Redbird lets anyone at a company ask a data question in plain English - and get the chart, the forecast, and the finished report back.
The Redbird wordmark. A bird that reads your spreadsheets so you don't have to - New York, New York.
It is a Tuesday inside a Fortune 50 company. A marketing manager needs a regional sales forecast by end of day. In the old world, that means opening a ticket, joining a queue, and waiting for an overworked analyst to free up. The forecast arrives Thursday. The decision was needed Tuesday.
Open a browser tab to Redbird and the sequence collapses. She types what she wants the way she would type it into a search bar. An AI agent connects the data, cleans it, runs the model, draws the chart, writes the plain-English explanation, and drops it all into a PowerPoint. Minutes, not days. No code, no ticket, no queue.
That small, unglamorous moment - a non-technical person doing technical work without asking permission - is the entire point of Redbird. The company isn't selling magic. It's selling the deletion of a bottleneck that everyone had quietly accepted as permanent.
Enterprise business intelligence as easy as a Google search.
Prebuilt links to databases, cloud storage, SaaS tools and APIs - Salesforce, Databricks, SimilarWeb and more - unifying messy multi-source data without engineering.
A ChatGPT-style interface where business users type natural-language prompts. Purpose-built agents do the analysis behind the scenes.
Self-healing agents run end-to-end workflows, fixing their own broken steps. Deterministic reruns keep the numbers honest.
Results land as charts, forecasts, PowerPoint decks, Excel, Word docs, email, or web apps - with full audit trails for the compliance crowd.
Ask any data team where their time goes and the answer is rarely "insight." It's cleaning, joining, formatting, and re-running the same report every month. Redbird's wager is that the tedious 90% is exactly the part AI agents should own - leaving humans the 10% that needs judgment.
The design choices reveal a company selling to skeptical enterprises. Deterministic reruns mean the same question gives the same answer twice. Audit trails mean a regulator can trace every step. In enterprise data, trustworthy beats flashy.
Illustrative split based on Redbird's stated value proposition, not audited figures.
Former McKinsey consultant who helped companies stand up their data analytics capabilities - then decided the tooling itself was the problem worth fixing.
Former chief product officer at Saks Fifth Avenue, bringing enterprise product depth to a company built for non-technical users.
Empowering anyone within an organization to automate and unify their analytics work in minutes - without writing code.
Founded in New York as Cube Analytics, chasing a simple idea: make data science usable by people who aren't data scientists.
Led by B Capital, with Y Combinator, Thomson Reuters Ventures, Alumni Ventures and Soma Capital. Fuel to build deeper no-code capabilities.
Redbird launches its AI platform - natural-language prompts in, charts and PowerPoints out. Google and Mondelez among the customers, government agencies onboarding.
Analytics, marketing, finance, sales, operations, HR and supply-chain teams across CPG, financial services, healthcare, government, retail, media, technology and manufacturing. The common thread: business people who needed answers and used to have to ask someone else for them.
Return to that marketing manager. The forecast she needed is finished, formatted, and in her inbox - and no analyst had to drop what they were doing to make it. The queue she would have joined is shorter for everyone behind her, too.
That is the quiet thing Redbird is really building. Not a flashy AI demo, but the removal of a wait that companies had stopped noticing because it had always been there. Data silos, it turns out, were never only a technology problem. They were a people problem wearing a technology costume - and Redbird's real product is giving non-technical teams permission to stop waiting.
Company dossier compiled from public sources. Figures such as revenue and team size are third-party estimates and may be approximate. Not affiliated with or endorsed by Redbird.