Your Partner in Leading the Future with AI

Fleekbiz designs modular, scalable AI solutions starting from agile proofs-of-concept, leveraging robust platforms like Kubeflow and Feast. Solutions transition smoothly to production through Kubernetes-driven CI/CD and MLflow-based model tracking. Continuous performance monitoring ensures scalability, agility, and efficiency, reducing overall deployment timelines and operational risks significantly.

Fleekbiz utilizes a cloud-agnostic, infrastructure-as-code (IaC) approach, employing Terraform for seamless workload portability between AWS, Azure, and GCP. With containerized workloads supporting multiple architectures, automated security guardrails, and zero-downtime transitions, clients experience enhanced agility, minimized vendor lock-in, and significant cost reductions of 20–30%.

Fleekbiz integrates strict compliance controls into AI workflows, employing frameworks like OpenMetadata for robust data governance and Great Expectations for data-quality validation. Advanced privacy-preserving techniques (differential privacy, federated learning) ensure sensitive data remains secure, while automated policy checks maintain GDPR, HIPAA, and SOC 2 compliance throughout AI development.

Fleekbiz defines clear baseline KPIs at project inception, tracking progress via Objective Key Results (OKRs) aligned to business goals. AI impact is evaluated through leading indicators (model accuracy, adoption rates) and lagging indicators (revenue uplift, cost reductions). Transparent reporting and automated dashboards consistently demonstrate substantial ROI within 6–12 months.

Fleekbiz offers flexible engagement options including dedicated innovation pods, outcome-based retainers tied to performance, and comprehensive managed MLOps services. Strict SLAs guarantee system uptime and rapid issue resolution, alongside regular model retraining and drift monitoring, ensuring sustained innovation, reliability, and continuous value for your AI investments.