Browse categories
Explore
Fiverr Pro
English
$
USD
Our agency will build production computer vision systems for detection and real time tracking
Senior Team, Complex Systems, 8 Years of Proof
Standard agencies build websites; we build industrial-grade systems
High-performance backends. Decision engines. AI factories. Computer vision. Real-time systems. From UI/UX-heavy MVPs to full-stack ...
Vetted by Fiverr Pro
obox systems was selected by the Fiverr Pro team for their expertise.
Vetted for
Software Development
Website Development
About this Gig
Your review team is maxed out. Cloud inference costs are exploding. Your 97% test accuracy fails in production lighting.
We build production-ready computer vision - CUDA-optimized, edge-deployable, with drift monitoring - that delivers 95%+ real-world accuracy, not just test-set performance.
What this means for your business:
- Handle 10x-100x more images on 1/10th infrastructure cost via CUDA and edge optimization
- $50K-$500K/year savings - automate review or cut cloud inference from $50K to $5K/month
- 95%+ real-world accuracy with built-in drift monitoring - no silent quality escapes
Why production CV specialists, not data scientists:
- CUDA acceleration, edge TPU optimization, containerized inference - not Jupyter notebooks
- End-to-end: data curation, training, deployment, CI/CD retraining, drift detection
- Proven: manufacturing QA (millions of images daily); <250ms per-frame across 4 simultaneous feeds
You own the model and pipeline. Containerized, documented, deployable anywhere - no vendor lock-in.
The $195 CTO Consultation audits your data and validates the approach 60-min call, no build commitment.
Clients We’ve worked with
Astral Hodling OÜ
Developed a cross-platform token mining app (Android, Windows, macOS) using Tauri and Kotlin. Optimized Android background tasks for 24/7 operation via foreground services. Integrated a Solana sub-wallet and replaced default WebView with GeckoView, boosting web content compatibility by 80%. Delivered a robust Proof of Concept.
Dec 2024-Jan 2025
Landsby
Developed a centralized Travel Content Management System using Rust and React to replace fragmented spreadsheets. Built an automated data migration pipeline and integrated Google Places and Travefy APIs for seamless itinerary synchronization. Reduced manual itinerary preparation time from 3-4 days to under 2 hours. Deployed a secure, Dockerized infrastructure with CI/CD on Hetzner Cloud.
Feb 2026
Portfolio
FAQ
What’s your approach to optimizing hardware and deployment?
We match model complexity (CNN, YOLO, ViT) to your hardware - CUDA GPUs, edge TPUs, or cloud clusters. Then we benchmark for latency, throughput, and power. Our deployment uses containerized microservices, autoscaling, and real-time monitoring for low-latency, cost-effective inference.
Will I need to manage development process day‑to‑day?
Not at all. We structure work in clear milestones - R&D, POC, model training, integration, QA - providing digestible progress updates. Our autonomous engineers handle the technical details, while a dedicated manager (or CTO on request) oversees quality and timeline adherence.
How do you ensure model quality and maintainability over time?
Each milestone includes cross‑QA, code reviews and performance validation on hold‑out sets. We deliver documented code, CI/CD pipelines for retraining, and drift-detection hooks. Ongoing support options ensure your models evolve with new data and use‑case shifts.
How do you handle privacy and security of visual data?
We enforce end‑to‑end encryption (AES‑256) for data in transit and at rest, anonymize sensitive features (faces, license plates) on demand, and comply with GDPR and other regional regulations. Models can be deployed on‑premises or in private VPCs to ensure full data sovereignty.
Do you assign project managers to keep things on track?
Yes, we assign a manager who can either communicate with you directly or work behind the scenes. For clients who prefer direct communication with the team, the manager ensures consistency while allowing you to interact directly with developers.
How do you ensure the project stays on budget and on schedule?
ML projects carry uncertainty in model accuracy. We mitigate this by defining success metrics (precision, recall, latency) during Discovery and validating against hold-out datasets at every milestone. If a model isn't converging, we flag alternatives early — not after six weeks of training.
How has your process transformed a complex project?
We built a real-time CV pipeline processing video under 250ms per frame across 4 feeds, reducing operator cognitive load by 75% and logging 10,000+ analysed frames on commodity hardware. Client confirmed our visual specialist was central to success (Gary Gergen, Owner at Tethys Ocean LLC).
Do you sign NDAs?
Yes. We sign NDAs before any technical discussion begins, on request.
Who owns the code after delivery?
You do. IP, source code, architecture docs, and deployment runbooks are fully assigned to you on completion — no vendor lock-in.
Do you work with formal contracts?
Yes. Signed contracts with fixed scope per phase. Wyoming LLC — you're contracting with a registered entity, not an individual.
