Backed by MiraclePlus (YC China)

About X-Pilot:
Accuracy-First AI Video Platform

X-Pilot is an AI knowledge visualization engine that transforms documents (PDFs, PPTs, scripts) into professional course videos without video editing skills. Unlike generative video tools that hallucinate content, X-Pilot uses code-based rendering to guarantee zero factual errors—critical for education, corporate training, and technical documentation.

2024
Founded in Shenzhen
10K+
Videos Created
0%
Hallucination Rate

The Problem We Solve

Course video creation is a knowledge → video bottleneck that blocks millions of educators from scaling their impact.

Traditional Editing: 4–6 Hours/Video

Requires Adobe Premiere, After Effects, and months of training. A 50-page document becomes weeks of manual work.

Generic AI Tools: Hallucinations

Tools like Sora, Runway generate cinematic footage but invent facts. Unusable for finance, healthcare, or technical training.

Stock Footage: Irrelevant Visuals

Platforms like InVideo, Pictory use random stock clips. A lecture on "Kubernetes architecture" gets generic server room footage.

X-Pilot's Solution: Code-Based Rendering

We transform documents into course videos in 15–20 minutes using Visual Motion Boxes—smart animation assets tied to pedagogical patterns. Every visual is deterministic, editable, and traceable to your script. Zero hallucinations. Zero technical skills required.

If/Then Logic:

  • If you need to explain a process → X-Pilot selects a step-by-step Motion Box
  • If you need to compare options → X-Pilot generates a side-by-side table
  • If you need to show hierarchy → X-Pilot renders a tree diagram

Meet the Founder

From autonomous driving perception to knowledge visualization

Heshan Bian

CEO & Founder, XPilot Inc.

Former Baidu Apollo

Senior Technical Manager (2018–2024) leading 3D perception, computer vision, and autonomous driving systems

Master's in AI/ML

Beijing University of Posts and Telecommunications (BUPT) — specializing in deep learning and knowledge graphs

Technical Expertise

Computer Vision • Deep Learning • Knowledge Graphs • EdTech • Autonomous Systems

Mission

Democratizing education through accuracy-first AI visualization

At Baidu Apollo, a 0.01% error rate in perception systems could cause accidents. We built redundant verification layers and deterministic algorithms—no black-box models where we couldn't trace failures. When I started X-Pilot, I applied the same philosophy: knowledge visualization must be traceable, editable, and zero-hallucination. That's why we use code-based rendering instead of generative AI.

— Heshan Bian, CEO & Founder

Why X-Pilot is Accuracy-First

Our technical architecture eliminates hallucinations by design—not by prompt engineering.

Code-Based Rendering

Unlike Sora or Runway (which use latent diffusion models), X-Pilot renders visuals using SVG, Canvas, and WebGL code. Every animation is parameterized and deterministic. If your script says "Step 1 → Step 2 → Step 3," the visualization shows exactly that sequence—no AI inventing "Step 2.5."

Example: Teaching "TCP 3-way handshake"? X-Pilot renders: SYN → SYN-ACK → ACK. Generic AI tools might show random network diagrams or skip the SYN-ACK step.

Structured Animation Layers

Each Visual Motion Box contains logic layers (not pixels). A "comparison" Motion Box has slots for Option A, Option B, Pros, Cons—you fill in data, X-Pilot arranges it. This separation of content from presentation ensures consistency.

  • 300+ Motion Boxes covering processes, hierarchies, comparisons, data flows
  • Editable at any layer—change text, colors, timing without re-rendering

Pedagogical Structure

X-Pilot AI follows Bloom's Taxonomy and instructional design principles. When you upload a document, our AI doesn't just "make it pretty"—it identifies learning objectives, suggests chapter breakdowns, and maps content to cognitive levels (Remember → Understand → Apply → Analyze).

Try Bloom's Taxonomy Generator →

Full Editability

X-Pilot is not a "black box" one-shot generator. After AI creates the storyboard, you enter an editor where you can swap Motion Boxes, adjust timing, refine scripts using natural language commands. If AI misunderstands, you fix it—don't regenerate from scratch.

Pro Tip: Use commands like "make this comparison side-by-side" or "add a callout box for this definition" to refine videos in seconds.

Backed by World-Class Organizations

Financial backing and strategic partnerships

MiraclePlus

YC China (Before 2020)

Lead Investor • Seed Round (2024)

China's leading startup accelerator, founded by Lu Qi (former COO of Baidu, EVP of Microsoft, Head of Y Combinator China). MiraclePlus backed X-Pilot after recognizing the transformative potential of accuracy-first knowledge visualization in education and enterprise training.

