Analytics Startups funded by Y Combinator (YC) 2026

Mixpanel is analytics for builders that need answers from their data at their fingertips. When everyone in the organization can see — and learn from — the impact of their work, they are poised to make better decisions. Companies like OpenAI, Netflix, Pinterest, sweetgreen, CNN, samsara, Uber, and Yelp use Mixpanel to understand their customers, measure progress, and endeavor to make better decisions.

Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). With product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey.

Moda alerts you when things go wrong with your AI agents.

Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords using noisy, delayed data with fixed rules that both break at scale and ignore stochasticity. We've built quantitative systems that advertise the way modern hedge-funds trade markets: continuous decision-making under stochastic outcomes and explicit profit constraints. We use customers' existing ad copy and use reinforcement learning and train our own LLMs to run ads on autopilot, harvesting profits when we’re confident and borrowing signals from similar keywords when data is sparse. Starting with brands on Amazon, we are automating millions in live ad spend, increasing gross sales while decreasing advertising cost of sales by 40%.

It's never been easier to turn ideas into apps, it should be just as easy to take those apps to production. SideKit provides one SDK to manage app versions, set feature flags and install privacy-first analytics to track usage. Update broke your paywall? One click to block the version. Made a breaking change and don't want users on your old version? One click to set a minimum version. Version gating is also completely free regardless of how many users you have.

Constellation builds ConstellationOS, an AI-driven platform that makes satellite networks autonomous and resilient. We ingest telemetry from satellites, ground stations, and weather systems (100K+ messages/sec), predict link failures with 90%+ accuracy up to 5 minutes in advance, and automatically reroute traffic—zero data loss, zero human intervention. hello@constellation-io.com

DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost. When Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year. Our AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no "trust me" slides, and no 10x mark-up for human labor. Frederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it. Our clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.

PlayVision is the AI Moneyball for Sports: the future for scouting, recruiting, and playing the game. Basketball teams upload their practices or games, and PlayVision uses AI and computer vision to automatically tag and analyze the film, giving coaches and scouts 10 times the information on their players and their opponents. PlayVision also uses algorithms to rank every single college and professional basketball player in the country with over 40 different metrics from tracking and play-by-play data. Check out our website at withplayvision.ai, and follow our instagram @playvisionai!

Lapis helps businesses run ads on Meta, Linkedin, and Google.

We build red-teaming agents that help developers fix their RL environments and improve their agents. Our customers are tired of being bullshitted by their agents.

Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.

OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data. The Pain: Creating vision models usually takes months: collecting training data, training, then deployment. Worse yet: + it’s often impossible to get enough data for a specific task, and + even the best cv models struggle to generalize across diverse camera setups, workflows and environments. To overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Our current customers include: - National Defense Organizations - Robotics Research - Security cameras - Behaviour analysis for port monitoring - Off-shore oil & gas monitoring

For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).

Assemble pharma publication-grade evidence 100x faster We synthesize real-world and published evidence into literature reviews for pharma teams to prove drug safety and efficacy — in days, not months. Focusing initially on women's health drugs + GLP-1's. Built by a team of NVIDIA engineers, Apple Engineers, and Harvard Med Students.

Kaelio is the modern alternative to Metabase and Looker. We replace rigid dashboards with an AI-native interface that connects directly to your warehouse, letting teams explore data and build dashboards through conversation, not tickets or manual configuration. Modern teams are done with Metabase and Looker. They are rigid, slow to change, and push every question back onto data or engineering teams. Kaelio removes that tradeoff by giving everyone fast, flexible access to trusted, governed metrics through a shared interface, without adding work to data or engineering teams.

Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.

nao is an open source framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.

GTM teams are drowning in disconnected data—Salesforce, Stripe, Mixpanel, Gong, Slack, and email. The result: leaders can’t trust dashboards, data teams get buried in ad-hoc requests, and deal teams burn days stitching context instead of driving revenue. We have built Lopus Probe, an AI-powered GTM research platform that unifies structured and unstructured data into one governed workspace. Powered by an agentic semantic layer, it understands your company definitions, joins CRM + billing + product + transcripts safely, and delivers fast, explainable answers with lineage back to the source—turning every question into a lever for growth. Engineered by Lopus AI, the GTM weapons lab.

Artificial Societies uses AI to simulate large groups of people and how they interact. Companies like Anthropic and 11x are using Artificial Societies to predict how their marketing and content will perform in a simulation of their target customers, before launching in the real world. This is a cracked team: James left rural China at age 14, got into Cambridge, turned down a CS PhD to do startups, and - in his spare time - lead the largest ever study of an LLM society. James is joined by Patrick, an applied behavioural scientist who has run over 200 real-world experiments for businesses including Fortune 500 companies. We joined forces through a shared frustration that no one really understands large scale human behaviours: traditional market research is not only slow and expensive, but fundamentally flawed - it misses how people influence each other. Humans are not isolated individuals, we are social animals. We began by simulating a network of 1,000 investors, and used it to raise a pre-seed and get into YC. Since releasing this publicly as “Wave”, startup founders have run over 3000 simulations. We have since released "Reach", where anyone can simulate their own LinkedIn audience and test how their posts will perform before posting for real. Artificial Societies is doing for simulations what ChatGPT did for LLMs - making them accessible to everyone. As AI advances, we will create representative models of entire human societies. Our vision is a world where all content, products, and policies are first simulated in an Artificial Society. We are on a mission to create Artificial Collective Intelligence - humans innovate in collectives, we want to scale collective innovation with ACI.

