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 — 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

03 — 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

04 — 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

Presidio + spaCy NER redacts sensitive data before it ever reaches an LLM.

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.

Ask about compliance →

05 — 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.