Boao Intelligent works with teams that already have a real workflow problem to solve. We help move from diagnosis and PoC validation to integration, local compute delivery, and go-global service support.
digital workforce running continuously
AI R&D team collaborating in practice
target response time for solution inquiries
enterprise delivery, compute, and go-global services
Who We Fit
If your team can already describe where time is being lost, where quality is unstable, or where workflows are hard to scale, the starting point is usually strong enough.
The best fit is usually a team that can already explain what is slow, repetitive, error-prone, or difficult to scale.
A strong fit for companies with clear data boundaries, local compute requirements, or tighter governance around internal AI usage.
Useful for teams that need their English site, solution pages, FAQs, and narrative to explain the business clearly and capture demand.
Core Tracks
Not every client needs the same path. We first decide whether the highest-priority issue is business workflow delivery, local compute infrastructure, or go-global delivery and growth support.
Enterprise Delivery
From service workflows and knowledge systems to document review and internal collaboration, we connect AI to operating work.
Private Compute
A practical procurement path for local inference, model experimentation, knowledge systems, and private AI delivery.
Go Global Services
We help teams decide where to start, then align the English site, solution narrative, and lead path around that market direction.
Proof
AI is already supporting real content, information handling, and project collaboration instead of sitting in a lab-only workflow.
From requirement analysis to testing, agent collaboration has moved deeper into the software engineering process.
Users, search engines, and AI systems can more easily understand who we are, what we do, and why the positioning is credible.
Latest News
Recent announcements, product progress, and field activity help visitors judge whether our work is active, specific, and traceable.
OpenClaw released 7 updates in the final week of August 2026 (8/25-8/31): v2026.9.1-beta.1 monthly train (8/28) with Gateway restart recovery + retained turns; v2026.8.1 stable (8/30) with five enterprise capabilities (atomic model switching + plugin permission declaration + lifecycle monitoring + SQLite snapshot backup + secret egress protection); v2026.8.1-beta.3 GPT-5.6 full range (8/24); PR #131966 Gateway active turns protection (8/29); PR #131803 OpenAI model catalog persistence (8/28); Tencent HunYuan Hy3 Apache 2.0 onboarding (8/28); Pi Network SoloHost onboarding (8/29); GitHub Stars 388K (8/30); SDK migration deadline September 1.
The 2026 China International Big Data Industry Expo opens 8/28-30 in Guiyang under the theme Token — A New Path for Data Element Value Release. National Data Bureau Director Liu Liehong disclosed 126K+ high-quality datasets, 1,815+ PB total data volume (+89% vs 2026-03), 372 exhibitors, and token economy plus computing base plus data supply plus model-driven plus security plus intelligent experience six-chain launch.
On August 28, 2026, the open-source LLM rule book splits into a 'downloadable vs launched' duality: Zhipu GLM-5.3 weights missed its own 8/28 commitment after the 'most extensive risk review to date' — finding 2,436 vulnerabilities (1,097 critical) and an emergent ExploitBench 24.4% → 54.4% jump in multi-step exploit-chain reasoning; meanwhile Ox Alpha was revealed as GLM-5.3-Flash 320B-A18B under MIT license, served entirely on 100,000 Chinese AI chips (Ascend / Hygon / Moore Threads), priced at 1/40 of Claude Opus 4.8. Alibaba released Qwen3.8-Flash-Next on 8/26 as a Qwen4 architecture preview — 125B total / 6B active MoE, training cost down to 1/9, API at ¥1 input / ¥3 output per million tokens. Hugging Face OpenRouter shows Chinese-model token share crossing 60%, surpassing the US share at <40% (from <20% at end-2025). OpenAI led 100+ companies (Anthropic, Google, Microsoft, CrowdStrike, Hugging Face) in a 'Cyber Defense Collective Action' open letter. Anthropic released Model Hardware Standard (MHS) — 'hardware MCP' — letting AI agents safely control laboratory robotic arms, microscopes, and quantum laser systems (QuEra calibration stability jumped 58% → 99.3%). Four frontier labs (OpenAI Cyber, Anthropic Mythos, Alibaba Qwen 3.8-Max, Z.ai GLM-5.3) are collectively tightening cyber-capable model release cadences — 'launched ≠ downloadable' becomes the 2026 H2 binary sovereignty divide.
Call To Action
Bring the most blocked workflow, deployment concern, or website conversion problem. We can help judge priority, scope, and the most sensible first move before the team spreads effort too widely.
Bring the current business bottleneck and we can help judge the most sensible first scenario.
Email the teamIf you are already in evaluation or procurement mode, we can talk through deployment boundaries and budget shape directly.
Call +86-19829871163For a faster first touch around scenario fit, demos, or rollout direction, the live consultation channel stays available.
Open consultation