Overview
Akadenia helps companies ship generative AI features that actually work in production — built on Amazon Bedrock and the broader AWS AI/ML stack.
We don't build isolated AI experiments. We embed LLMs, agents, and intelligent automation directly into your product, designing for security, cost efficiency, and real user scale from the start.
Founded in 2018 and headquartered in Ketchum, Idaho, our fully remote global team has delivered GenAI-powered systems for HealthTech, GovTech, FinTech, and AI-native startups — from real-time public safety platforms to diagnostic laboratory tools.
━━━ WHAT WE DELIVER ━━━
• Amazon Bedrock integration — model selection, fine-tuning strategy, prompt engineering, and production API design • Retrieval-Augmented Generation (RAG) — vector databases, embedding pipelines, knowledge bases, and context-aware responses • Agentic workflows — multi-step AI agents with tool use, orchestration, and human-in-the-loop controls • LLM-powered automation — content drafting, data extraction, classification, summarization, and translation • AI infrastructure on AWS — ECS Fargate, Lambda, S3, OpenSearch, ElastiCache, and API Gateway for AI workloads • Security and compliance — IAM, VPC, encryption at rest and in transit, HIPAA-aligned architecture where needed • MLOps and observability — model performance monitoring, cost tracking, logging, and A/B testing infrastructure
━━━ BEDROCK EXPERTISE ━━━
We architect production workloads on Amazon Bedrock and the broader AWS AI stack: Amazon Bedrock · Amazon SageMaker · Amazon OpenSearch · AWS Lambda · ECS Fargate · Amazon S3 · Amazon RDS · API Gateway · AWS IAM · CloudWatch · ElastiCache
━━━ PROVEN TRACK RECORD ━━━
• Perimeter — Integrated Amazon Bedrock into a real-time evacuation management platform protecting 4.5M+ lives. Automated alert drafting and intelligent decision support for 280+ agencies across 10+ US states. • LandingAI — Mobile and web development for Andrew Ng's computer vision platform, scaling AI-driven inspection tools for enterprise manufacturing clients worldwide. • ixLayer — Backend systems for a cloud-based diagnostic laboratory platform, enabling health plans and biopharma to process AI-augmented diagnostic data at scale.
━━━ HOW WE ENGAGE ━━━
We work as an embedded AI engineering team or as a project-based delivery partner. Typical GenAI engagements run 2–6 months for initial production features, with ongoing retainer support for iteration and scaling.
All engagements begin with a free 30-minute strategy session to assess your use case, data readiness, and the right Bedrock architecture for your product.
Highlights
- Design and deploy LLM-powered features on Amazon Bedrock — from automated content generation to intelligent data extraction. We architect for latency, cost, and security from day one, not as an afterthought.
- We turn AI prototypes into production systems: RAG pipelines, agentic workflows, prompt engineering infrastructure, and observability. Real users, real scale, real AWS infrastructure — not demos.
- GenAI doesn't exist in a vacuum. We pair Bedrock with ECS Fargate, Lambda, RDS, OpenSearch, and S3 to build complete applications. End-to-end delivery from model selection to frontend integration.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
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Vendor support
Dedicated Account Support
Every client receives a dedicated point of contact for the duration of the engagement. Your account manager is your single point of coordination for scoping, delivery updates, and escalations.
Response Times
- General inquiries: Within 1 business day
- Active project issues: Within 4 hours during business hours (Mon–Fri, 8 AM–6 PM MT)
- Production incidents: PagerDuty escalation for critical outages (enterprise SLA only)
Support Channels
- Email:
- Web: akadenia.com/contact
Enterprise SLA
For extended coverage, guaranteed response times, and after-hours support, contact us via the Private Offer flow. We can tailor SLAs to your operational requirements.