Architecture
Regulatory-grade architecture built for production environments
Our reference architecture is designed for long-term operation in government and enterprise settings where security, oversight, and integration are non-negotiable.
This includes handling petabyte-scale data estates across streaming systems, video pipelines, enterprise records, and multimodal intelligence workflows with institutional-grade controls.
1. Data and system layer
Connects trusted internal datasets, records, and operational systems through secure connectors and policy filters.
2. Agent execution layer
Runs task-specific agents with bounded tools, deterministic routing, and review controls for high-impact actions.
3. Governance layer
Applies role policies, audit trails, and data-handling controls to support compliance and supervisory review.
4. Delivery layer
Exposes outcomes through internal applications, dashboards, and workflow systems already used by teams.
Large-scale data architecture
Redcaso architectures are built for high-volume, high-variety environments where operational systems generate continuous streams and large media footprints.
Petabyte-scale ingestion
Designed for high-throughput ingestion across transactional systems, event streams, document repositories, and large historical archives at petabyte scale.
Streaming and real-time signals
Supports event buses and streaming pipelines for telemetry, sensor feeds, and operational alerts with policy-aware routing and replay support.
Video and rich media workflows
Processes video, imagery, audio, and geospatial media through staged pipelines for indexing, summarization, policy checks, and downstream agent tasks.
Multimodal data normalization
Unifies structured, semi-structured, and unstructured data into governed semantic layers so agents can reason across text, tabular, media, and logs.
Implementation patterns for scale
- • Hot / warm / cold storage tiers for cost and performance control
- • Distributed indexing for retrieval over long-horizon archives
- • Partitioned processing jobs for large-batch and near-real-time workloads
- • Regional data residency boundaries for sovereignty and policy compliance
- • Model serving gateways with fallback and degradation controls
- • End-to-end observability across ingestion, orchestration, and decision outputs
Architecture principles
- • Assume complex legacy environments
- • Prefer composable architecture over monoliths
- • Apply governance at runtime, not just policy docs
- • Maintain traceability from input to action