For enterprises · early access

12–18 months of AI infrastructure. Compressed to days.

Loom Studio is a low-code platform for production-grade AI products in regulated industries, a compliance-ready backend with REST API, audit logs, and resilience, built in from day one.

EARLY ACCESS

enterprise pilot

$ what we're building

// underwriting, claims, KYC, prior-auth, contract review

> visual builder, not a framework

✓ export as a self-contained Python project. No lock-in.

Request early access →

Enterprise pilots opening in regulated verticals · no public trial yet

01. Diagnosis

The gap isn't the model

Building an enterprise AI product means mastering an unreasonably wide stack, all at once.

What you'd have to build What it actually takes

LLM orchestrationMulti-agent topologies, fallback routing

Document ingestionExtraction pipelines, structured output

CompliancePII/PHI redaction, audit trails, HIPAA/SOC 2

DeploymentVersioning, rollback, REST API provisioning

70% of enterprise AI initiatives never reach production (Gartner)

$139B agentic AI market by 2034, 40.5% CAGR

40% of enterprises adding AI agents by 2026 (Gartner)

171% average ROI reported on enterprise agentic AI deployments

Market figures: Gartner, industry agentic-AI market sizing. The gap is not model capability: it's the platform layer beneath it. Loom is that layer.

02. Architecture

Built like infrastructure, not a prototype

Every Loom product inherits the same production-grade foundation. Click a layer to see what it handles.

Documents, databases, REST APIs, SharePoint. New sources plug in without touching the rest of the pipeline.

Pick from a production-tested tool library, or connect external tools over MCP. No custom glue code.

Automatic fallback routing, retry logic, and token budget limits keep pipelines running when a single model call doesn't.

Every result is validated against your schema before it reaches your application. No parsing raw model text.

Multi-agent pipelines run concurrently and recover from missing tools or failed steps without human intervention.

Branching, parallel steps, multi-agent coordination: configured visually, not hand-coded per use case.

Real-time token streaming to your app, plus pause-and-resume approval workflows for human review.

03. How it's built

Seven steps, one guided studio

No AI engineering expertise required. The builder handles orchestration, prompt authoring, and schema design.

1. Product Definition Name, type, metadata: extraction, decision, RAG, triage, or custom

2. Schema Designer Visual data contract, auto-generated as Pydantic models

3. Pipeline Builder Drag-and-drop ingestion, extraction, tool calls, branching

4. Agent Configuration Single or multi-agent topology, tool selection, context sizing

5. Prompt Studio Structured authoring, template library, Monaco override

6. Rules Designer Decision logic as structured JSON, identical in runtime and exports

7. UI Composer Operator interface, branding, HITL toggle, export formats

04. What you get

A backend, not a workflow

Every deployed product ships with a production API, ready to call from day one.

Auto-provisioned REST API Submit jobs and fetch results through a standard API generated for every product. No API design work.

Run Monitor Live and historical job status, retry controls, and failure-rate visibility out of the box.

Human-in-the-loop review Accept, edit, or reject AI outputs from a built-in review queue, with a full audit trail.

Webhook callbacks Push approvals and job completions to your own systems the moment they happen.

05. Verticals

Built for regulated industries

Where a wrong answer isn't a bad UX: it's a compliance incident.

Industry Use cases

InsuranceUnderwriting engines, claims assessment, property risk scoring

HealthcareEligibility assessment, medical record extraction, prior auth

Financial servicesCredit decisions, compliance assessment, KYC automation

LegalContract review, clause extraction, risk identification

LogisticsRouting optimization, risk assessment, cargo documentation

Extraction Decision RAG Custom

Four product types, one builder. Pick the shape that matches your use case.

06. Rigor

Tested before it ships

The studio is the test environment: pipelines run for real before anything deploys.

Trace Viewer See every prompt, tool call, and validation result behind a run. Nothing is a black box.

Eval Suite Batch-test against labeled samples. Accuracy, latency, and cost, measured before go-live.

Test Harness Run the full pipeline against sample inputs without deploying. Same output production would give.

07. Compliance

Compliance you don't have to build

Every product ships with the controls regulated buyers ask for on day one, not roadmap.

PII/PHI redaction

Sensitive data is redacted before it ever reaches an LLM provider.

Immutable audit log

Append-only hash-chain, 6-year retention, SIEM export. HIPAA and SOC 2 aware.

EU AI Act classification

Automated risk tier assignment: prohibited, high-risk, limited-risk, minimal-risk.

PII/PHI Redaction Built-in

EU AI Act Risk Tiers Built-in

Immutable Audit Log Built-in

JWT + RBAC Access Control Built-in

SOC 2 Type II In progress

HIPAA In progress

Ask about compliance →

08. Positioning

Not a workflow tool. Not a framework.

Loom occupies the gap between the two.

Workflow automation Connects existing apps. No LLM orchestration, no schema validation, no multi-agent coordination.

Code frameworks Requires deep AI engineering expertise. Produces code, not a deployable product.

Loom Studio Configure, test, and deploy a production AI backend. No framework expertise, no vendor lock-in.

09. No lock-in

Leave whenever you want. Take the code with you.

Loom is not a workflow builder you're chained to.

Loom-hosted runtime Docker export Full Python project export

Export the entire product as a self-contained FastAPI + Docker project. No proprietary runtime dependency.

10. Get started

Two ways in

No public trial yet; pilots are hands-on by design.

Self-serve early access Get studio access and evaluate Loom against your own use case. Request access →

Co-build pilot Work directly with our team to scope and ship your first product. Talk to us →