Define creative goals, style rules, and delivery formats in a one-hour session
Configure prompts, brand constraints, and human review; validate results on sample briefs.
Orchestrate Bedrock calls with Lambda and Step Functions, then push assets to your DAM, PIM, or marketing stack.
Train custom checkpoints, add new aspect ratios, and surface performance analytics in QuickSight.
Our product photography backlog disappeared overnight. Avahi’s image engine produced five thousand images in two days at a tenth of studio cost.
VP E-commerce, TrendWave
97 percent brand-compliance pass rate on first draft
8× faster content production compared with traditional methods
Legacy media workflows dragged out turnaround times and produced inconsistent visuals, limiting Photozig’s ability to scale creative content.
Avahi built an AWS-native pipeline that refines prompts with Bedrock’s Nova Pro LLM and drives diffusion models (Nova Canvas, SD 3.5, Flux) on GPU-optimized EC2, all orchestrated with API Gateway and Lambda.
100 % AWS-native deployment—no third-party SaaS, full control of data and costs
Supports 3+ image resolutions (1024×1024, 864×1536, 1536×864) for omnichannel delivery
6+ cutting-edge models integrated, enabling photorealistic and stylized generation on demand
Production-ready in just 8 weeks, accelerating Photozig’s go-to-market roadmap
Yes. We fine-tune Stability AI checkpoints with your reference images to lock in lighting, textures, and brand elements.
You own full commercial rights to every image generated within your AWS account.
We apply Bedrock’s content filters, custom blocklists, and optional human review queues before assets reach production.
