Brittle chains
Glue accumulates faster than understanding.
Triggers, functions, spreadsheets, and notifications become an invisible operating system nobody fully owns.
Product 02 · Quantum Workflows
Give agents a workflow they can actually run.
Connect agent decisions, deterministic rules, business actions, and human approvals in a visual workflow—then keep every deployed version and run observable.
Working product Configured around the operating context, systems, and controls of each engagement.
TriggerWebhookPOST /orders
AI agentClassify intent3 tools · grounded
DecisionRoute by tag3 branches
ActionNotify opsSlack · #orders
ActionUpdate recordCRM · order state
The automation trap
A quick automation breaks when the work becomes important.
AI as an add-on
A model call is not an operating workflow.
AI needs tools, context, constraints, review paths, cost visibility, and predictable behavior around it.
Missing receipts
Changed logic and failed runs disappear.
Without versions, run history, retry behavior, and visible state, automation remains difficult to trust.
The product
See every step. Keep every run.
Quantum Workflows composes triggers, decisions, transformations, actions, sub-workflows, and agent steps as a readable graph.
Each node has an explicit contract. Each deployed version is preserved. Each run produces an operational record teams can inspect and improve.
What the runtime provides
Build the flow. Give agents tools. Keep control.
Visual composition
Build readable workflows from triggers, control flow, transformations, actions, and reusable sub-workflows.
- Events, schedules, and webhooks
- Conditions, branches, and joins
- APIs, code, and business actions
AI as a governed step
Give an AI node defined tools, retrieval context, provider choice, cost tracking, and the same execution rules as every other step.
- Tool-enabled agents
- Knowledge retrieval
- Human review paths
Operational runtime
Version workflows, observe node-level execution, handle failures deliberately, and preserve a reviewable run history.
- Immutable versions
- Retries and failure queues
- Run and cost visibility
Workflow vocabulary
Everything an agent needs to move the work.
Triggers
Domain events, schedules, and inbound webhooks.
Control flow
Filters, switches, forks, joins, sequences, and rate guards.
Transformers
Map, enrich, look up, validate, and restructure data between steps.
Integrations
First-class business actions plus HTTP, code, and extensible tool interfaces.
AI and retrieval
Provider choice, tool calling, grounded knowledge, traces, and cost records.
Workflow patterns
Sub-workflows, callbacks, delays, quotas, persistent state, and replay.
Production discipline
Know what ran, changed, and failed.
Versioned. Active runs keep the logic they started with while teams safely prepare the next version.
Observable. Inputs, outputs, decisions, timing, and AI consumption can be attached to the run instead of scattered across logs.
Resilient. Retry, idempotency, failure handling, and replay are designed as workflow behavior—not left to luck.
Product boundary
Built once. Deployed around your systems.
Product foundation
Visual graph composition, workflow contracts, AI-enabled steps, versioned definitions, run history, and resilient execution patterns.
Configured for the context
Events, integrations, credentials, rules, knowledge, review paths, quotas, hosting, and operating ownership.
Not the right fit
A simple one-step automation that an existing tool already handles well, or an ungoverned autonomous process with no accountable owner.
Bring us one job worth improving