Enterprise AI · Custom AI Agent studio

Make AI create
exponential value for your business

We are an AI engineering team founded in Hangzhou in 2018, building AI Agents that actually do the work — from LLM Wiki and customer service to complex business workflows — so large models run, save and earn inside your business.

40+
Enterprise deployments
12×
Average efficiency gain
99.9%
Private-deployment uptime
14 days
MVP delivery
Trusted by companies across these industries
Retail & e-commerce
Manufacturing
Fintech
Legal & compliance
Education / SaaS
Multi-location services
SERVICES · What we do

From PoC to scale,
end-to-end enterprise AI engineering

We do not resell models, and we do not do slide-deck consulting. We take a real business problem, rewrite it with AI, and own the outcome.

Custom AI Agent development

Autonomous Agents tailored to your workflows — they reason, call tools, and correct themselves.

  • Multi-step planning / tool use / self-reflection
  • Long- and short-term memory and context engineering
  • Multi-agent collaboration for complex scenarios

LLM Wiki · living knowledge base

Move beyond stale RAG. Let the model actively maintain a company wiki that grows on its own, instead of retrieving fragments on every query.

  • Raw sources → wiki pages auto-synthesized and cross-referenced
  • Conflicts and duplicates detected, continuously linted
  • Queries hit synthesized pages — faster, more consistent answers

AI customer service agent

A human-like AI rep with memory and product knowledge — online 24/7, and able to upsell proactively.

  • Omnichannel: web chat, WhatsApp, Slack, Teams, e-commerce platforms
  • Long-term memory recognizes returning customers
  • Smart fallback before human handoff to cut complaints

Workflow automation

Hand reporting, approvals, contracts, recruiting and data cleanup to AI, so people can do higher-value work.

  • Native integration with Slack, Microsoft Teams, Google Workspace
  • Hybrid RPA + LLM orchestration
  • Observable, reversible, auditable

Private LLM deployment

A data-stays-in-house, compliant deployment that runs on your own hardware or private cloud.

  • Full-stack support for Qwen / DeepSeek / GLM / Llama / Mistral
  • Runs on your own NVIDIA / AMD GPUs (and domestic accelerators)
  • Fine-tuning and distillation — up to 80% cost reduction

AI strategy consulting

If you do not yet know where AI can help you, this is where we come in.

  • Use-case scanning and value ranking
  • ROI modeling and a delivery roadmap
  • Org and talent recommendations
CASE STUDIES · What we have built

Battle-tested:
this is AI we have shipped

Every case runs in a real production environment. Here are some of the most representative.

Autonomous execution · Moss

Moss · the enterprise AI employee that does the work itself

Moss is our enterprise-grade autonomous AI Agent platform. Give it a goal — "do the Q3 competitor analysis", "triage and reply to these 200 emails", "run a company-wide database performance review" — and it breaks the task down, calls tools, produces the result, and reflects and self-corrects along the way. It runs tens of thousands of tasks a day across multiple companies.

98.6%Task success rate
3.2×Output per employee
$950K+Annual labor savings
Moss AI employee autonomous task execution
Memory-driven support · Agent Duoduo

Agent Duoduo · AI customer service that remembers and feels human

The biggest problem with traditional support bots is that every visit feels like the first. Agent Duoduo has a long-term memory system: it remembers what each customer asked before, bought before, and prefers. Combined with multi-turn reasoning, it is nearly indistinguishable from your best human rep — except it is online 24/7 and never quits.

96.2%Customer satisfaction
↓ 72%Human handoff rate
0.8sAvg. first response
Agent Duoduo AI support conversation and memory graph
OPENCLAW · Enterprise Edition

OpenClaw Enterprise · run the hottest open-source Agent safely inside your network

OpenClaw is a phenomenon in the 2026 open-source community — an autonomous AI assistant with 330K+ GitHub stars. Banfang provides private deployment, an enterprise permission gateway and industry skill extensions for mid- and large-size companies, so OpenClaw can do real work inside the firewall — not just be a developer toy.

100+Native skills
60+Banfang enterprise skill packs
↑ 12×Self-service tasks completed
OpenClaw Enterprise AI assistant capability matrix
HERMES · Enterprise memory hub

Hermes Memory Hub · AI that gets smarter the more you use it

Hermes is an open-source self-evolving AI Agent framework from Nous Research, built around persistent memory and automatic skill capture. On top of Hermes, Banfang builds an enterprise "AI memory hub": every conversation, task and document is continuously synthesized into an LLM Wiki and reusable skills, with one-click integration into Slack, Microsoft Teams and the IM tools you already use.

186Auto-generated skills
6+Native IM integrations
↓ 65%Repeat questions
Hermes Agent enterprise memory hub workflow
Retail & e-commerce · Growth Agent

A leading beauty brand · AI marketing growth Agent

The growth Agent we built analyzes omnichannel traffic in real time, auto-generates A/B copy, identifies high-value customers and reaches them at the right moment. It makes tens of thousands of micro-adjustments a day, turning manual operations into intelligent decisions.

+187%Quarterly GMV YoY
+220%Repeat-purchase rate
1/5Ops headcount needed
Retail e-commerce AI growth Agent dashboard
See all case studies →
HOW WE WORK · Our process

From a 30-minute chat to results,
in as little as 14 days

Use-case diagnosis

A 60-minute deep dive to map the parts of your business most worth reshaping with AI.

PoC validation

A demoable proof of concept in 5 to 10 working days, validating feasibility and ROI on real data.

Production delivery

Full system build, integrated with your CRM / ERP / LLM Wiki / messaging tools — usable, stable, observable.

Continuous improvement

Pay-for-performance options plus monthly iteration, so your AI employees keep getting smarter.

FAQ · Common questions

What business leaders ask us most

Our data is sensitive. Can we avoid sending it to public LLM APIs?

Yes. We deliver fully private, on-premise deployments running on your own GPUs or private cloud, supporting open models such as Qwen, DeepSeek, GLM, Llama and Mistral, so your data never leaves your environment.

We have not decided what to build yet. Can we still talk?

Absolutely — that is exactly what we are good at. The first conversation is free. In about half a day we help you map the 3 to 5 use cases most worth building, with a rough ROI estimate and a priority recommendation.

What if the AI is unreliable and breaks in production?

We use evaluation-driven development: every Agent ships with a real-world evaluation set, and it cannot go live until it passes the CI scoring gate. In production we add full monitoring, graceful degradation and human takeover, so it is genuinely production-ready.

Our budget is limited. Can we start small?

Of course. Our 14-day MVP package proves value at minimal cost first, then scales once it works. Most clients start from a single use case.

How are you different from big-tech AI teams and consulting firms?

We are smaller and more focused. Our team comes from frontier LLM companies and engineering teams — we understand both the cutting edge and how to actually get things done inside a company. We do not sell slide decks; we ship systems that run.

LET'S TALK

The AI window will not wait for you

Still deciding whether to adopt AI? Your competitors may already be earning 3× more with Agents every day. Thirty minutes with us is one of the best investments you will make this year.

📧 bd@thebanfang.com 📞 +86 187 0117 8691