Latest news with #Composio
Time of India
24-07-2025
- Business
- Time of India
Porsches, triple salaries & $100 million offers: AI startups go wild with hiring offers as tech giants scoop top talent
Startups are pulling out all the stops to attract AI talent, with Composio offering a Porsche for successful referrals and Cluely tripling salaries for designers. BENGALURU: When Karan Vaidya, co-founder of AI infra startup Composio, promised a Porsche to anyone who referred a product engineer who joined their San Francisco team and stayed for three months, it sounded like a spiel. "Not kidding," he wrote in the now-viral X post, complete with a photo of a black Porsche model he had in mind. You Can Also Check: Bengaluru AQI | Weather in Bengaluru | Bank Holidays in Bengaluru | Public Holidays in Bengaluru Just hours later, Roy Lee, co-founder of Cluely, another early-stage AI startup, chimed in with his own no-nonsense offer. "I'll triple your base salary," he posted, as he searched for a founding designer. "No questions asked." The timing is uncanny. This same week, Microsoft reportedly poached 24 AI researchers from Google DeepMind, including Amar Subramanya, the former engineering head of Gemini team who is now a corporate VP at Microsoft AI. Meta hired three DeepMind experts who had helped build a language model that achieved gold medal-level performance in the International Math Olympiad. Big money can hurt small AI teams, say experts Meta has also been aggressively staffing its new Superintelligence unit, reportedly offering compensation packages of over $100 million to lure top researchers from OpenAI and Anthropic. "There's a real risk that we're overpaying for momentum and mistaking it for durability," said Manav Garg, co-founder and managing partner at Together Fund. "High-visibility compensation moves can bring in mercenaries rather than missionaries. That's dangerous for early-stage companies where cultural fit and long-term belief in the vision are as critical as technical skill." For many investors, the current frenzy feels inevitable. "Talent is IP," said Avijeet Alagathi, founder of Shastra VC. "Capital solves for little in this space, so it's being used to buy and retain talent." Thiyagarajan Maruthavanan, co-founder at Upekkha, described the market as unforgiving. "In artificial intelligence , the fourth player doesn't even matter," he said. "The people who can orchestrate systems at scale are reaching infinite price." For now, in a winner-takes-all environment, founders are betting that conviction, like a Porsche, can still turn heads.
Time of India
24-07-2025
- Business
- Time of India
The Porsche, the pay spike and the AI talent race that's getting absurd
Karan Vaidya (right) and fellow Composio co-founder Soham Ganatra BENGALURU: When Karan Vaidya, co-founder of AI infra startup Composio, promised a Porsche to anyone who referred a product engineer that joined their San Francisco team and stayed three months, it sounded like a stunt. But he wasn't joking. 'Not kidding,' he wrote in the now-viral X post, complete with a photo of a black Porsche model he had in mind. Just hours later, Roy Lee, co-founder of Cluely, another early-stage AI startup, chimed in with his own no-nonsense offer. 'I'll triple your base salary,' he posted, as he searched for a founding designer. 'No questions asked.' The timing is uncanny. This same week, Microsoft reportedly poached 24 AI researchers from Google DeepMind, including Amar Subramanya, the former engineering head of the Gemini team, who is now a corporate VP at Microsoft AI. A day later, Meta hired three DeepMind scientists who had helped build a language model that achieved gold medal-level performance in the International Math Olympiad. Meta has also been aggressively staffing its new Superintelligence unit, reportedly offering compensation packages of over $100 million to lure away top researchers from OpenAI and Anthropic. For founders like Vaidya and Lee, who are building AI-native products in public, the job post has become a statement. It's part recruitment, part performance art and very much a reflection of how fierce the competition for technical talent has become in AI. 'There's a real risk that we're overpaying for momentum and mistaking it for durability,' said Manav Garg, co-founder and managing partner at Together Fund. 'High-visibility compensation moves can bring in mercenaries rather than missionaries. That's dangerous for early-stage companies where cultural fit and long-term belief in the vision are as critical as technical skill.' Composio recently raised $25 million in a Series A round led by Lightspeed, with participation from Elevation Capital, Together Fund, and several prominent angels. Cluely, which positions itself as an AI-native workspace tool, raised $15 million from Andreessen Horowitz. A Porsche, in this context, is relatively modest, starting around $110,000 in the US, it's a small fraction of what top-tier AI engineers can command in total annual compensation. For many investors, the current frenzy feels inevitable. 'Talent is IP,' said Avijeet Alagathi, founder of Shastra VC. 'Capital solves for little in this space, so it's being used to buy and retain talent.' Thiyagarajan Maruthavanan, co-founder at Upekkha, described the market as unforgiving. 'In AI, the fourth player doesn't even matter,' he said. 'The people who can orchestrate systems at scale are reaching infinite price.' For now, in a winner-takes-all environment, founders are betting that conviction, like a Porsche, can still turn heads. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Time of India
