Rigpa provides a cloud‑native platform that combines natural‑language processing and computer‑vision to extract structured, actionable information from text, PDFs, images, and video frames. It offers auto‑ML model generation, real‑time inference, and enterprise‑grade security, delivering normalized results through REST, Kafka, or storage connectors for integration with data warehouses and BI tools.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises generate massive streams of unstructured text and image data, but lack scalable tools to automatically extract structured, actionable information, resulting in manual bottlenecks and delayed decision‑making.
Solution
Rigpa delivers a cloud‑native machine‑learning platform that unifies natural‑language processing and computer‑vision capabilities into a single service. The platform ingests raw text, PDFs, video frames, and sensor images, then applies pre‑trained and auto‑ML‑generated models for entity extraction, sentiment scoring, object detection, and cross‑modal correlation. Results are emitted as normalized records that can be streamed into data warehouses, BI tools, or workflow engines via REST, Kafka, or S3 connectors. Transfer‑learning pipelines reduce model‑training cycles, while built‑in monitoring dashboards track accuracy, latency, and drift. End‑to‑end encryption, role‑based access control, and audit logging satisfy enterprise compliance requirements.
Target Audience
Primary customers are large‑scale enterprises in finance, healthcare, retail, and logistics that need to operationalize insights from text documents, social‑media feeds, and visual assets at speed.
Features
- Unified API surface for NLP (named‑entity recognition, summarization, intent detection) and CV (object detection, image classification, OCR) across multimodal inputs
- AutoML engine that automatically selects architectures, hyper‑parameters, and fine‑tunes models on customer‑specific datasets
- Scalable data ingestion pipelines with native connectors for Kafka, AWS Kinesis, Azure Event Hub, and batch S3/Blob storage
- Real‑time inference serving with GPU‑accelerated containers and auto‑scaling based on request volume
- Model governance suite offering version control, lineage tracking, and automated drift detection alerts
- Integration adapters for major data warehouses (Snowflake, BigQuery, Redshift) and BI platforms (Tableau, Power BI)
- Enterprise‑grade security: TLS‑in‑transit, at‑rest encryption, IAM‑compatible authentication, and detailed audit logs