Product
One platform for the work between your systems
Most operational work lives in the gaps — the handoffs between a form, a warehouse, a model and a person who has to decide. Forge gives that work a home: a typed workflow, an owner, a version history and a measurable cost.
What Forge actually does
Forge takes a process that currently runs on inboxes, spreadsheets and tribal knowledge, and turns it into a versioned pipeline. Each step is explicit. Each run is inspectable. Each decision — automated or human — leaves a trace.
- Explicit
- No hidden cron jobs. Every step is declared.
- Versioned
- Diff any two revisions and roll back in one click.
- Measured
- Cost, latency and accuracy attached to each step.
forge / builder — invoice-intake
- 01Receive documentTrigger
- 02Validate schemaRule
- 03Extract line itemsIntelligence
- 04Match purchase orderRule
- 05Human reviewQueue
- 06Write to ledgerAction
Automation
Long-running processes that survive reality
Real business processes wait on people, rate limits and third-party outages. Forge workflows are durable: they pause for days, resume exactly where they stopped, and retry with backoff instead of dropping work on the floor.
- Durable execution with automatic checkpointing
- Branching, parallel fan-out and conditional joins
- Idempotency keys so a replay never double-charges
- SLA timers that escalate before a deadline, not after
forge / runs
Intelligence
Models as steps, not as magic
An intelligence step is just a typed function with a prompt, a schema and an evaluation set. Because the contract is explicit, you can swap models, compare them on your own data and pin the one that wins.
- Structured output validated against a schema before it moves on
- Retrieval over your own indexed sources with citations
- Confidence thresholds that route uncertain work to a person
- Offline evaluation runs against a labelled golden set
forge / evaluations
Cost per run
$0.041
Accuracy vs review
96.7%
Integrations
Connected to the systems that hold the truth
Forge does not want to be your database. It reads and writes through typed connectors, holds scoped credentials in a managed vault, and tells you loudly when an upstream schema changes.
- Warehouse, object storage, queue and HTTP connectors
- Scoped, rotatable credentials — never a shared admin key
- Schema drift detection with a failing check, not a silent null
- Outbound webhooks with signing, retry and replay
forge / connections
Analytics
Operational numbers, not vanity numbers
Every run emits structured telemetry. You can answer the questions that actually get asked in a review: what did this process cost last month, where did it get slow, and which step is producing the errors.
- Cost and latency attributed per step and per model call
- Throughput and queue depth with historical baselines
- Accuracy tracked against human corrections over time
- Exportable to your own warehouse for further analysis
forge / analytics
Cost per run
$0.041
Accuracy vs review
96.7%
Collaboration
Operators and engineers in the same workspace
The people who understand the process are rarely the people who can deploy it. Forge gives both a real seat: engineers work in code and CI, operators work in the console, and both edit the same versioned definition.
- Draft, review and publish states with named approvers
- Comments anchored to a specific step revision
- Review queues with full run context and one-click correction
- Change history readable by someone who was not in the room
forge / activity
R. Iyer published invoice-intake v14
2mSystem escalated run_9f2199 to review
9mN. Berkoff approved rule change in matching
41mSystem detected schema drift on erp.purchase-orders
1hH. Lindstrom corrected 3 runs in the review queue
2h
Security
Governance that does not slow the build
Access control, secret handling and audit are part of the runtime rather than a layer bolted on afterwards. See the full detail on the security page.
- Role-based access down to a single workflow
- Secrets held in a managed vault, never in a step definition
- Immutable audit events for every publish, run and override
- Configurable retention and residency per workspace
Outcomes
What teams report after the first quarter
Illustrative demo figures written for this template. Replace them with your own measured results.
- Typical first workflow in production
- 6 weeks
- Runs completed with no human touch
- 78%
- More work handled per operator
- 3.4×
Demo engagement average
Illustrative figure
Illustrative figure
Next step
Bring a process, leave with a plan
Pick the workflow that costs your team the most hours this quarter. We will map it end to end and show you exactly which steps Forge can take over.