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.
In October 2026 the enterprise AI-coding contest shifted from picking the strongest model to owning the token bill. Gartner expects AI coding costs to pass the average developer salary by 2028, and Splunk's survey of 2,050 IT operations staff found 55% cannot control AI costs at all.
Between October 20 and 23, 2026 the open-source battleground moved down a layer: DeepSeek open-sourced its production inference framework DeepInfer and published its first inference deployment ledger (155 trillion tokens per cluster per day, $38 per GPU-hour), MiniMax open-sourced M3.1 Flash weights (428B total / 23B active, 100+ trillion tokens in 72 hours), and OpenRouter data showed Chinese models at 79.18 trillion tokens per week for a 25th straight global first.
From Oct 19-25, 2026, OpenClaw's first Focus Week put the Control UI under maintainer Vyctor Brzezowski and opened a shared Team environment to the first rotating Clawtributors. Meanwhile the 501(c)(3) foundation stewards 4.5M new claws a week and 3,324+ community contributors, and Ningbo Haishu has trained 90+ firms while OpenClaw CN recruits its first 100 core contributors.
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