The control layer for enterprise AI

AI proposes. Your code executes.
You stay in control.

Consuly keeps a human and an audit trail on every AI decision — for the data coming in (ContentAtlas) and the actions going out (Helm). Every step logged.

propose approve execute reverse
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Helm
Live
LLM proposal · JSON action · out
Refund customer $2,480
target MCP · payments.refund
Approved
within policy · logged
✓
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Engineered for highly regulated environments
SOC 2 Type II aligned
GDPR Compliant
EU AI Act Ready
SOX Aligned
ISO 27001 aligned
The Challenge

Your AI initiatives are only as good as the data feeding them.

C-Level leaders across industries face the same frustrating reality: they need AI to stay competitive, but their data is scattered across Salesforce, Excel, legacy databases, PDF reports, and countless other sources. The result? AI that hallucinates. Decisions made on incomplete information. And a growing concern about data privacy in an era of public AI tools.

38% Outright migration failure rate — The Bloor Group
14% Average cost overrun on mismanaged migrations — McKinsey
83% Migrations that fail or overrun — widely cited in the industry
This isn't just a technology problem—it's a leadership crisis. When you can't trust your data, you can't trust your decisions. And when you can't trust your decisions, you can't lead with confidence.

The Solutions

One model. Two surfaces. The loop is closed.

The same propose → approve → execute → reverse model governs both sides of your enterprise AI: the data coming in and the agents acting out.

→ In

ContentAtlas

AI-empowered ETL that governs every row of data from SAP, Salesforce, SQL, and Excel before it touches your production database. LLM-agnostic, zero-loss, full audit trail.

Explore ContentAtlas →
Out →

Helm

Control and audit layer for agentic AI. Every API and MCP call your LLM agents want to make returns as a structured JSON proposal first — gated and logged before it hits a real system.

Explore Helm →
Playground Demo

Transform Data with Simple Prompts

See how executives use natural language to map, validate, and transform enterprise data in minutes using their preferred LLM.

Video: ETL transformation using natural language prompts

The Lab

The lab behind the products.

Consuly is an applied AI research lab. We study how large language models consolidate, transform and manipulate enterprise data — and how to track, audit and manage every decision they make.

01

AI data consolidation

Reconciling one entity across systems that disagree with each other — schema drift, conflicting identifiers, duplicate records, units that don't match. What can a model resolve, what must deterministic code decide, and where exactly is the boundary?

02

AI data transformation

Turning documents written for humans into records a system can act on — contracts, tenders, invoices, reports. Extraction that cites the page it came from, and knows when to stop rather than invent a value.

03

AI data manipulation

Reshaping data at scale without silent loss. Currency, dates, phone numbers, addresses, hierarchies — the long tail of real-world formats that break naive pipelines.

Cross-cutting all three: how to track, audit and manage what a model does to your data. Every track runs into the same question — when a model proposes a change, what decides whether it happens, and how do you prove afterwards what it did? That question has one answer across everything we build: propose → approve → execute → reverse.

Read the research → The control model →
Enterprise Trust

Enterprise-grade security. Forward-thinking approach.

We built Consuly for companies that take data seriously. That's why we've designed every aspect of our platform with security, compliance, and sovereignty at the core.

Security & Compliance

  • Engineered to SOC 2 Type II controls By Design
  • GDPR, CCPA, and APAC regulatory frameworks supported Full Support
  • End-to-end encryption at rest and in transit Standard

Deployment Options

  • Dedicated private cloud environments Available
  • Hybrid configurations for maximum flexibility Available
  • Your data never touches shared infrastructure Guaranteed

Technology

  • Vendor-neutral architecture—never locked into a vendor Philosophy
  • Full API access and integration capabilities Standard
  • Continuous updates without disruption Architecture

Proof at Scale

  • 10M+ rows processed in stress testing Verified
  • 100+ separate Excel files reconciled into one clean output Production
  • Zero rows silently discarded — ever Architecture
  • Full rollback preserved on every run Guaranteed
Case Study

We don’t only write about a method. We ship one.

Offra is a live, commercially-priced SaaS that reads U.S. public tenders and pulls out every requirement, deadline, legal notice and mandatory document — traced back to the page it came from, and it marks what it cannot verify rather than inventing a value.

Built by the same lab, on the same principles as ContentAtlas and Helm.

Read the case study → Visit offra.cc ↗
Insights

Perspectives on data, AI, and leadership.

Featured Article

Governing MCP Tool Calls: Why AI Agents Need a Control Layer Before They Touch Production

A year ago, “AI risk” mostly meant a chatbot saying something embarrassing. The worst case was reputational. Today, the same models are wired into Stripe,...

By Philippe Dallaire — June 2026
View All Insights

Frequently Asked Questions

Common questions about the lab, the control model, and the products that came out of it.

Consuly is an applied AI research lab working on data consolidation, transformation and manipulation, and on how to track, audit and manage that data with LLMs. The products we ship are the result of that research agenda.

It is Consuly's four-step governance loop for enterprise AI. The LLM proposes an action as a structured JSON payload, deterministic rules approve or block it, only approved proposals execute, and every action carries a reversibility path — reversible, compensable, or gated and logged when it genuinely cannot be undone. Read the full model.

ContentAtlas is an AI-empowered ETL engine that governs every row of data from SAP, Salesforce, SQL databases and Excel files before it reaches your production database. It applies the propose → approve → execute → reverse model to data coming in.

Helm is a control and audit layer for agentic AI. Every API and MCP call your LLM agents want to make returns as a structured JSON proposal first, which Helm checks against deterministic versioned rules before gating and logging it. It applies the same model to actions going out.

ContentAtlas uses your own LLM API keys, so your data is processed through the provider you choose with zero data retention by Consuly. Enterprise customers can run in dedicated private cloud environments with end-to-end encryption. Consuly never stores or trains on your data.

Yes. Offra is a live, commercially-priced SaaS built by the same lab that reads U.S. public tenders and extracts every requirement, deadline, legal notice and mandatory document. Read the case study, or visit offra.cc.

Book a strategy session at cal.com/consuly. We will walk through your specific data or agent surface and scope what the control model would look like in your environment.

Ready to Start?

Stop choosing between AI velocity and systemic risk.

Book a 30-minute technical deep-dive and see how Consuly keeps a human and an audit trail on every AI decision — for the data coming in and the actions going out.

Schedule Your Free Demo