Connect supported AI-powered tasks to defined business workflows with clear steps and configurable controls. Available actions, fallback options, and execution behavior depend on the selected service and its configuration.
Reduce repetitive work by using AI to help organize information, prepare business content, and coordinate supported workflows. Available automations and integrations depend on the selected product and configuration.
Use configured controls to help manage AI workflows and usage. Data safeguards, cost controls, regional handling, and regulatory responsibilities depend on the services selected and the way they are configured; this does not by itself guarantee regulatory compliance.
Connect supported AI services and business tools through a software layer designed to simplify access to AI capabilities. You can build on existing services without developing your own AI models; compatibility depends on available APIs, permissions, and configuration.
Configure AI workflows with data-handling practices appropriate to the use case. Processing, retention, and privacy protections depend on the implemented platform controls and the terms and settings of connected service providers.
Connect supported business systems to AI-powered workflows through available integrations and configured data flows. Compatibility depends on each system’s API, permissions, and integration requirements.
Upstream Infrastructure & Alignment
Swarmic Substrate is designed to connect selected AI providers and business tools through configurable workflows. It aims to help organizations use AI capabilities without building or operating their own models. Available integrations, routing options, governance controls, and data-handling features depend on the providers connected and the capabilities implemented.
[ DATA HANDLING NOTICE ] Available data-handling controls depend on the selected services, connected providers, and implementation. Review provider terms, account settings, and applicable agreements before processing customer data. Available isolation, encryption, data residency and regulatory controls depend on selected providers, service configuration and applicable agreements.
Select a workflow profile to explore routing, logging and pipeline stages.
ORCHESTRATION ARCHITECTURE: Explore node relationships and workflow paths. Deployment connectivity and authentication depend on configured infrastructure and access controls.
Turn business documents, structured information, and unstructured content into useful insights. Configured AI services can support information analysis, content classification, summarization, and research workflows, depending on the selected providers and implementation.
Connect AI-assisted tasks with practical business processes. Selected workflows can support document operations, customer communication, sales activities, meeting summaries, and administrative tasks, with configurable review and human oversight where implemented.
Bring compatible AI providers, business applications, and configured workflows into a unified operating environment. Integration options can be tailored to business requirements, subject to technical compatibility, provider capabilities, and implementation scope.
A configurable software layer can help connect supported AI services, business tools, and workflow steps. Exact capabilities depend on the selected services and implementation.
Define the sequence of actions, task requirements, and expected outputs within a configured workflow. This provides a clearer structure for AI-assisted business processes without requiring every task to follow the same execution path.
Coordinate task handoffs, processing stages, and workflow conditions across connected services. Execution behavior depends on the configured logic, available integrations, and capabilities of the selected providers.
Make workflow results and completion states easier to review. Configured review steps can support human oversight, exception handling, and decisions about what happens next. Actual controls depend on the implemented workflow.
Explore how configured AI services can be orchestrated across business workflows. Example scenarios include document and operations support, customer interactions, sales, market intelligence, and meeting workflows. Available capabilities depend on selected products, integrations and implementation scope.
Connect compatible AI services and configured business workflows through a common product experience. Supported integrations, data handling, and automation depend on the selected services and implementation.
Our core models process dense, unstructured data vectors to extract institutional knowledge.
Whether assisting specialists mapping semantic data histories or routing complex, multi-domain technical infrastructure,
multi-domain technical infrastructure, the platform handles it seamlessly.
We translate raw AI computation into clean, cross-platform web and mobile software.
For supported administrative, document, customer, sales, and workflow tasks,
configured AI workflows can support selected business tasks, subject to implementation and review.
AI connects advanced technical architecture with human expression.
We engineer high-engagement media generation pipelines, creative workflow layers,
and interactive companion systems designed to elevate everyday digital engagement.
Explore how Swarmic Substrate products can support business workflows across AI Office, operations, customer engagement, sales, intelligence and collaboration. Explore how each service can be configured and integrated. Production availability, integrations and performance depend on the agreed deployment scope.
Explore practical API request formats and code examples showing how business applications can connect to compatible AI services through an application integration layer. These examples illustrate integration patterns without implying that a live Swarmic API, credentials, encryption, compliance controls or production integrations are active here.
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Reliable AI workflows need controlled task execution, clear status tracking and structured exception handling.
Explore how an automation workflow can respond to a network timeout through retry evaluation, retry limits and escalation to manual review.
Select "EXPLORE RESILIENCE FLOW" to view the example workflow. This interactive workflow model explains retry and escalation logic. Live execution requires configured automation and connected services.
Interactive protocol editor. Modify the raw protocol manifest JSON directly inside the active IDE container below. The client-side parser will dynamically reconstruct the node topology visualization in real time.
REFERENCE PERFORMANCE VIEW — Metrics depend on the connected infrastructure, selected models and workload configuration.
Monthly subscription for an AI email assistant that helps organize incoming messages, draft replies for review, and support routine inbox workflows. Includes a monthly usage allowance; exact limits are defined by the applicable plan terms.
