AI Engineering Services Production-Ready AI Systems
Build, deploy, and scale reliable AI systems.
AI engineering services for teams that need reliable, secure, and scalable AI systems in production — from data pipelines to model deployment and monitoring.
Trusted by innovative teams
Key Capabilities
Everything you need to build production-grade solutions
AI System Architecture
Design scalable AI architectures covering data ingestion, model serving, APIs, and application integration.
Model Development & Integration
Develop and integrate ML and LLM models into products, platforms, and internal systems.
Data Pipelines & Feature Engineering
Build reliable pipelines for data collection, preprocessing, labeling, and feature generation.
MLOps & LLMOps
Implement CI/CD for models, automated evaluation, versioning, monitoring, and rollback strategies.
AI Application Development
Embed AI capabilities into web, mobile, and backend systems — search, recommendations, copilots, automation, and analytics.
AI System Monitoring & Optimization
Track model accuracy, latency, cost, drift, and reliability in production environments.
Our Process
A predictable process built for high-quality delivery
System Understanding & Requirements
Understanding product goals, data landscape, and production constraints.
AI Architecture Design
Designing data pipelines, model architecture, and integration strategy.
Development & Integration
Building models, pipelines, APIs, and application integrations.
Monitoring & Continuous Improvement
Deploying with monitoring, evaluation, and optimization systems in place.
Technologies We Use
Production-tested tools and frameworks
Use Cases
Our services support
Intelligent Search & Recommendations
AI-powered search and recommendation systems
AI Copilots & Productivity Tools
Internal AI assistants and workflow automation
Predictive Analytics & Forecasting
Data-driven predictions and business intelligence
Document Processing & Extraction
Information extraction and document understanding
Fraud Detection & Anomaly Detection
Real-time anomaly detection and risk assessment
Conversational AI & Automation
Chatbots and conversational workflow automation
Why Choose Procedure for AI Engineering Services
Companies choose Procedure because
Companies choose Procedure because:
- Strong focus on production AI, not prototypes
- Clear separation of engineering, ops, and governance
- Experience integrating AI into existing systems
- Flexible delivery models for startups and enterprises
- Security, privacy, and compliance embedded into AI lifecycle
Outcomes from recent engagements
Testimonials
Trusted by engineering leaders
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
Why Quality Matters
Poor engineering costs you
Failed AI Projects
Prototypes that never reach production waste time and resources
Data & Privacy Risks
Unsecured AI systems expose sensitive data
Model Drift
Unmonitored models degrade performance over time
High Operating Costs
Inefficient AI systems accumulate unnecessary costs
Premium development is an investment in
Frequently Asked Questions
AI engineering focuses on building and operating AI systems in production, while consulting focuses on strategy and recommendations. We are engineering-focused.