AIOps Startups funded by Y Combinator (YC) 2025

Domu automates debt collection calls for the banks and insurance companies. We work with six Fortune 500 companies and win by doing what nobody else is willing to do.

Find and fix your agent’s most critical failures in hours, not days. Atla helps developers cut time spent on manually reviewing traces. Atla’s LLM judge evaluates your agent step-by-step, uncovers error patterns across runs, and suggests specific fixes—so you know exactly what to fix and why. Atla supports the most popular agent frameworks teams build with, including LangChain, CrewAI, and OpenAI Agents. With real-time monitoring, automated error detection, and prompt experimentation, Atla gives teams the visibility and control needed to confidently ship agentic systems that work. We’re a team of researchers, engineers, entrepreneurs and operational leaders. Our expertise in evals was honed through training our own purpose-built LLM Judges, Selene and Selene Mini, which are available open-source and have been downloaded 60,000+ times.

RedBrick AI's mission is to accelerate the adoption of artificial intelligence in radiology by building world-class software infrastructure. Currently, we are focused on helping radiology AI teams prepare high-quality datasets to train their algorithms. Radiology data, such as CT and X-ray scans, is an incredibly important source of truth in healthcare delivery. In fact, over 90% of all healthcare data is medical imagery! However, the global radiology workforce is overburdened. In the UK, for example, only 2% of radiology departments are able to fulfill their reporting requirements, and this trend is reflected worldwide. The acute state of radiology, coupled with the abundance of data, makes the use of AI in radiology a prime candidate. In 2022, $5.6 billion was invested in the development of AI in healthcare! However, a key hindrance to further adoption is the lack of sophisticated tools to build and deploy AI algorithms in clinical environments. This is the problem we’re focused on at RedBrick AI We're a team based out of Bangalore India, and USA. We're backed by leading institutional investors like Y Combinator and Peak XV (formerly Sequoia Capital India).

Fountain’s all-in-one high volume hiring platform empowers the world’s leading enterprises to find the right people through smart, fast, and seamless recruiting. Candidates can apply anytime, anywhere in minutes, right from their phone. Automated and customizable processes streamline the candidate experience and save time for recruitment teams so they can scale with growing hiring needs. Advanced analytics provide end-to-end process visibility so managers can make swift, data-driven decisions. Throughout the candidate journey, the openly integrated platform enables companies to find, qualify and convert more applicants. Fountain’s global customers hire over 1.2 million workers annually in 78 countries.

Paragon is the AI growth engine for distributors and manufacturers, freeing up staff and growing revenue on autopilot.

Prolific helps dedicated research teams to collect the very highest-quality human-powered data - at scale - using our simple-to-use platform to target and manage participants from our diverse, vetted participant pool. The truth matters: the best decisions, and biggest discoveries, are built on the highest-quality data. And with the increasing proliferation of AI, access to reliable, diverse data to develop and train AI models has never been more important. Created by researchers for researchers, Prolific was founded to provide a better way for researchers and organisations to get high-quality human data and feedback at scale for important research. Now, more than 30,000 researchers across academia and industry use Prolific to gather definitive human data and feedback from reliable, engaged and fairly-treated participants – with a new study launched every 3 minutes.

Agentic Fabriq is the single control plane for data permissioning throughout your entire organization across your AI and employees. Through Fabriq, any employee can tap into AI/agents with exactly the data and tools they're cleared to use by an admin. Fabriq can be used internally with employees or externally for customers while handling the auth + integrations + permissions securely for you.

Okibi is a web app that lets you create AI coworkers using natural language. It's like Lovable for creating AI agents that talk to your internal software Corporate users lose 2 hours every day doing tasks that can be automated with agents But existing agent builders have janky drag and drop UIs that don’t map to what they want exactiy. Okibi lets everyone use natural language to build the exact agent they want.

Rootly is a modern on-call and incident management platform used by top YC companies like Dropbox, Lattice, Webflow, Faire, but also Figma, LinkedIn, NVIDIA and 100s more.

