The AI Comparison Tool reveals model accuracy, latency, and price gaps in minutes.
Bedrock pricing combined with Savings Plans cuts inference spend immediately.
Swap among Claude, Titan, and other foundation models without rewriting code.
Map Gemini usage, traffic patterns, and compliance needs, then build a phased migration roadmap.
A side-by-side report quantifies cost and performance gains for each target Bedrock model.
The Bedrock Conversion Tool automatically translates Gemini prompts, parameters, and embeddings.
Blue-green deployments validate accuracy, latency, and guardrails before switching production traffic.
Workshops, runbooks, and optional managed services keep your new Bedrock stack optimized.
Head of Engineering, DataStream Health
More than 60 Gemini workloads migrated
92 percent of clients exceed projected savings within two months
Rising Gemini usage fees and limited regional availability for latency-sensitive apps
The AI Comparison Tool identified Claude Instant as the best fit. Avahi converted 450 prompts, migrated vector indices to Amazon OpenSearch Serverless, and deployed Bedrock in three regions
Cost per thousand tokens dropped 40 percent, median latency fell 25 percent, and the company passed its SOC 2 audit on the first review
Live-streaming startup Groopview relied on Gemini for its real-time co-host avatar, but 12-second responses stalled engagement and spiked compute costs.
Avahi’s AI Comparison Tool benchmarked Gemini vs. Claude 3 on Bedrock, then automated prompt conversion and blue-green cutover, delivering Bedrock-powered avatars in production in just 6 weeks.
80 % faster replies (12 s -> 2.5 s simple / 7 s complex)
45 % lower inference spend via Savings Plans & auto-scaling
Session length +22 % as lag disappeared
Unified Bedrock stack ready to swap models (Claude, Titan) in minutes
Yes. You can run unlimited Gemini versus Bedrock comparisons during the discovery phase.
Prompts are tuned and regression-tested to match or exceed current output quality before going live.
All processing stays inside your AWS account with encryption, VPC endpoints, and least-privilege IAM.
Blue-green deployments allow an instant rollback without affecting users.
