IBM watsonx.ai · watsonx.data · watsonx.governance · IBM Granite · Enterprise AI

IBM watsonx — Enterprise AI You Can Build, Deploy & Trust

IBM watsonx gives enterprises a platform to build AI on their own data, deploy it in their own infrastructure, and govern it against regulatory and business risk. No black box. No data leaving your perimeter. AI that can be audited. Ogma deploys and operates watsonx for enterprises across India.

IBM Authorized Business Partner On-Premises AI Deployment DPDPA & CERT-In Aligned GST Invoice
3 Products
Build, Store, Govern AI
On-Prem
Data Stays in Your Network
Granite
Open Enterprise Foundation Models
DPDPA
Compliance-Ready AI Governance

Why Ogma for watsonx?

Ogma is an IBM Authorized Business Partner with AI architects who have delivered watsonx deployments, RAG pipelines, and AI governance frameworks for regulated enterprises in banking, manufacturing, and public sector in India.

  • IBM Authorized Business Partner — official watsonx licensing
  • AI use-case discovery and ROI workshop (2 days, on-site)
  • watsonx.ai RAG pipelines on your private document corpus
  • watsonx.data lakehouse deployment — Iceberg, Presto, Milvus
  • watsonx.governance AI risk posture assessment and monitoring
  • OpenShift-based on-premises deployment for DPDPA compliance
IBM Authorized Partner
Official licensing channel
AI Architects On Staff
RAG, fine-tuning, MLOps
AI Governance
Risk, bias, explainability
GST Invoice
Fully documented billing

IBM watsonx Platform Scope

Ogma delivers across all three watsonx products and the supporting OpenShift infrastructure beneath them.

watsonx.ai Studio

Build, fine-tune, and serve AI models. Ogma configures the model library (IBM Granite, Llama, Mistral), builds RAG pipelines over your document corpus, and deploys inference endpoints with API security and rate limiting.

watsonx.data Lakehouse

Open, governed data store built on Apache Iceberg. Ogma migrates existing data warehouses (Db2, Teradata, Snowflake), configures the query engine (Presto/Spark), and sets up data access policies for AI workloads.

watsonx.governance

AI risk management across your entire model portfolio — IBM and third-party. Ogma configures drift monitoring, bias detection, factual accuracy scoring, and compliance audit trails for DPDPA and RBI AI guidelines.

RAG Pipeline Development

Retrieval-augmented generation on your private knowledge base — policy documents, contracts, product manuals, SOPs. Ogma builds the embedding pipeline, vector store, and prompt engineering layer with guardrails.

AI Use Case Discovery

Two-day structured workshop to identify, score, and prioritise AI use cases by business value and feasibility. Delivers a 90-day AI roadmap with specific watsonx product recommendations per use case.

MLOps & Model Operations

Model registry, CI/CD pipelines for model retraining, A/B traffic routing, and production monitoring. Ogma operates your watsonx environment with SLA-backed uptime and monthly model performance reports.

Frequently Asked Questions

IBM watsonx is IBM's next-generation AI platform announced in 2023, replacing the classic Watson suite. It has three components: watsonx.ai (a studio for building and fine-tuning foundation models, including IBM Granite and third-party LLMs), watsonx.data (a governed data lakehouse for AI-ready data), and watsonx.governance (AI risk, bias, and explainability management). Classic Watson services (NLU, STT, Discovery) continue to run but watsonx is where new AI development happens.

Yes. IBM watsonx can be deployed on-premises via IBM Cloud Pak for Data, on IBM Cloud (SaaS), or on other cloud providers. On-premises deployment uses OpenShift. This is a key differentiator over public-cloud-only AI platforms: your model training data stays within your perimeter, which is critical for DPDPA and CERT-In compliance.

IBM Granite is a family of open, enterprise-grade foundation models developed by IBM Research. They are available in watsonx.ai and cover code generation, text analysis, summarisation, and classification. Unlike closed-source LLMs, Granite models are transparent about training data and are specifically designed for enterprise compliance (no prohibited content in training data). Granite Code models score competitively against larger open-source models on coding benchmarks.

watsonx.governance automates AI risk management: it monitors deployed models for bias drift, factual accuracy, and prompt injection risk; generates audit trails for every model decision; and maps your AI systems to regulatory frameworks. For India, it aligns with DPDPA data minimisation requirements and the emerging SEBI/RBI guidance on algorithmic systems. It creates evidence packs for board-level AI governance reviews.

Yes. watsonx.governance monitors third-party models including Azure OpenAI, AWS Bedrock, and Google Vertex — not just IBM models. You can use watsonx.ai for fine-tuning or RAG on your proprietary data while maintaining your existing Azure OpenAI deployment, with watsonx.governance providing centralised risk monitoring across all AI assets.

Ogma offers: AI use-case discovery workshops, watsonx.ai proof-of-concept builds (RAG pipelines, document classification, code assistant), watsonx.data lakehouse deployment and data migration, watsonx.governance AI risk posture assessments, and full-stack watsonx platform deployment on OpenShift. We also provide AI/ML model fine-tuning services using your enterprise data.