Dark AI engineering workspace with edge hardware, robotics, model dashboards, and document intelligence screens
ML R&D + software factory + product builder

PraxisEdge

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.

Computer VisionOCRLLM AgentsForecastingDocument IntelligenceEdge AIRoboticsFull-Stack

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

What we build

Models, agents, and software for workflows where off-the-shelf AI is not enough.

Bring the workflow, dataset, product idea, or prototype. PraxisEdge turns it into a working model, deployable software, and a maintainable system.

Computer Vision

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

OCR & Documents

Extraction systems for PDFs, scans, forms, IDs, invoices, labels, tables, and messy operational records.

LLM Tool Agents

Small agents that call APIs, operate internal tools, reason over data, and complete bounded business workflows.

Forecasting Models

Prediction, ranking, optimization, market signals, operational forecasts, and decision-support systems.

Robotics & Edge AI

Sensor loops, embedded deployments, Jetson-class devices, robotics perception, and low-latency inference.

AI Product Builds

Full-stack apps, dashboards, APIs, admin surfaces, evaluations, monitoring, and production handoff.

Systems, not scripts

AI products need more than a notebook and a demo screen.

We build the surrounding product layer: ingestion, labeling, evaluation, model serving, queues, dashboards, admin controls, deployment, and documentation.

Custom ML model building
Data pipelines and labeling workflows
Model evaluation and benchmarking
Computer vision and OCR systems
LLM agents connected to tools
Forecasting and predictive modeling
APIs, dashboards, and internal tools
Deployment, monitoring, and documentation
How engagements work

Clear milestones from R&D to deployed software.

01

Scope the workflow

Define the business process, data shape, success criteria, integration points, and delivery artifacts.

02

Validate the model path

Run the R&D spike: data review, baseline model, prompt/tool strategy, evaluation harness, or edge feasibility.

03

Build the system

Turn the working approach into production software: data and model pipelines, APIs, dashboards, queues, model serving, and user controls.

04

Deploy and hand off

Ship with repos, docs, tests, monitoring hooks, deployment notes, and a clear path for iteration.

Portfolio

Applied AI products and systems for real operational workflows.

LPR is one concrete product in the portfolio, and the broader work spans vision, OCR, agents, forecasting, document intelligence, edge deployments, and productized software.

Product

License plate recognition

Computer vision, OCR, camera workflows, edge inference, and production product thinking.

Predictive ML

Forecasting models

Prediction, ranking, market signals, and decision-support systems for domain-specific workflows.

Document AI

Document intelligence

OCR, extraction, validation, review surfaces, and automation around messy business records.

Workflow AI

LLM tool-use agents

Agents connected to APIs, internal tools, data sources, and bounded operational workflows.

Platform builder

From custom model to productized AI platform.

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.

R&D core

Model strategy, training, evaluation, and iteration.

Operational layer

Pipelines, queues, review workflows, and automations.

Product surface

Dashboards, APIs, admin tools, and customer-facing UX.

Deployment path

Cloud, on-prem, edge devices, docs, and ownership handoff.

Delivery stack

Practical engineering artifacts clients can keep building on.

Python
PyTorch
OpenCV
OCR
FastAPI
Next.js
Docker
Postgres
Vector search
Cloud deploys
Edge devices
Evaluation suites
Start the build

Have a model, workflow, or AI product to build?

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].