Enterprise MLOps Engineering

Industrialize Your AI: From Lab Experiment to
Revenue Engine

Move beyond fragile Proofs-of-Concept. We build robust, scalable Machine Learning infrastructure that bridges the "Training-Serving" gap and drives measurable ROI.

MLOps Pipelines
Feature Store Managed

Need Model Optimization?

Let's talk MLOps.

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The Era of "Experimenting" is Over.
The Era of "Hybrid Intelligence" is Here.

The market has shifted. Organizations treating AI as a peripheral experiment are falling behind. "AI Achievers" are currently seeing 50% faster revenue growth than their peers. At Prism Infoways, we don't just write algorithms; we engineer the "Route to Live." We solve the critical challenges of MLOps maturity, data governance, and legacy integration to transform raw data into a competitive asset. Stop experimenting. Start industrializing.

Our Capabilities

The Six Pillars of ML Engineering

End-to-End MLOps

Architecting CI/CD pipelines for ML. We solve "Training-Serving Skew" with robust feature stores and automated orchestration (Kubeflow/MLflow).

Generative AI & RAG

Deploy "Trustworthy AI." We build Retrieval-Augmented Generation (RAG) systems that ground LLMs in your proprietary data, eliminating hallucinations.

Agentic Workflow Systems

Beyond chatbots. We engineer autonomous AI Agents capable of executing complex supply chain, logistics, and IT healing tasks.

Computer Vision Solutions

Automated quality control and loss prevention. From retail checkout analysis to industrial defect detection using Edge AI.

Intelligent Document Processing

Automate the boring stuff. Extract data from invoices, contracts, and claims with high-precision models, reducing manual effort by up to 90%.

Legacy Data Modernization

Break the silos. We integrate fragmented ERP and CRM data into unified "Lakehouse" architectures ready for high-fidelity modeling.

Impact Analysis

Why We
Exist.

We don't just deliver code; we deliver definitive business outcomes. Every line of code is measured against revenue impact.

482%

ROI Velocity

Achieve a payback period of <4 months. Unified data platforms drive up to 482% ROI over three years by consolidating fragmented tools.

35-50%

Operational Speed

Slash clinical reporting and data processing times by 35-50%. Accelerate decision-making with real-time inference.

40%

Risk Immunization

Reduce fraud false positives by 40%. Our governance-first approach ensures your models remain compliant, fair, and transparent.

Future-Proofing

Built for the "Age of With." Our systems are designed to scale from simple analytics to complex, multi-agent autonomous workflows.

THE "LAB TO LIVE" METHODOLOGY

A proven four-phase approach to transform AI experiments into production-ready revenue engines.

DISCOVERY & AUDIT (The Reality Check)

We assess data readiness and identify high-value use cases. We kill unviable ideas early ("Fail Fast") and roadmap the winners.

THE LAUNCHPAD (Evidence-Based POC)

Rapid prototyping using our "AI Launchpad." We validate hypotheses and establish baseline metrics without touching production code.

INDUSTRIALIZATION (The Build)

Engineering the MLOps pipeline. We containerize models (Docker/K8s), establish Feature Stores, and ensure code parity between training and serving.

CONTINUOUS TRAINING (Scale & Sustain)

Day 2 Operations. We implement automated retraining triggers to combat "Data Drift" and "Concept Drift," ensuring long-term model health.

Tailored Engineering for Your Scale

For Startups & SMEs

Speed & Talent Augmentation

Need a Computer Vision expert or a GenAI MVP yesterday? We act as your elite engineering arm, deploying "Top 3%" talent to build flexible, high-impact solutions without the overhead.

For Enterprise

Governance & Integration

Navigating legacy systems and regulatory compliance? We specialize in "Rewiring" large organizations, integrating AI into existing workflows with strict governance and security guardrails.

System Architecture

Engineering
Specifications.

01

Cloud & Infra

AWSGoogle CloudAzureDockerKubernetes
CapabilityScalable Deployment
02

MLOps & Data

DatabricksMLflowKubeflowTensorFlow Extended
CapabilityModel Governance
03

GenAI & Compute

NVIDIA NIMOpenAIHugging FacePyTorch
CapabilityAI Acceleration
04

Data Storage

SnowflakeDelta LakeApache SparkRedis
CapabilityFeature Store

FAQs - ML Model Solutions

We utilize RAG (Retrieval-Augmented Generation) architectures and "Guardrails" technology. This ensures the AI only references your verified proprietary data and cites its sources, rather than inventing facts.
This occurs when a model works in the lab but fails in production due to data inconsistencies. We solve this by implementing a centralized Feature Store, ensuring the exact same data logic is used for both training and real-time inference.
Yes. We specialize in Hybrid and Edge AI deployments. We can process data locally to ensure security and low latency, or build secure pipelines to modernize your data into a cloud Lakehouse.
While full enterprise transformation takes time, our "Launchpad" approach targets a prototype in weeks. Mature implementations typically see a breakeven point in under 4 months due to immediate efficiency gains.
Absolutely. AI is not "set and forget." We offer Continuous Training services to monitor for Model Drift and retrain systems automatically as market conditions change.

Ready to Industrialize Your AI?

Stop experimenting. Start delivering. Let Prism Infoways build your ML infrastructure.