier materials into reviewable listing drafts.

Illustrative opportunity
02

Reporting assistant

Consolidate channel data into reports with traceable sources.

Illustrative opportunity
03

After-sales assistant

Bring orders, conversations, and images together for review.

Illustrative opportunity
04

Reconciliation assistant

Surface differences so finance can focus on verification.

Illustrative opportunity
05

Recruiting operations assistant

Organize materials and follow-ups, leaving time for people.

Illustrative opportunity
06

Sales follow-up

Turn scattered customer context into clear next steps.

Illustrative opportunity
Explore more scenarios
05 / BUILT WITH YOUR TEAM

Understand the work. Then make AI work for it.

  1. 01

    Understand the work

    Observe the work with its users and map the materials, tools, rules, and bottlenecks.

    What comes backA workflow and problem map
  2. 02

    Choose a starting point

    Compare frequency, time spent, rule clarity, and exceptions to choose a worthwhile pilot.

    What comes backPilot scope and acceptance criteria
  3. 03

    Validate with real samples

    Build a working prototype, compare outputs with human work, and identify what still needs review.

    What comes backA prototype, outputs, and discrepancy log
  4. 04

    Integrate into daily work

    Connect existing tools or build the required platform, defining access and handoffs.

    What comes backA usable workflow and operating guidance
  5. 05

    Review and improve

    Review exceptions, review time, and output quality before optimizing or expanding.

    What comes backAn outcome review and iteration plan
Scope, timing, deployment, and fees are agreed after understanding your requirements.Our approach
06 / UNDERSTAND. BUILD. DELIVER.

Business understanding. Engineering to make it real.

Capabilities
01

Understand the business

Start with users and real samples to map processes, rules, inputs, and outputs.

02

Build the system

Connect existing systems and fill workflow gaps so materials, statuses, and handoffs have a home.

03

Put AI to work

Combine task understanding, specialist skills, and tools to produce work people can review.

LET’S START WITH YOUR WORK

What does your team keep doing over and over?

Tell us who does the work, how it happens, and what takes the most time. You do not need to know AI to start the conversation.

Let’s talk