Certified AWS Partner · Bedrock · SageMaker85% of AI Projects Never Reach Production. Ours Ship in 6 Weeks.
Wrong AWS service selection, $50K burned on SageMaker endpoints nobody uses, POCs that never leave Jupyter. We deploy production AI on Bedrock, SageMaker & Lambda — chatbots to full agentic platforms.

Bedrock, SageMaker, Lambda. We pick. You save.
Amazon Bedrock
Claude, Llama 3, Titan — foundation models without GPU infrastructure. RAG pipelines, knowledge bases, AI agents. Pay per token, not $50K/month for idle endpoints.
Amazon SageMaker
Custom ML models — demand forecasting, anomaly detection, recommendation engines. Training, deployment, A/B testing, and model monitoring. Production MLOps, not Jupyter notebooks.
Lambda + Step Functions
Serverless AI inference. Agentic workflows that plan → decide → act across multi-step processes. Pay-per-execution. Zero idle cost. Infinite scale.
API Gateway + CloudFront
Deploy AI models as REST/WebSocket APIs. Global edge caching. <100ms inference latency. Rate limiting, auth, and monitoring built-in.
IAM + VPC + KMS
Enterprise-grade security. Private endpoints, encryption at rest/transit, fine-grained access control. SOC2, HIPAA, EU AI Act compliance.
EventBridge + SQS
Event-driven AI triggers. Invoice arrives → AI processes → ERP updates → notification sent. Fully async, fully reliable.
AI that makes money. Not AI that demos well.
AI Customer Support
Bedrock-powered chatbots that resolve tickets using your knowledge base. Not canned responses — actual reasoning with context from your docs, orders, and CRM.
Demand Forecasting
SageMaker custom models trained on your sales data. Predict demand by SKU, season, channel. Feeds directly into Odoo or Shopify inventory.
Content Generation
Product descriptions, marketing copy, personalized emails — at scale via Bedrock. Brand-consistent tone. Multi-language. API-integrated into your CMS.
Document Intelligence
Auto-extract data from invoices, contracts, POs. Classify, validate, push to ERP. Works with handwritten, scanned, and PDF documents.
Agentic AI Workflows
AI that plans, decides, and executes multi-step business processes autonomously. Order processing, vendor negotiation, compliance checks — without human intervention.
Smart Search & Recommendations
Semantic product search for your Shopify/D2C store. "Show me summer dresses under $50 in blue" — actually works. Plus personalized recommendations.
From AI we deployed. Not Gartner quadrants.
AI Support Cost
vs $12/ticket with human agents — 83% cost reduction
Ticket Deflection
Bedrock chatbot handles 6 out of 10 customer queries autonomously
POC to Production
Structured delivery — not a 6-month research project
AWS Cost Savings
Right-sized architecture: Bedrock where possible, SageMaker only when needed
AI Uptime
Multi-AZ deployment, auto-scaling, health checks, automated failover
POCs Fail Industry-Wide
Ours don't — because we build for production from day one, not demos
Discovery to deploy. Not discovery to deck.
AI Use Case Discovery
We identify the highest-ROI AI use case for your business. Not "what's cool" — what saves money or makes money. You get a feasibility report with cost estimates and timeline.
Architecture & AWS Stack Selection
Bedrock vs SageMaker vs Lambda — depends on your use case, budget, and data. We blueprint the right architecture. Fixed-scope proposal. Not a 40-page deck that says "it depends."
Build & Deploy
Prompt engineering, model fine-tuning, RAG pipelines, API deployment. CI/CD, monitoring, security — all production-ready. Staging environment for testing before go-live.
Integrate & Optimize
Connect AI to your Odoo ERP, Shopify store, CRM, or internal tools. Post-launch: cost optimization, model performance tuning, quarterly architecture reviews.
“We tried building AI customer support in-house for 6 months. Spent $180K. Nothing in production. Braincuber rebuilt the architecture on Bedrock + Lambda in 6 weeks. Now handling 60% of tickets automatically at $2/ticket vs $12 before.”
Ananya Desai
VP Technology, FastCart D2C
AI + ERP + D2C. One team builds it all.
AI on AWS questions. Engineer answers.
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