AI-Native Development Operations

Cancel five SaaS tools.
Replace them with one.

ProductIntel replaces Jira, Confluence, ServiceNow, and your competitive intelligence stack with a single AI-native platform. 21 modules. 21 AI agents. Full traceability. A fraction of the cost.

21

Modules

6 capability groups

21

AI Agents

orchestrated via AgentWeave

1/50th

The Cost

vs enterprise tool stack

100%

Traceable

every AI decision explained

The Problem

Mid-market teams spend $200K–$1M/year on disconnected tools that don't talk to each other. Then they spend more connecting them.

Tool Sprawl

Jira for work, Confluence for docs, ServiceNow for cases, Gong for intelligence, Salesforce for CRM. Five logins, five data silos, five invoices.

AI Bolted On

Legacy tools are adding AI features as afterthoughts. A chatbot in Jira doesn't know about your Confluence docs. Nothing is connected.

No Intelligence Layer

Small teams can't afford competitive analysts, ML ops engineers, or AI strategists. Enterprise tools assume you already have them.

The Platform

Six capability groups. One knowledge graph.

Every module feeds a shared knowledge graph. A support case informs a story. A story triggers agent execution. Agent output trains the intelligence layer. Nothing exists in isolation.

Workspace

4 modules

Your daily operating environment. AI-powered work management, sprint boards, knowledge base, and case management — replacing Jira, Confluence, and ServiceNow in one unified space.

DashboardAI triage: what needs attention, why, and what to do about it
WorkBacklog, sprints, kanban board with AI recommendations and smart assignment
KnowledgeContext Engine — docs that power every AI decision across the platform
CasesSupport cases with auto-enrichment and smart story handoff

AI Workforce

3 modules

Define your AI agents and compose them into teams. Set strategy, assign supervisors, configure guardrails, and export configurations to Claude Code, Cursor, and Copilot.

DashboardAI narrative briefing, token spend, team standings
RosterAgent trading cards with specialties, tiers, stats, and earned badges
TeamsCompose agent teams with strategy, supervisor styles, and guardrails

Intelligence

2 modules

Automated competitive intelligence, strategic research, and behavioral learning. The capabilities a small team can't afford to hire for.

Intelligence HubKnowledge graph, research topics, industry monitoring, Logic Inspector
BehaviorsLearned heuristics from how your team operates

Company / Customers

3 modules

Your business context. Company profile, CRM-lite with AI-powered health scoring, and an external-facing RAG chatbot — all connected to your knowledge graph.

Company ProfileStrategic foundation — goals, competitors, positioning, and constraints
AccountsClient health scoring, risk tracking, contacts, deal pipeline
Consumer ChatExternal-facing RAG chatbot powered by your knowledge base

Operations

4 modules

Monitor, measure, and optimize your AI workforce in real-time. Trace every inference, A/B test team configurations, benchmark performance, and right-size model costs.

MonitorReal-time activity — see agents working live with execution logs
LeaderboardRankings and Training Arena for A/B testing team configurations
Model CalibrationGolden test cases, side-by-side model comparison
Inference InspectorFull traceability — retrieval sources, prompts, and reasoning context

Settings

2 modules

Agent registry, model configuration, demo data generation, and system administration. Everything is data-driven — no code changes required.

Demo GeneratorAI-powered industry-specific demo data generation
AdminAgent registry, model config, onboarding, module toggles

Every module can be enabled, disabled, or swapped — from the admin UI, no deploy required.

AI-First, Not AI-Bolted

Every decision point presents an AI recommendation before manual controls. You approve — you don't operate.

L1 — Recommend

AI Triage

Open your Work page and AI tells you what needs attention, why it matters, and what to do about it. Cost estimates, risk assessments, and recommended actions — before you ask.

Foundation

Context Engine

Your product knowledge powers every AI decision. Architecture, conventions, API patterns, and business rules feed a RAG pipeline that gives agents near-expert understanding.

Trust

Full Traceability

Every AI response includes what was retrieved, what the model received, and a plain-English explanation of why. Inference Inspector makes AI auditable for non-technical stakeholders.

Management

Agent Workforce

Manage AI agents like employees. Compose teams, set strategy (quality vs speed vs cost), assign supervisors, track performance, and A/B test configurations.

Architecture

Fork and Customize

Not multi-tenant. Each company forks the repo and owns their instance. Toggle modules, customize agents, swap models — all data-driven from the admin UI.

Economics

Cost Disruption

Replace a $200K–$1M enterprise tool stack with a single platform at a fraction of the cost. AI token costs are dropping 100x while per-seat SaaS prices keep rising.

