Delivery & Implementation
We deliver end-to-end data and AI solutions tailored to your business needs. Our implementation services ensure seamless integration, scalability, and performance, empowering you to unlock the full potential of your data and AI investments. From data engineering to AI-driven innovation, we provide the expertise and tools to transform your vision into reality.
ML and AI Solutions
Machine Learning (ML) & Predictive Analytics : Harness the power of Machine Learning (ML) and Predictive Analytics to solve business problems with data and precision. We build, train, and deploy ML models that forecast trends, optimize operations, and drive smarter decision-making across industries.
From demand forecasting for quick-commerce inventory to real-time conversion rate optimization to predictive maintenance of manufacturing equipment's to predictive pricing based on trends and data to parcel volume predictions by customer or facility, our solutions empower businesses with data-driven insights that enhance efficiency, growth and profitability.
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Generative AI and Agentic AI Solutions: Unlock the full potential of AI with our cutting-edge Generative AI and Agentic AI solutions. From intelligent automation powered by multi-agent autonomous systems to dynamic content generation with general purpose and specialized LLMs available off the shelf or deploy in house, we help businesses enhance productivity, creativity, and decision-making.
From AI powered internal knowledge assistants for enterprises to legal, HR and IT AI assistants to multi-lingual data scraping for global market intelligence to automated property data aggregation for real estate intelligence to building fully autonomous AI systems for automating complex workflows in Enterprises, we help you build smarter, faster, and more efficient AI powered systems that drive real impact.
Big Data Engineering
We design and implement scalable, secure and fault-tolerant data pipelines to efficiently ingest, preprocess and transform data as per business needs. Our AI powered Metadata Driven Data engineering framework provides :
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Multitude of capabilities for end to end Data management from Ingestion to pre-processing to transformation to secure data access and serving.
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Pre-built connectors for variety of data sources.
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Out of the box pre-built and tested data pipelines and module templates for various data ingestion and processing scenarios.
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Portable, can be deployed in your own cloud environment data platforms.
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Automated Deployment and DevOps enabled (version control, CICD Automation)
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Scheduling and Orchestration capabilities
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High Availability and Fault Tolerance of components and pipelines.
Business Intelligence (Reporting, Data Visualization)
We turn complex data into interactive, easy-to-understand dashboards and reports. Using cutting-edge visualization tools, we help decision-makers uncover clear, actionable insights—fast.
We provide end to end BI solutions from initial requirements gathering to data analysis and modeling to final dashboard and Report Development.
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Power BI & Beyond
Our expertise in Microsoft Fabric Power BI ensures you get dynamic, user-friendly dashboards tailored to your needs. But we don’t stop there—we also work with Tableau, Qlik, Looker, and other leading tools to find the best fit for your business.
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Whether you're looking to optimize your reports or BI architecture, enhance data-driven decision-making, or build a custom solution, we bring your data to life with clarity and precision.
DevOps and MLOps
We offer end to end Data & AI Platform DevOps and MLOps best service to automate, scale, and optimize data and AI workflows, ensuring efficient deployment and monitoring.
By unifying DevOps & MLOps, we enable scalable, reproducible, and continuously improving AI solutions, reducing time-to-market while ensuring reliability.
We offer various flexible engagement modes from dedicated platform DevOps and MLOps for your platforms to customized tailored DevOps and MLOps solutions and support.
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Infrastructure as Code (IaC): Automate cloud infrastructure with Terraform, Bicep, and AWS CloudFormation.
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CI/CD for Data & AI: Implement GitHub Actions, Azure DevOps, and Jenkins for automated code, data, and model deployment.
Containerization & Orchestration: Deploy scalable solutions using Docker, Kubernetes, and Databricks Workflows.
Model Lifecycle Management: Automate training, tracking, and deployment with MLflow, Kubeflow, and Azure ML.
Feature Store & Model Serving: Manage reusable ML features with Databricks Feature Store, Feast, and deploy models using FastAPI, TensorFlow Serving, and Triton.
Monitoring & Observability: Track performance, drift, and system health with Prometheus, Grafana, and ELK Stack.
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Data & AI Governance
Data Governance is a crucial element of an organization's Data Strategy and key for Data Driven culture at a company.
We implement robust data & AI governance frameworks to ensure data quality, compliance, security and accessibility across your organization. Our solutions are cloud-agnostic, allowing seamless integration with enterprise data catalogs and governance tools.
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Data Cataloging & Discovery: Enable easy search, classification, and tagging of datasets with Purview, Unity Catalog (Databricks) and other Cataloging tools to improve data accessibility for business users, analysts and engineers.
Metadata Enrichment and Data Ownership :
Flexible organization of data and metadata into business domains and data products and make data familiar to business users. Establish clear ownership ensuring accountability and responsibility for data.
Access Control & Policy Enforcement: Implement role-based access control (RBAC) and attribute-based access control (ABAC) using Azure AD, Unity Catalog, and AWS Lake Formation to enforce least privilege access for access control of data and AI assets. We also provide out of the box solutions for centralized Access Request process automation via Data Governance tools.
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Data Classification & Compliance: Automate compliance with GDPR, HIPAA, and ISO 27001 using Purview's built-in classification engine while ensuring governance policies align with security best practices.
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Data Quality Monitoring : Enable DQ monitoring with alerting in case of issues with data quality on particular assets or data products.
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Metadata & Data Lineage Management: Establish end-to-end data lineage tracking ensuring transparency across data flows and enable impact analysis.
Security Hardening
We implement multi-layered security strategies at different levels from Infra (Cloud) to platform services (Data & AI cloud services) to application layers to protect data, AI models, and cloud infrastructure from threats, ensuring compliance with industry standards like ISO 27001, GDPR, and NIST.
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Identity & Access Management (IAM): Enforce Zero Trust security with Azure AD, AWS IAM, and GCP IAM, implementing RBAC, ABAC, and least privilege access.
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Data Encryption & Protection: Secure data in transit and at rest using AES-256 encryption, TLS 1.3, and KMS (Key Management Services) across cloud platforms.
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Network Security & Isolation: Use private endpoints, VPC peering, firewall policies, and service mesh to control access and prevent unauthorized traffic.
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Security Monitoring & Threat Detection: Deploy SIEM (Security Information and Event Management) solutions like Microsoft Sentinel, Splunk, and AWS GuardDuty for real-time anomaly detection.
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AI & ML Model Security: Implement model integrity checks, adversarial attack protection, and bias detection using MLflow Model Registry, Differential Privacy, and AI Red Teaming to secure GenAI and LLM deployments.
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Data Masking & Tokenization: Use dynamic masking, PII redaction, and vault-based tokenization with Purview, Databricks, and Snowflake to ensure secure data sharing.
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Cloud Security Posture Management : Automate cloud platforms security posture management using Azure Security Center, Prisma CSPM, AWS Security Hub, and Google Security Command Center to maintain continuous compliance and security.
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DevSecOps workflow: From static code scans to secure code commit signing to scanning of images and executables (JARs, etc) we apply security measures at every step of the software development lifecycle.
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Vulnerability management: Continuous vulnerabilities scans, assessment, remediation process and reporting using tools like Prisma CWP, trivy, etc. and customized reporting on results.