Axoniq is a Dutch-founded enterprise software company that builds the backend infrastructure for event-sourced systems and, increasingly, for enterprise AI. Born from the open-source Axon Framework created by Allard Buijze in 2009, the company provides an event-sourcing platform - Axon Framework, Axon Server, and an agent runtime - that gives applications a complete, replayable memory of every decision they make. That memory is the foundation for auditability, explainability, and observability that regulated industries need before they trust AI in production. Axoniq's tools are downloaded 70 million+ times and used by more than 65,000 organizations worldwide.
Polar Analytics is a multichannel AI analytics platform for ecommerce and direct-to-consumer brands, built to unify scattered marketing, sales and CRM data into one dashboard on top of a warehouse-native data stack. Founded in 2021 by David Dokes and Charbel Seif, it centralizes 45+ data sources, tracks metrics like CAC, ROAS, MER and LTV, and layers AI agents and a Model Context Protocol connector so merchants can query live data and act on it. Polar serves 4,000+ brands across 45 countries and has raised roughly $28.5M, including an $18M Series A led by Chalfen Ventures in November 2024.
Salesforce announced new Model Context Protocol (MCP) servers that connect Salesforce CRM data, Tableau Next analytics, Data 360, and AI agents directly into Slackbot, Slack's built-in personal agent. Users can now query customer records, surface live Tableau visualizations, view unified Data 360 profiles, update pipelines, and trigger workflows across partner apps like Jira, Box, DocuSign, and Zapier — all from a Slack conversation, with no tab-switching, custom code, or separate logins. The Slackbot MCP Client is generally available on any Slack plan that includes Slackbot, and Salesforce-hosted MCP Servers are GA for Enterprise Edition organizations and above, with over 25 compatible partner apps listed in the Slack Marketplace's dedicated MCP registry.

