Designed for Amazon Bedrock & Distributed GPU Clusters

Autonomous Multi-Agent Orchestration & Enterprise Generative Video Infrastructure

Turn enterprise intent into coordinated software workflows and brand-consistent visual content. Two purpose-built engines. A shared foundation for control, context, and scale.

Explore the Architecture
IN DEVELOPMENT · ENTERPRISE PREVIEW INQUIRIES OPEN
DAOCALM / CONTROL PLANECONCEPT PREVIEW
swarm.enterprise / python8 SIMULATED AGENTS
AGENT_01
Planner
DECOMPOSING
AGENT_02
ChromaDB RAG
RETRIEVING
AGENT_03
Code synthesis
GENERATING
AGENT_04
API contracts
COMPOSING
AGENT_05
Test runner
VALIDATING
AGENT_06
Policy checks
REVIEWING
AGENT_07
Build runtime
ASSEMBLING
AGENT_08
Orchestrator
COORDINATING
execution.traceILLUSTRATIVE / NO NETWORK CALLS
◇ Planned backend: AWS · Bedrock / Anthropic Claude

Illustrative interface. No live inference, customer data, or measured performance.

THE PLANNED
TECHNOLOGY FOUNDATION
Amazon BedrockAmazon ECS / DockerPython AgentsChromaDBGPU Pipelines
01 / The platform

Two engines.
A new operating layer.

DAOCALM is developing reusable enterprise AI infrastructure for software workflows and generative media, with dedicated deployment options.

ENGINE / 001 SOFTWARE & WORKFLOW INTELLIGENCE

Daocalm Nexus™

Autonomous Multi-Agent Software & Workflow Engine

A platform in development for turning complex enterprise requirements into coordinated, reviewable software workflows. Containerized Python agents are designed to share grounded context while working in isolated execution environments.

  • 8+ concurrent agents as a target architecture, with bounded task queues
  • ChromaDB vector retrieval for repository-aware RAG
  • Long-context code synthesis with automated test and review gates
  • Dedicated Enterprise Deployment in a customer-approved cloud
Python runtimeContext-aware RAGHuman approval gates
NEXUS / EXECUTION TOPOLOGYREFERENCE DESIGN
PLAN / 01CODE / 03TEST / 05BUILD / 07RAG / 02POLICY / 06
NEXUS STATEORCHESTRATION
ISOLATED CONTAINERSSHARED TASK CONTEXT
runtime: python / docker
reasoning: Amazon Bedrock · Anthropic Claude
memory: chromadb / tenant-scoped retrieval
release: test → human review → approved deploy
ENGINE / 002 MULTIMODAL PRODUCTION INTELLIGENCE

Daocalm CineSynth™

Enterprise Generative Video & Multimodal Synthesis Pipeline

A configurable media engine in development for repeatable commercial content production. Translate a creative brief into a node-based diffusion workflow, with visual identity controls and a temporal consistency graph.

  • Node-based scene planning, conditioning, rendering, and export
  • Brand asset references, palette controls, and continuity checks
  • Queued API rendering with 4K delivery as a configuration target
  • Private pipeline configuration for enterprise brand environments
Node-based workflowsBrand conditioningTemporal consistency
CINESYNTH / VISUAL WORKSPACECONCEPT FRAME
CONSISTENCY GRAPH00:00 → 00:12
SEMANTICSDIFFUSION SEQUENCEREVIEW & EXPORT
input: brief + authorized brand references
graph: semantic → temporal → render → review
compute: separate GPU rendering workers
output: configured formats / subject to model limits

Both engines are in development. Features, concurrency, deployment options, and output specifications are design targets, subject to validation and a written pilot agreement. No production availability or benchmark is represented here.

02 / Cloud architecture

Designed for enterprise.
Grounded in AWS.

A reference architecture that separates model reasoning, application execution, retrieval, and GPU rendering.

Planned for AWS Cloud Infrastructure, with Amazon Bedrock (Anthropic Claude foundation models) for multi-agent reasoning, a separate orchestration layer for workflow state, and scoped infrastructure for enterprise security isolation.

DAOCALM / PROPOSED ENTERPRISE DATA PLANEREFERENCE ARCHITECTURE · IN DEVELOPMENT
Amazon ECS / DockerPython agent containers
Task queues & workflow state
Vector DatabasesChromaDB retrieval
Tenant-scoped knowledge context
Amazon BedrockAnthropic Claude foundation models
Planning · reasoning · code synthesis
QUOTA-AWARE INFERENCE GATEWAY
GPU Render WorkersSeparate diffusion workloads
Queued video synthesis
Enterprise BoundariesScoped identity & access
Private storage & audit events
Least-privilege IAMEligible prompt cachingBudgeted token queuesEncryption by design

Isolation is a deployment decision.

Plan tenant-scoped retrieval, role-based access, and separate execution boundaries. Dedicated environments can be scoped to a customer-approved AWS account and network.

Reuse context with intention.

Use Bedrock prompt caching where the selected model and Region support it. Keep reusable prefixes stable and measure cache behavior; savings and cache hits are not guaranteed.

Scale within approved capacity.

Use bounded concurrency, per-tenant budgets, retry backoff, and usage telemetry. AWS model access and quota increases require separate approval; this website grants neither.

Security, before scale.

Planned controls for accountable enterprise operations. Implementation and any commitments will be documented per deployment.

Scoped tenant accessEncryption in transit & at restHuman release approvalConfigurable data retention

This static website does not run the proposed AI backend. Architecture diagrams describe development plans, not an existing AWS deployment. No AWS partnership, certification, or independent security audit is claimed.

03 / Planned subscriptions

An operating model
for your next stage.

Proposed monthly plans for the platform launch. Discuss fit and availability before committing.

Growth Tier

PLANNED

For teams exploring repeatable AI workflows.

$299/ month

PROPOSED INCLUSIONS
  • Standard multi-agent API access
  • 10,000 video rendering credits / month
  • Shared vector infrastructure with tenant-scoped access
  • Standard workflow configurations
  • Usage visibility and budget controls

Preview inquiry only. No payment is collected on this website.

Enterprise Custom

DEDICATED

For enterprise-specific architecture and deployment.

Custom Pricing

SCOPED BY AGREEMENT
  • Enterprise-specific software architecture
  • Custom brand AI video generation pipelines
  • Private cloud or on-premises components
  • 24/7 support and SLA options by contract
  • Deployment, retention, and integration planning

Bedrock reasoning requires access to AWS services. Local components do not make Claude an offline model.

All prices are proposed in USD. Launch availability, taxes, capacity, overages, rendering-credit consumption, and billing terms will be specified in a written agreement before purchase. Rendering credits are planned platform units, not AWS promotional credits, seconds of footage, or a fixed video count. No automatic billing or paid subscription is activated here.

Bring your most complex workflow.

Let’s define the architecture, deployment boundaries, and a practical first pilot.