Impact
¥5M+
Annual algo team cost
BS-AI Solution
Zero Algo Team, Plug & Play
BS-AI standardizes perception, planning, and interaction into APIs/SDKs — integrate and go


BS-AI is BigSight CloudTrace's three-end integrated robot AI service platform spanning device, cloud, and APP. It delivers standardized, configurable, and scalable AI capabilities for lawnmowers, patrol bots, cleaners, delivery robots, and more — giving every robot a brain that thinks.

We don't just build software — we accelerate your robot's commercialization. BS-AI productizes high-barrier AI capabilities like visual perception, path planning, human-robot interaction, and intelligent Q&A.
Through SaaS subscription, you can equip your robots with "see, hear, and think" intelligence — without building an algorithm team from scratch.
Click a pain point on the left to see how BS-AI solves it
Impact
¥5M+
Annual algo team cost
BS-AI Solution
BS-AI standardizes perception, planning, and interaction into APIs/SDKs — integrate and go
Pain 01
Annual algo team cost
Visual perception, path planning, HRI… each needs PhD-level algorithm teams
One algo team = ¥5M+/year, with 90% spent on repetitive groundwork
BS-AI standardizes perception, planning, and interaction into APIs/SDKs — integrate and go
You have the technical capability — you just shouldn't waste time reinventing the wheel.
Not a feature list — these are your competitive moats.
Perception, planning, interaction, Q&A, knowledge base, model management — all in one suite
7 modules, 100% proprietary100ms real-time response on-device, infinite cloud compute for complex inference
Edge ≤100ms / Cloud ≤500ms TTFBVisual training pipeline + canary release + data feedback loop: algo iteration shifts from months to hours
100× faster model iterationBuilt-in CN/EN/TW; Q&A and interaction auto-detect language and respond natively
Phase 1: 3 languages, expandingSubscribe by module or scenario pack, or deploy fully on-premise — pay only for what you need
SaaS from ¥X0,000/yearFour pre-built scenario templates (mowing, patrol, cleaning, delivery) activate within 7 days of subscription
New scenario adaptation < 4 hrsNot a feature list — these are your competitive moats.
Perception, planning, interaction, Q&A, knowledge base, model management — all in one suite
100ms real-time response on-device, infinite cloud compute for complex inference
Visual training pipeline + canary release + data feedback loop: algo iteration shifts from months to hours
Built-in CN/EN/TW; Q&A and interaction auto-detect language and respond natively
Subscribe by module or scenario pack, or deploy fully on-premise — pay only for what you need
Four pre-built scenario templates (mowing, patrol, cleaning, delivery) activate within 7 days of subscription
Hover or click the loop nodes to see how BS-AI connects edge reaction, cloud reasoning, world-model memory, and VLA action execution into a deployable architecture.
Robot-side Cerebellum
Lightweight models run on the robot for perception, avoidance, local routing, and motion control, keeping millisecond-critical actions on-site.
Edge Detection Latency
End-to-end, Jetson/RK3588
Local Path Replanning
Triggered by obstacle in safety corridor
Cloud Q&A First Token
TTFB, LLM inference
Model Push Speed
Breakpoint resume & delta updates
An integrated architecture of edge reaction, cloud reasoning, world-model memory, and VLA action execution
Lightweight models run on the robot for perception, avoidance, local routing, and motion control, keeping millisecond-critical actions on-site.
Perception, planning, interaction, Q&A, knowledge base, model management, and scenario AI — covering the full robot intelligence chain.

By fusing visual (RGB/depth) and LiDAR data, BS-AI gives robots true environmental understanding. It doesn't just "see obstacles" — it knows "that's a flower bed, detour 1 meter" or "that's lawn, start mowing." 2D/3D visual maps put end-users on-site and give operators global remote control.

Following leading AI platform pages: use scenarios to explain model capability and metrics to prove value.
For mowing, cleaning, and inspection, provide coverage planning, dynamic obstacle avoidance, anomaly detection, and route optimization.
Let users dispatch tasks, ask questions, explain faults, and self-serve support through voice or text.
Turn manuals, SOPs, maintenance experience, and industry data into private knowledge and model capabilities.
Following leading AI platform pages: use scenarios to explain model capability and metrics to prove value.

For mowing, cleaning, and inspection, provide coverage planning, dynamic obstacle avoidance, anomaly detection, and route optimization.

Let users dispatch tasks, ask questions, explain faults, and self-serve support through voice or text.

Turn manuals, SOPs, maintenance experience, and industry data into private knowledge and model capabilities.
Not just concepts: brain synergy, world models, VLA, RAG, and data flywheels are packaged into subscribable, integrable, reviewable scenario capabilities.
For parks, golf courses, and property lawns, packages coverage planning, no-go recognition, fleet coordination, and quality replay into a subscribable capability.
For home yards, strengthens boundary recognition, child/pet avoidance, voice tasks, and app guidance so users configure less and learn less.
For park, power, fire, and property inspection, combines target recognition, anomaly recheck, RAG Q&A, and report generation.
For offices, parks, and public-space cleaning, recognizes surface materials, stain levels, edge rework, and no-go strategies.
For buildings, hotels, and hospitals, combines order semantics, elevator/gate status, crowd density, and natural-language confirmation.
For golf bag carts, combines fairway semantic maps, player/bag following, safe parking, and voice summon.
Mowing Coverage
NLU Accuracy
Support Queries Replaced
Faster Model Iteration
Mowing coverage reaches 98% or higher
Natural language understanding accuracy reaches 95% or higher
AI Q&A assistant replaces 70%+ common support inquiries
Visual training pipeline shifts algorithm iteration from months to hours
Join leading robot companies using BS-AI to shorten time-to-market by 10 months and cut R&D costs by 70%+
Some interface images above are system mockups, not actual screenshots. The actual system UI is as demonstrated by our sales team.