22-07-2025
- Business
- Time of India
AI startup Composio raises $25 million led by Lightspeed Venture Partners
Soham Ganatra and Karan Vaidya BENGALURU: Composio, a San Francisco-based infrastructure startup has raised $25 million in its latest round of funding as it aims to build foundational tools to make artificial intelligence (AI) agents capable of learning through experience. The integration startup, which simplifies how AI agents and large language models (LLMs) connect with external applications and services, was founded by Indian-origin entrepreneurs Soham Ganatra and Karan Vaidya. The latest $25 million Series A round was led by Lightspeed Venture Partners, with participation from Vercel CEO Guillermo Rauch, HubSpot founder Dharmesh Shah, Marathon Management Partners founding partner Gokul Rajaram, Rubrik founder Soham Mazumdar and institutional investors including SV Angel, Blitzscaling Ventures, Operator Partners and Agent Fund. Existing backers Elevation Capital and Together Fund also participated in the round. The startup had previously raised $4 million in seed funding. Composio is building what it describes as a shared learning layer for AI agents, enabling them to accumulate and transfer practical knowledge across workflows. For instance, when an agent learns how to handle a Salesforce or GitHub edge case, that insight becomes instantly available across the network, making agents more useful over time rather than remaining static. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Up to 70% off | Shop Sale Libas Undo 'You can spend hundreds of hours building LLM tools, tweaking prompts, and refining instructions, but you hit a wall,' said Ganatra, CEO of Composio. 'These models don't get better at their jobs the way a human employee would. We're solving this at the infrastructure level.' The company began building its stack in 2022 and has since tackled challenges around multi-agent coordination, secure authentication and scalable architecture. A core component of the platform is its reinforcement learning layer which is designed to help AI develop intuition. Composio's tools have attracted over 100,000 developers and more than 200 companies, including Glean and several Y Combinator startups such as April, OpenNote, Airweave, Den and Dash. With the new funding, Composio said plans to deepen its learning infrastructure and expand integrations with AI frameworks such as Supabase MCP, LangChain, Vercel AI SDK and OpenAI Agents. 'Composio is building the missing layer that makes AI agents genuinely useful in production,' said Raviraj Jain, partner at Lightspeed. 'By enabling agents to learn from experience, they're bridging the gap between impressive demos and real-world deployment.' Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Forbes
22-07-2025
- Business
- Forbes
Composio Lays Down Score For AI Skills Infrastructure
Close-up shot of sheet music in sepia tone. Reinvention is tiresome. As enterprise software developers now set out to create their next batch of applications (many being completely newly aligned, or refactored for AI) they will need to perform a whole series of architectural responsibilities related to solving service provisioning, security, connectivity, integration and observability requirements. Much of the task at hand requires the construction of individual AI agents and the ability to instruct them. Even when the developer draws upon application programming interfaces to forge connections to existing AI agents and services that provide essential functions, there's always a huge amount of authentication and management that has to be applied at the infrastructure level. Learning From Agentic Mistakes Where the developer community may be falling short is in its ability to systematically track not just how and where agents forge their connection points, but also… crucially, to capture and codify what the agent has done through the course of its interconnection to another IT service and how successful that connection was in terms of the functionalities extracted from it. 'AI agents typically make the same mistakes repeatedly… which is a good thing in terms of learning,' explains Soham Ganatra, CEO of Composio, a newly established organization that works to provide a foundational skill infrastructure service for AI agents to learn and optimize their performance across enterprise applications. 