Expert Consulting

Vision AI & Drone Development

Production-grade consulting for custom model training, edge deployment, cloud integration, and full drone system development.

Consulting Packages

Comprehensive services tailored to your Vision AI and drone needs

Custom Model Training

Fine-tune YOLO26, Florence-2, or Qwen2.5-VL for your specific use cases. Domain-specific optimization for agricultural, industrial, or drone applications.

Custom architecture design
Domain-specific datasets
Hyperparameter optimization
Performance benchmarking
Starting at $2,500 • 7-14 days
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Edge Deployment

Deploy Vision AI on Jetson Orin NX or Raspberry Pi 5. Real-time optimization, power analysis, and thermal management.

YOLO26 NMS-free optimization
Hardware acceleration setup
Power efficiency analysis
Remote configuration
Starting at $1,500 • 5-10 days
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Cloud Integration

AWS Lambda deployment, Google Vertex AI setup, or real-time streaming. Hybrid edge-cloud architecture for scalability.

AWS Lambda/GCP Functions
Kinesis/Pub/Sub streaming
API endpoint development
Monitoring dashboards
Starting at $3,000 • 10-15 days
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Full Drone Integration

End-to-end drone system integration. DJI MSDK or PX4/ArduPilot with complete autonomy pipeline.

DJI MSDK V5 integration
PX4/ArduPilot flight controller
MAVLink ground station
Autonomy pipeline
Starting at $5,000 • 21-35 days
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Enterprise Consulting

CTO-as-a-Service, architecture design, team training, and ongoing support for large-scale deployments.

CTO-level architecture review
System design workshops
Team training programs
Ongoing support SLA
Custom Pricing Variable
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Frequently Asked Questions

What Vision AI models do you recommend?

We recommend Qwen2.5-VL for open-source, fine-tunable models with strong benchmarks, or Florence-2 for lightweight edge deployment. For detection, YOLO26's NMS-free architecture delivers 43% faster CPU inference critical for edge devices.

Do you support DJI MSDK integration?

Yes, we provide full DJI MSDK V5 integration for automated waypoints, precision mapping, and custom mission planning. Note: DJI has discontinued iOS third-party developer support, limiting SDK integration to Android platforms.

Can you integrate with existing systems?

Absolutely. We build layered architectures where each component (models, deployment, integration) is independent. This allows swapping hardware, modifying models, or changing deployment targets without rebuilding the entire system.

What are your hardware requirements?

For basic YOLO inference: 4-core CPU, 8GB RAM, NVIDIA GTX 1660 or CPU-only mode. For production training: 6-8+ cores, 32GB RAM, NVIDIA RTX 3080/3090 (12-24GB VRAM). For edge deployment: Jetson Orin NX, Raspberry Pi 5, or Prophesee GenX320.

Do you offer ongoing support?

Yes, we offer 30-day post-delivery support included with all packages. Extended support SLAs are available for enterprise engagements. We also provide documentation, training materials, and knowledge transfer sessions.