AI Agents have arrived. They are powerful enough to read, plan, and act across your everyday life and work. The question is no longer whether they can run canned demos to check the weather, it’s whether real teams can rely on them for critical work. We optimize for adoption over spectacle: useful, accountable systems that help top professional complete real tasks. Wordware is backed by Spark Capital, Felicis, and Y Combinator, with a $30M seed round. Our beautiful, historic San Francisco office sits in the shadow of the Golden Gate Bridge, it’s full of plants and radiates innovation and calm. We genuinely love working together. At lunch we talk about alignment and AI consciousness, we have surfboards in the office ready to use, we take walking meetings on the beach and hang out after work at the bar or climbing wall. We work really hard because we care deeply about what we do. Sauna is Wordware’s AI workspace for professionals. Think ‘Cursor for Knowledge Work’ and you’re halfway there. With explicit permission, it connects to tools like Gmail, Calendar, Slack, and thousands more, to gather the right context to move your work forward. It learns who you are, drafts and refines your documents, presentations, and datasets, researches across the web and your org’s internal knowledge, summarizes long threads to cut through the noise, proposes next steps, even acts on your behalf when enabled. You can work with Sauna live, side-by-side, or schedule jobs to run automatically in the background, with clear permissions and easy off-switches. Sauna brings the power of AI Agents to all professionals.

Middleware is a full-stack cloud observability platform. We allow the dev and ops teams to debug the issue faster by bringing all the metrics, logs, traces, and events to a single unified timeline and train data to AI so it can give better insight into infrastructure and application. - Single command installation to collect all the metrics, logs, traces, and events. - AI-based anomaly and error detection - GPT 4-based error resolution - Support Infrastructure monitoring, Logs, APM, Kubernetes Monitoring, Synthetic Monitoring, RUM, Custom dashboard, and Alerts. - Full-stack observability, observe any stack at any scale. We are at Middleware and wanted to make cloud observability faster, cheaper, and better.

Superb AI is a leading computer vision platform and professional services provider that provides enterprise-grade, end-to-end MLOps and DataOps workflows to accelerate the adoption and development of data-centric AI. Through the practical application of AI-based automation, Superb AI helps teams manage the entire ML lifecycle more efficiently, from data annotation to curation, model training, and deployment, while ensuring optimal data accuracy and consistency.

Automorphic has invented a way to infuse knowledge into LLMs via fine-tuning (surpassing context window limitations), enabling developers to rapidly iterate on and successively improve custom models cheaply and efficiently.

LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.

Callback is AI-native business process outsourcing. We help our customers stay focused on their core business while we use AI to automate tasks like invoice processing, PDF report parsing, and data labeling.

Hiring at scale is broken. Our solution: Voice AI that instantly interview every applicant — holds lifelike interviews tailored to each applicant's unique background. Recruiters see only a curated shortlist as VoiceOS fine-tunes the questions over time. The payoff: days-to-hire instead of weeks, slashed overhead, and a recruiting engine that scales as fast as the enterprise. VoiceOS is setting a new standard for hiring excellence.

Hyrex is a task orchestration framework that uses PostgreSQL (or Hyrex Cloud) as a durable task queue. Define tasks in Python or TypeScript, send them to be processed asynchronously, and let Hyrex handle the rest. Hyrex tasks are COLD: Controllable, Observable, Large-Scale, and Durable!

Our first product, Stillwind Search, makes finding an electronic part as easy as writing a text message. The search engine turns natural language queries into fine-grained specifications that are matched against our proprietary database of millions of parts. This is the first step towards autonomous electrical engineering.

As AI agents take on more complex tasks, ensuring reliability, accuracy, and efficiency is critical. Lucidic AI provides tools for AI agent devs, specifically visualizations and simulations, and engineers to test, debug, and optimize AI agents at scale, giving you full visibility into their decision-making. Modify prompts and re-run tests/simulations, watch step-by-step video replays of your agent’s execution, compare different models and configurations side by side, and visualize decision trees to prevent failures before they happen. Make sure your agents operate smoothly, adapt to changes, and perform as expected in real-world deployments.

Elevate is bringing AI to private equity-backed roll-ups. For example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. We know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days.

Janus evaluates AI agents in high-fidelity simulations before launch, catching failures in reasoning, compliance, tool usage, and performance. We simulate thousands of realistic AI users to replace manual testing and remove uncertainty in deployment. The resulting datasets benchmark products and feed post-training loops to continuously improve performance over time.

Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models. Once uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.

Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.

Laminar is an open-source platform which provides observability, text analytics, evals and prompt chain management for AI agent.

PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.

Athina is an end-to-end platform for product teams building production-grade AI features. 1. Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI) 2. Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code). 3. Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically. 4. Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously 5. Observability: Monitor your LLM features in production with continuous evaluations and granular analytics. Athina can be used by non-technical users as well as technical users. This means PMs, QA, Data Scientists, and Engineers can collaborate to build great AI products.

