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Transforming Workforce Planning: Enterprise HRMS & Labour Analysis Platform Case Study

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Accelerate AI and Cloud Innovation with AWS Expertise

Build scalable, intelligent, and secure applications powered by AWS and Fission Labs' proven engineering excellence.

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Built on Proven AWS Expertise

Fission Labs' AWS partnership reflects verified technical mastery and enterprise-scale success

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AWS Advanced Consulting
Partner
Enterprise-scale delivery and modernization expertise
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AWS Generative AI Software Competency Partner
Production-ready Generative AI deployments
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60+ AWS Certified
Engineers
Driving Innovation in Cloud, Data, and AI
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100+ AWS Projects
Delivered
Across Cloud Modernization, Data Engineering, and Applied AI
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Strategic Collaboration Agreement
This collaboration brings together Fission Labs’ deep AI engineering expertise and AWS’s robust Generative AI ecosystem, including model orchestration frameworks, infrastructure services, and advanced development tools.

Our Tech Expertise

Through specialized frameworks, toolkits, and in-house delivery accelerators, Fission Labs accelerates AI deployment while maintaining enterprise-level governance, security, and scalability.
Gen Ai AWS

Generative AI on  AWS

Build and deploy AI-powered solutions

Data Engineering and Analytics

Data Engineering and Analytics on AWS

Transform data into actionable insights

Cloud Native AWS

Cloud-Native Modernization on AWS

Modernize applications for the
cloud

DevOps And Cloud Operations

DevOps and Cloud Operations

Streamline deployment and operations

Gen Ai AWS

Generative AI on AWS

Accelerate AI adoption from pilot to production using Amazon Bedrock and SageMaker

Key Capabilities

Deploy enterprise-ready AI models.

Build contextual RAG pipelines.

Automate document workflows and knowledge operations.

Monitor LLM performance and optimize cost.

Build multi-agent automation frameworks.

Integrate AI safely with compliance & governance.

Full-cycle GenAI migration from any third-party platform or custom models.

Case Studies

Media & Entertainment Company

Media & Entertainment Company

Challenge: Manual curation of Reddit posts and newsletter creation was slow, inconsistent, and lacked contextual relevance, with no scalable process for daily automation or personalization

Solution: Developed a fully serverless content automation pipeline on AWS using Lambda for processing, Bedrock for summarization and tone alignment, S3 for storage, OpenSearch for indexing, SES for delivery, Step Functions for orchestration, and CloudWatch for monitoring

Impact: Reduced content creation time by over 90%, enabled consistent daily newsletters, increased click-through rates by 45%, and achieved a zero-ops, fully scalable architecture

Healthcare / MedTech Company

Healthcare / MedTech Company

Challenge: Manual identification of surgical tools was time-consuming, inconsistent, and existing model accuracy was only 28%, limiting scalability

Solution: Implemented a GenAI-based computer vision pipeline using YOLO with automated data preprocessing, augmentation, and robust techniques such as background adjustments and occlusion removal

Impact: Increased accuracy from 28% to 65%, identified key data quality issues, and established a scalable framework for future improvements

Interested in Generative AI on AWS? Book a Session with Us for a Personalized Consultation

Schedule a consultation
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Data Engineering and Analytics

Data Engineering and Analytics on AWS

Transform enterprise data into actionable intelligence for predictive insights

Key Capabilities

Build modern data lakes and lakehouses.

Real-time and batch data pipelines.

BI and advanced analytics.

Data quality and observability.

AI-powered analytics and forecasting.

Data modernization & migration.

Governance, cataloging, and lineage.

Case Studies

Staffing and Recruiting Company

Staffing and Recruiting Company

Challenge: Needed to migrate 20 years of legacy CRM data, including billions of records, files, and complex parent-child relationships, to a modern CRM with full automation and scalability

Solution: Built an intelligent, serverless data migration platform on AWS using Step Functions for orchestration, AWS Glue for large-scale data processing, DynamoDB for dependency tracking, Secrets Manager for credential security, and CloudWatch for observability

Impact: Migrated millions of records within hours, replaced manual multi-step workflows handled by a 4-member team, and achieved high scalability, reliability, and zero-ops efficiency

Human Resources Services Company

Human Resources Services Company

Challenge: Manual data collection and transformation from multiple partner sources led to inconsistency, latency, and limited reporting capabilities. The client required scalable, governed, and automated data pipelines

Solution: Implemented a modern ELT architecture using AWS Glue for transformation, Lambda for API-based ingestion, S3 as a central data lake, and Step Functions for orchestration. Integrated Athena and Redshift for analytics, Bedrock for AI-driven data enrichment, and QuickSight for visualization and insights

Impact: Reduced manual data preparation time by over 80%, unified partner and job data in a governed lakehouse, and enabled real-time updates with AI-assisted enrichment

Interested in Data Engineering and Analytics on AWS? Book a Session with Us for a Personalized Consultation

Schedule a consultation
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Cloud Native AWS

Cloud-Native Modernization on AWS

Achieve agility, scalability, and operational efficiency through cloud-native architectures

Key Capabilities

Migrate legacy systems.

Build secure, scalable server-based architectures.

Automate CI/CD pipelines.

Scale efficiently using container orchestration.

Maintain multi-region availability and disaster recovery.