Seed Investment Strategic Guidance

Automotive Industry Guidance Committee

China Automotive Industry Association

Strategic Partner (2024)

Collaborates with X-Pilot to modernize vocational training content creation for automotive educators nationwide. Enables technical institutes to produce high-quality training videos at scale without traditional editing skills.

Vocational Education Content Creation

Our Journey

Key milestones in building the accuracy-first AI video platform

  1. 🚀 Company Founded

    XPilot Inc. was founded in Shenzhen, China (R&D HQ) and Milton, Delaware, USA (legal entity) by Heshan Bian with a vision to solve the knowledge → video bottleneck using accuracy-first AI.

  2. 💎 MiraclePlus Investment

    Secured seed funding from MiraclePlus (YC China), validating our unique approach to zero-hallucination AI video generation and Visual Motion Box technology.

  3. 🎨 Visual Motion Box Technology Launched

    Launched proprietary Visual Motion Box engine with 300+ smart animation assets, solving the "hallucination" problem of generative AI video tools through structured knowledge representation and code-based rendering.

  4. 🤝 Strategic Partnership

    Partnered with Automotive Industry Guidance Committee (China Automotive Industry Association) to modernize vocational education content creation nationwide—demonstrating X-Pilot's suitability for accuracy-critical technical training.

  5. 📈 Rapid Growth

    Serving 15,000+ creators across education, corporate training, and knowledge entrepreneurship sectors in 40+ countries. Expanding globally with new AI tools for course creation.

  6. Global Expansion & 15,000+ Creators

    Reached 15,000+ creators across 40+ countries. Launched enhanced natural language video editing, multi-language support for 160+ languages, and enterprise-grade features for corporate L&D teams.

Frequently Asked Questions

Learn more about X-Pilot's background and approach

Who founded X-Pilot and what is their background?

X-Pilot was founded in 2024 by Heshan Bian, former Senior Technical Manager at Baidu Apollo (China's leading autonomous driving division). Heshan holds a Master's degree in AI/ML from Beijing University of Posts and Telecommunications and spent 5+ years building computer vision and 3D perception systems for self-driving cars. His technical background in accuracy-critical systems directly influenced X-Pilot's zero-hallucination architecture.

How does X-Pilot ensure accuracy and prevent AI hallucinations?

X-Pilot uses code-based rendering instead of generative AI models like Sora or Runway. Every visual element is deterministic and traceable to your script. Our Visual Motion Box technology employs structured animation layers—parameterized graphics tied to instructional patterns, not random AI-generated footage. This architectural decision eliminates hallucinations entirely, making X-Pilot suitable for accuracy-critical domains like finance, healthcare, and technical education.

Who backs X-Pilot financially?

X-Pilot is backed by MiraclePlus (formerly known as YC China before 2020), China's leading startup accelerator founded by Lu Qi (former COO of Baidu, EVP of Microsoft). MiraclePlus invested in X-Pilot's seed round in 2024 after recognizing the transformative potential of accuracy-first knowledge visualization in education and enterprise training.

What problem does X-Pilot solve?

X-Pilot solves the 'knowledge → video' bottleneck. Traditional video editing requires 4–6 hours per 10-minute course video and demands technical skills. Generic AI tools (InVideo, Pictory) hallucinate content or use irrelevant stock footage. X-Pilot transforms PDFs, PPTs, and scripts into structured course videos in 15–20 minutes with zero factual errors.

Where is X-Pilot located?

X-Pilot (XPilot Inc.) operates offices in Shenzhen, China (R&D headquarters) and Milton, Delaware, USA (legal entity). The dual-location structure enables us to serve both Asian and Western markets while maintaining compliance with international data regulations.

Why is X-Pilot called an 'accuracy-first' platform?

Accuracy-first means we prioritize information fidelity over visual realism. Unlike generative video tools that create cinematic footage with potential factual errors, X-Pilot preserves the exact logical relationships from your source material.

Our founder's experience at Baidu Apollo—where a 0.01% error rate in perception systems could cause accidents—shaped this philosophy. If you're teaching finance, medical procedures, or legal concepts, accuracy is non-negotiable. X-Pilot's code-based rendering guarantees zero hallucinations.

Get in Touch

Contact X-Pilot

Questions about our technology, partnerships, or investment opportunities? We'd love to hear from you.

Email Support

[email protected]

Technical support, inquiries, partnerships

Headquarters

Shenzhen, Guangdong, China

Innovation hub • R&D center

Legal Information

XPilot Inc.

Dual-Entity Structure: China (R&D) • USA (Legal)

China Office

Room 205, Building 22, Zhiheng Industry Park
Nanshan, Shenzhen, Guangdong, China

US Office

125 Broadkill Rd Ste 122
Milton, DE 19968, USA
Zero Editing Skills Required

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in 15 Minutes

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1 free video • Zero hallucinations guaranteed

Interested in joining the team? View open positions at X-Pilot