8 AI Startups Automating Workflows and Eliminating Manual Tasks 

Automation has long been a priority for firms aiming to reduce inefficiencies, but AI is taking it to another level. While old automation adhered to strict rules, AI-powered solutions can adapt, learn, and optimise operations in real time. From cognitive data processing to automated client interactions, AI is changing the way businesses function, eliminating manual chores and increasing productivity.

The rise of AI startups specializing in workflow automation is accelerating this shift. These companies are developing tools that handle everything from document processing and compliance checks to customer support and supply chain optimization—freeing up employees for higher-value work. Here are eight AI startups leading the charge in automating workflows and redefining business efficiency.

Brainbase

Founder: Gokhan Egri
Brainbase leverages AI to automate complex workflows by enabling businesses to create custom, enterprise-grade AI “workers” that handle tasks such as outbound sales calls, customer support, and intricate operational processes. These AI agents, built on advanced natural language processing and machine learning, are designed to replace repetitive human tasks while making autonomous decisions. Through a no-code platform, companies can easily customize AI workers to fit specific needs, including communication styles and workflow actions, without requiring technical expertise. Brainbase’s AI integrates with existing business tools like Salesforce, Slack, and Outlook, ensuring smooth interoperability across systems. Unlike traditional automation, its AI agents manage complex, multi-application workflows rather than just simple, repetitive tasks. The technology is rooted in AI developed during the founder’s PhD at Harvard, providing enhanced reasoning capabilities and more sophisticated decision-making.

Caddi

Founders: Aditya Sastry and Alejandro Castellano
Caddi is developing “automation by demonstration” technology, allowing users to create screen recordings with audio that serve as AI training videos for tasks like customer onboarding, email management, document organization, data entry, and invoicing. Instead of relying on traditional rule-based automation, Caddi’s AI analyzes these recordings to understand the intent behind user actions and generates code that interacts directly with application APIs, minimizing errors and compliance risks. With an initial focus on the legal and financial sectors, the company aims to help lawyers, accountants, and financial professionals improve efficiency while addressing concerns about the accuracy and reliability of AI-powered automation.

Orby

Founder: Bella Liu
Orby AI is introducing a new approach to business automation with its large action model (LAM), moving beyond the traditional reliance on large language models (LLMs). Instead of requiring users to write code or manually configure workflows, Orby’s platform observes behavior across apps, tracking user actions like mouse movements, HTML interactions, and repetitive tasks to generate automation code automatically. Unlike rule-based RPA or generative AI that requires prompt engineering, Orby’s “no rules” AI learns by watching and builds workflows without user intervention. By eliminating the need for predefined rules or manual setup, Orby aims to make automation effortless, allowing businesses to streamline operations with minimal effort.

Gumloop

Founders: Max Brodeur-Urbas and Rahul Behal
Gumloop is an AI-powered automation platform that enables businesses to build and deploy complex workflows effortlessly through a no-code, drag-and-drop interface. By providing modular components that integrate seamlessly with third-party apps like GitHub, Gmail, Outlook, and X, Gumloop allows users to automate everything from generating stock reports to summarizing documents—all without writing a single line of code. Designed for speed and scalability, the platform accelerates automation development, enabling small teams to operate with the efficiency of much larger ones. With built-in security, shareable workflows, and the ability to replace entire SaaS products, Gumloop empowers businesses to harness AI automation with unprecedented ease and impact.

Buffer

Founders: Joel Gascoigne and Leo Widrich
Buffer leverages AI to streamline social media management by optimizing post timing, generating engaging content, and analyzing performance trends. Its AI Assistant helps users brainstorm ideas, craft platform-specific posts, and repurpose existing content across multiple channels, ensuring maximum reach and engagement. By understanding platform nuances such as character limits, tone preferences, and trending topics, Buffer’s AI refines posts to align with audience expectations. Additionally, it provides valuable insights into content performance, helping users tailor their strategy for better results. With AI-powered automation and analytics, Buffer simplifies social media marketing, making it easier to maintain a consistent and impactful online presence.

Sprout Social

Founder: Justyn Howard, Gil Lara, Aaron Rankin, and Peter Soung
Sprout Social integrates AI across its platform to streamline social media management, enhance engagement, and provide data-driven insights. Its AI-powered tools optimize content scheduling by analyzing audience behavior, automate social listening to track trends and sentiment, and improve customer support by prioritizing inquiries based on urgency. With AI-driven reporting and analytics, users gain actionable insights to refine their strategies, while personalized recommendations help tailor content and audience targeting. Leveraging over a decade of historical social data alongside OpenAI integration, Sprout Social enables teams to work smarter, boost creativity, and maximize social media’s business impact with minimal manual effort.

Pyq.ai

Founder: Aman Raghuvanshi and Emily Dorsey
Pyq AI leverages advanced artificial intelligence to transform exam preparation by analyzing vast datasets of past year question papers (PYQs). Using natural language processing (NLP) and machine learning, it identifies key topics, recurring patterns, and difficulty levels to generate new practice questions that closely mirror real exam trends. Its AI-driven approach personalizes study strategies by assessing user performance, pinpointing strengths and weaknesses, and providing targeted feedback. Fetching documents from websites, analyzing and comparing them, and exporting that data to other systems is cumbersome. Pyq AI has built robust LLM-powered RPA, state-of-the-art document understanding, industry-specific large language models, and infrastructure to make this a breeze, optimizing learning efficiency and making exam preparation smarter and more data-driven.

Bardeen 

Founders: Artem Harutyunyan and Pascal Weinberge
Bardeen is redefining workflow automation by integrating AI agents with traditional automation techniques, enabling seamless execution of repetitive knowledge work across enterprise applications. Designed for business users rather than IT teams, Bardeen’s natural language interface allows employees to automate tasks like data extraction, web research, and email management without coding. Its AI-powered browser extension simplifies workflow orchestration, offering pre-built automations that streamline processes such as transferring data between apps, generating reports, and managing meeting reminders. By blending AI’s adaptability with structured automation, Bardeen eliminates manual inefficiencies, empowering users to focus on higher-value tasks while ensuring workflows run effortlessly in the background.