Overview
Aria - Agentic Analytics for the Enterprise
Aria is the Human-AI Analyst from Enlighten AI Labs. A single analyst, with Aria, delivers what used to take a team, in a fraction of the time.
Aria runs a five-step agentic workflow:
- Context Orchestration: assembles the business context, KPIs, and rules so the model thinks like your best analyst.
- Insights Planning: maps what to analyze and how before a single query runs.
- Data Processing: preps and transforms data governed by the schema and business logic above it.
- Insights Orchestration: coordinates across LLMs and tools to produce contextualized, decision-ready insights.
- Trust Verification: confirms every insight with AI reasoning and deterministic data validation. Audit-ready.
What Aria Delivers:
- Complex Analysis in Minutes: compress days of analytical work into minutes without sacrificing depth or rigor.
- Complete Analytical Narratives: end-to-end stories that connect data, context, and recommendations, not just charts or numbers.
- Consistency Across Users and Time: standardized analytical methodology so every stakeholder gets the same trusted answer.
- Scale to Thousands of Stakeholders: serve large organizations across business units, regions, and roles.
- Validated and Trusted Insights: every insight is grounded, traceable, and reviewable. Five layers of deterministic verification on every output.
Enterprise Ready:
- Deployment Flexibility: deploys directly into your AWS environment. Your data stays where it lives.
- Model Choice: works across the leading frontier model providers (OpenAI, Anthropic, Google). Your security review, your call.
- Stack Integration: connects to your existing data warehouse and BI layer. No rip-and-replace.
- Human-in-the-Loop: augmentation, not replacement. Aria works alongside the analyst, not over them.
The Five Differentiators:
- Steerability: guide the model with your business context, KPIs, and rules. Not a generic prompt.
- Repeatability: replicate standardized analytical workflows. Same question, same method, every time.
- Consistency: maintain consistent business language, structure, and analytical depth across the org.
- Scalability: scale insights from dozens of executives to thousands of decision-makers.
- Trust: verify every insight with comprehensive data validation. Audit-ready by design.
Best Use Cases:
- Scaled analysis across 50+ regions or 1,000+ stores
- Streamlining advanced data analysis workflows
- Generating executive-ready insights at scale
Target Users: Analytics Managers, Senior Analysts, and BI Analysts who need to deliver trusted, scalable, narrative-driven analysis across their organization.
Highlights
- Complex analysis in minutes. Aria runs a five-step agentic workflow to deliver complete, executive-ready analytical narratives with validated insights, not just charts or numbers. Every output passes deterministic trust verification before it reaches a decision-maker.
- Scale advanced data analysis to thousands of stakeholders across 50+ regions, 1,000+ stores, or any segmentation. Consistent methodology, consistent language, consistent depth, every time.
- Deploys inside your AWS environment. Model choice across OpenAI, Anthropic, and Google. Connects to your existing data warehouse and BI layer. Your data stays where it lives, your security review, your call.
Details
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You can now purchase comprehensive solutions tailored to use cases and industries.
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Vendor refund policy
All subscriptions are non-refundable. Pricing and scope are agreed upon prior to engagement. For questions, contact support@enlightenailabs.com .
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Delivery details
Aria 1.0.0 - Container BYOL
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release of Aria as an AWS Marketplace Container BYOL product. Aria deploys as two containers (frontend + backend) and is configured by the customer with their own Convex deployment, SuperTokens authentication core, and at least one LLM provider API key (Anthropic, OpenAI, or Google). With no configuration provided, Aria boots into a setup-required landing page that lists the required environment variables. See the included install guide for full setup instructions.
Additional details
Usage instructions
Aria is delivered as two container images: aria-backend (FastAPI + LangGraph) and aria-frontend (React + Nginx). The stack boots in BYOL mode by default - visiting the frontend with no configuration will display a setup-required landing page listing the required environment variables.
QUICK START (single host, docker compose):
-
Authenticate Docker with the marketplace ECR registry:
aws ecr get-login-password --region us-east-1
| docker login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com -
Pull the bundled docker-compose.yml and example config from the included deployment resources, then:
cp .env.example .env docker compose up -d
-
Open http://localhost - you will see the BYOL setup-required landing page.
BYOL CONFIGURATION (required to enable analysis features):
- CONVEX_URL, CONVEX_DEPLOYMENT, CONVEX_BACKEND_SECRET - your Convex deployment
- SUPERTOKENS_CONNECTION_URI (+ optional SUPERTOKENS_API_KEY) - your SuperTokens core
- At least one of ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY - LLM provider
Full configuration reference: see the bundled INSTALL.md deployment resource.
ECS / EKS DEPLOYMENT: the same image set runs unchanged on ECS task definitions or EKS deployments. Inject the BYOL environment variables via your existing secrets-management mechanism (AWS Secrets Manager, Parameter Store, Kubernetes secrets, etc.).
CONFIRMING CONFIGURATION: the backend exposes /marketplace/config-status, which returns a JSON document listing which BYOL variables are configured and which are missing. Useful as a smoke test in CI/CD.
SUPPORT: support@enlightenailabs.com . Every Aria customer is assigned a dedicated Account Manager backed by an engineering support team.
Support
Vendor support
Every Aria customer is assigned a dedicated Account Manager backed by an engineering support team. AI-assisted support with direct escalation to engineering when needed.
Email: support@enlightenailabs.com
Custom support packages available to match your organization's scale, complexity, and deployment requirements.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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