Combine retrieval-augmented generation, fine-tuned embeddings, and scalable re-ranking to deliver precise, context-rich answers across your organization
Buried insights slow decisions, increase compliance risk, and waste resources
Key information is scattered across documents, code repositories, and internal tools, delaying decisions and creating costly errors
Disconnected data and generic models result in misinformed actions, compliance violations, and wasted resources
High-volume queries overwhelm standard AI pipelines, causing latency, bottlenecks, and higher operational costs
Fine-tuned RAG with embeddings and re-ranking powers real-time, accurate, and compliant guidance
Instantly retrieve relevant information from internal docs, FAQs, and code repositories
Combine retrieved data into clear, domain-specific answers that reflect internal workflows, taxonomies, and compliance requirements
Fine-tuned models ensure domain-specific accuracy, compliance adherence, and deterministic results
Multi-modal embeddings, long-context reasoning, and fanout-enabled re-ranking deliver high-quality, scalable outputs
Align models to internal schemas, workflows, and organizational taxonomies with minimal friction
GPU autoscaling supports millions of queries without breaking workflows
Transcribes audio four times faster for real-time, actionable insights
Scale globally at a fraction of the cost of legacy solutions.
Drive significant revenue gains with smarter voice interactions.
Deliver near-instant transcription for seamless customer experiences
DoorDash leveraged Fireworks AI to transform casual, natural language queries into structured product data, enabling faster, more accurate search results and a better customer experience
Fireworks AI enables teams to reason across multi-source data and documents, delivering context-aware guidance, faster decisions, and scalable, auditable knowledge workflows across your organization
