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Key people at Thinkable AI.
Thinkable AI provides a platform for building and deploying multi-agent systems, enabling users to create agent swarms with a no-code, chat-first interface. Its core product simplifies complex AI deployments by allowing conversational control over agent generation, testing, and deployment. The platform features human-in-the-loop capabilities, offering auditable and editable agentic plans while autonomously planning, overseeing, and coordinating agent workflows.
The company was founded in 2021 by Eli M. Blatt, Matt Sanders, and Richard Pocklington. Eli Blatt and Richard Pocklington, both Stanford PhDs, along with former Deloitte leader Matt Sanders, launched the venture based on the insight that advanced multi-agent AI could be made accessible for broader application. This collective expertise aimed to democratize the power of collaborative intelligence.
Thinkable AI targets businesses and teams seeking to automate processes and solve intricate problems through intelligent applications. Its vision centers on unleashing collaborative intelligence by making agent swarm development intuitive and efficient for any user. The company aims to empower organizations to build, modify, and deploy sophisticated AI solutions seamlessly, driving forward-looking operational advancements.
Key people at Thinkable AI.
Thinkable AI is a Miami-based startup developing a no-code platform for building and deploying multi-agent AI systems, enabling users to automate workflows, create agentic apps, and manage agent swarms through simple chat interfaces.[1][3][4] It targets individuals, teams, and enterprises by solving complex problems like app development and domain-specific tasks without coding, offering human-in-the-loop oversight, scalability, and integrations with tools like Slack, GitHub, and Google Sheets.[1][2] The platform powers early apps used by 5,600 people, such as PlotDot for script creation, with a business model blending SaaS, joint ventures, and technology licensing; it's currently in waitlist phase while raising seed funding after a pre-seed led by David S. Rose.[3]
Thinkable AI emerged from a discovery in harnessing large language models (LLMs) for enterprise-grade tasks, led by founder Blatt amid Miami's AI startup scene.[3] The idea crystallized around patent-pending no-code technology that simplifies multi-agent systems, positioning the company as a genuine AI innovator beyond hype-driven wrappers.[3] Early traction includes partnerships yielding apps like PlotDot, PatentDraft (a legaltech tool co-founded with a Peter Thiel-backed exited founder), and Instagrant for grant writing, collectively serving 5,600 users; this followed a pre-seed round led by NYC Angels founder David S. Rose, fueling a seed raise.[3]
Thinkable rides the multi-agent AI trend, where swarms of specialized agents collaborate on complex tasks beyond single-model limits, amid an unprecedented innovation boom in generative AI.[1][3][4] Timing aligns with maturing LLMs needing practical deployment tools, as enterprises demand controllable, auditable systems for real-world automation—countering hype with substance via no-code accessibility.[3] Market forces like tool integrations and patent protection favor it, influencing the ecosystem by democratizing agentic apps (e.g., legaltech, content tools), potentially becoming the "Shopify for AI" to scale development like ecommerce platforms did for web.[3]
Thinkable's seed raise and waitlist signal strong momentum toward launching MAaaS at scale, with patent approval unlocking licensing and joint ventures.[3] Trends like agent orchestration, enterprise AI governance, and no-code proliferation will propel it, evolving its influence from niche apps to foundational infrastructure for AI workflows.[1][3] As multi-agent systems mature, Thinkable could redefine accessible intelligence, turning "unthinkable" enterprise automation into everyday reality—just one conversation away.[1][3]