Getting Started

AI that gets smarter the more you tell it.

ProductIntel's AI works out of the box — but it works dramatically better with your product context. Choose how much to share based on your timeline.

Quick Start

Minimum Viable Context
~5 min~70%

Answer 17 key questions about your product, team, and tech stack. AI starts recommending immediately — no documents needed.

Full Documentation

Maximum Effectiveness
~30 min~95%

Upload or write 5 core documents: Architecture, Conventions, API Patterns, Business Rules, and Testing Strategy. AI operates at near-expert level.

Code Import

Coming Soon
~10 min~85%

Point a local agent at your codebase. It scans repo structure, configs, and patterns, then auto-generates documentation in the right format.

Website Crawler

Coming Soon
~2 min~60%

Enter your website URL. AI scrapes public pages, extracts product info, identifies your market, and builds an initial context profile.

?

Why does context matter?

Every AI recommendation, agent execution, and triage decision draws from your Context Engine. With zero context, agents make generic suggestions. With Quick Start context, they understand your domain. With full documentation, they follow your team's actual conventions and business rules — making fewer mistakes and requiring less review.

Architecture

21 AI agents. One knowledge graph. Full traceability.

ProductIntel's AgentWeave framework orchestrates specialized AI agents through a shared knowledge graph. Each agent has scoped tool access, logs every decision, and passes only lightweight pointers — never full documents.

Pointer-based context passing (40x token reduction)
Per-agent tool scoping (principle of least privilege)
Full reasoning trails on every agent run
Multi-provider: Anthropic Claude + Google Gemini
Data-driven config — prompts, models, and tools in DB

AgentWeave Engine

Discovery → Analyst → Prototype → Persona → Product Owner

Observer · Librarian · Co-pilot · +12 more agents

Context Engine

Product knowledge → RAG pipeline → Agent context injection

Tiered onboarding: 17-field quickstart to full documentation

Unified Knowledge Graph

STORY ←→ DOC ←→ CASE ←→ REQUEST ←→ API

Typed directional edges · Confidence scoring

PostgreSQL 17 + pgvector

85+ tables · Full-text + vector search · Embedding pipeline

Roadmap

Built in the open. Shipping fast.

ProductIntel is under active development. Here's what's shipped, what's in progress, and where we're headed.

Shipped

Unified artifact model + knowledge graph

AgentWeave engine with 21 specialized agents

AI triage with recommendations on Work page

Context Engine with tiered onboarding

AI Workforce: roster, teams, strategy, supervisor, export

Training Arena for A/B testing team configs

Inference Inspector + Model Calibration

Consumer Chat (external RAG chatbot)

Personal AI Co-pilot (floating widget)

Anti-platform architecture (fork and customize)

Building Now

Feature requests + public roadmap + voting

NPS / CSAT surveys with analytics

Autonomous agent execution pipeline

Budget-aware smart assignment

Release notes auto-generation

Up Next

Adaptive UI — interface reshapes based on your role

Code import agent (scan repo, auto-generate docs)

Website crawler onboarding

Industry Intelligence feeds (Reddit, HN, RSS)

Deal pipeline + revenue attribution to features

Dark mode verification + mobile polish

On the Horizon

Agent coders that build features from backlog stories

Multi-tenancy + smooth deployment pipeline

Marketplace for agent templates and modules

Encrypted embeddings for sensitive IP

Open source release

Built with

Next.js 16React 19TypeScriptPostgreSQL 17Drizzle ORMAnthropic ClaudeGoogle GeminiVercelSupabase

Pricing

Replace your tool stack, not your budget.

We're working with early design partners to shape pricing. The goal: 1/50th the cost of the enterprise tools you're replacing.

Open Source

Coming Soon

Self-hosted, full platform access

  • All 21 modules included
  • Fork and customize
  • Community support
  • Bring your own API keys
Design Partner

Managed

TBD

We host, manage, and customize for you

  • Everything in Open Source
  • Hosted infrastructure
  • Automatic updates
  • Priority support + onboarding

Enterprise

TBD

For teams with complex requirements

  • Everything in Managed
  • Custom integrations
  • Dedicated support
  • SLA & compliance
Become a Design Partner

Get Started

Ready to see it in action?

Tell us about your team and we'll set up a personalized demo — or take our self-guided tour to explore the platform yourself.

Self-guided demo tour — no signup required

Full platform access — all 21 modules, no feature gates

Your own fork to customize and deploy

5-minute Quick Start onboarding