Do you work with legacy systems?

Yes. We have integrated AI with SAP R/3, Oracle ERP, proprietary platforms, and custom APIs that are 20+ years old.

What is the typical timeline?

8 to 14 weeks from assessment to production. Breakdown: Assessment (1-2 weeks), Planning (1-2 weeks), Pilot (3-5 weeks), Deployment (2-4 weeks).

Can our data stay on-premise?

Absolutely. We support on-premise, VPC, or hybrid deployments. For HIPAA and GDPR requirements, we deploy LLMs on your infrastructure with no external API calls.

Projects typically range from $25,000 to $120,000, depending on scale and compliance requirements.

How do you handle messy enterprise data?

We perform a data readiness assessment before any development. We audit quality, build pipelines, and add semantic layers so AI can understand your Salesforce, SAP, and legacy data.

Do you provide ongoing support after deployment?

Yes. We offer monitoring, model retraining, compliance audits, and scaling support.

NovumLogic featured on Mobile App Daily, Top AI Consulting Company 2025 India

Vision Models Developed

Computer vision models trained and deployed for real industrial and operational use cases.

Image & Video Data Processed

We have hands-on experience working with large, complex image and video datasets

Production Deployments

Live computer vision systems running in manufacturing, healthcare, and logistics environments.

Global Client Base

Computer vision projects delivered across North America, Europe, and the Middle East.

Why Novumlogic?

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Quotation mark icon representing Novumlogic client testimonials, reviews, and trusted customer feedback.

"The computer vision system automated visual inspections and significantly reduced manual quality checks."

— Operations Director, Manufacturing Company

End-to-End Delivery

Data prep, model training, integration, and deployment our one team owns the full cycle

10+ Years Of Building

We've been doing this since before computer vision was a buzzword.

Compliance Standards Met

GDPR, CCPA, and SOC2-aligned data practices built into every computer vision project.

Model Accuracy You Can Verify

Every model ships with documented accuracy benchmarks and validation results before it goes live.

4 Reasons Enterprise AI Projects Fail

Infrastructure Gets Built After the Pilot

We design for production from day one. Your pilot runs on production-grade infrastructure with monitoring, security, and compliance already in place.

Data Issues Surface After Development Starts

We assess data quality first. Our team ensures AI can read your Salesforce, SAP, and legacy systems before any development begins thus preventing the failures that kill 60% of projects.

Compliance Reviews Block Deployment

GDPR, HIPAA, and SOC2 requirements are mapped in week one. Audit trails and access controls are architectural foundations, not last-minute additions. Result: zero compliance rejections across 15+ deployments.

Enterprise Systems Don't Connect

We audit your tech stack early and build integrations that handle SAP, Salesforce, and API complexities upfront. Our 87% pilot-to-production success rate proves the approach works.

Client Pain-Points & Outcomes

Enterprise Pain Points

We don’t know which AI use cases will pay off.

We’ve piloted tools that never made it to production.

Our stack is complex & siloed.

We need oversight & compliance.

Strategic Outcomes

AI Roadmaps prioritized by ROI & feasibility

Deployment-ready systems with MLOps built-in

Secure integration with APIs, CRMs, and cloud

Audit-friendly AI workflows with access control

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Core Services We Offer

Two C-suite executives reviewing an AI strategy roadmap with use case prioritization, ROI feasibility matrix and pilot planning laid out on a boardroom table overlooking a city skyline.

AI Strategy & Roadmapping

Prioritize use cases that will actually ship and deliver ROI.

What you get:

Use case mapping across departments

ROI x Feasibility matrix

Internal AI literacy uplift

Learn More

An enterprise employee using a secure permission-aware AI assistant with department access controls and authenticated workflow indicators visible on screen in a corporate environment.

Enterprise AI Agents

Secure, permission-aware AI assistants designed for production.

What you get:

LLM-powered workflows (internal + external)

SOC2-conscious user + access design

On-premise or VPC deployments

Learn More

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Enterprise RAG Systems

Turn your internal documents into conversational knowledge.

What you get:

Department-specific document retrieval

Role-based access + usage monitoring

Multi-LLM backend support

Learn More

A data science team reviewing an enterprise ML models monitoring dashboard showing multiple deployed models with prediction accuracy scores, latency metrics and automated retraining schedules all active and healthy.

ML & MLOps

Models built to scale and stay accurate in production

What you get:

Custom ML models

CI/CD + retraining pipelines

Enterprise-grade monitoring

Learn More

AI Strategy & Roadmapping

Prioritize use cases that will actually ship and deliver ROI.

What you get:

Use case mapping across departments

ROI x Feasibility matrix

Internal AI literacy uplift

Learn More

Enterprise AI Agents

Secure, permission-aware AI assistants designed for production.

What you get:

LLM-powered workflows (internal + external)

SOC2-conscious user + access design

On-premise or VPC deployments

Learn More

Enterprise RAG Systems

Turn your internal documents into conversational knowledge.

What you get:

Department-specific document retrieval

Role-based access + usage monitoring

Multi-LLM backend support

Learn More

ML & MLOps

Models built to scale and stay accurate in production

What you get:

Custom ML models

CI/CD + retraining pipelines

Enterprise-grade monitoring

Learn More

Not Sure Which ML Model to Use?

No worries, this guide breaks it down clearly so you can pick the right model every time.

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How We Work

Assess Your Readiness (1-2 weeks)

We evaluate data quality, audit infrastructure, map enterprise systems, and identify compliance needs.

Plan the Build (1-2 weeks)

We prioritize use cases by ROI, design your architecture (cloud or on-premise), and establish compliance frameworks.

Build Production-Grade Pilot (3-5 weeks)

We develop your prototype with production infrastructure. Security reviews, monitoring, and enterprise integrations built in from the start.

Deploy to Production (2-4 weeks)

Staged rollout with compliance sign-off, team training, and on-call support. We stay engaged with incident response and documented rollback plans.

Monitor and Scale (Ongoing)

Performance tracking, drift detection, automated retraining, and quarterly compliance checks. We support expansion as your needs grow.

Industry-Specific Solutions

Our machine learning development services are tailored to the unique demands of each sector

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Healthcare & Medical Technology

Medical image analysis

Diagnostic support systems

Radiology image classification

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Logistics & Retail

Inventory tracking using cameras

Visual warehouse monitoring

Retail analytics systems

Automated PCB assembly line with AI vision cameras and robotic arms performing quality inspection in a smart factory.

Manufacturing

Automated defect detection

Product quality inspection

Assembly line monitoring

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Security & Surveillance

Object and activity detection

Anomaly detection in video streams

Automated monitoring systems

Case Studies

Our case studies demonstrate how we've collaborated with customers to address issues and develop advanced solutions.

Edubill

EduBill is a SaaS-based comprehensive billing web application designed to streamline financial transactions and management for educational institutions and agencies.

Results

70% Faster Invoicing & Commission Management
90% Fewer Financial Data Errors
High User Satisfaction
UI & Automation

View Case Study

Composite of two admin interfaces: on the left, a web app “Enrolled Students” view listing student records (ID, school name, course, etc.) with “Delete,” “Generate excel,” “Import excel,” and “Add Enrolled Student” controls; on the right, an “Angular”-branded performance report by invoice period, summarizing invoice counts and amounts per school and status.

Reaction Group

Learn how a company specializing in Electrical, Fire, and Hazardous Area Services transformed its data collection and management with a Flutter app powered by Supabase, moving from manual processes to a seamless digital workflow.