Computer Vision · Local AI Build
Computer Vision Solutions
Give your business the power of sight with AI that analyzes images and video for actionable insights.
- open-weight
- you own the weights
- self-hostable
- SFT + LoRA
- Open
- Open-weight families
- Access the leading open-weight models from the Qwen, Kimi, and GLM families, fine-tuned on your data.
- ~30
- Days to first fine-tune
- From your data to a model running in production, then improved from real usage.
- Yours
- Weights + pipeline
- You own the trained weights, adapters, and the retraining pipeline. Self-hostable.
Industries · live demo
Computer vision for every industry
See it working on real scenes — counting stock, checking quality, reading signage, watching for safety. Pick the sector closest to your business.
Live pipeline
What Computer Vision Solutions sees, frame by frame
- 01Raw frameA standard camera feed. No labels, no structure — just pixels.
- 02DetectionThe model localizes every object and scores its confidence.
- 03SegmentationRegions are classified — product, person, hazard, background.
- 04DecisionPixels become structured data your team can act on.
structured_output.json
- customers_in_frame
- 3
- avg_dwell_time
- 4.2 min
- stockouts_detected
- 2
- planogram_match
- 96%
- queue_length
- 0
02 / The catalog
Open-weight models, fine-tuned and yours
One place for the models worth building on. Access the leading open-weight families, tune them to your data, and keep the weights.
- Qwen3.7-7B-InstructLanguageFast, low-cost base for chat, extraction, and classification.
- Qwen3.7-32B-InstructLanguageBalanced accuracy and cost for most production fine-tunes.
- Qwen3.7-72B-InstructLanguageFrontier accuracy for the hardest reasoning tasks.
- Qwen3.7-VL-7BVisionReads images, scans, and document layouts.
- Qwen3.7-VL-32BVisionHigher-fidelity visual understanding for inspection and OCR.
- KimiLanguageVery long context for whole-document and full-history reasoning.
- GLMLanguageStrong bilingual performance and tool use.
- GLM-VVisionVision-language model for multimodal workflows.
03 / Fine-tune
Configure a model, then watch it train
Pick the shape of the build and run an illustrative fine-tune. When it fits, book a build for that exact spec.
Spec the model, then watch it train.
Set the shape of the build and run an illustrative fine-tune right here: the loss falls, the eval climbs, and the log streams. Every number is an estimate, not a promise.
Compute band: ~1 to 2 GPU-h. Illustrative: params x examples x 3 epochs.
base_model: Qwen3.7-7B-Instruct
adapter: lora
lora_r: 16
lora_alpha: 32
lora_dropout: 0.05
sequence_len: 8192
micro_batch_size: 2
gradient_accumulation_steps: 4
num_epochs: 3
learning_rate: 0.0002
optimizer: adamw_bnb_8bit
datasets:
- path: ./data/your-dataset.jsonl
type: chat_template
val_set_size: 0.05Base: Qwen3.7-7B-Instruct. Open-weight, trained on your data, owned by you.
04 / What it changes
What the build is designed to do
- 01Automate visual inspection tasks with superhuman speed and consistency
- 02Monitor premises and operations in real-time with intelligent video analysis
- 03Reduce quality control costs while improving defect detection rates
- 04Gain customer behavior insights through anonymous foot traffic analysis
- 05Digitize and organize visual data that was previously unstructured
- 06Enhance security with intelligent surveillance and anomaly detection
05 / Goes further with
Build a larger AI system
Most strong rollouts combine a few services. These pair naturally with Computer Vision Solutions.
- Voice AI & Phone SystemsTransform your phone system with AI that handles calls, takes messages, and assists customers naturally.
- AI Inventory ManagementOptimize stock levels, predict demand, and eliminate waste with intelligent inventory automation.
- AI-Powered Accounting & BookkeepingAutomate financial record-keeping, categorization, and reporting with AI that learns your business.
- Custom AI Software DevelopmentPurpose-built AI applications designed specifically for your unique business challenges and workflows.
- AI Data Entry AutomationEliminate manual data entry with AI that reads, understands, and inputs data across your systems automatically.
- AI Appointment SchedulingSmart scheduling that optimizes calendars, reduces no-shows, and lets customers book effortlessly.
07 / Proof
Computer Vision Solutions in the real world
Real builds where this service did the work. See the setup, the rollout, and the results.
08 / FAQs
Computer Vision Solutions questions
Do I need special cameras or equipment for computer vision?
In many cases, your existing camera infrastructure is sufficient. Standard IP security cameras, webcams, and even smartphone cameras can serve as input sources for many computer vision applications. For specialized applications like detailed quality inspection or wide-area monitoring, we may recommend specific camera models optimized for the task. We assess your current setup during consultation and recommend only the equipment upgrades that are truly necessary.
How does computer vision handle privacy concerns?
Privacy is a critical consideration in all our computer vision deployments. For customer analytics, we use anonymized analysis that tracks movement patterns and demographics without identifying individuals, no facial recognition data is stored. For employee-facing applications, we work with you to ensure compliance with workplace monitoring laws and best practices. All deployments include clear signage, data retention policies, and access controls aligned with privacy regulations.
How accurate is AI visual inspection compared to human inspectors?
AI visual inspection typically achieves 95-99% accuracy for trained defect types, compared to 80-90% for human inspectors who suffer from fatigue, distraction, and inconsistency over time. The AI also operates at much higher speeds, inspecting hundreds of items per minute compared to human rates of dozens per minute. The combination of higher accuracy and higher throughput means AI visual inspection delivers dramatically better quality control at lower cost.
Can computer vision work in real-time?
Yes. Modern computer vision models are highly optimized for real-time processing. Depending on the complexity of the analysis, our solutions can process video feeds at 15-60 frames per second, meaning analysis happens faster than the human eye can follow. For applications like quality inspection on production lines or security monitoring, real-time processing is standard. Some complex analyses may run on slight delays of seconds rather than milliseconds, but this is still fast enough for virtually all business applications.
Turn Computer Vision Solutions into something your team actually uses.
Name the work you want this to handle. We will map the build, show what is worth doing first, and what it costs. If there is no fit, we will say so.