GenAI & Machine Learning
Solutions
We help enterprises move beyond AI experimentation to production-grade implementations that deliver measurable business outcomes on AWS.
Our AI/ML Approach
Our methodology covers the full lifecycle — from identifying high-impact use cases to building scalable, secure, and cost-effective AI systems on Amazon Bedrock and SageMaker.
GenAI Capabilities
Enterprise-grade AI solutions built on AWS, designed for scale, security, and measurable impact.
Agentic AI & Multi-Agent Orchestration
Build autonomous AI agents that reason, plan, and execute multi-step workflows. We implement multi-agent architectures using Amazon Bedrock Agents, AWS Step Functions, and custom tool-use patterns with human-in-the-loop oversight.
AI-Powered FinOps & Cloud Optimization
Deploy intelligent agents that continuously monitor AWS costs, detect waste from idle resources and oversized instances, and execute approved optimizations. Achieve 30%+ cost reduction with 95%+ optimization accuracy.
Intelligent Data Lake Governance
Automate data discovery, classification, PII/PHI detection, quality validation, and policy enforcement. Multi-agent architectures achieve 98%+ automated governance coverage across enterprise data lakes.
AI Security Operations (SOC)
Leverage autonomous AI agents for intelligent alert triage, threat correlation, and automated incident response. Achieve 70%+ faster Mean Time to Detect without increasing headcount.
Enterprise Knowledge Governance
Automatically organize, classify, and govern enterprise knowledge assets using intelligent AI agents. Enforce standards, improve discoverability, and maintain continuous compliance.
Retrieval-Augmented Generation (RAG)
Design and deploy enterprise RAG pipelines that ground LLM responses in proprietary data. Amazon Bedrock Knowledge Bases and OpenSearch Serverless ensure accurate, citation-backed outputs at scale.
Production AI Operations
Getting a model to work in a notebook is the easy part. We specialize in the hard part — making AI systems reliable, scalable, secure, and cost-effective in production.
MLOps & Model Lifecycle
End-to-end ML pipelines with SageMaker Pipelines, automated retraining, model registry, canary deployments, drift detection, and automated rollback.
Cost Optimization for AI Workloads
Optimize inference costs through model distillation, quantization, Inferentia/Graviton deployment, and right-sized auto-scaling — reducing costs by 40-60%.
Security, Governance & Compliance
Responsible AI with Bedrock Guardrails, PII detection, content filtering, audit logging, data residency, explainability, and bias monitoring.
Data Strategy & Feature Engineering
Data pipelines with AWS Glue, Lake Formation, and EventBridge delivering clean, governed, feature-rich datasets with versioning and lineage tracking.
Proven Results
Real customer outcomes from our GenAI & Agentic AI engagements.
Littlebird — AI-Powered FinOps Cloud Optimization Agent
Deployed a fully serverless Agentic AI FinOps platform using Amazon Bedrock Agents and Claude to automate cloud cost management and execute approved optimizations autonomously.
Fix-it.ai — AI Multi-Agent Data Lake Governance
Implemented an autonomous multi-agent data governance platform using Amazon Bedrock Agents to automate discovery, classification, PII detection, and policy enforcement.
Ready to Deploy Production AI?
Let’s discuss how our GenAI solutions can deliver measurable ROI for your business.
Schedule a Discovery Call