AuraForge is the layer between the data you already have and the decisions you need to make. Production-grade LLM pipelines, grounded analytics, and automation — running on AWS, governed end to end.
AuraForge unifies ingestion, reasoning, and delivery so teams stop stitching tools together and start shipping intelligent products.
Connect databases, warehouses, and APIs. We normalize messy operational data into clean, query-ready structures automatically.
Retrieval-augmented generation with guardrails, evaluation, and caching — answers stay grounded, fast, and cost-controlled.
Natural-language querying over your own data. Ask a question, get a chart, a number, and the SQL that produced it.
Trigger workflows from model outputs — alerts, reports, and actions that run without a human in the loop.
Row-level access, audit logs, and PII redaction baked in. Your data never leaves boundaries you control.
Track latency, cost, and quality of every model call. Know exactly what your AI is doing in production.
Securely link your databases, warehouses, and APIs. Read-only by default, encrypted end to end.
Define the metrics, models, and guardrails that matter. We handle the pipelines, retries, and scaling.
Query in natural language, receive grounded answers, and automate the actions that follow.
AuraForge runs entirely on AWS. We use managed inference, storage, and analytics services so the platform scales cleanly without operational overhead — and so every customer deployment stays inside a boundary they control.
Amazon Bedrock for managed model access with per-call cost and latency tracking; SageMaker for evaluation workloads.
RDS (PostgreSQL) and S3 for storage, with a vector store for retrieval. Read-only connectors keep source systems untouched.
EKS for pipeline orchestration and autoscaling, with Lambda for event-driven automation triggers.
Tell us about your data and what you want to decide faster. We reply within two business days.
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