AIngest & Control
1SOURCE
Customer Service
Text Logs
high-volume conversational logs
2BUILD
Project Build
3STAGE
Storage
4ORCHESTRATION
Distributed
Processing Control
dispatch
BParallel Execution Plane
AI Workspace Cluster · Kubernetes
AUTO-SCALE · N NODES
SCHEDULER · FAN-OUT
Executor Pods · NLP Pipeline
SCALE · N ACTIVE
POD_01RUNNING
01 Text Cleansing
02 Keyword Extract
03 Translation (LLM)
04 Sentiment
Project WorkspaceEXECUTOR PODS 1
POD_02RUNNING
01 Text Cleansing
02 Keyword Extract
03 Translation (LLM)
04 Sentiment
Project WorkspaceEXECUTOR PODS 2
PROCESSING
POD_NRUNNING
01 Text Cleansing
02 Keyword Extract
03 Translation (LLM)
04 Sentiment
Project WorkspaceEXECUTOR PODS N
Data Pods · Persistence Layer
MIRROR · N SYNCED
DATA_01CACHE + RDB
Cache
RDB
DATA_02CACHE + RDB
Cache
RDB
DATA_NCACHE + RDB
Cache
RDB
collect
CAggregate & Deliver
5REDUCE
Aggregation
& Validation
6SINK
Storage
7OUTPUT
Structured Dataset
for Analytics
analytics-ready · queryable
100s+documents
PARALLEL THROUGHPUT
3X+
Performance Benefit
Integrated LLM models and Human QA run on virtual processing servers that scale by adding VM machines on demand, enabling hundreds of large documents to be processed in parallel with faster turnaround and consistent quality.
Virtual Server Scale
Auto-scale across virtual servers to handle surges instantly
High Throughput
Process hundreds of documents simultaneously with maximum speed
LLM + Human QA
AI speed combined with human QA for accuracy you can trust
Enterprise Reliability
Stable, secure, and built for mission-critical workloads