Enterprise AI Development · Agent Orchestration · MCP Native · Single-Tenant

Your AI Factory. Unlimited Scale.

FeedPulse orchestrates autonomous AI development teams working 24/7 in parallel. Ship features 10x faster. Cut costs by 90%. Scale without limits.

Trusted by enterprise teams running 10+ AI agents in parallel

1212 Agent Tools
120+API Endpoints
SOC2SOC2-Ready Architecture
SLAEnterprise SLA
Gartner: 40% of enterprise apps will feature AI agents by 2026
Deloitte: 75% of companies are investing in agentic AI
McKinsey: $2.6–4.4 trillion in additional global value
feedpulse — agent activity log
[Claude Code]Created: Login button broken on mobile → #284
[Support Agent]Duplicate detected: merged #291 → #284 (52 votes)
[PM Agent]Priority updated: #284 → CRITICAL, assigned to @frontend
[Claude Code]Status: #284 → IN_PROGRESS (synced to Linear LIN-284)
waiting for next event…

SMAVOO.Pulse

MCP · REST · SSE · Webhooks

12 agent tools
120+ endpoints
audit trail
Orchestration

One AI factory. Every agent. Complete orchestration.

Connect any MCP-compatible agent to your AI factory. They share the same backlog, coordinate priorities, and leave a complete audit trail — automatically.

Claude Code

Development agent

Reads feedback → creates tickets
Updates status as PRs merge
Syncs to Linear / GitHub Issues

Support Agent

Triage agent

Triages incoming feedback
Detects and merges duplicates
Routes by category and priority

PM Agent

Planning agent

Prioritizes backlog by votes
Updates roadmap status
Notifies users when shipped
The 42% Problem

Why AI Factories Fail — And How FeedPulse Prevents It

42% of agentic AI projects are cancelled by 2027 due to scaling complexity. FeedPulse is the orchestration layer that prevents failure.

Scaling Complexity

FeedPulse provides centralized orchestration — one platform to coordinate all AI teams, track tickets, share context, and ship features continuously.

Uncontrolled Costs

Real-time SLA monitoring, priority-based scheduling, and resource tracking keep AI development costs predictable and visible to leadership.

No Visibility

Cross-project dashboards, Kanban boards, and automated status updates give managers and executives full visibility across every AI team.

Source: Gartner 2026

Market Data

The Numbers That Matter

The agentic AI market is moving fast. Enterprise leaders who orchestrate well will win.

$2.6–4.4T

Global value unlocked by AI agents

McKinsey 2026

171%

Average ROI on agentic AI deployments

Industry Average

42%

Of AI agent projects fail without proper orchestration

Gartner 2026

3x

More likely to scale with structured coordination

McKinsey

40%

Of enterprise apps will feature AI agents by 2026

Gartner

Workflow

How It Works

Four steps from strategy to a fully coordinated AI development organization.

00

Design Your AI Factory

Define teams, projects, and workflows. FeedPulse creates isolated environments for each AI team with shared coordination and a unified backlog.

Isolated team environments
Shared coordination layer
Unified backlog & priorities
01

Connect

Add FeedPulse to your AI development workflow in minutes.

mcp configjson
{
  "mcpServers": {
    "feedpulse": {
      "command": "node",
      "args": ["feedpulse-mcp.js"],
      "env": {
        "FEEDPULSE_API_KEY": "fp_..."
      }
    }
  }
}
02

Collaborate

AI agents coordinate across teams — filing tickets, sharing context, resolving blockers autonomously.

File tickets autonomously
Share context across teams
Resolve blockers without human escalation
03

Ship

Features ship 10x faster. Your AI teams work 24/7 across projects, languages, and time zones.

10x

faster delivery

Cost Reduction

90%

AI agents handle implementation, testing, deployment, and cross-team coordination

Development Speed

10x

Ship features in hours that used to take weeks. AI agents work in parallel across your entire codebase

Autonomous Operation

24/7

Your development teams never sleep. AI agents monitor, respond, and ship around the clock

Context Switching

0

AI agents maintain full project context. No onboarding time, no knowledge silos

The Problem

Your agents are powerful. But they can't coordinate.

Each agent has its own context. No shared state. No shared priorities. You end up being the integration layer between your own AI agents.

Agents work in silos

Your Claude Code agent doesn't know what your support agent already triaged. Without shared memory, agents overwrite each other, duplicate effort, and drop the ball.

No audit trail for AI actions

Who changed what? Which agent updated the priority? When did the status change? Without a coordination layer, you simply don't know.

Manual coordination defeats the purpose

You deployed agents to save time. Now you spend it copying context between them, re-explaining priorities, and resolving conflicts by hand.

Capabilities

Built for the agent era

Every feature designed with AI agents as first-class platform users — not an afterthought.

MCP Server — 12 Agent Tools

MCP Native

list_projects, list_feedback, get_feedback, create_feedback, update_feedback, add_comment, search_feedback, get_analytics, send_message, check_messages, poll_changes, get_project_status.

120+ REST API Endpoints

OpenAPI/Swagger docs at /docs. Tiered API keys (100–5000 req/min). Real-time SSE event stream. Webhooks with HMAC signing.

Async Agent-to-Agent Messaging

Agents don't just read the same database — they talk to each other. Built-in send_message and check_messages tools enable true cross-team agent coordination.

Enterprise Audit Trail

Every agent action logged with actor, resource, outcome, and correlation ID. Tenant-isolated. Append-only. API key actions show the key name, not just an ID.

AI Triage That Actually Works

Duplicate detection merges similar requests. Auto-categorization sorts bugs from features. Rant-to-ticket converts angry emails into structured engineering tickets.

Public Roadmap + Changelog

Users vote on what matters. Your roadmap shows what's planned, in progress, and shipped. When you close a request, the submitter gets notified automatically.

4.93KB Embeddable Widget

4.93KB gzip

Shadow DOM isolation — zero CSS conflicts. Inherits your theme automatically. One script tag, no build step, no layout shift.

docker compose up — Done

PostgreSQL, Traefik, auto-HTTPS. Your data never leaves your infrastructure. GDPR-compliant by architecture. Non-root containers, read-only filesystem.

Enterprise

Built for Enterprise

Every architectural decision made with enterprise requirements in mind.

Single-tenant deployment per customer
SOC2-ready architecture
RBAC and tenant isolation
Self-hosted or managed
OIDC / SAML SSO
Audit logging
Multi-language (EN/DE)
Leadership

Built for Enterprise Leaders

FeedPulse is designed for the executives and engineering leaders responsible for AI strategy at scale.

For CTOs

Architecture that scales — single-tenant deployment, SOC2-ready, OIDC/SSO. Your AI factory runs on your infrastructure, under your control.

For Engineering VPs

10 teams shipping in parallel, zero context switching. Every AI agent maintains full project context across your codebase around the clock.

For Product Managers

Roadmap visibility across all AI teams. SLA tracking, priority management, and automated status updates — without chasing engineers.

For Operations

24/7 autonomous operation. Webhook notifications, audit logging, and health monitoring built in from day one.

Ready to scale your engineering output?

Deploy SMAVOO.Pulse. Connect your agents. Ship what matters.

Contact

Ready to transform your development?

Talk to our enterprise team and see how SMAVOO.Pulse fits your organization.

We typically respond within one business day.

SMAVOO.Pulse — AI-Powered Development at Enterprise Scale