Tool-using, voice-enabled agents with low-latency function calls streamline workflows, boost operational efficiency, and scale high-value interactions across your organization
AI assistants struggle to reliably execute tasks, connect tools, and handle multi-step workflows, slowing operations and increasing risk
Broken Workflows
Agents fail to complete chained tasks or properly invoke APIs, causing errors, stalled processes, and manual debugging
Domain & Voice Gaps
Generic models misinterpret industry language, accents, or internal terms, creating friction and inconsistent outcomes
Scaling Failures
High-concurrency, low-latency demands overwhelm standard deployments, limiting adoption and increasing infrastructure costs
Solution
Enterprise-Grade AI Agents That Act
Turn AI into action with fast, reliable agents that execute workflows, handle complex tasks, and scale across your enterprise while keeping outputs accurate, context-aware, and aligned to your processes.
Fast, Reliable Tool Use
Structured function calls enable responsive, in-flow actions across multi-step workflows
Multi-Function & Nested Workflows
Maintain schema consistency and handle complex task chains
Voice-to-Action Pipelines
Convert speech into structured, real-time actions
Fine-Tune with FireOptimizer
Align models to internal APIs, workflows, and domain language
Scalable Infrastructure
GPU autoscaling supports millions of tool calls with consistent low latency
Enterprise Governance
Full audit trails, monitoring, and controls for compliance and reliability
Model library
Recommended Models for Production-Grade Agentic Systems
Optimized for reasoning, planning, and tool orchestration, these production-ready models enable enterprises to automate complex workflows, chain decisions across systems, and execute tasks reliably at scale. Combine low-latency performance, fine-tuning flexibility, and enterprise-grade governance, ensuring agents deliver consistent, trustworthy outcomes in real-world environments
Reliable tool invocation and task completion across complex workflows
2X Better Throughput vs. GPT-4omini
Handle concurrent workflows at scale
Up to 2X Faster
Agents act on tasks in real time compared to legacy alternatives
4X Cost Efficiency
Reduce operational expenses while maintaining high-performance execution
CASE STUDY
From Chat to Action at Enterprise Scale
Notion uses Fireworks AI to power real-time agents that summarize meetings, draft next steps, and automate workflows across Slack, Jira, and GitHub while delivering sub-second responses for hundreds of millions of users.
