248 develops bespoke enterprise AI applications for Fortune 500 companies, leveraging large language models to automate repeatable tasks. Their solutions are custom-built to address specific business needs that off-the-shelf AI products cannot fulfill.
Funding
Funding not disclosed
Founders
Product
Problem
Many Fortune 500 companies struggle to integrate and deploy AI solutions that fully address their unique business challenges, often finding that off-the-shelf AI products lack the necessary customization and integration capabilities. This can lead to stalled AI initiatives and unrealized potential for automation and efficiency gains. Existing AI prototypes may face roadblocks in scaling to production environments and integrating with existing systems.
Solution
248.AI develops custom enterprise AI applications using large language models, tailored to automate repeatable tasks and address specific business needs that cannot be met by standard AI products. The company's approach involves a three-stage process: prioritization of AI opportunities through stakeholder interviews, building a proof-of-concept prototype to deliver measurable value, and expanding the prototype into a sophisticated production build with deeper integrations. 248.AI utilizes its gepeto SDK to rapidly build, test, and deploy LLM applications, integrating with existing tools and ensuring scalability and security through CI/CD pipelines. Their AI agents can communicate via multiple channels, including SMS, email, voice, and chat, while adhering to compliance requirements.
Target Audience
The primary target audience is Fortune 500 companies seeking custom AI solutions to automate repeatable tasks and improve efficiency, particularly those with existing AI prototypes that have encountered scaling or integration challenges.
Features
- Custom AI agent development using the gepeto SDK for rapid deployment
- Integration with various LLM providers including OpenAI, Anthropic, Bedrock, Llama, Groq, and Ollama
- Multi-channel deployment across SMS, email, voice, and chat
- Function calling capabilities for AI agents to interact with external software and APIs
- Agent teams for complex tasks requiring coordinated workflows
- Web crawling capabilities for data collection and analysis
- No-code playground for rapid feedback and testing
- Continuous integration and continuous deployment (CI/CD) pipelines for scalable and secure deployments
- Observability tools for continuous monitoring of application performance and behavior