Shaping Business with

Applied AI & ML Services

From GenAI prototypes to governed, production-grade models, we turn vision into value with end-to-end engineering, battle-tested MLOps, and responsible AI built in.

  • + GenAI & LLM Engineering
  • + Intelligent Forecasting
  • + MLOps & Model Reliability
  • + Responsible AI & Governance

AI-Driven Solutions for Real-World Impact

Services
01.

GenAI & LLM Engineering

We fast-track enterprise use-cases—chatbots, content co-pilots, agentic workflows—by fine-tuning LLMs on your data and orchestrating them across Azure OpenAI, Databricks Mosaic AI, and AWS Bedrock. Early pilots become secure, scalable applications that lift productivity and CX.

Custom LLM Fine-Tuning Prompt Engineering & Optimization Multi-modal Capabilities
Inference Optimization
02.

Intelligent Forecasting

Our data-scientists build forecasting, optimisation, and recommendation engines that cut churn, reduce waste, and sharpen pricing. Each model is paired with clear KPIs and A/B telemetry, so business impact is visible—not speculative.

Time Series Forecasting What-if Scenario Simulation Optimization Algorithms Real-time Predictive Scoring
03.

MLOps & Model Reliability

CI/CD pipelines automate training, testing, and rollout, while Dynatrace Model Trace keeps drift, bias, and latency in check. Result: release cycles shrink from months to days and models stay trustworthy in production.

Automated CI/CD for ML Pipelines Model Versioning & Lineage Monitoring Dashboards & SLAs Model Drift Detection & Alerts
04.

DataOps Pipelines

Policy-as-code embeds fairness, privacy, and auditability from day one—aligning with EU AI Act, GDPR, and DPDP. Scorecards surface every decision’s provenance, giving regulators and boards the confidence to scale AI safely

Automated Data Ingestion Data Quality & Validation Pipeline Orchestration
Version Control & Reproducibility
Generative AI

Client
Success Stories

01

A Retail Leader’s Transformation in the Age of Data

A major retail chain faced hurdles in using their extensive data effectively: low data literacy among staff, inefficient data processes, difficulty turning data into actionable insights, and the need for improved operations and customer experience.

See how we helped them

02

Implementing Data Analytics Platform for A Telecom Company

A prominent US telecom firm, The Customer, is engaged in the federal Lifeline Support Program. Specializing in prepaid cell phones and packages, they cater to low-income individuals, driven by their mission to offer widespread telecom services with a focus on serving the community.

See how we helped them

03

How A Modern Data Platform Can Increase Customer Usage

Striving for superior quality and customer experiences, the client aimed to outshine competitors by embracing a data-driven approach.

See how we helped them