Context Breaks
Assistants often lose track of multi-step queries, producing incomplete or inaccurate responses.
Conversational AI
ConversationalAI that TurnsKnowledge intoAction
Deploy fine-tuned models for reasoning, research, and writing that accelerate insights, maintain context, and help teams make smarter decisions while cutting overhead.
50%Higher Throughput Per GPU
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.
Domain Gaps
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.
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.
Docs
Maria AIAI Aggregation Fine-tuning Platform
Action
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.
Model Library
Production-Ready Models for Conversational AI
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.
Real-World Impact
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.
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