Fabrix.ai (formerly CloudFabrix) is a Pleasanton, California enterprise software company building an agentic operational intelligence platform. It lets organizations design, deploy, operate and observe AI agents across IT, network, security and business operations, anchored by a tri-fabric architecture of Data Fabric, AI Fabric and Automation Fabric. The company positions itself for the 'agentic AI era' with production-grade governance, explainability and human-in-the-loop controls.
In this tutorial-style video, a creator named Adio sets out to reverse-engineer a faceless YouTube channel called Bright Side that reportedly earns nearly $40,000 a month, and attempts to recreate its cinematic educational format using AI in roughly 20 minutes. He walks through a three-step workflow that pairs Anthropic's newest model, Claude 3 Opus 5, with an MCP-based generation engine to analyze a viral channel, write an original script, and produce a full 5-minute AI documentary complete with visuals, voice-over, music, and editing from a single prompt. He then generates two more videos, packages thumbnails and metadata, schedules uploads, and argues that YouTube monetizes valuable AI content while blocking only lazy, low-quality spam.
Arcade.dev builds the secure action layer for production AI agents. Its platform gives agents delegated, per-user authorization to act inside real business systems - Gmail, Slack, GitHub, Salesforce and thousands more - by handling OAuth, token management, policy enforcement, tool execution and audit logging. Founded in 2024 by former Okta VP Alex Salazar and ex-Redis engineer Sam Partee, Arcade offers 8,000+ agent-optimized tools and authored the MCP authorization specification adopted by Anthropic. The company has raised $72M total, including a $60M Series A in June 2026.
Collate is the company behind OpenMetadata, the fast-growing open source project for unified data discovery, observability, and governance. Founded by Apache open source veterans Suresh Srinivas and Sriharsha Chintalapani, Collate layers AI agents, automation, and enterprise support on top of an open metadata 'context layer' so data teams - and the AI models they feed - can find, understand, trust, and govern their data. The company raised a $10M Series A led by Venrock in July 2025.
Frontegg is a customer identity and access management (CIAM) platform that gives SaaS builders drop-in authentication, authorization, and user management so they don't have to build login, SSO, MFA, roles, and multi-tenancy from scratch. Founded in 2019 by two former Check Point engineers, the company has expanded from B2B user management into identity infrastructure for AI agents, launching Frontegg.ai and AgentLink to secure how AI systems and the Model Context Protocol access enterprise applications.
MarcoPolo is a Santa Clara, California company building governed AI infrastructure that connects agentic AI - Claude, Cursor, ChatGPT, Copilot or any MCP-enabled assistant - to a company's internal data across 50+ systems like Snowflake, PostgreSQL, MongoDB, S3, Salesforce and Jira. Instead of building fragile one-off integrations, teams route through a single secure Model Context Protocol connection with isolated execution, scoped credentials, encrypted secrets and smart context management, so AI can query, correlate and act on enterprise data without leaking it. The product pairs a governed Sandbox, a Cost Plane for token visibility and routing, and a unified Connections CLI. MarcoPolo is the pivot of Immersa, a RevOps data-intelligence startup that raised about $16M from investors including Mayfield's Navin Chaddha.
Scanner is a San Francisco cybersecurity company that turns the log data companies already dump into Amazon S3 into a fast, searchable security data lake. Instead of paying traditional SIEM prices to keep only a few weeks of logs, security teams use Scanner to index petabytes of data directly in object storage, run continuous threat detections, and search years of history in seconds - now increasingly driven by AI agents. Founded by ex-Cisco and Dropbox engineers Cliff Crosland and Steven Wu, the company raised a $22M Series A led by Sequoia Capital in March 2026.
Speakeasy is a San Francisco developer-infrastructure company that turns an OpenAPI specification into production-grade, type-safe SDKs across ten-plus languages, then keeps them in sync automatically as the API changes. Founded in 2022 by Sagar Batchu and Simon Yu, it has expanded from SDK and Terraform-provider generation into an AI control plane for the Model Context Protocol - products like Gram and the MCP Gateway let companies expose their APIs as governed tools for AI agents. Speakeasy has raised roughly $26 million, including a $15M Series A led by FPV Ventures in 2024, and counts Vercel, Mistral AI, Clerk, Kong, Fivetran, Airbyte, and SolarWinds among its customers.
Supernova is an AI-powered platform that turns a company's design system into structured context that both people and AI coding agents can use. Founded in Prague and now building a U.S. headquarters in San Francisco, it centralizes design tokens, component APIs, documentation and rules as a single source of truth, then feeds that context into tools like Figma, Storybook, Cursor, GitHub Copilot and Claude Code so product teams can prototype, hand off and ship features faster. A Y Combinator alum, it is used by hundreds of organizations including Air France, KLM, Kraft Heinz, Paramount, Mozilla, LaunchDarkly and Skyscanner.
Credal.ai is a New York-based enterprise AI startup building a control plane for company AI agents. Founded in 2022 by two former Palantir engineers, its platform connects internal company data - from Google Drive and Slack to Salesforce - to large language models while strictly enforcing existing user permissions, redacting sensitive data, and logging every prompt and action. Credal lets regulated enterprises build, govern, and deploy AI agents and MCP servers without leaking data or breaking compliance rules.
Poly is an intelligent cloud file browser built for the AI era. It replaces Finder and File Explorer with a natural-language, multimodal interface that stores, tags, summarizes, searches, and generates across terabytes of text, PDFs, docs, images, audio, video, and URLs. Powered by a proprietary embedding model called Polyembed-v1, Poly emerged from stealth in November 2025 with $8M in seed funding led by Felicis. Founded by Abhay Agarwal, the company pivoted from AI 3D-asset generation to reinvent the file system itself.
MindsDB is an open-source AI data platform that lets developers connect, unify, and query structured and unstructured data across 200+ sources using SQL and natural language - turning any database into an AI-ready system without moving data.
Teramot is an AI-powered data infrastructure company that connects any AI model - Claude, ChatGPT or Gemini - to a company's real data in under an hour, with no technical team required. Its system of specialized AI agents inspects existing databases, warehouses, ERPs, CRMs and APIs, detects data-quality issues, proposes transformations and generates transparent, auditable SQL that produces a production-ready, queryable data layer called a Gold Table. Founded in 2022 (formerly Halley) and led by CEO Bruno Ruyu, the company is based in San Francisco with roots in Cordoba, Argentina.
Striim is a Palo Alto-based enterprise software company that builds a unified real-time data streaming and integration platform. Founded in 2012 by the team behind GoldenGate Software, Striim uses change data capture (CDC) to continuously ingest, process, and deliver high volumes of data with sub-second latency from databases, logs, and applications into cloud warehouses like Snowflake, Databricks, BigQuery, and Microsoft Fabric. Its platform powers real-time analytics, cloud migration, and AI-ready data pipelines for enterprises including UPS, American Airlines, Macy's, and Morrisons.
Mastra is an open-source TypeScript framework for building production-ready AI agents, workflows, and retrieval-augmented generation pipelines. Built by the team behind Gatsby, it gives developers agents, durable workflows, memory, RAG, tool calling, evals, and observability in one stack - so JavaScript and TypeScript engineers can move from prototype to production without leaving their language. Mastra is developed by Kepler Software, a San Francisco startup, and reached 25,000+ GitHub stars and 300,000+ weekly npm downloads with adoption at companies like Brex, Sanity, Replit, and PayPal.
Merge builds the connective infrastructure for modern SaaS and AI: one unified API that lets a product offer hundreds of HRIS, ATS, CRM, ticketing, and accounting integrations - and a newer Agent Handler that gives AI agents secure, observable access to thousands of third-party tools.
Abhinav Asthana is the co-founder and CEO of Postman, the world's leading API platform used by over 35 million developers and 500,000 organizations. Growing up in small-town Uttar Pradesh, India, he taught himself programming as a child, built virtual tour software before finishing college, and turned a side project Chrome extension into a company valued at $5.6 billion. He moved Postman from Bangalore to San Francisco in 2017 and has raised $433 million in total funding, including a $225M Series D in 2021.
Tray.ai is an AI-ready enterprise integration and automation platform (iPaaS) that connects 700+ apps, orchestrates AI agents, and lets companies build production-grade agentic workflows on a single composable foundation. Founded in London in 2012 and now headquartered in San Francisco, it underpins agent and automation programs at thousands of companies.
Vendia is an AI data platform that enables real-time, governed data sharing across companies, clouds, and regions. Founded by Tim Wagner (creator of AWS Lambda) and Shruthi Rao (former AWS blockchain head), Vendia helps enterprises like BMW, Delta Air Lines, and Fannie Mae break down data silos through its flagship product Vendia Share and newer MCP Gateway - allowing multiple parties to collaborate on trusted data without sacrificing security, compliance, or control.

