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Enterprise Search

Parse, Classify, and Summarize Your Enterprise Data

Fine-tune models on your data, integrate diverse sources, and deploy flexibly at enterprise scale with low latency.

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Problem

LLMs fall short without domain understanding

Most LLMs can’t handle real-time queries. They miss intent, generate vague outputs, and are slow to respond, hurting CX, slowing decisions, and blocking automation.

Generic models miss business-critical intent

Off-the-shelf LLMs misinterpret domain-specific queries, causing misroutes, escalations, and churn.

Unstructured summaries stall decisions

Untuned models generate vague or bloated outputs, forcing manual review and delaying action.

Latency breaks real-time workflows

Slow responses degrade UX, violate SLAs, and block support and decision systems.

Solution

Build and Deploy Domain-Tuned Assistants

Connect your data, fine-tune state-of-the-art models, and run scalable, low-latency inference to deliver accurate, real-time language understanding.

Low-Latency Parsing

Instantly parse queries for search ranking, triage, and agent assistance with real-time speed.

Domain-Tunable Open Models

Start with state-of-the-art open models.

Multi-Step Summarization

Automatically break down chats, calls, and documents into structured, actionable summaries to power workflows.

Model Fine-Tuning

Improve model accuracy and relevance using your labeled logs and feedback loops. Fine-tune on your product taxonomy, terminology, and query data.

Scalable Enterprise Inference

Deploy real-time models on GPU clusters with autoscaling to meet peak demand.

Flexible Cloud Deployment

Run models with blazingly fast inference in your VPC with full control over weights, GPUs, and scaling.

Model Library

Recommended Models

Fireworks supports top open models on day one with early access, real-world testing, and infrastructure built for production use. For this use case, we recommend:

Llama

Llama 3.1 8B Instruct (Small)

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Llama

Llama 3.2 3B Instruct (Small)

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Qwen

Qwen2.5 0.5–7B (Small)

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Performance & Impact

Meet global SLAs with low-latency inference supporting millions of concurrent queries

Resolve issues faster by tuning models on real support data with FireOptimizer

Speed up decisions with real-time parsing and summarization tailored to your workflows

Reduce risk and cloud costs with full control over models, infrastructure, and compliance

Cresta
Customer Testimonial

Cresta Cut Support Costs 100x with Fireworks at Scale

Cresta uses Fireworks for real-time summarization and query parsing, accelerating support and reducing costs across its enterprise operations.

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Who It's For

Built for Product Teams, Infra Leads, and Innovation Leaders

Fireworks lets you build real-time parsing and summarization systems tuned to your domain, with full control over infrastructure, latency, and outputs.

Developers and Product teams

  • Build AI tools that extract, tag, and classify from raw text or documents
  • Fine-tune models to your data, knowledge base, and workflows
  • Deliver real-time outputs to end-users with fast, reliable APIs

Platform and AI infra teams

  • Meet SLAs with autoscaling, low-latency inference
  • Securely deploy and monitor fine-tuned models on enterprise-grade infrastructure
  • Centralize model management with versioning, observability, and usage controls

Innovation and Business Strategy Leaders

  • Turn domain-specific queries into accurate action with AI tuned to your data
  • Reduce support cost and latency with automated responses that don’t feel robotic
  • Drive adoption with assistants that are fast, trustworthy, and easy to integrate