TECHNOLOGY SOLUTIONS & ENGINEERING

BUILD WHAT'S NEXT

Cloud. Data. AI.

Engineered for production.

TitanBases helps businesses design, build and operate modern technology platforms across cloud infrastructure, data and artificial intelligence.

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WHAT WE DO

Cloud. Data. AI.
One engineering partner.

TitanBases provides Cloud & Infrastructure, Data Platforms, AI & Automation and Platform Engineering through one engineering delivery model.

ACTIVE CAPABILITY
Cloud & InfrastructureCloud · Data · AI
ARCHITECTURE · ENGINEERING · PRODUCTION
01Cloud & InfrastructureDesign and operate modern cloud platforms.02Data PlatformsBuild reliable data foundations.03AI & AutomationBuild production AI applications.04Platform EngineeringBuild and evolve production-grade platforms.
TECHNOLOGY ECOSYSTEM

Connect
everything.

The TitanBases technology ecosystem includes AWS for cloud, MongoDB for data, OpenAI for AI and Datadog for observability.

AI
OpenAI logo
OpenAI
Cloud
AWS logo
AWS
Data
MongoDB logo
MongoDB
Observability
Datadog logo
Datadog
AIOpenAI
CLOUDAWS
DATAMongoDB
OBSERVABILITYDatadog
Explore technology ecosystem→
PARTNER CREDENTIALS

Strategic partnerships across AI, cloud and data.

AI

OpenAI logo

OpenAI

OpenAI Select Partner Global

Cloud

AWS credential visual

AWS

Advanced Tier Partner

Data

Top 15 MongoDB ADVANCED TIER ASEAN

MongoDB

Advanced Tier Partner

WHY TITANBASES

Engineering beyond
implementation.

TitanBases combines architecture, platform delivery and operational ownership so cloud, data and AI systems remain useful in production.

ONE

Cloud · Data · AI

ArchitectureDesign before implementation
ProductionBuilt to operate and scale

HOW WE DELIVER

From architecture
to production.

INDUSTRIES

Where technology meets
real operations.

TitanBases focuses on Financial Services, Technology & SaaS, Gaming and Retail & Commerce, with engineering shaped around each industry's platform and operational needs.

01

Financial Services

Secure, compliant platforms built for scale.

02

Technology & SaaS

Infrastructure and products built for growth.

03

Gaming

Backend and data systems built for scale.

04

Retail & Commerce

Modern platforms for data, automation and digital experiences.

INDUSTRY CONTEXT / PLATFORM SYSTEMS

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CUSTOMER STORY

Engineering that works in production.

CHALLENGE

FintechAI operates AI-driven financial analysis experiences that allow users to interact with market and investment information through natural language. Moving the workload into production required more than model access: the application needed a controlled retrieval layer for financial knowledge, secure data handling, scalable application infrastructure and a repeatable way to evaluate retrieval and generation behavior as the system moved from validation into live operation. The initial validation phase established an end-to-end financial RAG pattern on AWS, including document ingestion, vector retrieval, foundation-model generation, security controls, observability and load-testing readiness. That architecture has since moved into production, while preserving clear boundaries between application infrastructure, retrieval services and model execution.

SOLUTION

TitanBases deployed an AWS-based Retrieval-Augmented Generation architecture using Amazon S3 for controlled source documents, Amazon Bedrock Knowledge Bases for retrieval orchestration, Amazon Titan Embeddings V2 for text embeddings and Amazon OpenSearch Serverless as the vector store. Retrieved context is then supplied to an Anthropic Claude foundation model for response generation. The application tier runs inside protected AWS networking with load-balanced compute and PostgreSQL-backed application data services. Infrastructure is defined with Terraform to support repeatable deployment and iteration. The security and operations baseline includes least-privilege IAM, AWS KMS, AWS WAF, VPC endpoints, AWS Secrets Manager, Amazon CloudWatch, Amazon GuardDuty, AWS Security Hub and Amazon Bedrock Guardrails. The implementation and validation scope included document upload and ingestion, vector retrieval, end-to-end RetrieveAndGenerate workflows, monitoring of vector-query latency, application load testing and security-baseline verification. The workload is now live in production, but the supplied material does not provide final benchmark measurements; do not invent or imply latency, accuracy or throughput results.

POC VALIDATION

Deployed an end-to-end financial RAG architecture connecting controlled document sources, embeddings, vector retrieval and foundation-model generation. Implemented Amazon Bedrock Knowledge Bases, Amazon Titan Embeddings V2 and Amazon OpenSearch Serverless as the retrieval foundation for financial knowledge workflows. Established a repeatable production-infrastructure approach with Terraform and protected AWS networking for application, data and AI components. The implementation included a production-readiness validation plan covering load testing, vector-query latency monitoring, CloudWatch observability and security-baseline verification. Applied security and AI-safety controls across IAM, KMS, WAF, GuardDuty, Security Hub, Secrets Manager and Bedrock Guardrails.

FintechAI logo

FintechAI

Financial Services

Engineering a Financial RAG Platform on AWS with Amazon BedrockFinancial Services
  • Deployed an end-to-end financial RAG architecture connecting controlled document sources, embeddings, vector retrieval and foundation-model generation.
  • Implemented Amazon Bedrock Knowledge Bases, Amazon Titan Embeddings V2 and Amazon OpenSearch Serverless as the retrieval foundation for financial knowledge workflows.
  • Established a repeatable production-infrastructure approach with Terraform and protected AWS networking for application, data and AI components.
  • The implementation included a production-readiness validation plan covering load testing, vector-query latency monitoring, CloudWatch observability and security-baseline verification.
  • Applied security and AI-safety controls across IAM, KMS, WAF, GuardDuty, Security Hub, Secrets Manager and Bedrock Guardrails.
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LET'S BUILD WHAT'S NEXT

Build your next
technology platform.

Talk to TitanBases about your Cloud, Data or AI initiative.

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