AI Data Analytics
‍Blueprint

Turn every question into instant insights with AI data analytics. Go from questions to insights in real-time!

Scale AI Data Analytics in Production

Natural language
queries

Auto query 
generation

Context-aware intelligence

Self-healing 
analytics

Every enterprise faces Data Analytics Challenges

Data analytics used to mean data science teams building their own models and analysts building dashboards for executives. It worked for reactive situations. Many enterprises still operate on this paradigm.

Executives wait weeks for financial reports that should be instant

Analysts spend more time writing SQL queries than analyzing strategy

Teams depend on static dashboards that can’t answer “what’s next?”

Clinicians, bankers, and operators are guessing instead of deciding with confidence

Our solution

GoML’s AI Data Analytics Blueprint

Transform any business question into instant data insights using the power of large language
models and AI for data analytics.

Natural language
queries

Ask questions in plain English, and get instant answers.

Auto query
generation

Optimized SQL queries written by AI that knows your schema.

Context-aware
intelligence

AI understands relationships, hierarchies, and business logic.

Self-healing
analytics

Fixes broken queries automatically for reliable results.

Enterprise-grade infrastructure for AI data analytics

Adapter-based LLM integration

Unified access to Amazon Bedrock, OpenAI, Google Gemini, and Claude

Governance and compliance first

Audit trails, approvals, and explainability regulators trust.

Cost optimized insights

AI automatically routes tasks to the most efficient model, cutting spending by up to 40%.

Future proof architecture

Every new Bedrock model is instantly available without additional setup or re-architecting.

Secure by design

Runs entirely in your AWS environment; your data never leaves your region.

What is GoML's AI Data Analytics Blueprint?

Over 65% of enterprise data never gets analyzed in time to influence decisions. That’s the gap GoML’s AI Data Analytics Blueprint closes.

GoML’s AI Data Analytics Blueprint is a ready-to-adapt analytics engine: pre-built frameworks, schema-aware LLMs, compliance-ready workflows, and deployment code. Skip experimenting with APIs to enable your users to get answers to business-critical questions with AI data analytics, 80% faster. No SQL knowledge required.

Your own AI Data Analytics engine,
built on Bedrock

GoML’s AI Data Analytics Blueprint turns natural language into actionable analytics, securely, at scale, and without complex setup. By combining Amazon Bedrock with our ready-to-adapt modules, we help enterprises unlock self-service analytics that work across multiple databases and teams.

From questions to insights, instantly

Business users ask questions in plain English, and AI translates them into accurate SQL queries. No more waiting weeks for data science and analyst teams.

Enterprise-ready across databases

Supports PostgreSQL and SQL Server and is easily extensible to other systems. Includes an internal index of tables with short descriptions for AI readability.

Cost-optimized AI data analytics

Our Bedrock-powered engine automatically chooses the most efficient foundation model for each query, cutting AI costs by up to 40%.

Metadata 
enrichment

Automated schema crawls extract tables. Amazon Bedrock enriches data with human readable table and column descriptions.

Future-proof
architecture

Your analytics engine gains instant access to all Bedrock models. In addition, plug-in adapters are available for OpenAI, Gemini, or local models via LangChain.

Get Started with AI Data
Analytics Implementations

WEEK 1

Design

1-Day AI consulting

1-day AI discovery and acceleration workshop.

WEEK 4

Experiment

4-Day Rapid AI POC

Custom AI MVP/POC for scoped use case. Built with AI Matic solution and industry blueprints.

WEEK 8

Build

4-Month AI product development

Rapid, iterative prod-ready AI system development with AI Matic solution patterns and vertical blueprints.

WEEK 16

Run

LLMOps

Continuous monitoring, evaluation, and engineering for AI systems for token cost, harness, and model optimizations.

Run The Playbook Now

AI Data Analytics
‍Blueprint

Trusted by Industry Leaders

Every enterprise faces Data Analytics Challenges

GoML’s AI Data Analytics Blueprint