Jorge Torres is the Co-Founder and CEO of MindsDB, an open-source AI data platform headquartered in Berkeley, California. He is a Visiting Research Scholar at UC Berkeley focused on machine learning automation and explainability. Torres built MindsDB to democratize AI—letting any developer query AI models directly from databases using plain SQL or natural language. Under his leadership, MindsDB has raised over $77 million in funding from investors including Benchmark, NVIDIA, Mayfield, and Y Combinator, garnering recognition from Forbes as one of America's most promising AI companies and from Gartner as a Cool Vendor for Data and AI.
Bruno Ruyu is an Argentine physicist-turned-AI entrepreneur who has spent over two decades at the intersection of data, energy, and enterprise intelligence. As Founder and CEO of Teramot, he is building what he calls 'the first Artificial Data Team' — an AI-powered data infrastructure platform that connects to databases, writes production-ready SQL, and builds ETL pipelines autonomously. A veteran of YPF, Xerox, and executive roles at Reba and Grupo San Cristóbal, Ruyu trained his first neural network in 2005 before the term 'AI' became a buzzword, and today operates from San Francisco with a seed-funded company on a mission to democratize data engineering for every company on earth.

Tim Wagner is the co-founder and CEO of Vendia, and the inventor of AWS Lambda - the service that launched the global serverless computing movement. With a PhD from UC Berkeley and stints at AWS (as GM of Lambda, API Gateway, and Serverless App Repository) and Coinbase (as VP Engineering), Wagner brings a rare double expertise in serverless infrastructure and blockchain. At Vendia, he has combined both disciplines to build a platform that enables secure, real-time data sharing across companies, clouds, and ecosystems - positioning it as the operating layer for the AI data era.

Gary Lerhaupt is VP of Product Architecture at Salesforce leading Agent Interoperability and Orchestration for Agentforce. He co-founded Clockwise, the AI calendar company used by Uber, Netflix, and Atlassian, and was a founding engineer at RelateIQ (acquired by Salesforce for ~$390M). Earlier in his career he created DKMS, the Linux kernel module framework still baked into most Linux distributions today. He holds a BS from Ohio State and an MS in Computer Science from Stanford.

Kent C. Dodds is a world-renowned web development educator, open source engineer, and entrepreneur based in Salt Lake City, Utah. Creator of React Testing Library and the Testing Library ecosystem, he left a staff engineering role at PayPal in 2019 to build a self-employed education empire spanning EpicReact.dev, EpicWeb.dev, TestingJavaScript.com, and now EpicAI.pro. Recognized as a Google Developer Expert, Microsoft MVP, and GitHub Star, he has taught tens of thousands of developers through hands-on workshops, books, courses, and his long-running newsletter. Father of six and an adrenaline enthusiast who snowboards and rides a onewheel, Kent believes that kindness and teaching compound faster than any technology trend.