01
Reporting tells you what happened
Dashboards, KPIs, MoM deltas. Useful. Not sufficient. They describe the past; they don’t explain it.
Data-driven.Results-focused.AI-powered.
We answer the questions your business can’t afford to get wrong.
Enlighten AI Labs is an enterprise AI analytics company. We build two AI products, Aria (the Human-AI Analyst) and Echo (the Analytics QA Engine), and deliver AI-powered analytics solutions for Fortune 500 enterprises across restaurants and QSR, retail, hospitality, automotive, healthcare, insurance, and technology.
The problem we solve
Your hardest questions
don’t have a dashboard.
These are the questions executives lose sleep over, and the questions descriptive reporting can’t answer.
Questions without an owner
- 01Is delivery cannibalizing on-premise?
- 02Are price increases paying for themselves?
- 03Is the loyalty program actually driving incremental revenue?
02
Correlation isn’t causation
Sales went up after the campaign launched. Did the campaign cause it? Most analytics teams can’t say. We can.
03
The decisions are getting bigger
Pricing, channel strategy, loyalty investment, AI rollouts. The bets are larger, the margins are tighter, and the cost of getting it wrong has never been higher.
AI Products
Tools for the agentic era of enterprise analytics.
Aria and Echo are agentic AI products built for the modern enterprise. Aria is a Human-AI Analyst that delivers expert analysis at the scale of the modern enterprise. Echo is an agentic Analytics QA Engine that runs three coordinated agents, Scout, Oracle, and Ranger, to validate the data underneath.
Aria, The Human-AI Analyst
Aria is built for the analyst of the future: Human-AI Analysts that are extraordinarily more effective than traditional analysts.
Agentic Orchestration
Context
Data
Insights
Validation
Echo, The Analytics QA Engine
Echo is the first agentic Digital Analytics Assurance platform. It transforms analytics validation from manual testing into strategic oversight.
Agentic Orchestration
Crawl
Validate
File
Resolve
── Solutions
When the question is bigger than a product.
Three solutions: AI Innovation Studio (custom agents and AI strategy), Customer Experience Analytics (causal measurement for growth decisions), and Intelligent Data Infrastructure (the foundation for AI-native analytics). In the enterprise, they only work when they work together.
01 / Studio
AI Innovation Studio
Where AI strategy becomes production systems.
What it means
We design, build, evaluate, and operate AI agents for the workflows that actually move the business.
Not demos. Not decks. Working systems connected to your data, tools, rules, and teams.
Where we help
- Find the highest-value AI opportunities and size the ROI
- Build agents, copilots, evals, guardrails, and orchestration
- Deploy into production, monitor performance, and improve with your team
02 / CXA
Customer Experience Analytics
AI-accelerated measurement for growth decisions.
What it means
We answer the questions behind pricing, promotion, loyalty, marketing, digital, and channel strategy with causal rigor and AI-powered speed.
Not another dashboard. A decision your leadership team can defend.
Where we help
- Incrementality, elasticity, attribution, LTV, churn, and segmentation
- AI-assisted modeling with human judgment where methodology matters
- Executive readouts built for finance, marketing, analytics, and the boardroom
03 / IDI
Intelligent Data Infrastructure
The data foundation for AI-native analytics.
What it means
We build the pipelines, customer data ecosystems, governance, and reporting layers that let AI systems reason over trusted business data.
More than organized. Usable by people, models, and agents.
Where we help
- Event data, ETL, CDP, warehouse, semantic layer, and BI architecture
- Governed data products designed for agents, analysts, and executives
- AI-ready systems built into the foundation, not bolted on later
Who we build for
For leaders accountable
to outcomes, not experiments.
The people who own the number and have to defend the call.
CDO · VP Analytics · Head of Insights
Analytics & Insights leaders
You own the insight function. You need a partner who matches your bar for rigor, not a chatbot bolted onto a dashboard.
CIO · Chief AI Officer · VP Data
Data & AI transformation leaders
You’re accountable for what AI actually delivers. You need a team that has done this inside the enterprise, not one that’s only talked about it.
CMO · CX Officer · Head of Loyalty
Marketing & CX leaders
You’re spending real money on loyalty, promotions, and channels. You need to know which dollars are actually working.
Why enterprises trust us
We’ve done this
work before.
