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.

The first AI data analyst that has its own computer. It sees and understands your docs, Slack, databases, data lakes, and codebase. Query, debug, and analyze right where your team works.

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 tens of millions in live ad spend, increasing gross sales while decreasing advertising cost of sales by 40%.

Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing. Our founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale. We are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute. 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!

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).

Ensuring every approved drug reaches patients who need it. Auditable AI to satisfy regulators and payors 10x faster. We Synthesize fragmented pharma and device data to prove safety, optimize market access, and anticipate regulatory response. Members of our team worked in software engineering at Apple and AI at NVIDIA, helped start a large-cap pharma clinical trial, and trained at Harvard Medical School.

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.

Growth and product teams are drowning in disconnected data—HubSpot, Salesforce, Stripe, PostHog, QuickBooks. 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, an AI-powered grwith analytics platform, that unifies structured and unstructured data into one governed workspace. Powered by an agentic semantic layer, it understands your company definitions, joins marketing + CRM + billing + product, and delivers fast, explainable answers with lineage back to the source—turning every question into a lever for growth, so leaders know what is actually driving pipeline and converting to revenue. Made for Founders, GTM, and Product leaders.

Artificial Societies simulates how large groups of people respond to opinion surveys and react to information. We help global F100 enterprises anticipate how their most important stakeholders react to their most important decisions: from how investors and opinion-leaders react to comms messaging, to how high-value customers react to marketing strategies. We are experts in human behaviour. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that studied how 33,000 AI chatbots interact. Patrick, our Founder and Chief Product Officer, is an Applied Behavioural Scientist with years of experience helping F500 enterprises conduct market research. They are joined by a team of behavioural scientists, social scientists, and political scientists, all with a passion for uniting technology and an understanding of humanity. We know that every public-facing enterprise decision has million-dollar consequences. From how to position towards opinion-leaders, industry peers, and policymakers, to which marketing content to invest in, knowing how stakeholders would react matters. But traditional market research methods are too slow, too expensive, and often just fail to reach the stakeholders that truly matter. We spend our lives solving this problem. Our offering is that we build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer. We’ve built up over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do. But our enterprise partners choose us not just because we have achieved 95% accuracy in simulating human opinions compared to human self-replication - more importantly, they choose us because of our ability to deliver impossible research projects. Such as having insights in under 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk. As a result, we’ve delivered over 18 million responses to global Fortune 100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from global expansion strategies, product positioning, advertising, and strategic communications. Our vision of Artificial Societies is a Societal World Model that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. No planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. We see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.

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 a data lab that allows our customers to navigate any set of data in just a few minutes. *Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations. *Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts. 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.

Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure. Sharpe helped a top 5 quant firm find $10m+ of profit within a few hours of deployment.

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 provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations.

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 is the AI data analyst for consumer brands. A brand like Hershey’s would connect all of their data sources and then we give them an AI analyst that works 24/7 looking for revenue opportunities, cost leaks, trends and anomalies.

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.

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

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.

CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events. Developers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows. CatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.

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

GrowthBook is an open source platform to help companies make data-driven product decisions with feature flags and A/B tests. Existing SaaS solutions like LaunchDarkly require a company to send all of their data to them. This results in high costs, data compliance issues, and vendor lock-in. As a result, many companies end up building their own platforms in-house, which can take thousands of hours of work and lots of headaches. To solve this, GrowthBook uses a company's existing data infrastructure and business metrics. We believe feature flags and experimentation are the right way to build products at scale and that they will become a standard part of the development process. GrowthBook is well positioned to be a leader in this growing market.

SmartHelio provides a software that helps solar utilities automatically predict and prevent downtime disruptions. We help solar utilities to generate extra $200k per plant income on $10k spent using our software, by preventing 700 faults per year. We have a platform which reads live data (current, voltage, weather parameters) from a solar plant, runs algorithms to decouple various factors for the underperformance and provides recommendations to fix it. This data is 100% available for the large scale solar in the world just using software (e.g. APIs). Product launch: https://www.producthunt.com/posts/heliocloud Our cloud software is being used by 40+ leading solar developers in Europe and Asia. We have analyzed 25+ billion of data points from over 3 GW of solar assets spread across the globe in the last 2 years.

Redbird is an AI-powered analytics platform for the enterprise - empowering anyone within an organization to easily automate and unify their analytics work in minutes, without writing code. Redbird connects to all of an organization’s data sources and accelerates analytics work across data prep, wrangling, analysis, reporting and data science.

PromptLoop helps GTM teams automate account research and data enrichment at scale. We turn manual web scraping and qualification workflows into automated processes, enabling teams to enrich thousands of accounts with detailed company data and buying intent markers in minutes. Why PromptLoop? Sales and marketing teams traditionally spend hours manually researching accounts or rely on outdated data providers. We automatically crawl and extract precise data points from company websites, social profiles, and public sources at 10% the cost of manual research, with built-in quality controls and strict sourcing. Teams can process 10k+ accounts simultaneously, turning raw URLs into actionable qualification data tailored to your goals.

Cotera is an AI agent platform that connects directly to your data warehouse and APIs, enabling businesses to build agents that take actions across their systems. With built-in tools, a visual workflow editor, and fine-grained control, teams can deploy agents at scale for use cases like intelligent ticket routing, voice-of-customer analysis, and proactive customer health monitoring.

Using industry-leading AI/LLM evaluation technology, Armilla AI provides third-party AI assessment and warranty solutions, backed by leading reinsurers Swiss Re, Greenlight Re and Chaucer. Vendors of AI-powered products leverage Armilla’s assessment to anticipate customer questions, respond to enterprise RFPs, meet regulatory requirements, build trust in the reliability of their solutions - and ultimately, to accelerate sales. Armilla’s clients include enterprises along with AI-first start ups & scale ups in Fintech, Insurtech, Healthtech, Legaltech, HRtech & more.