AI Services

Machine Learning Engineering

Design, train, and deploy production-grade models that power forecasts, recommendations, and intelligent decisions across your digital estate. Our squads turn raw data into measurable impact.

Engagement focus

  • ML platform blueprints with MLOps automation
  • Predictive, prescriptive, and reinforcement learning use cases
  • Data product squads aligned to business KPIs
Demo walkthrough

Explore our private showcase covering deployment pipelines, guardrails, and analytics. Request access and we will share a tailored session.

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60%

Cycle-time reduction

Clients report dramatic gains after automating feature pipelines and experiments.

98.5%

Model uptime

Observed across managed inference clusters with guardrails, rollback, and monitoring.

14 days

Average time to MVP

Rapid prototyping that de-risks your roadmap while validating value with stakeholders.

Model portfolio

Operational & customer intelligence

Demand forecasting, churn prevention, fraud detection, and hyper-personalised recommendations engineered for resilience.

Delivery accelerators

Reusable ML building blocks

Feature stores, evaluation harnesses, and CI/CD templates that shorten the path from idea to deployment.

  • Automated dataset versioning
  • Bias detection and explainability frameworks
  • Model catalogue and approval workflows
Change enablement

Adoption without disruption

We embed with domain SMEs, craft enablement plans, and measure outcomes with clear KPIs.

SOC 2 • GDPR • HIPAA ready

Operating model that scales with you

Platform ecosystem

Data engineering Databricks, Snowflake, BigQuery, dbt, Fivetran
Model ops SageMaker, Vertex AI, Azure ML, MLflow, Feature Store
Serving TensorFlow Serving, TorchServe, Triton, BentoML
Monitoring Evidently AI, Arize, Prometheus, custom telemetry

We align architecture decisions with your compliance posture and cloud strategy, ensuring future-ready operations.

Edge & on-device inference
Responsible AI guardrails
Data contracts & SLAs
Nexora Lab

Interactive sandboxes accelerate adoption

Spin up governed lab environments where product owners, analysts, and engineers can test-drive models with synthetic or masked data—no devops lift required.

Guided experimentation

Launch secure playgrounds with curated datasets, scenario scripts, and guardrails ready to go.

Observability baked in

Monitor runs in real time with lineage, drift detection, and automatic clean up routines.

Accelerated hand-off

Export approved experiments straight into production pipelines with one-click promotion.

Frequently asked questions

We rely on pre-built CI/CD templates, IaC blueprints, and gated release workflows that streamline approvals while meeting architecture and security standards.

Responsible AI checkpoints are woven throughout the lifecycle: fairness audits, explainability artifacts, consent tracking, and audit logs to comply with GDPR, HIPAA, and emerging AI regulations.

Yes. We co-create with your data scientists, embedding MLOps engineers, solution architects, and product strategists to accelerate delivery while uplifting internal capability.
Client spotlight

Logistics transformation in 90 days

“Nexora helped us move from proof-of-concept to enterprise-grade predictive analytics. Their squads blended perfectly with our operations team.”

Fewer late shipments 52%
Annualised savings $12M
Realtime users 400+

Ready to move from backlog to business impact?

Co-create a delivery blueprint, stand up the right squad, and start shipping production-ready models in weeks—not months.