Our founders previously co-founded Cognetik, the digital analytics firm acquired by Bain Capital. We’re back to build what comes next, a new operating model for enterprise analytics, with agents and AI at the core.
The track record
Cognetik, acquired by Bain Capital
Our founders previously co-founded Cognetik, the digital analytics firm acquired by Bain Capital. The category, the buyer, the work. None of it is new to us.
In production
Running inside the Fortune 500
Our products and solutions run inside some of the largest companies in the world. Procurement, security, governance. Already cleared.
The team
Senior teams, in the room
You get the people who’ve built this before, on every engagement. Decades of category experience, not a layer of junior consultants between you and the work.
── Industries we work in
QSR & Restaurants
Retail
Hospitality
Automotive
Healthcare
Insurance
Technology
QSR & Restaurants
Retail
Hospitality
Automotive
Healthcare
Insurance
Technology
Frequently Asked Questions
Questions
We Hear Most
Fast answers below. The real conversation happens on a call.
Enlighten AI Labs is an enterprise AI analytics company. We build AI products and deliver AI-powered analytics solutions for Fortune 500 enterprises. Our mission is to answer the questions our clients’ businesses can’t afford to get wrong. We work primarily with enterprises in restaurants and QSR, retail, hospitality, automotive, healthcare, insurance, and technology.
Aria is our Human-AI Analyst, an AI product built for the analyst of the future. Aria orchestrates context, data, insights, and validation, so a single Human-AI Analyst can deliver work that previously required a team. Aria runs on the customer’s existing cloud (AWS, Azure, or Google Cloud) and supports model choice across OpenAI, Anthropic, and Google.
Echo is our Analytics QA Engine. It transforms analytics validation from manual testing into strategic oversight, crawling reporting environments, validating outputs, filing issues, and tracking resolution. Echo integrates natively with Adobe Analytics, Google Analytics, Mixpanel, and other analytics platforms, and pushes findings to Jira, Asana, and other project management tools.
Aria answers business questions. Echo ensures the data behind those answers is trustworthy. Aria is the agentic analyst that delivers expert-level analysis to every decision-maker. Echo is the agentic QA engineer that validates the analytics tracking underneath. Many of our clients run both. Echo ensures the data is right, Aria turns it into decisions.
Aria runs a five-step agentic workflow. Context orchestration assembles business context. Insights planning maps the analysis. Data processing prepares and transforms the data. Insights orchestration coordinates across LLMs and tools. Trust verification confirms each insight through AI reasoning and data validation.
Echo runs three agents in sequence. Scout uncovers what to test by exploring the application like a user. Oracle validates incoming data against the data schema and measurement plan. Ranger creates detailed tickets with screenshots and reproduction steps, with human-in-the-loop approval before each ticket is filed.
Fortune 500 enterprises with complex customer bases and meaningful analytics maturity. Our work runs inside QSR and restaurants, retail, hospitality, automotive, healthcare, insurance, and technology. These are companies where pricing, loyalty, channel mix, and customer experience drive the P&L.
The high-stakes business questions that descriptive reporting can’t answer. Pricing and elasticity, promotional and campaign incrementality, loyalty program ROI, marketing attribution, customer churn and segmentation, channel strategy, AI rollout strategy, and the data foundation underneath all of it. We work where the decisions are large, the answers are contested, and gut feel is no longer good enough.
Senior leaders accountable to outcomes: CDOs, VPs of Analytics, CIOs, Chief AI Officers, CMOs, CX Officers, and Heads of Loyalty. The people who own the number and have to defend the call.
Most engagements start with our AI products. Aria and Echo deploy quickly inside enterprise environments and handle the highest-leverage analytics work out of the box. When the work sits outside the products, our solutions take over: AI Innovation Studio for custom agents, Customer Experience Analytics for the questions a dashboard can’t answer, and Intelligent Data Infrastructure for the foundation underneath.
Engagements run on a five-stage model. The customer scopes access and provides product or release context. Enlighten owns the test plan and configuration. Echo’s agents run validation and reporting. The customer approves outcomes. Two touchpoints in, validated insights out.
Our founder’s previous analytics company was acquired by Bain Capital. We’re back to build the next operating model for enterprise analytics, with agents and AI at the core.
Request a call at enlightenailabs.com, or write to connect@enlightenailabs.com.