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Executive Summary
Braintrust, the world’s first user-owned talent network, sought to accelerate product innovation by embedding AI across its platform and internal operations. As an AWS Partner, we helped Braintrust harness services including Amazon Bedrock, Amazon EKS, OpenAI, Anthropic, and integrations with ElevenLabs, Cartesia, Pinecone, pgvector, and Weaviate. These scalable, AI-driven solutions enhanced customer experiences, improved operational efficiency, and enabled Braintrust to reduce time to deployment and realize significant cost savings—ultimately helping them outpace competitors in delivering new capabilities to market.
“Partnering on this initiative gave us exactly what we needed: the ability to move faster without compromising on scale or reliability. The AI infrastructure they designed on AWS allowed us to cut deployment times in half and freed up our engineering team to focus on delivering new capabilities to our users. Their expertise in operationalizing emerging AI technologies gave us confidence that we could stay ahead of the market.” - Nick Velloff
Challenge
As Braintrust rapidly expanded its product roadmap, the organization encountered growing pressure to scale its operations and accelerate feature delivery. However, manual development processes, limited automation, and infrastructure constraints were slowing down innovation cycles. These challenges not only impacted the speed of product development but also introduced inefficiencies across operations. With increasing demand from enterprise clients and a need to stay ahead in the competitive talent marketplace, Braintrust needed a more scalable, AI-enabled infrastructure to support its next phase of growth.
Solution
To address Braintrust’s scalability and speed challenges, we designed and deployed a modular AI architecture on AWS that automated core development workflows and enhanced the platform’s intelligence layer. Leveraging Amazon Bedrock and Amazon EKS as foundational components, we enabled seamless integration of leading AI models from OpenAI and Anthropic, as well as capabilities from ElevenLabs, Cartesia, Pinecone, pgvector, and Weaviate for vector search, voice synthesis, and semantic memory.
Our team implemented containerized microservices on EKS to support rapid scaling, while also embedding generative AI into both the user-facing platform and internal tools. This included automated matching, content generation, and intelligent search features, reducing manual overhead and streamlining development. Braintrust chose to work with us due to our proven expertise in AI infrastructure and ability to operationalize emerging AI technologies within highly regulated, scalable environments on AWS.
Results
The AI-powered infrastructure delivered measurable outcomes for Braintrust. Time to deployment was reduced by over 50%, enabling faster iteration on product features and quicker response to market demands. Automation across development and operations led to significant cost savings, particularly in engineering resource allocation and infrastructure scaling.
The integration of AI services into the Braintrust platform elevated user experience through smarter talent matching, contextual search, and real-time content generation. Internally, the platform’s new architecture improved development velocity and reduced bottlenecks across engineering workflows. With AWS services at the core—particularly Amazon Bedrock and EKS—Braintrust now operates with greater agility, resilience, and scalability.
Building on this foundation, Braintrust is now positioned to accelerate the rollout of additional AI-powered features, further transforming how enterprises and talent connect on the platform.
