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Interviews: 5 Questions for Sagar Batchu, Co-founder and CEO of Speakeasy

Speakeasy's CEO, Sagar Batchu, shared insights about the firm's cutting-edge API development platform with the Center for Data Innovation. Batchu emphasized the platform's role in speeding up API creation and indicated the essential part APIs play in driving data innovation.

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Speakeasy's CEO, Sagar Batchu, talks about their API building platform in an interview with The...
Speakeasy's CEO, Sagar Batchu, talks about their API building platform in an interview with The Center for Data Innovation. He highlights how Speakeasy streamlines API development and elaborates on APIs' importance in fostering data innovation.

Interviews: 5 Questions for Sagar Batchu, Co-founder and CEO of Speakeasy

Chat with Sagar Batchu, CEO of Speakeasy: Streamlining API Development

Chatterbox: Alright, let's dive into the world of APIs with Sagar Batchu, co-founder and CEO of Speakeasy. Speakeasy tidies up the process of API development for companies who want to share their data securely and efficiently.

The Chat:

Mak: Hey Sagar, what does Speakeasy do?

Sag: Speakeasy helps developers build APIs effortlessly. Most businesses today have valuable data they wish to share securely with their customers or interface with data from other sources. APIs are the backbone powering these integrations. We fit seamlessly into a company's existing software design, offering tools that enable end users to access digital products more effectively. Our platform generates ready-to-use examples, like software development kits in a variety of programming languages, making API development a breeze.

Mak: How do APIs drive data innovation?

Sag: Today, APIs enable data to travel in several ways - on-demand, streaming, or in batches. This flexibility has laid the groundwork for digital marvels like ChatGPT and other AI experiences. When you interact with these applications, they connect through APIs. For instance, ChatGPT uses an API that streams responses from the AI model in real-time. API standards for streaming data from AI models are a recent and exciting innovation in the API domain.

Mak: How does Speakeasy leverage AI?

Sag: We utilize AI to simplify and automate the API design process. API design is an iterative process involving writing technical documents that adhere to standards like OpenAPI. We leverage generative AI to guide customers through building and validating these documents. We also offer an AI chatbot that provides suggestions and helps customers make smart decisions on API design with its constraint-based approach.

Mak: What challenges have you encountered as an innovator?

Sag: As a first-time founder with a developer background, the biggest hurdle has been adapting to finding product-market fit and working directly with customers. In traditional companies, developers often work in isolation from customer interactions. In a startup, everyone, regardless of their primary role, interacts with customers. This direct interaction has been a significant shift from my previous experience but has also been rewarding, despite its challenges.

Mak: What does the future hold for Speakeasy?

Sag: The AI space is evolving rapidly, particularly in the realm of agentic interactions. Large language models (LLMs) are growing more potent, shifting from chat-based experiences to managing workflows and carrying out tasks. For example, an LLM-powered assistant could book a flight ticket by making a series of API calls. This development is highly relevant to us because it requires not only existing tools but new ones. An AI model doesn't need a full documentation site to access an API: it requires a quick description of the input data structure and expected output. We're gearing up to offer companies the tools to make their APIs accessible to this new breed of agents, positioning ourselves to be a reliable go-to solution as technology progresses.

AI Trends Shaping API Landscape:

  1. AI Agent-Based Automation: AI agents are streamlining multi-step workflows for API design, testing, documentation, and monitoring.
  2. Generative AI: AI models are being integrated into API design platforms, helping generate API code, documentation, and even sample requests.
  3. Open and Distributed Architectures: AI facilitates edge API deployment and interoperability, with APIs adapting to developer needs and platform environments.
  4. AI-Driven Developer Experiences: AI is making API development more intuitive, with intelligent tools responding to developer intent.
  5. Agentic AI Integration: The rise of agentic AI allows APIs to self-document, self-test, self-monitor, and integrate with other AI agents easily.
  6. Multi-Agent Collaboration: New standards and protocols, such as the Model Context Protocol, enable multiple AI agents to work together seamlessly. These trends collectively indicate a future where AI not only automates repetitive tasks but also empowers developers to build smarter, adaptable APIs that evolve with changing business needs.
  7. The ai-driven developer experiences facilitated by Speakeasy leverage artificial intelligence to make api development more intuitive, responding to the developer's intent.
  8. Speakeasy utilizes generative ai to guide customers through building and validating technical documents, such as OpenAPI, in the iterative process of api design.
  9. The future of Speakeasy lies in positioning themselves to be a reliable go-to solution as technology progresses, offering companies the tools to make their APIs accessible to the new breed of ai agents, like the AI-powered assistant that could book a flight ticket by making a series of API calls.

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