All the analysts you never had.
Numbers you can finally trust.
nandu turns the data warehouse you already have into an AI analyst you can trust. It runs the standing analyses your business needs and answers the questions in between.
nandu does two things
An AI analyst for your business data
The product. It runs on the warehouse you already have, handles the recurring reports and deep dives, and answers the questions in between.
Explore the platformAI adoption for engineering teams
Consulting and training for teams that build software, plus the agent infrastructure we use ourselves. We license it and set it up in your environment.
For engineering teams
Why Nandu
Built by e-commerce experts, for experts. We've managed 300+ brands across 23 markets, built Europe's largest Amazon agency (Factor-A, acquired by DEPT), and spent 20 years learning what actually moves the needle. Nandu is everything we wished existed.
Trusted by Industry Leaders
300+ brands. 10+ agencies. 80% time saved.
“The model gave us what we've been looking for — a data-driven way to prioritise our Perfect Digital Store investments.”
“With the implementation of Nandu into Remdash, our users now have easy access to root cause analyses and can automate their reporting with just one click.”
“Nandu's AI assistant has already saved us and our clients hundreds of hours and significantly improved the quality of our services.”
“In today's complex retail media landscape, you can only scale and deliver effective campaigns if you have an AI backbone like Nandu.”
“The ability to easily identify the root cause of a trend, as well as the assistant's holistic analysis, are both outstanding features.”
“Nandu provides our juniors with structured guidance, and the action recommendations in the brand context are pivotal.”
“Powered by Nandu, we're able to run deeper, channel-specific analyses across our data, faster and more precisely than ever before.”
“We rolled out Nandu to hundreds of brands in a very short time. What really stood out was how naturally it adapts to each user — juniors felt guided, seniors felt in control.”
“Nandu gave us the analytical depth we always wanted but couldn't justify hiring for. The 19% sales increase speaks for itself.”
“Before Nandu, we were constantly firefighting. Now we catch issues before they become problems. Expanding into 3 new markets with a team of five wouldn't have been possible.”
“7 hours of lively interaction. No one checking their phone. That says it all. It was inspiring, eye-opening, practical.”
Like a Senior Analyst Working 24/7
Maximize your e-commerce and marketing performance using AI-driven insights that understand your business context.
Why you can trust the numbers
The agent never writes SQL.
Anyone who has pointed ChatGPT at a database knows the feeling: ask the same question twice, get two different numbers. So we took SQL away from the model. It plans the analysis and interprets the results, and a semantic layer compiles every query. Same question, same number, every run.
No LLM in the SQL path
Every query is compiled from the semantic model. Run the same analysis next month and the number still matches.
Raw rows stay out of the model
The math runs as real code over the real dataset. The model reads results and writes the interpretation, so nothing gets estimated and nothing is capped by a context window.
Every analysis can be replayed
An analysis is a recorded pipeline. Open it to see how each number was produced, run it again, and it lands on the same answer.
Permissions live in the compiler
Each user's permissions are applied when a query is compiled. No clever prompt can talk the agent out of them.
Everyone is building agents that should one day act on the business. We started with the part that decides whether anyone will let them: numbers that hold up when you check.
It knows your business
Brief it the way you would brief a new colleague
Generic AI disappoints on business data because it walks in without context. It has never heard your metric definitions and has no idea what a good ROAS is in your category. In nandu, every tenant adds that knowledge in whatever form it already exists: glossaries, rules, the document that explains your KPI logic, the things you would tell a new colleague in week one. Corrections sharpen it further, so the analyst you have after six months is noticeably better than the one you started with.
How Nandu Solves This
Business Context Built-In
nandu knows your brand, goals, budgets, and competitors. You brief it once, the way you would brief a new colleague, and it analyses accordingly.
Multi-Agent Quality Assurance
Critic agents validate every output. Sanity checks prevent hallucination. Results you can trust.
European Hosted & Secure
ISO 27001 certified infrastructure. GDPR compliant. Your data stays in the EU. No training on your data.
Flexible Deployment
Nandu Cloud, your DWH, your LLMs, or on-premise. Choose what fits your security requirements.
Domain Expertise, Per Tenant
Amazon, retail media, marketing, or your own field. Expertise ships as per-tenant knowledge and procedures, never baked into the engine. Any domain comes in the same way.
