AI That Works In Production, At Scale

Achieve end-to-end AI deployment, enterprise system integration, and production lifecycle management — so that your AI investments actually deliver.

Move from AI Pilot to Production In As Less As Two Weeks

The go-to choice for leading companies around the globe

An Overview of Corptec's Comprehensive Technology Ecosystem

Built to scale with your existing tech stack—without vendor lock-in

Cloud Platforms

AWS
Azure
GCP

LLM & Foundation Models

OpenAI
Anthropic
Mistral
Llama

Data & Pipelines

Snowflake
Databricks
DBT
Apache Spark

MLOps & Observability

MLflow
Weights & Biases
Evidently AI
Seldon

RPA & Automation

UiPath
Automation Anywhere
Power Automate

Enterprise Systems

SAP
Salesforce
Microsoft 365
ServiceNow

Comprehensive Talent Strategy

Model accuracy in staging ≠ production accuracy

We implement robust data drift detection and shadow mode testing to ensure models perform reliably on messy, real-world data before fully taking over.

Data pipeline failures at inference time

We architect resilient data integration layers using enterprise ETL standards, ensuring low-latency data availability without overwhelming legacy databases.

Shadow IT AI deployments with no governance

We establish centralised model registries, role-based access controls, and strict compliance monitoring frameworks for all deployments.

Vendor lock-in limiting future flexibility

We build modular architectures using containerised services (Docker/Kubernetes), allowing seamless swapping of underlying models as open-source alternatives advance.

No retraining plan as data drifts

Our MLOps practice includes automated monitoring pipelines that trigger retraining alerts when accuracy drops below acceptable business thresholds.

A proven four-phase deployment framework

Solution Architecture

We design the end-to-end AI system — model selection, data pipelines, integration touchpoints, and infrastructure requirements — before a single line of code is written.

Integration Engineering

We connect AI capabilities to your existing enterprise stack: ERP, CRM, data warehouses, APIs, and legacy systems — with zero disruption to ongoing operations.

Deployment & Validation

Staged rollout with rigorous A/B testing, shadow mode evaluation, and performance benchmarking against your defined business KPIs and SLAs.

MLOps & Lifecycle Management

We stand up continuous monitoring pipelines, automated retraining triggers, drift detection, and model governance protocols to keep your AI performing in production.

What we bring to every engagement

Model Deployment

Cloud-native or on-premise deployment of LLMs, classification models, forecasting systems, computer vision, and multimodal AI.

System Integration

Deep integration with SAP, Salesforce, Microsoft 365, Snowflake, Azure, AWS, and bespoke internal platforms.

Performance Monitoring

Real-time dashboards tracking model accuracy, latency, data drift, and business impact metrics against defined benchmarks.

Continuous Improvement

Automated retraining pipelines with human-in-the-loop checkpoints and version-controlled model registries.

Infrastructure Design

Scalable, cost-optimised compute infrastructure designed for your throughput requirements — from batch to real-time inference.

Security & Compliance

End-to-end data security, role-based access control, audit logging, and alignment with SOC 2, GDPR, and sector-specific regulations.

We don't just deliver — we stand behind it

Every implementation comes with defined SLAs, 90-day post-launch support, and performance benchmarks agreed upfront. If we miss the benchmark, we return to fix it at no additional cost.

Defined performance benchmarks in every SOW
90-day post-launch operational support
Dedicated implementation lead throughout engagement

Want to check out everything Corptec offers?

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