Manufact secures $6.3 million to scale AI agent infrastructure
AI infrastructure startup Manufact has raised $6.3 million in fresh funding to accelerate the development of its platform for powering ChatGPT-style assistants and autonomous AI agents. The round, described as an early-stage investment, will be used to expand engineering, deepen integrations with the emerging Model Context Protocol (MCP) ecosystem, and target enterprise deployments.
Building the backbone for MCP and AI-native applications
Manufact focuses on the infrastructure layer required to run large numbers of AI agents reliably in production. Rather than building consumer-facing chatbots, the company provides tools that connect large language models to live data, internal systems, and third-party services through the MCP standard. This allows developers to design assistants that can securely read and write to business-critical applications while remaining auditable and controllable.
The startup’s platform aims to solve persistent challenges in AI deployment, including observability, permissions management, latency, and cost optimisation. By standardising how AI agents access tools and data, Manufact positions itself as a key enabler for organisations looking to move from prototypes to production-scale AI workflows.
Targeting enterprises adopting agentic AI
With enterprises rapidly experimenting with agentic AI architectures—where multiple specialised agents collaborate to complete tasks—demand is growing for robust infrastructure that can orchestrate these systems. Manufact is pitching its platform as a way for companies to run secure, compliant assistants across operations such as customer support, internal knowledge search, software automation and data analysis.
The new capital will be directed toward expanding support for additional AI models, improving developer tooling, and building partnerships with cloud providers and AI platforms. As the MCP ecosystem matures, Manufact aims to become a default choice for teams that want to expose internal tools and data to AI agents without rebuilding their stack.
The funding underscores investor confidence that the next wave of value in artificial intelligence will come not only from more powerful models, but from the infrastructure that makes them usable, governable and safe at scale.