Queries and content are scattered, incomplete, or hard to interpret, slowing decisions and frustrating teams
Fragmented Insights
Critical queries and content return partial or scattered results, forcing manual aggregation and slowing decisions
Slow, Unreliable Summaries
Multi-source and long-form content takes too long to review and is often misinterpreted, leaving teams without timely insights
Domain Blind Spots
Generic models misclassify company-specific language, workflows, and internal terms, causing friction and inconsistent outcomes
Solution
Turn Queries into Actionable Insights at Enterprise Scale
Fast, accurate, and context-aware AI for search, summarization, and classification that powers smarter workflows and faster decisions
Fast, Accurate Query Understanding
Low-latency parsing and classification routes queries to the right workflows in real time
Domain & Enterprise-Tuned Models
Fine-tuned to company language, taxonomies, and processes with multi-LoRA adapters for multiple domains
Structured Summaries at Scale
Generate clear, actionable summaries from text, transcripts, and images
Enterprise AI Assistants
Parse, classify, and summarize data in real time, producing next-step actions and automating repetitive tasks
Scalable, Controlled Deployment
GPU autoscaling ensures high performance while maintaining full enterprise control for security and compliance
Flexible Model Choice and Optimization
Choose medium to large models tuned for your workload and optimize with FireOptimizer for domain-specific precision
Model library
Production-Ready Models for Enterprise Search & Understanding
Built for fast, reliable retrieval and long-context understanding, these models turn multi-source data into actionable insights. Optimized for speed, comprehension, and domain alignment, they support search, summarization, and RAG while maintaining accuracy, consistency, and enterprise-grade reliability
Fine-tuned models understand your enterprise-specific language, workflows, and data
100x Cost Reduction
Run multiple LoRA adapters on a single base model, cutting inference costs dramatically
2.6x Faster Responses
Accelerate agent answer times across workflows for real-time decision-making
30–50% Fewer Repetitive Queries
Reduce manual review and repeated work, freeing teams to focus on high-value tasks
Case Study
Real-Time AI Support at Scale
Cresta leverages Fireworks AI to power real-time, domain-specific guidance across support teams. Structured summaries, actionable next steps, and multi-domain query understanding reduce repetitive work and enable faster, smarter decisions at scale
Build, Tune, and Scale Enterprise Search & Understanding
Fireworks AI turns multi-source data into actionable insights, accelerating decisions, reducing manual effort, and powering reliable knowledge workflows across your organization
Developers and Product teams
Build AI assistants that classify and summarize data in real time
Fine-tune models for internal knowledge, taxonomies, and workflows
Deliver actionable insights that accelerate product and feature development
Platform and AI infra teams
Ensure low-latency, high-throughput inference at scale
Deploy and monitor fine-tuned models on secure, compliant infrastructure
Optimize cost and performance with scalable GPU inference
Innovation and Strategy Leaders
Transform complex queries into structured, actionable insights
Accelerate decisions with long-context, multi-source summaries
Reduce operational risk while scaling AI across teams
