Computer Vision
Detection, recognition, tracking, quality inspection, camera workflows, and edge-ready inference pipelines.

Applied ML R&D, production software, and AI platforms for teams that need working systems.
We design, train, integrate, and deploy computer vision, OCR, LLM tool-use agents, forecasting models, document intelligence, robotics and edge AI, plus the full-stack software around them.
Model work
Custom ML, CV, OCR, agents, forecasting
Product work
Dashboards, APIs, internal tools, platforms
Deployment
Cloud, edge devices, monitoring, handoff
Engagements
Scoped milestones for serious build work
Bring the workflow, dataset, product idea, or prototype. PraxisEdge turns it into a working model, deployable software, and a maintainable system.
Detection, recognition, tracking, quality inspection, camera workflows, and edge-ready inference pipelines.
Extraction systems for PDFs, scans, forms, IDs, invoices, labels, tables, and messy operational records.
Small agents that call APIs, operate internal tools, reason over data, and complete bounded business workflows.
Prediction, ranking, optimization, market signals, operational forecasts, and decision-support systems.
Sensor loops, embedded deployments, Jetson-class devices, robotics perception, and low-latency inference.
Full-stack apps, dashboards, APIs, admin surfaces, evaluations, monitoring, and production handoff.
We build the surrounding product layer: ingestion, labeling, evaluation, model serving, queues, dashboards, admin controls, deployment, and documentation.
Define the business process, data shape, success criteria, integration points, and delivery artifacts.
Run the R&D spike: data review, baseline model, prompt/tool strategy, evaluation harness, or edge feasibility.
Turn the working approach into production software: data and model pipelines, APIs, dashboards, queues, model serving, and user controls.
Ship with repos, docs, tests, monitoring hooks, deployment notes, and a clear path for iteration.
LPR is one concrete product in the portfolio, and the broader work spans vision, OCR, agents, forecasting, document intelligence, edge deployments, and productized software.
Computer vision, OCR, camera workflows, edge inference, and production product thinking.
Prediction, ranking, market signals, and decision-support systems for domain-specific workflows.
OCR, extraction, validation, review surfaces, and automation around messy business records.
Agents connected to APIs, internal tools, data sources, and bounded operational workflows.
Some clients need a model. Others need a product line. PraxisEdge can build both: the ML core, the workflow software, and the interfaces that make the system useful every day.
Model strategy, training, evaluation, and iteration.
Pipelines, queues, review workflows, and automations.
Dashboards, APIs, admin tools, and customer-facing UX.
Cloud, on-prem, edge devices, docs, and ownership handoff.
Send the project brief, dataset context, or prototype notes. PraxisEdge can scope the model path, software surface, milestones, and deployment plan. Existing customers can reach support at [email protected].