Pipeshift is a modular orchestration platform for building with open-source AI components — embeddings, vector databases, LLMs, vision models and audio models — across any cloud or on-prem. Enterprises get to deploy their AI workloads in production faster and more reliably. Additionally, as we see more model and hardware architectures coming in the market, Pipeshift future-proofs the infrastructure investments by offering flexibility through their modular MLOps stack that allows enterprises to bring down their GPU infrastructure costs without any additional engineering efforts on their end.

Adaptional is the first system of intelligence for insurance. Existing insurance systems organize work. Adaptional AI actually *does* the work. Our first product Underwriter AI pre processes every submission for an underwriter. AI extracts data from submission files, validates each data point using public sources, and summarizes risk using your underwriting guidelines.

The LLM Data Company is a research lab studying post-training data. We work with frontier AI teams to create bespoke tasks, rewards, and environments for models to play and learn at scale.

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.

Besimple AI helps teams ship AI with confidence by making high-quality, human-in-the-loop data fast, flexible, and scalable. We’re not a generic annotation vendor—we’re your on-demand evaluation and safety data engine. In under a minute, you can spin up your own data-annotation workspace tailored to your workflow, so your team can move from “we think it works” to measurable, repeatable results. Modern AI changes quickly. Models evolve, prompts shift, and new edge cases appear the moment you go live. Besimple is built for that reality. Our platform generates task-specific annotation experiences aligned to your data and goals, so you can capture reliable judgment on everything from factuality and safety to preference and policy compliance. The result is an always-current evaluation loop that keeps pace with your product, rather than a one-off test that goes stale. We specialize in evaluation and expert-grade safety data—not commodity labeling. That means we recruit and train domain experts and SMEs to judge model outputs against high bars, and we design the interfaces and guidelines to make those judgments consistent, auditable, and useful for both offline evals and production monitoring. Your team shouldn’t be waiting on back-and-forth specs and custom tooling. With Besimple, you can paste or stream your data, click to generate a tailored interface, and start collecting ground truth right away. When the task changes, the UI adapts with it. We combine pragmatic product design with a human-in-the-loop operating model. Besimple helps you create clear, actionable guidelines and then enforces them with workflow guardrails, reviewer consensus, and targeted spot-checks—so you can trust the numbers you ship. Because we’re built for iterative work, teams can quickly compare prompts, models, and policies; spot regressions; and push fixes backed by fresh, expert-reviewed data. Great models don’t happen by accident—they’re the product of tight feedback loops, expert judgment, and tooling that bends to your data, not the other way around. If you’re ready to replace slow, one-size-fits-all processes with a purpose-built evaluation and safety engine, Besimple gives you the fastest path from raw data to reliable decisions—so you can iterate boldly and ship with confidence.

A fully open-source, performant and actionable Weights & Biases alternative that saves you money. Check out our story here! https://www.reddit.com/r/mlopai/comments/1kkc9jp/mlopai_an_efficient_free_and_opensource/

🚀 Lumina💧 (YC W22) is a fast growing job platform in Southeast Asia with 1.5 million workers, helping 30k companies recruit and optimize at scale. 🤖 We are now expanding globally with Lumibot, a bespoke AI+human-powered automation service. We help companies automate mundane, repetitive processes with AI and human-in-the-loop catering for various use cases in data ops and complex workflows. This allows your business to focus on your core and grow faster, better and cheaper. 👌Our AI-powered automation start with USD 13/hour, supplemented with human-in-the-loop at USD 2-6/hour. Our services are managed based on SLAs by dedicated service managers under a prepaid credit system without arduous contracts for optimum flexibility. No minimum commitment with fully-refundable deposit from as low as USD 500^. 🛠️ We currently support the following use cases: 1) operations support 2) revenue operations support 3) web and social media management 4) email management 5) content moderation 6) AI training and verification 7) AI text humanization 8) custom process automation ... with more to come ... 👥️️ Lumibot (by Lumina) is backed by Y-Combinator, Monk's Hill Ventures, Alpha JWC, Goodwater Capital, SWC Global and January Capital. More information about us: * 💬 WA: https://wa.me/message/SEMGBRM22MDYK1 * 📅 CAL: https://usemotion.com/meet/aswin-andrison/global * 🌐 WEB: https://www.lumibot.com ^ Reach out to us on special deals ONLY for YC companies!

Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things. Each request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit. With Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.

Maitai makes building reliable AI applications easy. We autocorrect faulty model output in real-time and automatically fine-tune models that learn from their mistakes. This means our customers get more reliable results immediately, and over time, they gain custom models built specifically for their application that only get better and faster. You wouldn’t hire an employee who doesn’t learn from their mistakes—so why use a model that doesn’t? Maitai is here to deliver the next generation of reliable AI inference.

