- contact@insightrag.com
An AI-powered platform that turns unstructured and structured data into actionable insights. Sources » Vector DB » AI — with connectors, extractors, vector integrations, and compliant workflows out of the box.
From data ingestion to retrieval to governance — one platform, not seven stitched together.
Integrate with databases, cloud storage, and file servers. Structured and unstructured. Custom APIs for legacy or one-off sources.
Prebuilt extractors for text, tables, images, charts, audio, and video. Customisable for domain-specific needs.
Integrations for the major vector stores — optimized for similarity search and metadata-driven retrieval at scale.
Modular pipelines for ingestion, chunking, embedding, and indexing — configurable per source, observable end-to-end.
Capture business, security, and content classification metadata at ingestion. Enforce at query time. Audit every retrieval.
Protect PII before it ever reaches the index. Guard the LLM tier against bias, prompt injection, and unauthorized access.
Cloud, streaming, data integration, and automation partners we deploy with — in your account, in your VPC, in your perimeter.
EKS, Bedrock, OpenSearch, S3
GKE, Vertex AI, GCS
AKS, Azure OpenAI, Blob
CDP data lakehouse
Kafka streaming ingestion
ELT into warehouses
RPA + agentic workflows
Bring your own LLM, vector DB, catalog
Health plans, large insurers, retail, utilities, manufacturing, and AdTech teams use InsightRAG to put production RAG inside their environment.
Member-policy Q&A, claims runbook retrieval, and clinical-policy search — with HIPAA-aligned governance.
Common failure modes across deployments — and the architectural patterns we baked into the platform so you don’t hit them.
Predictable budget, hourly flexibility, or pay-as-you-go credits. Same product, different commercial fit.
Agreed scope, agreed price, agreed timeline. The right fit when you know what you want and need budget certainty.
Pay for engineering hours used. Best for evolving scope, exploration, or augmenting your team on a specific initiative.
Credit pool drawn down across multiple workstreams — ingestion, retrieval tuning, evaluation, advisory. No use-it-or-lose-it.