Enterprise · Data Platform
Dataprocess Enterprise
BetaMulti-tenant AI data processing for 5 regulated verticals.
Dataprocess Enterprise is a production-grade AI data processing platform designed for organizations operating in regulated industries. It provides 12 configurable pipeline workers, bring-your-own-model (BYOM) support, and compliance frameworks baked into the infrastructure — not bolted on afterward.
View Live Product →5
Regulated Verticals Supported
12
Pipeline Workers
BYOM
Bring Your Own Model
Core Features
Compliance-First Architecture
HIPAA, FedRAMP, SOX, and FRCP compliance is built into the data model and processing layer — not a checkbox.
12 Pipeline Workers
Configurable processing workers handle ingestion, transformation, embedding, enrichment, and export at scale.
BYOM Support
Bring your own model — swap between Claude, OpenAI, Bedrock, or self-hosted LLMs without refactoring pipelines.
True Multi-Tenancy
Complete data isolation between tenants with per-tenant encryption keys, rate limits, and usage quotas.
pgvector Semantic Search
PostgreSQL with pgvector extension enables sub-second semantic search across millions of embedded documents.
Audit Trails
Every data access, transformation, and export is logged with tamper-proof audit trails for regulatory review.
How It Works
01
Configure Your Vertical
Select your regulated vertical and compliance requirements — the platform auto-configures data schemas and access controls.
02
Connect Data Sources
Ingest from S3, databases, APIs, or document uploads using built-in connectors and custom webhook endpoints.
03
Define Pipeline Workers
Configure your processing pipeline: parsing, chunking, embedding, enrichment, and export stages.
04
Query at Scale
Use the REST API or embedded SDK to run semantic queries, generate insights, and export compliant reports.