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Conversational AI

Conversational AI that Turns Knowledge into Action

Deploy fine-tuned models for reasoning, research, and writing that accelerate insights, maintain context, and help teams make smarter decisions while cutting overhead

Problem

Generic AI Fails Enterprises

Most AI tools lose context, miss domain expertise, and create costly manual overhead, slowing research, collaboration, and decision-making while driving wasted spend and competitive lag

Context Breaks

Assistants often lose track of multi-step queries, producing incomplete or inaccurate responses

Brand & Workflow Misalignment

Generic outputs ignore enterprise standards, forcing manual review and increasing risk

Scaling Bottlenecks

Off-the-shelf models fail under high concurrency and low-latency requirements, driving up infrastructure costs and slowing teams

Ready to deliver your AI Strategy?

Fireworks AI engineers can work with your teams to build, customize and then deploy AI models fully optimized for your use case. We work with you to develop a solution to satisfy your technical and business requirements and provide the infrastructure to deploy

Solution

Unified Platform for Research, Reasoning, and Writing

Deploy fine-tuned, scalable AI that understands your organization’s workflows, accelerates insights, and delivers structured, context-aware outputs

Deep Research Automation

Synthesize literature and internal documents instantly into actionable summaries and insights

Enterprise AI Assistants

Maintain context across multi-step workflows, delivering precise, reliable outputs at scale

Real-Time Autocomplete

Multi-line suggestions delivered as developers type, reducing context switching and accelerating iteration

Fast, Scalable Reasoning

Enable multi-agent, multi-query workflows with sub-2s latency, keeping teams productive at enterprise scale

FireOptimizer Fine-Tuning

Train models on internal data to enforce standards, improve accuracy, and accelerate decision-making

Enterprise-Grade Infrastructure

Scale securely and cost-effectively with GPU autoscaling, high throughput, and predictable performance under load

Model Library

Production-Ready Models for Conversational AI

Built with long context windows, high throughput, and fine-tuning flexibility, these production-ready models help teams turn research into action, streamline collaboration, and accelerate decision-making. They support multi-step reasoning, multi-agent workflows, and internal knowledge synthesis, delivering accurate, consistent outputs aligned with enterprise standards and brand voice

Real-World Impact

Sub-2s Latency & Zero Downtime

Always-on, real-time AI keeps global teams productive

50% Higher GPU Throughput

Lower infrastructure costs while scaling high-concurrency workflows

1.8M+ Users Onboarded in 24 Hours

Proven to launch and scale seamlessly at viral demand

30 Days from Prototype to Production

Deliver business value faster with production-ready AI

CASE STUDY

Sentient Achieved 50% Higher GPU Throughput with Sub-2s Latency

Sentient scaled to 1.8M users in 24 hours, maintaining sub-2s latency across 15-agent workflows with 50% higher throughput per GPU, all while keeping infrastructure efficient and cost-effective

Sentient logo
50%
Higher Throughput Per GPU
Maximize Your Team’s Impact

Build, Tune, and Scale Conversational AI

Fireworks Conversational AI drives smarter decisions, faster workflows, and clearer insights

Developers and Product teams

  • Build domain-specific assistants to automate workflows
  • Accelerate research and content generation with fine-tuned AI
  • Ensure outputs align with brand voice, tone, and style

Platform and AI Infra teams

  • Deliver low-latency, high-throughput AI at enterprise scale
  • Fine-tune models for domain-specific accuracy and workflow alignment
  • Deploy securely with GPU autoscaling and cost-optimized infrastructure

Innovation and Strategy Leaders

  • Accelerate time-to-insight and smarter decision-making
  • Free teams from repetitive research, writing, and analysis tasks
  • Scale AI adoption across the enterprise without adding headcount