'When developers connect agents to applications like Salesforce (or a GitHub workflow, or a database), they all end up solving the same issues and providing the same context. We store this knowledge as 'skills' that can be reused by other developers. When an agent learns how to work with Salesforce for the first time, it shares that knowledge with every other agent interacting with Salesforce. This way, all agents get better over time.' Now bringing its platform to market in its inaugural year of operation, Composio claims to be able to address a gap in the AI ecosystem by providing the "skill infrastructure" that allows autonomous agents to interact more intelligently with software tools and workflows. The company says that we can think of its services portfolio as an adaptive skill layer that improves its intuition with every interaction, that self-optimizes its own actions and becomes more useful with time. Raw Intelligence Is, Well, Raw Ganatra asserts that raw intelligence on its own (i.e. the power of large and small language models when fed through the most sophisticated AI data models and turbo-charged by the zippiest graphical or neural processing units known to humankind) is only part of the puzzle. He suggests that business impact happens when intelligence can learn from its interactions with the world, incorporating both the human beings and the machines that reside in it. 'AI agents will keep getting smarter on the backs of increasingly powerful models, but the magic lies in giving them a soul: elevating them from tool-calling robots to systems that understand your goals and your environment, growing with you as partners,' says Ganatra. 'We're building a self-optimizing skill layer, addressing the fundamental gap between increasingly intelligent LLMs and agents that can evolve from experience to develop nuanced, practical skills.' He further states that skills are the fundamental building blocks behind an agent's capabilities, ranging from basic tasks like email composition to complex operations like advertising management. An evolving skill layer improves the system's overall capabilities exponentially, allowing it to handle increasingly complex problems without extensive prompting. The company says when building AI constructs, we need to think about the 'scale of tools' i.e. for an agent to be reliable and skilled, it must access any software-as-a-service endpoint on demand. This warrants a repository with thousands of toolkits. In terms of skill adaptation, repeated workflows should transform from LLM-guided execution into fast, codified routines, optimizing speed and reliability. Skills should also dynamically switch between codified flows and LLM reasoning based on the context... this means that if a codified skill doesn't exist for a task, it returns to LLM-guided execution. Through the agents Composio across its customer base, the company says it is building the a network of managed skills that are personalized and learn from the environment that they operate in. "You can spend hundreds of hours building LLM tools, tweaking prompts, and refining instructions, but you hit a wall," says Ganatra. "These models don't get better at their jobs the way a human employee would. They can't build context, learn from mistakes, or develop the subtle understanding that makes human workers invaluable.' Ganatra and team insist that they started building AI agent services 'before the current hype' around two years ago. The business was founded on a mission to solve fundamental infrastructure problems in the AI space. The team tackled complex challenges including multi-agent coordination, authentication across enterprise systems and building scalability into infrastructure processes so that millions of requests could be handled daily. The organization now has over 100,000 developers using its platform, with tens of millions of requests every day. Competitive Analysis, Agentic Automation While Creatio will of course claim 'uniqueness' and describe its agentic AI infrastructure technologies as one of a kind, we can find a range of services that reflect and resonate with its approach through the usual suspects in the IT marketplace… and within some of the start-ups vying for more voice in this arena As well as Dynatrace with its Davis AI service and IBM with Watsonx Orchesrtate, the agentic infrastructure management space is well-populated with technologies from New Relic, Cisco, Splunk and even ServiceNow (as a firm that most of us recognize for its IT service management platform) with its technology that aims to empower individuals to become orchestrators of their own processes and provide agentic power to drive service discovery and incident resolution. Among the big players, database vendor Oracle is in this sector with its Agent Studio, a technology for creating, extending, deploying and managing AI agents and agent teams across an enterprise. Arguably more narrowed to specific Oracle use cases, the company provides similar 'codification of agents' with its agent template libraries, a service used to create AI agents with pre-built templates paired with natural language prompts, or draw upon a library of ready-made templates to support a variety of business scenarios. Also from the tech behemoths, Microsoft AutoGen is an open source programming framework for building AI agents and facilitating cooperation among multiple