Proven quickstart blueprints deliver working PoCs in as little as four weeks.
Bedrock, Titan, and SageMaker guardrails protect data privacy and brand reputation
CodeWhisperer and MLOps pipelines raise developer productivity up to thirty percent
Complimentary half-day session that demystifies GenAI, uncovers high-value use cases, and sets a clear adoption roadmap.
Four-week PoC using AWS managed services to prove one targeted use case with measurable KPIs
Eight-to-twelve-week MVP integrating proprietary data, SageMaker pipelines, and MLOps, or a thirty-day developer productivity PoC
Production architecture delivering secure, governed, and cost-efficient model inference at scale
CX Director, BrightCare Health
100+GenAI pilots delivered
92% 2PoCs advance to MVP or production
Manual fraud reviews slowed transactions and drove costs
Avahi’s Jumpstart program ingested three years of transaction data, fine-tuned Titan embeddings, and deployed a SageMaker MLOps pipeline.
Fraud detection accuracy improved fifteen percent, review time dropped sixty percent, and ROI achieved in four months
30-second inference times throttled user onboarding and jeopardized a high-profile launch
Avahi migrated models to p5 SageMaker Endpoints and tuned LoRA weights, cutting latency to five seconds while autoscaling for viral demand
6× faster inference (30 s → 5 s)
100 k+ creators onboarded within weeks
Infrastructure cost -40 % per render thanks to right-sized GPU pods
Yes. It is an educational session that helps both teams align on GenAI goals and next steps
Ignition AI includes enablement and knowledge transfer, so your staff gains skills while solutions take shape.
Data is encrypted in transit and at rest, processed within your AWS account, and governed by least-privilege IAM and audit logs.
Absolutely. We support Bedrock hosted models, open-source FMs, and custom models fine-tuned in SageMaker