Operand builds and deploys AI systems that help companies run their business better—using data, machine learning, and decision systems to drive day-to-day strategy execution. They work with leading retailers, manufacturers, distributors, and capital allocators on guiding everything from pricing, forecasting, allocation, diligence, and more.

Roark helps teams test, monitor, and improve their voice agents. Voice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies). We close that gap by combining: 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification. 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants. 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger. Roark is the missing QA layer for Voice AI - helping teams ship agents they can trust.

Overstand is an on-demand data and insights team for customer communications. We unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations. Instead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.

Lumenary develops Solar, a tool to build full-stack apps alongside many LLMs on a canvas, where you can freely remix features and try design variants. We provide infra (auth, DBs, storage, servers), or you can integrate with your own. Deploy in a click. Lumenary was founded by three best friends who met at Dartmouth, with experience from Jane Street, IMC, and Palantir. They've published research in venues like NeurIPS, and have deployed software managing billions of dollars, petabytes of data, and a lot of LLM tokens.

Zeit AI transforms your data bases and systems so that they can be queried using natural language. For example, the financial consultancy RISE, which depends heavily on Excel, uses Zeit AI to access and analyze expenses across their organization.

MinusX is a chrome extension that adds a side chat to your analytics apps (Jupyter, Metabase, Grafana, Tableau, etc). Given an instruction, our agent operates your apps - by clicking & typing, just like you do - to analyze data and answer queries. We believe an AI Data Scientist is a scientist, not yet-another-new-analytics-platform. MinusX interoperates with you in tools you already love and use, and as a matter of philosophy, gets out of the way.

PandasAI is an open-source library for conversational data analysis. Enterprises can connect their dataframes, databases or datalakes and do data analysis in plain english. For example, PandasAI can be used by everyone in the company to visualize data or to ask complex queries and extract valuable insights for better data-informed decisions.

Create production-grade data automations and applications without writing SQL or code

1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.

GetCrux is the AI Creative Strategist to launch winning ads. Creatives have become the biggest lever to win on ad platforms. Yet, there is no clear way to figure out why something works. Marketers end up guessing and replicating the best performing ad, only to see it fail - with high CAC & wasted dollars. GetCrux helps performance marketers find winning patterns in their ad creatives across 100+ parameters like hooks, messaging, storyline, music, pacing, and recommend exactly what to launch next.

BetterBasket helps grocers with pricing, powered by competitive data. Our founding team worked together at Uber Eats growing the dark store business in Asia to $100 million in revenue and making it profitable, and are now building BetterBasket to bring those learnings to all grocers.

Measure precisely what real people think about your product, brand, or any other topic.

Upsolve AI is a customer-facing analytics as a service platform. We are building a full data stack that enables businesses to build and offer analytics to their customers at lightning speed and gives their customers the superpower to answer any data questions via AI. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.

Buster is an AI agent platform built for analytics engineering. It provides data teams with AI agents that keep their dbt projects reliable, documented, and consistent — automatically.

Menza connects to all your data, answers any questions you have and emails you when something needs attention, before it becomes a problem.

Revamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.

Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies. Until today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, We have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar. Learn more at https://orbio.earth

Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster.

Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective. ### Key Features 1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs. 2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications. 3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards. ### Built for Developers and Data Scientists Helicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform. By combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.

Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack. Today, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files). Creating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. Using our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place. We ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.

Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR

Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers. If you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!

FactIQ helps economic analysts find and visualize the right data, across 7.4M+ official time series. It interprets users' questions, identifies the most relevant datasets, analyzes them and reports back with interactive charts and tables. Every answer is fully transparent: users can inspect the underlying sources and methods, so they can verify and trust every insight.

The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow. Using Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.

At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that. We help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc. Our team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.

Mito is Cursor for data science. We’re building an AI enabled IDE to 10x the productivity of data people. Data analysts use Mito to automate reports without relying on internal engineering resources. Mito is used by thousands of business analysts, data scientists, and automation engineers at some of the world's largest banks, private equity shops, and consulting firms. Open source is key to our enterprise sales strategy. Mito is open source and built on top of Jupyter. That means getting started with Mito is as simple as running `pip install` and doesn't require enterprises to manager new infrastructure. Check us out at: https://www.trymito.io/

Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.

NewsCatcher collects multi-language news data from 140,000+ sources and over 1.5 million articles daily, enriches every item and delivers only the signals a client cares about—already mapped to their data models, tools, and security requirements. Alongside news, we also cover signals from municipal, government, regulatory, and corporate sources. Today, risk departments, policy teams, product strategists, and AI researchers rely on NewsCatcher to surface mission‑critical events in seconds and keep them embedded in workflows for years.

Elementary enables data teams to detect problems in their data before their users do. An open-source solution that any data engineer can deploy in minutes without sharing sensitive data.

Siftly helps brands measure, improve, and scale their visibility inside AI assistants like ChatGPT, Gemini, and Perplexity. We track how your brand is surfaced, compared, and recommended and give you actionable insights to win AI-driven discovery. Think of it as SEO for the AI era, built for B2B, B2C, D2C, and e-commerce growth teams.

Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love