Make every business as data-intelligent as the world's best-run companies.
01The vision
An analyst beside every business user.
The best-run companies make decisions with data at every level, because they have the data teams to support it. We want every business to work that way, not just the largest ones.
In that future, anyone can ask a question about their business and get an answer they can trust, without SQL, tickets or waiting in someone else's queue.
A sales manager understands performance before the meeting.
A founder spots a trend before an investor asks about it.
An operations leader sees an issue before it becomes a problem.
02The problem we saw
Every question took a detour. Every decision waited.
Fragmented information. Databases, dashboards, spreadsheets and SaaS tools each hold part of the picture, and they rarely agree.
Missing context. The numbers live in one place. The plans, policies and reports that explain them live somewhere else.
The question-to-decision gap. A simple question becomes a ticket, a query, a dashboard and an interpretation before anyone can act.
I've seen the same problem in three very different companies.
How long one simple answer took
~4 hoursat a startup
~1 weekat a fast-growing scale-up
2–3 weeksat a global enterprise
And the questions were ordinary. What happened last quarter? Which region did best? Why are cancellations rising?
I've been the person asking, the person waiting, and, as a product manager, the person trying to understand why it took so much effort. We had plenty of data. What we didn't have was a quick way to understand it.
Why existing approaches weren't enough
DashboardsFixed in advance. They show what someone chose to measure months ago, not the question you have today.
BI tools and analystsPowerful, but business users have to learn SQL and data models, or wait in a queue for someone who has.
General AI chatbotsFast, but they don't know your business definitions, and checking where a number came from is up to you.
Sekhar S.Co-founder & CTO, Zenzo AI
The view from the systems side
I spent 15 years on the other side of that wait, building the data systems behind those questions in pharma, healthcare and retail.
In those industries, speed was never the only problem. Before anyone could share a number, we had to know who was allowed to see it, which definition it used, and where it came from. The data was there. Making it safe and consistent to share is what took people and weeks.
That's why the trust work is built into Zenzo from the start: read-only connections, permissions applied before the AI sees anything, sensitive columns masked, and every answer showing the query behind it.
So we set out to build something you could simply ask, and trust the answer.
Why we're called Zenzo
zen·zo
/ˈzen.zoʊ/ (n.) From data chaos, to clarity, to action.
ZENClarityZOMovement
Businesses don't have a shortage of data. They have data chaos.
Databases, dashboards, spreadsheets and tools, all saying slightly different things. What teams really need is clarity, and the confidence to move. We went through long lists, late-night debates and a few questionable ideas. But we kept coming back to Zenzo. Somewhere along the way it stopped being a name on a list and started feeling like the company we were trying to build.
Some things take their own time to find the right name.
04What we're building
One connected platform, built to be trusted.
We started as an AI data analyst and grew into a business intelligence platform. Each product came from what our users needed next, and they're built to work as one.
AskZenzo Analyst Live Plain-English questions, answered with the chart, the query and the sources.
TrackZenzo BI Early access The answers your team relies on, as dashboards, reports and data stories that stay current.
Add contextZenzo Knowledge Early access Documents and policies add the reasons behind the numbers, with citations.
DecideZenzo Brain Coming soon Data, knowledge and reasoning connected, so the next step is clear.
What makes it different
Answers that show their work. Every answer comes with the query behind it, the sources it used and how strong the evidence is.
Governed by default. Read-only connections, role-based access, row-level filters, column masking and audit trails. Sensitive data is hidden before the AI model sees it.
Context that leads to a decision. Your business terms and documents give every number its meaning, and Zenzo explains what changed, why, and what to watch next.
Zenzo works alongside your analysts and the BI tools you already use. It makes what's in them easier to reach, for everyone.
05Our founders
Product depth. Engineering depth.
One of us lived the waiting from the business side. The other spent 15 years building the enterprise systems behind it. Together, we're focused on the hardest part of enterprise AI: making business answers trustworthy.
Chandra Sekhar Reddy Bora
Founder
Product + Enterprise SaaS + AI
12 years building products across enterprise SaaS, event tech and fintech.
Product Lead at Cvent after it acquired Jifflenow, helping grow ARR from $10M to $18M through integrations, AI and self-serve.
Joined as Founding Product Manager at Hubilo, building from zero revenue to a global platform with $150M+ in funding.
Led enterprise fintech products at Zaggle, used by Uber Eats, Zomato, Volkswagen, Tata and IOCL.
Co-founded the fintech startup Click&pay, acquired by Zaggle in 2018 for about $0.5M.
Enterprise Architecture, Product Engineering, Data & AI
15+ years of experience architecting, engineering and scaling enterprise technology platforms across Pharma, Healthcare, Retail and Financial Services.
Delivered enterprise technology solutions for global organizations including Pfizer, Molina Healthcare, Kaiser Permanente, Novartis and CDK Global.
Enterprise & Solution Architecture: Expertise in designing scalable, resilient and secure systems, from database and distributed system architecture to enterprise integrations and large-scale automation.
Data & AI Engineering: Deep expertise in data architecture, RAG-based knowledge intelligence, LLM infrastructure, Agentic AI and production-ready AI implementations.
Enterprise AI Transformation: Driving the evolution from traditional automation and AI-assisted applications towards governed, autonomous, multi-agent enterprise platforms.
Technology & Product Leadership: Experienced in translating business requirements into technology strategy, architecture roadmaps and end-to-end product delivery, from concept to production at scale.
Clarity over complexity. If an answer needs a manual to read, it isn't finished. We design for the person with the question, not the person who built the database.
Trust before speed. A fast answer is worthless if you can't believe it. We'd rather show our work than ask you to take our word for it.
Governed by default. Permissions, masking and audit trails apply before anything reaches an AI model. Your data stays your data.
Build with the people who ask. We build alongside the sales, finance and operations teams who live with the questions, not only the data teams who answer them.
07Our mission in action
Make plain language the interface to business data.
That's our mission. Here's what it looks like for customers today:
Ask in plain English and keep the conversation going with follow-up questions.
See the evidence: the chart, the query and the sources behind every answer.
Connect what you already use: databases, SaaS apps and files, with read-only access.
Act on it: save answers to dashboards, or turn them into alerts and scheduled agents.
See it for yourself
Bring a real question. We'll answer it live.
Request a demo and see how Zenzo answers a question about your own business, or talk to us directly about the story, partnerships or working together.