LiteLLM is an open-source LLM Gateway with 18K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format We have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund

Openlayer is the governance platform for AI applications.

Our mission is to build self-improving AI agents. We're here to close the last mile reliability gap. Through calibrated llm judges and automatic evaluations, we help companies optimize their agents 10x faster than doing manual experimentation.

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.

Luminal builds an ML framework and compiler that generates GPU code. Our stack 10x's model speed while simplifying deployment and cutting idle GPU costs Github: https://github.com/luminal-ai/luminal Discord: https://discord.gg/APjuwHAbGy

The AI QA agent for mobile teams. Add our agent to your mobile app repository and that's it. Turns natural language into E2E tests, eradicating manual testing and the need to write/maintain UX scripts. Seamlessly integrates into your CI, supports both iOS and Android, and is framework-agnostic (React Native, Flutter, Swift, etc). Saving your team hours and catching bugs before users do.

Omnara is the command center for AI agents. We enable developers to launch AI agents like Claude Code on their laptop and then seamlessly continue working on mobile, freeing engineers from being desk-bound. With a growing community of users, Omnara is building the essential infrastructure for the era of AI agents.

We're building the core infrastructure that engineers rely on to continuously trace, evaluate, and improve AI agents. We ingest a billion LLM logs every month to enable some of the best AI teams to ship amazing products, including 70+ YC startups. Monitor and debug: - Request logging with full text search to monitor AI in prod - LLM agent tracing to debug workflows with ease - Metrics dashboard to understand usage, cost, latency, and get product growth metrics - User analytics to learn how every user is using your product Build and iterate: - Collaborative prompt management - Playground for 350+ models - Model gateway with OpenAI/Anthropic API interface - Eval & experiments

LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.

SubscriptionFlow is an AI-based customizable revenue management platform that helps SMBs optimize subscription revenue. It monitors user activity to identify customers at risk of churning and automatically alerts the sales team. For example, eLearning/SaaS/Membership businesses require to monitor subscription usage to improve customer retention. Ecommerce/Magazine companies need to see the subscription trends to cross-sell and upsell products/services.

Query Vary is a no-code tool for building LLM-powered automation. Example use cases include extracting information from a sales call transcript and piping it into a CRM, creating a Slack bot trained on product documentation, or transforming Google forms into fully formatted reports. Input Software --> LLM --> Output Software Our extensive toolset to make each workflow reliable sets Query Vary apart. Book a demo: https://calendar.app.google/6oxEvZA2k4kK6dBa8

NuMind is a tool for data scientists, data analysts, but also software engineers to create custom NLP models. For example, a recruiting company uses NuMind to find which job offers best match a given resume. Etienne (CEO) was head of Machine Learning at Wolfram Research, and Samuel (CTO) co-founded Make.org (8M users). NuMind originated from our own frustration when developing NLP models. Leveraging large language models similar to GPT-3, NuMind allows to complete NLP projects at least 10x faster than before. We launched a private beta August 2 and had 9 paying customers one month later.

Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models. Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. With collaboration features, engineers can design LLM chains while QA can write test cases.

We’re on a mission to enable everyone to build reliable AI agents & AI applications. We're fully open source, and provide a unique integrated development & observability experience for those building anything in the AI space. This is the first step towards laying the foundations for Composable AI Systems; all AI systems need observability and introspection to be first class for them to be reliable. How? We're standardizing how people write python to express data, ML, LLM, & agent workflows/pipelines/applications with lightweight frameworks. So that no matter the author, it'll be easy to collaborate, connect, and importantly in one line integrate observability and datastore needs. This speeds up time to production and reduces TCO because code remains easy to maintain and your data flywheel stays manageable. So you can increase the top line & bottom line of your business by delivering on AI that is reliable. We've got two open source projects: - one focused on AI applications, called Burr (https://github.com/dagworks-inc/burr). - one focused on AI pipelines/workflows, called Hamilton (https://github.com/dagworks-inc/hamilton) see https://www.tryhamilton.dev Both Hamilton & Burr come with self-hostable UIs (+ enterprise & SaaS offerings). With a one-line code change, you get versioning, lineage / tracing, cataloging, and observability out of the box with Hamilton. With Burr you get tracing, observability and persistence in a single line addition.

OpenPipe is an SDK that abstracts away fine-tuning custom models. We capture your existing provider’s prompt-completion pairs in the background and use them to create a new model that is faster, cheaper and often more accurate than the original.