Transform Real-Time Events
Into Intelligent Action
AI-powered event stream processing for live broadcasting, real-time translation, and intelligent automation — turning your data into action at the speed of live.
Meet Pulse
Our flagship SaaS platform for building intelligent, automated event processing pipelines
Real-Time Processing
Process thousands of events per second with AWS Kinesis-powered streams and a high-throughput worker pool architecture. Every message is handled with sub-second latency from ingestion to intelligent action, backed by auto-scaling on AWS ECS.
Configurable script timeouts and memory-limited V8 isolates ensure predictable performance under load, while built-in monitoring tracks every execution step with millisecond-level precision.
AI-Powered Intelligence
Seamlessly integrate OpenAI GPT-4, Anthropic Claude, and AWS Bedrock models into your workflows. Use handlebar-style template interpolation to inject live event data directly into AI prompts, and chain multiple models together for classification, translation, and content generation.
Built-in support for vector embeddings via Pinecone, RAG-powered retrieval, sentiment analysis, and multi-turn dialogue gives your workflows deep intelligence without custom infrastructure.
Visual Workflow Builder
Design complex automation flows with an intuitive drag-and-drop canvas. Three distinct node types — Event, Prompt, and Action — snap together to form powerful processing pipelines, from condition evaluation to AI generation to multi-platform publishing.
Four branching modes (Single Path, True/False, Multi, and Iterable) let you route events through conditional logic, fan out to multiple audiences, or iterate over arrays — all without writing infrastructure code.
How Pulse Works
From event ingestion to intelligent output in milliseconds
Ingest Events
Stream events from APIs, webhooks, or data sources into Kinesis
Match Conditions
Filter and route events using powerful condition trees
Process with AI
Generate content, analyze sentiment, make decisions with LLMs
Take Action
Publish to social media, trigger webhooks, store results
Intelligent Live Broadcast Workflows
Pulse was purpose-built for the demands of live broadcasting, where every millisecond counts. Incoming broadcast events flow through AWS Kinesis into isolated V8 execution contexts, triggering AI-powered content generation and multi-platform publishing in under two seconds end-to-end. Whether it's a touchdown, a breaking news alert, or a live concert moment, Pulse turns raw events into polished, audience-ready content instantly.
With native SportRadar integration for NFL, NBA, NHL, and MLB data, your workflows have access to real-time player profiles, team rosters, and game context. Combine that with GPT-4 or Claude-powered commentary generation and automated social publishing, and you have a fully autonomous broadcast content pipeline that scales with the action.
- Sub-second event-to-action latency during live events
- AI-generated commentary, highlights, and social posts
- Native SportRadar integration for real-time sports data
- Automated multi-platform publishing via built-in functions
Built on Sports & Broadcast Analytics Expertise
Rocket Wave was founded by industry veterans with deep experience in sports analytics, real-time broadcasting, and AI-powered content generation. We understand the demands of live events where every millisecond matters.
- NFL, NBA, NHL, MLB, and college sports integrations via SportRadar
- Live event processing with sub-second latency
- AI-generated sports commentary and social content
- Battle-tested at scale during major sporting events
Real-Time Translation at Broadcast Speed
Reach global audiences the moment content is created. Pulse's LLM integration turns any workflow into a real-time translation pipeline — incoming broadcast events trigger Prompt entities that translate content via GPT-4, Claude, or AWS Bedrock, then publish to language-specific channels automatically. No separate translation service required.
The Iterable branching mode makes multi-language broadcasting effortless. A single event fans out to an array of target languages, with each iteration running independently through its own translation and publishing workflow. Use fast models for real-time commentary translation during live events, and quality models for polished editorial content — all configured visually on the workflow canvas.
- Iterable mode fans one event to multiple languages simultaneously
- Mix and match AI models per language for cost and quality
- Publish translated content to regional channels automatically
- Handlebar templates inject live event data into every translation
Built for Entertainment and Beyond
From live sports to real-time customer engagement
Sports & Entertainment
Real-time play-by-play analysis, AI-generated commentary, automated social media updates during live games.
Social Media Automation
Generate and publish content automatically based on events, mentions, or triggers across platforms.
Intelligent Chatbots
Build context-aware conversational flows with RAG, memory, and multi-turn dialogue capabilities.
Real-Time Analytics
Process and analyze streaming data with AI insights, vector search, and intelligent alerting.
Enterprise-Grade Security and Compliance
Pulse is built from the ground up with the security, access control, and auditability that enterprise teams demand. Every layer of the platform — from credential storage to script execution — is designed to protect your data and your workflows.
Sandboxed Execution
Every workflow script runs inside an isolated V8 context with a 128MB memory limit and configurable timeouts. There is no access to the Node.js runtime, file system, or network stack — only the explicitly injected functions and variables are available.
This sandbox model ensures that user-authored scripts cannot interfere with the host process, access other tenants' data, or exhaust system resources, even under adversarial conditions.
Write-Only Credential Vault
API keys, model tokens, and secrets are encrypted at rest and follow a strict write-only security model. Once stored, credentials are never exposed through the API or admin interface — only the variable name is visible when editing.
Credentials are decrypted exclusively at runtime inside the V8 isolate, ensuring that even users with administrative access cannot retrieve raw secret values after initial configuration.
Role-Based Access Control
A four-tier permission model — System, Admin, User, and Guest — provides granular control over who can create workflows, manage entities, configure variables, and invite team members. Permissions are enforced at the API layer on every request.
Organizations can scope access by environment, ensuring that development and production configurations remain strictly separated with independent variable sets and credential stores.
Enterprise Identity
Powered by Auth0 Organizations, Pulse supports Single Sign-On, multi-factor authentication, and social logins out of the box. For enterprise deployments, connect your existing identity provider via SAML, OIDC, or Active Directory.
Team members are invited via email, roles are assigned per organization, and access can be revoked instantly — giving administrators complete control over who has access to the platform at all times.
Built for Scale
Every component of the Pulse platform is engineered for high-throughput, low-latency performance on AWS infrastructure.
AWS Kinesis-powered ingestion with configurable worker pool sizes handles massive event volumes.
From Kinesis record to V8 evaluation to intelligent output in sub-second round trips.
Every workflow step logged with timestamps, durations, and outcomes, persisted to S3.
AWS ECS-managed containers scale up and down with demand. No manual provisioning.
Pulse runs on a cloud-native architecture designed for reliability at scale. The Stream Consumer uses a worker pool model where each worker processes messages through isolated V8 contexts with strict memory and timeout boundaries. Pre-compiled scripts are loaded once at startup and reused across evaluations, eliminating per-message overhead.
All workflow results — successes, failures, and ignored messages — are persisted to S3 with full execution logs, giving your team a complete audit trail with step-by-step timing data, AI-generated error suggestions, and the ability to replay any message for debugging.
Ready to Get Started?
Whether you're powering live broadcast content, translating events for global audiences, or automating enterprise workflows — Pulse gives your team the real-time AI infrastructure to move at the speed of live.