Fortune Logix

What We Offer

AI Software Consulting Services

We guide clients through strategy, development, and deployment of AI-powered software. Our end-to-end practice covers discovery, architecture, model development, integration, MLOps, and governance to ensure scalable, secure, and measurable outcomes.

AI Strategy & Roadmapping

Define AI vision, identify high-ROI use cases, and build a practical roadmap aligned with business goals and data readiness.

Custom AI Software Development

End-to-end development of AI-enabled applications tailored to your data, domain, and tech stack, including data pipelines and feature engineering.

AI Data Analytics & Insights

Advanced analytics, dashboards, and AI-driven insights that translate data into action, forecasting, anomaly detection, and decision support.

AI Solution Architecture & Integration

Design scalable architectures and integrate AI models with existing systems, ensuring reliability, security, and performance.

Model Development & MLOps Deployment

Model development, testing, CI/CD pipelines, production deployment, monitoring, and retraining to maintain performance.

AI Ethics, Privacy & Governance

Implement responsible AI practices, bias testing, privacy-by-design, and governance frameworks to protect data and maintain trust.

Frequently Asked Questions

Below are common questions about our AI consulting services, process, security, and engagement models.

What industries do you serve?

We work across finance, healthcare, retail, technology, manufacturing, and logistics, tailoring AI solutions to each industry's data, constraints, and regulatory landscape.

We start with discovery, define a value-driven roadmap, build prototypes, validate with pilots, and scale through production-ready solutions and MLOps practices.

Engagements vary by scope, from 6 weeks for pilots to 6–12 months for full-scale implementations, with iterative milestones and clear ROI tracking.

Yes. We provide managed services, model monitoring, retraining, and governance oversight to maintain performance and compliance.

We enforce data minimization, encryption, access controls, and compliant ML lifecycle practices, aligning with industry standards and regulatory requirements.