Execution is not the default. Every prompt is evaluated, classified, and policy-checked before anything runs.
From output to system. The control layer sits between AI and action — always independent, always auditable.
Structure before prompt. The architecture enforces accountability before the model ever executes.
The architecture is designed to support secure environments, reduce system drift, and enable consistent, auditable AI development. It logs prompts, tracks iteration, and creates accountability in AI agents.
This isn't just a tool — it is a system for how AI actually works.
Early Access
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Prompt Ledger is in controlled early access. We are onboarding enterprise teams, compliance leads, and AI governance practitioners ahead of general availability.
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Prompt Ledger
Built to protect your brand.
Understated. Precise.
Watch with sound
6
Sequential security gates before execution
3
Provisional patents filed May 2026
0
Prompts stored outside your audit log
∞
Audit log retention — your data, always
01 —
Execution is not the default.
Every AI-generated output passes through six independent validation gates before it reaches your systems. The model does not control execution. The control layer does.
02 —
Every prompt. Every decision.
Your audit log captures the complete decision pathway for every request — successful, rejected, or flagged. Attributed to the named user who submitted it. Immutable. Exportable.
03 —
Your data. Always yours.
Your prompt data is never used for model training. Never shared. On cancellation, your complete audit history is exported to you before access is revoked. No exceptions.
Prompt Ledger is AI governance infrastructure for organizations deploying large language models at scale. It enforces policy, logs every decision, and creates an immutable audit trail — before execution, not after. Three provisional patents filed. Enterprise-ready architecture. Controlled early access.
The Problem
AI is executing without governance.
Organizations are deploying LLMs across legal, financial, compliance, and customer-facing workflows with no deterministic control layer between model output and system action. Existing tools address content moderation at the input layer or output review after the fact. Neither approach creates the sequential, policy-enforced execution gate that enterprise AI governance requires.
The EU AI Act, SEC guidance on AI in financial services, and emerging enterprise procurement requirements are converging on a single need: auditable, policy-controlled AI execution with attribution to named users and immutable logs. No commercially available product addresses this specifically.
The Solution
Six-gate pre-execution control. Patent pending.
Prompt Ledger positions an independent control layer between AI model output and system execution. The AI model does not determine execution. The control layer does.
GATE 01
Injection Scan
Hugging Face fine-tuned classifier detects prompt injection, jailbreak patterns, and adversarial inputs. Fails closed — scanner unavailability blocks execution.
HF Inference API
GATE 02
Intent Classification
Structured intent extracted independently of the AI model. Financial, legal, and customer-facing intents auto-elevated to High risk classification.
Classifier
GATE 03
Schema Validation
Structural and logical integrity verification. Malformed requests rejected before any AI call. No partial data written on failure.
Serverless
GATE 04
Policy Engine
Institution-configured rules evaluated in priority order. Restrict by role, enforce limits, require approval workflows for high-risk classifications.
Rules Engine
GATE 05
Claude Execution + Sycophancy Scan
AI model invoked only after all gates pass. Output simultaneously scanned for sycophancy and manipulative patterns before return to user.
Anthropic API
GATE 06
Immutable Audit Log
Every request — successful or rejected — written with append-only constraints at database level. Attributed to named seat. 12-month retention. CSV/JSON export.
PostgreSQL
Market
The AI governance market is being mandated into existence.
Enterprise AI deployment is accelerating faster than governance frameworks. The EU AI Act (effective August 2026) imposes binding audit and traceability requirements on high-risk AI systems. US financial regulators and the SEC have issued guidance requiring AI model risk management. Enterprise procurement teams are now requiring AI governance documentation before approving LLM vendor relationships.
$6.8B
AI Governance market by 2028 (Stanford AI Index 2026)
73%
Enterprises cite AI auditability as top deployment barrier
Aug 2026
EU AI Act enforcement begins — audit requirements
Business Model
SaaS subscription by seat and prompt volume.
Monthly and annual subscription tiers with 20% annual discount. Usage-verified refund model — refunds calculated on prompt consumption, not elapsed time. Prompt top-up packs as supplemental one-time revenue. Enterprise contracts from $1,200/month with dedicated onboarding and SLA.
Tier
Users
Prompts/mo
Monthly
Annual
Margin est.
Solo
1
200
$79
$758/yr
~91%
Team
25
2,000
$299
$2,870/yr
~92%
Organization
100
10,000
$799
$7,670/yr
~90%
Enterprise
Contract
Custom
From $1,200
Custom
~85%+
Gross margin estimates based on Anthropic API cost of ~$0.01/prompt at current Sonnet 4.6 pricing. Infrastructure cost ~$10–20/month on Railway + Vercel. Margins improve at scale.
Intellectual Property
Three provisional patents filed May 4, 2026.
#64/057,163
System and Method for Pre-Execution Control of AI-Generated Outputs Using a Sequential Multi-Gate Validation and Policy Enforcement Architecture
PATENT PENDING
Filed 05/04/26
System and Method for Immutable Audit-First Data Attribution and Per-User Prompt Traceability in Multi-Tenant AI Governance Platforms
PATENT PENDING
Filed 05/04/26
System and Method for Pre-Execution Policy Enforcement in Agentic Artificial Intelligence and Automated Tool-Use Pipelines
PATENT PENDING
Technical Architecture
Production-grade. Enterprise-deployable.
Frontend
React / Vite · IBM Plex Mono Deployed on Vercel
Backend
Vercel Serverless Functions Node.js · REST API
Database
PostgreSQL on Railway Append-only audit constraints
AI Layer
Anthropic Claude API claude-sonnet-4
Security Scanning
Hugging Face Inference API ProtectAI injection model · distilroberta sycophancy
EU AI Act — audit-ready architecture SOC 2 — 12-month target
Founder
Lara Mueller is a Swiss-American technologist and founder with enterprise experience spanning Oracle (present during the Sun Microsystems acquisition), Apple, and Zurich Life. She has architectural and exhibition credits including a collaboration with Pipilotti Rist on the Swiss Expo in Lucerne, and NGO work with Syrian refugees in Amman, Jordan. She is a published children's book author and holds strong convictions about digital rights, open infrastructure, and the democratization of AI.
Prompt Ledger is one of five active products in the Vela Protocol ecosystem alongside Velcro Wallet (non-custodial AI-powered crypto and fiat wallet), NeuralPulse (weekly AI publication), velcro.dev (investor hub), and Hookloop (stock trading platform, in development).
Founder Statement
"This is AI built as it should be."
Clear. Intentional. Control without the noise.
Request a conversation.
We are in controlled early access and are selectively onboarding enterprise partners, strategic investors, and governance practitioners. Access keys are issued by invitation. Deck and technical documentation available under NDA.