Cloudwalker Solutions

Enterprise AI that runs
on your data, in your cloud

Cloudwalker builds production-ready Generative AI applications on Amazon Bedrock — grounded in your data warehouse, integrated with your workflows, and governed under your security policy.

Conversational Analytics Powered by Bedrock
Claude
Sonnet
Model
<3s
Response time
99.2%
Accuracy
Query types handled
Analytics
100%
Reporting
88%
Forecasting
72%
Alerts
55%

What is Generative AI for Enterprise

From proof of concept to production AI — on AWS

Most enterprise Gen AI projects stall at the prototype stage. The model works in a notebook, but connecting it to real data, real users, and real security requirements turns out to be the hard part.

Cloudwalker has solved this problem repeatedly — for betting operators, airlines, and enterprise data teams. Our approach is grounded in Amazon Bedrock, connected directly to your Redshift data warehouse, and built to handle the scale and compliance requirements of regulated industries.

Bedrock-first architecture
Amazon Bedrock as the LLM layer — Claude Sonnet by default. No third-party APIs, no data leaving AWS eu-central-1.
Data-grounded responses
AI answers connected to your actual data via RAG pipelines, Redshift queries, and Knowledge Bases — not hallucinations.
Enterprise security
ISO 27001 alignment, VPC-isolated inference, IAM-based access control, and full audit logging of every AI interaction.

Core capabilities

What Cloudwalker builds on Amazon Bedrock

01

Conversational analytics (Echo)

Natural language querying of your data warehouse. Business users ask questions in plain language; the system generates Redshift SQL, executes it, and returns business-ready answers. Cloudwalker's flagship Echo product.

Amazon Bedrock Redshift Text-to-SQL
02

RAG pipelines & Knowledge Bases

Build retrieval-augmented generation systems grounded in your internal documents, runbooks, and knowledge bases. Powered by Amazon Bedrock Knowledge Bases with vector search via OpenSearch Serverless.

Amazon Bedrock Knowledge Bases OpenSearch Serverless
03

AI agents & workflow automation

Design multi-step AI agents using Amazon Bedrock Agents that can query databases, call APIs, and complete complex tasks autonomously — reducing manual analyst workload.

Bedrock Agents Step Functions Lambda
04

LLM integration & prompt engineering

Integrate LLM capabilities into existing applications via Bedrock API. Cloudwalker handles model selection, prompt design, context management, and response validation for production reliability.

Claude Sonnet Prompt engineering API integration
05

Real-time AI on streaming data

Connect Bedrock inference to Kinesis and Apache Flink pipelines for real-time AI decisions — fraud scoring, live odds commentary, player behaviour signals.

Amazon Kinesis Apache Flink Real-time inference
06

AI governance & guardrails

Implement Amazon Bedrock Guardrails for content filtering, hallucination detection, and PII masking. Establish model evaluation frameworks and human review workflows for regulated use cases.

Bedrock Guardrails Model evaluation PII masking

Our AI approach

How Cloudwalker builds production AI

Step 01
Ground it in data
AI without good data is just noise. We connect Bedrock to your Redshift warehouse, S3 data lake, and real-time streams — ensuring every AI response is grounded in your actual business reality.
Step 02
Build for reliability
Prompt engineering, response validation, fallback paths, and latency SLAs. Production AI needs the same engineering rigour as any other critical system. We build it that way from day one.
Step 03
Govern & secure
VPC-isolated inference, IAM role-based access, Bedrock Guardrails, and full CloudTrail audit logging. Your AI system is as secure as the rest of your AWS estate.

Use cases

Where enterprise AI delivers real value

Conversational BI
Analysts and operators query data warehouses in plain language — no SQL required. Instant answers from terabytes of historical data.
Document intelligence
Extract insights from contracts, reports, and regulatory filings. RAG pipelines that surface the right answer from thousands of internal documents.
Automated reporting
AI agents that generate daily performance reports, anomaly summaries, and executive briefings from live data — without a data analyst in the loop.
Compliance & risk
AI-assisted regulatory monitoring, fraud signal summarisation, and audit trail generation for gambling and financial services operators.
Claude
Sonnet
Default model via Amazon Bedrock (claude-sonnet-4-20250514)
<3s
Target response latency for conversational analytics
100%
Data stays in AWS eu-central-1 — zero third-party egress
ISO
27001
Compliance context applied to all AI workloads

Built on AWS

Amazon Bedrock Claude Sonnet Amazon Redshift Amazon Bedrock Knowledge Bases Amazon Bedrock Agents Amazon Bedrock Guardrails Amazon OpenSearch Serverless Amazon Kinesis Apache Flink AWS Lambda AWS Step Functions Amazon CloudWatch AWS CloudTrail Amazon S3

Build AI that works on your data

Start with a workshop — we'll map your data assets, identify the highest-value AI use cases, and scope a production delivery.