In the new era of intelligent applications, Generative AI is transforming how businesses create content, interact with
users and automate knowledge work. Sufle helps organizations unlock the full value of Generative AI by aligning data infrastructure, organizational readiness and AI strategy using AWS-native services.

Harness Amazon Bedrock foundation models, SageMaker pipelines and Textract document processing to
modernize workflows and unlock new value from your own data, with Sufle’s expert AWS team guiding you
every step of the way.

Built on AWS

We leverage AWS-native tools and frameworks to ensure secure, reliable, and scalable GenAI
deployments:

Amazon Bedrock

Managed foundation model API and Access foundation models like Anthropic Claude, Meta Lama, Amazon Titan and DeepSeek

Amazon SageMaker

Full lifecycle ML model development. Amazon SageMaker powers every stage of your machine learning journey from data preparation and model training to deployment and monitoring. We leverage SageMaker to build scalable, secure, and continuously improving GenAI solutions tailored to your business.

Amazon Textract

Document intelligence for unstructured data. Amazon Textract automatically extracts text, tables, and key information from scanned documents and PDFs. We integrate Textract into your GenAI workflows to turn unstructured data into actionable insights enabling smarter search, summarization, and automation.

AWS Lambda & API Gateway

For integrating AI with serverless business logic. We use AWS Lambda and API Gateway to embed Generative AI into scalable, event-driven workflows. This enables real-time inference, automation, and seamless integration with your applications without managing servers or infrastructure.

Amazon S3 & KMS

Secure, scalable data storage with encryption. We use Amazon S3 and AWS Key Management Service (KMS) to store and protect your data with industry-grade encryption, fine-grained access control, and high durability ensuring your GenAI workflows are secure and compliant from end to end.

AWS CloudFormation & SAM

Infrastructure as Code for automation. We use AWS CloudFormation and the Serverless Application Model (SAM) to define and deploy GenAI infrastructure as code, ensuring repeatable, version-controlled, and automated environments that scale with your needs.

Amazon CloudWatch & CloudTrail

We leverage Amazon CloudWatch and CloudTrail to provide real-time visibility, performance monitoring, and detailed audit logs across your GenAI environment ensuring security, reliability, traceability, and operational excellence.

What AWS Brings to Your AI Journey

Sufle builds Generative AI solutions exclusively with AWS, the most secure, scalable, and enterprise-ready
platform for AI innovation. Here's why AWS is your foundation for responsible GenAI:

Foundation Models on Demand

AWS Bedrock provides instant access to leading models like Anthropic Claude, Amazon Titan, and others with one secure API.

Full ML Lifecycle with SageMaker

From data prep to deployment and monitoring, SageMaker enables scalable, production-grade AI pipelines tailored to your data.

Serverless Scale

With AWS Lambda and EventBridge, your AI solutions can automatically scale to handle user demand without server management.

Enterprise-Grade Security

AWS-native services ensure end-to-end encryption, strict IAM controls, and compliance with global standards like GDPR, PCI, HIPAA, and ISO.

Proven Reliability

AWS’s global infrastructure, including CloudFront and global regions, guarantees high availability, low latency, and operational excellence for AI-driven services.

Who It's For

Startups

Agile teams looking to build the next AI-driven product. We help you move fast – from idea to prototype to scale – using AWS credits and cloud-native services so you can innovate without huge upfront costs.

Enterprises

Large organizations that need secure, scalable AI. As one AWS study shows, 90% of companies are already deploying generative AI (and 44% are in production). Sufle helps you stay ahead by integrating GenAI into your existing IT landscape with governance and ROI in mind.

Public Sector

Government agencies, NGOs and public service groups can use GenAI to improve citizen services and efficiency. For instance, the South Australia Department of Education built an AWS-powered AI platform to monitor student well-being using AWS EC2 and other s

EdTech

Educational companies and institutions aiming to personalize learning. GenAI can create adaptive lesson plans and interactive tutors. Innovations like Ello (an AI reading coach) show the potential for highly personalized learning experiences. Sufle guides EdTechs in implementing these AI tools safely and at scale on AWS.

Healtcare

Healthcare providers are turning to Generative AI to streamline operations, enhance patient care, and reduce administrative burdens. Sufle helps implement secure, HIPAA-compliant AI solutions that automate medical documentation, assist with triage, and enable AI-powered patient engagement, all built on AWS. With services like Amazon Bedrock and Textract, we ensure sensitive health data is handled responsibly while unlocking new levels of efficiency in healthcare workflows.

Financial Services

Banks, fintechs, and insurance providers can leverage Generative AI to improve customer experiences, detect fraud, and gain real-time insights. Sufle builds secure, compliant AI pipelines that align with strict industry regulations like GDPR or PCI DSS. Using AWS-native services such as Bedrock, SageMaker, and Kendra, we help financial organizations automate tasks, analyze unstructured data, and deliver AI-driven customer support without compromising security or trust.

Digital Native Startups

Ambitious startups ready to build AI-driven products can accelerate development with Sufle and AWS. Whether embedding Large Language Models (LLMs) into apps, building intelligent chatbots, or creating generative productivity tools, we provide the technical expertise to scale quickly and securely. Leveraging AWS credits, serverless infrastructure, and our AI/ML know-how, your startup can go from concept to production without large upfront costs or operational complexity.

Organization

Organizations across industries seeking to harness generative AI to innovate, improve efficiency, and enhance customer experiences.Whether you are starting your AI journey or scaling existing solutions, Sufle helps integrate secure, compliant, and scalable GenAI capabilities tailored to your unique business needs using AWS cloud-native services and best practices.

Our Approach

Our phased engagement model ensures scalable, secure, and fast deployments:

01. Assessment Phase

Evaluate technical readiness, organizational maturity, and data landscape

02. Strategy Development

Identify use cases, run PoCs, validate datasets, and build a GenAI roadmap

03. Implementation & Optimization

Train and deploy models, integrate into workflows, track performance, and iterate

04. Security & Compliance Integration

Enforce data anonymization, RBAC, encryption, and privacy-by-design

05. Handover & Support

 Deliver SLAs, conduct training, establish support processes, and monitor user impact

01. Assessment Phase

Evaluate technical readiness, organizational maturity, and data landscape

02. Strategy Development

Identify use cases, run PoCs, validate datasets, and build a GenAI roadmap

Why Sufle?

AWS Advanced Tier Services Partner with AI/ML and training delivery experience

Cross-functional expertise in GenAI architecture, compliance, and operations

Proven ability to move from PoC to production with measurable business outcomes

Security-first approach backed by AWS Well-Architected principles

AWS Certified GenAI Expert team

AWS Certified Expert Team that is ready to rock!

Let’s Build

Responsible AI Together!

Ready to turn your Generative AI ambition into a secure and scalable reality?

Let’s explore how we can partner to make your AI journey successful from idea to production.

Contact Us

Frequently Asked Questions