Monthly subscription for an AI document workspace that helps extract structured information from supported invoices, forms, and business documents. Includes a monthly usage allowance; exact limits are defined by the applicable plan terms.
Monthly subscription for an AI workflow suite designed to support document review and structured validation tasks. Includes a monthly usage allowance; exact limits are defined by the applicable plan terms. Feature availability and any priority support are subject to the applicable service terms.
Monthly Subscription. A company-wide AI workflow platform designed to coordinate tasks across departments, with centralized credit usage controls. Includes a monthly usage allowance; exact limits are defined by the applicable plan terms. Dedicated technical support and response targets are subject to the agreed service terms.
Monthly Subscription. A premium AI workflow platform designed for high-volume business operations, with configurable security controls and prioritized workflow execution. Includes a monthly usage allowance; exact limits are defined by the applicable plan terms. Dedicated support and response targets are subject to the agreed service terms.
Extend your business with purpose-built AI systems. Explore eleven focused AI workforces, compare their roles and enquire about the configuration that fits your operation.
Extract key information from business documents, organize records, and prepare structured outputs for recurring operations. Reference scope: 100 documents per month. Supported formats, integrations, and review steps are confirmed during setup.
Organize incoming customer enquiries, classify cases, prepare response drafts, and route requests to the right team. Reference scope: 500 cases per month. Channels, integrations, and human handoff rules depend on configuration.
Structure prospect information, support lead qualification, prepare follow-ups, and summarize sales activity. Reference scope: 250 leads per month. Data sources and CRM integrations are agreed for each setup.
Track selected market and competitor sources, summarize relevant developments, and prepare concise research briefs for business decisions. Reference scope: 5 configured sources. Coverage and update frequency depend on source access.
Review configured workflow status, surface reported errors, and flag exceptions that may need attention. Reference scope: 10 workflows. Monitoring depth, alert channels, and response responsibilities are defined during setup.
Turn supported meeting recordings or transcripts into summaries, decisions, action items, and follow-up notes. Reference scope: 300 audio minutes per month. Recording access, transcription, languages, and integrations depend on configuration.
Support security-policy organization, supplied risk-information review, and preparation of incident documentation for human review. This is not a managed security operations or threat-detection guarantee. Scope and integrations are defined before quotation.
Design voice-enabled workflows for customer enquiries, information collection, and routine interactions. Phone channels, speech services, languages, consent requirements, integrations, and usage costs are assessed for each deployment.
Coordinate selected AI services, models, and business workflows through a configured orchestration layer. Access controls, routing, approvals, integrations, and operating boundaries are scoped around the organization’s requirements.
Choose a focused development engagement or scope a connected AI workforce around your business operations.
Team, assess this market opportunity. Return evidence, risks and a launch recommendation.
I found three promising segments. Segment two shows the strongest demand.
Agreed, but acquisition cost is higher. We should test the opportunity before scaling.
Before execution, verify regional data rules, source permissions and retention requirements.
I recommend a four-week pilot, with routine tasks on a lower-cost model route.
The pilot has measurable targets. The market assumptions still need independent validation.
A workspace for designing and developing specialized AI agents, with roles, instructions and tool access defined for agreed use cases.
Structured evaluation of agent outputs, model choices, workflow quality and usage costs against agreed criteria.
A purpose-built AI agent for a defined business role, with agreed capabilities, tools, access boundaries and handoff rules.
A coordinated multi-agent solution with task planning, specialist roles, controlled handoffs and evaluation scoped to your workflow.
Connect agreed business systems, data sources and AI workflows, subject to technical compatibility and access approval.
Initial configuration of selected agents, workflows, permissions, review points and agreed operating procedures.
Agreed ongoing reviews, adjustments and improvement work for an implemented AI workforce. Coverage and response times are contract-specific.
A tailored control approach for agent access, task boundaries, human approvals and operational oversight across agreed workflows.
Important: AI Office plans retain their separately defined credit allowances. Custom development, implementation and consulting fees are billed separately. Actual credit consumption depends on the operation, selected AI model and processing requirements.
A measured capacity extension for lighter workloads and occasional peaks.
More room for recurring AI operations, connected workflows and growing demand.
Higher reserve capacity for sustained workloads and demanding operations.
Explore three configurable AI workflow patterns, from a focused service to a governed multi-agent flow. Deployment topology, resource usage and performance depend on connected infrastructure and service configuration.
A spatial model of coordinated AI infrastructure: the Orchestration Core directs work through an optical Model Router, connected business service modules and a configurable Data & Governance control plane.
Explore the proposed architecture for connecting AI services, business data and governance controls. Provider connectivity, customer-data processing, security controls, resource usage and billing depend on the agreed implementation and configured integrations.
TECHNICAL NOTICE
The interface presents configurable service architecture and example operating states. Production telemetry, integrations, security controls and deployment availability depend on the agreed product specification and connected environment.