Google’s AI Futures Fund has backed Emergent, a startup focused on agentic no-code application development, signalling continued interest in tools that simplify software creation using artificial intelligence. The investment highlights how large technology companies are supporting platforms that lower technical barriers while expanding the reach of AI driven development.
Emergent is building a no-code platform that enables users to create applications through AI agents capable of planning, executing, and refining tasks with limited human intervention. The approach reflects growing momentum around agentic AI, where systems move beyond responding to prompts and instead act autonomously within defined parameters.
The backing from Google’s AI Futures Fund positions Emergent within a broader ecosystem of startups exploring how AI can reshape productivity and software workflows. No-code and low-code platforms have already transformed how non-technical users build digital products. Adding agentic AI introduces a new layer of automation and intelligence.
The investment comes as demand rises for faster application development across enterprises. Organisations increasingly seek tools that reduce dependency on large engineering teams while maintaining flexibility and scalability. Agentic no-code platforms aim to address this by combining intuitive interfaces with AI powered reasoning.
Google’s AI Futures Fund focuses on supporting early stage companies working on applied AI. By backing Emergent, the fund is aligning with a vision where AI becomes an active collaborator in creation rather than a passive tool.
Emergent’s platform is designed to interpret high level goals and translate them into functional applications. Instead of manually configuring workflows, users can rely on AI agents to handle logic, integration, and iteration. This represents a shift in how software is conceptualised and built.
From a martech and enterprise technology perspective, such platforms could significantly alter how marketing tools, dashboards, and internal applications are developed. Marketers and business teams often need custom tools quickly. Agentic no-code solutions could shorten development cycles.
The investment also reflects Google’s broader interest in fostering an ecosystem around its AI technologies. Startups building on or alongside Google’s AI models can expand use cases and drive adoption indirectly.
Agentic AI remains an emerging concept, and its practical implementation raises questions around control, reliability, and governance. Platforms like Emergent must ensure that autonomous actions remain aligned with user intent and organisational policies.
The no-code market has seen rapid growth over the past decade, driven by the need for digital transformation. However, traditional no-code tools still require manual configuration. Agentic AI promises to abstract even that layer, potentially redefining the category.
Emergent’s focus on agentic behaviour positions it differently from many competitors. By enabling AI agents to make decisions within applications, the platform aims to support more dynamic and adaptive systems.
For enterprises, this could translate into applications that adjust automatically based on data or user behaviour. While promising, such autonomy also necessitates robust testing and oversight.
Google’s support lends credibility to Emergent’s vision. Association with a major technology company can help startups attract customers, talent, and further investment.
The funding also signals confidence in the long term potential of AI driven development tools. While generative AI has captured attention, sustained value lies in embedding AI into workflows.
Industry observers note that agentic AI could represent the next phase of enterprise automation. Moving from task execution to goal oriented action expands AI’s role significantly.
At the same time, adoption will depend on trust. Businesses need assurance that AI agents operate predictably and securely. Transparency and explainability will be important.
Emergent’s platform is aimed at making AI accessible without requiring deep technical knowledge. This aligns with broader trends toward democratising technology.
For Google, investments through its AI Futures Fund help shape the direction of innovation. Supporting agentic no-code platforms aligns with a future where AI underpins everyday software creation.
The deal also reflects competitive dynamics. As other technology giants invest in AI ecosystems, Google’s backing of startups helps maintain influence across emerging categories.
From a startup ecosystem perspective, the funding highlights growing interest in tools that bridge AI research and practical application. Emergent’s focus on usability positions it well in this context.
The investment is likely to support product development, talent acquisition, and go to market efforts. Scaling responsibly will be key as interest in agentic AI grows.
Regulatory considerations also loom. Autonomous systems raise questions around accountability. Platforms must design safeguards to ensure compliance and ethical use.
The partnership underscores how AI innovation increasingly occurs through collaboration between large platforms and nimble startups.
For developers, agentic no-code tools could change roles. Instead of building everything from scratch, developers may focus on guiding and refining AI generated outputs.
The impact on productivity could be significant. Faster iteration enables experimentation and adaptation.
However, hype around agentic AI must be tempered with realism. The technology is still evolving, and limitations remain.
Emergent’s progress will be watched as a test of whether agentic no-code platforms can deliver on their promise.
The backing from Google’s AI Futures Fund provides momentum at a critical stage.
As AI continues to mature, investments like this illustrate where industry leaders see future value.
The convergence of no-code development and agentic AI points toward a more autonomous software landscape.
Whether this vision becomes mainstream will depend on execution and user trust.
For now, the investment marks an important step in advancing AI driven app development.