In the AI era, every competitor can move at AI speed. Can you?

Decision Delay

While you wait on your team for insights, an AI-first competitor acted on them yesterday.

Low Confidence

Weeks of board prep go to chasing numbers across silos and debating which team's numbers are right. The decision itself is based on low-confidence data quality.

Analysis Paralysis

Fifty dashboards give you perfect hindsight. None of them tell you what to do next.

In the AI-first era, your competitive advantage is your decision velocity.

Current analytics solutions give the illusion of progress, but don't close that gap

Across the tools in this category, three patterns account for nearly all of them.

Insights summary dashboards

Forty tiles, all equally sized, all equally urgent. The one that matters today looks exactly like the thirty-nine that don't.

Analytics chatbots

You play 20 questions with the data to get an answer that confirms what you already know. The expensive misses are the questions nobody thought to ask.

Conversational dashboards

Fluent narration of the chart you were already looking at. Same limits as a chatbot, but it saves you the typing.

Analytics chatbots and conversational dashboards assume you have the time and inclination to interrogate the data before a board meeting, just to end up with a data autopsy!
Kairos proactively elevates ranked decisions to you, with data-backed evidence!

The Kairos Platform Edge

Kairos

Kairos is the decision layer. Each morning it returns one ranked list, ordered by what each decision is worth against the goals you set rather than against a single KPI someone picked last quarter. Every item arrives with its impact already calculated, so the meeting starts at the decision instead of ending there.

KaiCore

KaiCore is where your data comes together. It discovers and harmonizes what sits across your warehouse, CRM, product analytics and finance systems, then reads the contracts, decks and memos that explain what those numbers actually mean. Every connection is read-only, so nothing migrates and nothing moves.

KaiData

KaiData decides whether your data can be trusted. It scores each source for quality, repairs what it can on its own and flags what needs a human, so no analysis quietly rests on a broken table. Governance and ethics rules are enforced in the same layer, before anything reaches a decision.

How it works

We bring intelligence to your data, not your data to our intelligence.

Zero raw data movement. Read-only access within your security perimeter.

YOUR SOURCES THE KAIROS PIPELINE TODAY’S DECISIONS STRUCTUREDSEMI-STRUCTUREDUNSTRUCTUREDPURPOSE-BUILT STORES Warehouse and lakehouseRelational databasesDocument storesAPIs and event streamsDocuments and PDFsDecks, memos, emailVector and graph databasesImmutable storage KaiCoreharmonizeKaiDataqualityKairosrank 1Shift GTM to Back-to-School+$5M2Add clarity to trade-in step+$3M3Roll back ad ranking model$1.8M4Roll out tested price+$2.3M Read-only connections. Nothing migrates. The order changes when your goals do.
Step 1Connect your sources

Warehouse, CRM, product analytics, finance. Read-only, and no migration.

Step 2State what you're optimizing for

Your goals become the ranking function, so the list reorders when your priorities do.

Step 3Get the list each morning

Ranked, quantified, and routed to whoever on your team needs to confirm or kill it.

Meet Vidya Subramanian

Founder and CEO, Kairos Decisions Inc.

Vidya Subramanian
I spent a decade leading AI and Data Science at Apple and Google, helping execs make data-driven decisions that changed multi-year strategic plans, product roadmaps, and go-to-market strategy. The bottleneck was bridging the gap between the analysis and the decision. Kairos automates that, while preserving human trust and privacy.
  • Forbes named her one of the “8 Female Analytics Experts From The Fortune 500.”
  • She has spent 20+ years leading AI and data science, most recently at Google Play, Apple Ad Platforms, and Apple Retail Online.
  • She is launching a technical course on Agentic AI hosted on Coursera in September 2026, and was previously a reviewer and contributor for Google’s ML and AI Edu Courses (2025) and Google AI Essentials (2024).
  • She has written three books: Applied Machine Learning for Data Science Practitioners (Wiley, 2025), Adobe Analytics with SiteCatalyst (Adobe Press, 2013), and PMP Certification Math (McGraw Hill, 2010, co-authored), and has published in the Applied Marketing Analytics Journal (2025) and Intellectual Property Library (2012).
  • She speaks regularly to practitioner and executive audiences, most recently on AI and agentic systems at the Virginia Department of Health and the Marketing Analytics Summit, both in 2025.
  • She holds Master’s degrees from Virginia Tech and K.J. Somaiya Institute of Management (KJSIM) in India. She serves on the Board of Studies for KJSIM, helping define the MBA and MCA curriculum.

I'm working with a small number of Design Partners.

Early enough that what you say changes what gets built.

  • Partner with Kairos Decisions to prepare for the AI era with data-driven decisions.
  • You get early access, direct influence on the roadmap, and my time on your actual problems.
  • Mutual NDA before any data is connected. Nothing about you is published without your sign-off.
  • I ask for a few hours a month and a real partnership.
  • You’ll hear back the same day.