Event-driven architectures & microservices.

Edge & IoT integration.

Case Studies

Media & Entertainment Company

Media & Entertainment Company

Challenge: Manual curation of Reddit posts and newsletter creation was time-consuming, inconsistent, and lacked contextual relevance. There was no scalable workflow for daily automation or personalization

Solution: Built a fully serverless newsletter automation pipeline on AWS using Lambda for content extraction, Bedrock for summarization and tone alignment, S3 for storage, OpenSearch for indexing, SES for delivery, Step Functions for orchestration, and CloudWatch for monitoring

Impact: Reduced content creation time by over 90%, enabled consistent daily publishing, improved click-through rates by 45%, and achieved a zero-ops, fully scalable architecture

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Smart Mobility Company

Challenge: On-prem systems could not handle the high volume and velocity of video streams from distributed AI cameras. The client lacked centralized identity management and a scalable backend for real-time analytics and storage

Solution: Built a secure, scalable EC2-based architecture using Keycloak for authentication, Python for backend processing, TDengine for telemetry and video analytics, and S3 for media storage. The React web interface (on S3) interacts with EC2 services, while CloudWatch provides real-time health and performance monitoring

Impact: Enabled secure real-time ingestion of IoT and media data, reduced latency and manual intervention by 80%, and delivered a scalable, resilient architecture with centralized access control

Interested in Cloud-Native Modernization on AWS? Book a Session with Us for a Personalized Consultation

Schedule a consultation
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DevOps And Cloud Operations

DevOps and Cloud Operations

Drive operational excellence with automation, observability, and proactive optimization

Key Capabilities

Infrastructure as Code (IaC) automation.

Continuous Integration and Continuous Deployment (CI/CD).

Cloud monitoring, logging, and observability.

FinOps and cost optimization.

Security, compliance, and governance automation.

Automated backup and disaster recovery.

Platform Engineering & DevSecOps enablement.

Case Studies

Digital Health and Social Impact Technology Company

Digital Health and Social Impact Technology Company

Challenge: Frequent manual interventions for server maintenance, unpredictable traffic leading to over-provisioning, high operational costs, downtime during maintenance, and inconsistent configurations across environments

Solution: Designed a self-healing, cost-optimized AWS infrastructure using Auto Scaling Groups with ELB health checks, Terraform, and Ansible for standardized provisioning and configuration. Enabled automated patching, rolling updates, real-time monitoring with DataDog, and dynamic scaling with CloudWatch for optimal performance and cost efficiency

Impact: Improved uptime to 99.9% from 97.2%, eliminated downtime through rolling updates, achieved full configuration consistency, and significantly reduced operational costs

Enterprise Software Company

Enterprise Software Company

Challenge: Deploy a production Kubernetes cluster with MongoDB and Elasticsearch in a fully isolated, zero-internet environment, with no access to public registries or standard package repositories

Solution: Set up a private container registry and local package mirrors, pre-loaded all required images, configured Kubernetes with kubeadm pointing to local repositories, and deployed MongoDB and Elasticsearch with persistent storage and high availability

Impact: Delivered a secure, fully functional Kubernetes cluster in complete isolation, met strict compliance requirements, established reusable processes for future air-gapped deployments, and maintained performance comparable to internet-connected clusters

Interested in DevOps and Cloud Operations? Book a Session with Us for a Personalized Consultation

Schedule a consultation
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Joint Workshops with AWS

We've collaborated with AWS on 17 joint workshops in 2025 and planning more of such joint workshops in 2026.

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Chicago
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What Our Clients Say

Hear from leaders who transformed their business with our solutions

Our Clients Say
Gaurav
Chief Product Officer

"At BrightReturn, we leverage AI to transform workflows for CPAs and law firms. Implementing FloTorch's capabilities has enhanced AI experimentation, indexing, and retrieval. FloTorch's focus on open-source experimentation and scalable production enables us to deliver efficient, compliant AI solutions. Its advanced features, including the Inference Gateway and Vector Database Gateway, optimize our RAG framework-based AI agent, while AWS cloud integration continues to redefine AI solutions for the professional services industry."

Mohan Reddy
Co-Founder & CTO

"Fission Labs helped us develop our domain-specific HR AI solution using fine-tuned LLM models on AWS Gen AI infrastructure. Their expertise delivered a 65% improvement in labor market prediction accuracy and reduced our operational costs by over 30%, while enabling us to expand into 8+ new markets. The solution has been transformational for our scalability and global growth."

Igor Ganapolsky
Owner

"I'm thrilled to share my experience working with the Fission Labs team on the SaaS Growth Dispatch newsletter POC. Over the past few months, they've delivered a truly world-class, AI-powered newsletter product that's now on its way to becoming a profitable business venture for all of us. The team's deep expertise in AWS, web development, and AI/ML infrastructure was evident throughout the project. I'm confident that this collaboration will continue to grow successfully, driven by the exceptional talent and dedication of everyone at Fission Labs."

Raja Krishnamurthy
VP - Security & Innovation

"Fission Labs demonstrated an impressive level of involvement and commitment throughout the engagement. The team’s collaborative approach ensured a smooth and highly productive process from start to finish. Their professionalism during delivery, particularly in the knowledge transfer phase, stood out."