agents as they are engineered to solve workplace tasks. Microsoft says that AutoGen aims to provide a flexible framework for accelerating 'development and research on agentic AI' with an emphasis on code quality, robustness, generality and scalability. Lesser-known (but arguably no less tasty) fare is on offer in the space from Tonkean with its AI Front Door technology, which acts as an orchestration hub between workplace tasks and agents under enforced policy control with auditability. Again, there is a more narrow application point here i.e. Tonkean works specifically in the legal and procurement business. A little broader, Camunda is known for its work supporting the hybrid orchestration with agentic technologies. The company has been said to 'meld' deterministic process models with non‑deterministic AI‑guided decision-making. MuleSoft, AWS, UiPath and others all operate in this space. No More Back To School? There's something of an incongruous paradox going on in artificial intelligence if the drive to build agentic functions (which essentially exist to automate our lives with functional shortcuts and smart accelerators that remove grunt work) involves a core need to step on the brakes and go back to school for every new build. If AI is meant to encapsulate automation and make things quicker, then surely it should make use of encapsulated automation itself when attempting to operate. This is by no means the mission statement that Composio operates from, but it surely could be. A core issue to address is the fact that language model interfaces have traditionally been built for humans to use, not for machine services to dovetail with. This means that AI in your favorite chat, email, search or creator application is fun to use, but it also means a hell of lot of work is going on below decks down in the engine room. Nobody wants to get covered in grease when they don't need to, so let's spare a thought for the AI agents themselves. Otherwise, bring some handwash.
Time of India
22-07-2025
- Business
- Time of India
Agentic AI startup Composio raises $25 million in funding round led by Lightspeed Venture Partners
Agentic artificial intelligence (AI) startup Composio has raised $25 million in funding led by Lightspeed Venture Partners , the company's cofounder and CEO, Soham Ganatra , told ET in an round also saw participation from existing investors, such as Elevation Capital and Girish Mathrubootham's Together Fund, in addition to angel investors, such as Gokul Rajaram, Rubrik cofounder Sohum Mazumdar, HubSpot founder Dharmesh Shah, and company had earlier raised $4 million in seed money, taking its total fundraise to $29 said that the company will use the funds to expand its engineering and research team. Composio simplifies complex enterprise workflows through AI-driven automation and has over 200 companies as paying customers. It is generating over $1 million in annualised recurring revenue, Ganatra said, without disclosing specific revenue startup, based in San Francisco, with a development centre in Bengaluru, plans to increase its team size from 25 currently to 40 by the end of this is building infrastructure that lets AI agents plug directly into widely used business apps like Gmail, GitHub, Salesforce, Slack, and others. It acts as a connective layer between autonomous AI tools and the enterprise software platform offers pre-built, production-ready integrations, allowing AI agents to perform actions like sending and organising emails, updating customer relationship management (CRM) entries, managing tickets, and even interacting with code repositories—without developers needing to build each connection from scratch, deal with complicated logins, or write and maintain extra reduces the friction of deploying AI in real-world business environments, where legacy systems, security constraints, and integration overhead often slow things down.'You can spend hundreds of hours building LLM tools, tweaking prompts, and refining instructions, but you hit a wall,' Ganatra said. 'These models don't get better at their jobs the way a human employee would. They can't build context, learn from mistakes, or develop the subtle understanding that makes human workers invaluable. We're solving this at the infrastructure level.'Ganatra said that over 100,000 developers use the platform, with adoption gathering pace among AI-first companies. Top startups from the latest Y Combinator batches like April, OpenNote, Airweave, Den, and Dash are Composio's customers, he funding comes at a time when risk investors are increasingly backing cross-border startups building AI startup Risa Labs, which aims to improve cancer care workflows, raised $3.5 million in a seed funding round back in April, led by Flipkart cofounder Binny Bansal with participation from General Catalyst, z21 Ventures, and January, Khosla Ventures and Z47 (formerly Matrix Partners India) led a $25 million funding round for Atomicwork , which is building AI agents to help enterprises manage their IT workflows. In December last year, task automation venture RapidCanvas raised $16 million in a round led by Peak XV Partners.