Deterministic Tools
LLMs don't calculate. Nandu uses code interpreters, SQL, and Python for precise, reproducible results.
Who is Nandu for?
Find out how Nandu fits your organization and use case.
For Agencies
Scale your service offering with AI-powered analytics. Automate reporting, unlock deeper insights, and manage more brands with the same team.
Learn moreFor Brands
Instant clarity on what drives your performance: root-cause analysis, automated reporting, and recommendations tailored to your brand.
Learn moreFor Enterprise
Enterprise-grade AI analytics integrated into your existing infrastructure. From workshops to fully autonomous agent systems.
Learn moreGetting Started Is Easy
From first call to live insights in as little as 2 weeks.
Discovery Call
We learn about your business, data sources, and goals. We discuss the business case and expected ROI.
Connect Your Data
For standard Amazon APIs, connecting your accounts takes minutes. For custom DWH, we collaborate with your data team.
Configure Your Context
We set up your brand context, goals, budgets, and competitive landscape. This is what makes Nandu understand YOUR business.
Go Live & Iterate
Start getting insights immediately. We fine-tune the analysis quality together over the first weeks.
Our Services
From self-service analytics to enterprise AI consulting
AI Analytics Platform
Automated reporting, root-cause analysis, and AI-driven recommendations.
AI Workshops
Hands-on workshops to train your team on AI-powered analytics and automation.
Assessments
AI readiness audits and process assessments to identify automation potential.
ML & Forecasting
Marketing mix modeling, forecasting, and predictive analytics.
Enterprise Consulting
Custom agent development and sparring for enterprise-grade AI solutions.
Custom Development
We build production-grade AI systems. Data pipelines, custom agents, and integrations.
Real Results
View All Case Studies →
AI Workshop for eCommerce
“7 hours, no one checking their phone. Inspiring, eye-opening, practical.”
ML & Digital Shelf Modeling
“A data-driven way to prioritise our Perfect Digital Store investments.”
Quality at Scale
“Saved us and our clients hundreds of hours and significantly improved quality.”
80% Faster Analytics
“Root cause analyses with one click. What used to take hours now happens in seconds.”
Trusted by Industry Leaders
300+ brands. 10+ agencies. 80% time saved.
“We rolled out Nandu to hundreds of brands in a very short time. What really stood out was how naturally it adapts to each user — juniors felt guided, seniors felt in control. That made adoption easy and built trust across the entire team from day one.”
Nandu vs. the Status Quo
See how AI-powered analytics compares to manual work and generic AI tools.
| Manual Analysis | ChatGPT | Nandu | |
|---|---|---|---|
| Business Context | Limited | None | Deep |
| Root Cause Analysis | Hours | Shallow | Seconds |
| Multi-Channel Data | Manual merge | CSV upload | Connected |
| Reliability | Human error | Hallucination | QA agents |
| Scalability | Linear cost | Token limits | Near-zero marginal cost |
Common questions
What is Nandu?
Nandu provides AI-driven insights for Amazon Advertising, Seller, and Vendor performance, giving brand-specific recommendations and root-cause analyses that help you optimize your Amazon business strategy.
What kind of data does Nandu use?
Nandu offers out-of-the-box connections to Amazon's Advertising, Seller, and Vendor APIs. We can also connect to your own data warehouse or other APIs like market insights or weather reports. For new marketing channels like Google or TikTok, or e-commerce platforms like Walmart or Target, customized agents can be created.
What about AI accuracy?
Nandu's agentic structure minimizes hallucination and incorrect calculations by creating specialized agents for specific tasks. Critic agents monitor outputs, perform sanity checks, and act as gatekeepers. LLMs are restricted from performing calculations independently and use specialized tools like code interpreters.
How does onboarding work?
The onboarding process can be completed in days or weeks, depending on the number of data sources. For standard Amazon APIs, connecting your accounts is the first step. Next, updating the context and brand knowledge. Once set up, you can use Nandu via chat or define custom analyses and schedule reports.
Have a question that's not here? Let's talk.
Ready to Transform Your Business?
Join brands, sellers, and agencies who trust Nandu to optimize their performance and save thousands of hours with AI-powered insights.
30-minute call · We'll demo Nandu with your data · No commitment