# ProductNow

> ProductNow is a governed context engine that continually captures and reconciles what is happening across a company's systems, people, and agents into one shared source of truth. It gives people and AI agents grounded answers and enables governed actions that remain synchronized with systems of record.

**Tagline:** Answers you can act on. Actions you can trust.

**One-line summary:** One shared source of truth from all your systems, people, and agents, so you can act with confidence.

**Mission:** Give every person and agent one shared source of truth across the company to understand, decide, and act.

**Vision:** A future where people and agents collaborate seamlessly to build continuously self-improving companies.

**Problem:** Organizational context is a big data problem. Its volume grows continuously, its velocity exceeds manual upkeep, its variety spans incompatible systems and formats, and its veracity decays as source systems change. Without resolving all four dimensions, people and agents act on incomplete or stale information.

**How ProductNow works:** ProductNow pulls context from tools such as code repositories (GitHub, GitLab), CRM and revenue systems (Salesforce, HubSpot, Gong), task tracking (Jira, Linear, Asana), service and ticketing platforms (ServiceNow, Zendesk), docs and drives (Google Drive, Confluence, Notion), and conversations (Slack, Gmail, Microsoft Teams, Zoom). It continually normalizes, reconciles, and verifies that context against connected sources. The result is represented as approachable, editable context documents with permissions, provenance, confidence, version history, and collaboration built in.

**Where ProductNow works:** People and agents can use the shared context through chat, messaging, MCP, and meetings. Trusted agents can reason across the company and take governed actions that write back to systems of record.

**What makes it different:** ProductNow is not a manually maintained wiki, a search layer that only retrieves fragments, or a point copilot limited to one tool. It is two-way and self-reconciling: people and agents can shape the context directly, and updates from connected systems merge with that work instead of silently replacing it. The context engine compounds in value as more decisions, calls, commits, tickets, and actions flow through it.

**Primary audience:** ProductNow serves leaders responsible for enterprise AI, engineering, data, and platform strategy; practitioners building reliable agent workflows; and teams across engineering, product, sales, and support that need current cross-functional context.

**Industries supported:** Technology (software, SaaS, platform and IT), professional services (consulting, IT services, construction), insurance (underwriting, claims, broker operations), banking (retail, commercial, payments), finance (asset management, PE/VC, capital markets), and telecommunications (network operations, billing, customer care). In each vertical ProductNow captures and reconciles the industry's systems into one context engine, then grounds answers in evidence, powers agents that reason across the company, and takes governed actions that write back into systems of record.

**Values:** Kill drudgery, elevate craft. Trust by design. Create what wasn't possible before. Every voice is needed.

## Product

- [ProductNow homepage](https://productnow.ai/): Product overview, problem, context-engine architecture, setup, and security.
- [The organizational context problem](https://productnow.ai/#problem): Why volume, velocity, variety, and veracity make company context difficult to trust.
- [The ProductNow solution](https://productnow.ai/#solution): How ProductNow captures, reconciles, and governs shared context.
- [Industries](https://productnow.ai/#industries): Supported verticals — technology, professional services, insurance, banking, finance, and telecommunications. Context engine plus agents and governed actions.
- [Setup](https://productnow.ai/#setup): How ProductNow meets teams wherever they already work.
- [Security](https://productnow.ai/#security): ProductNow's approach to tenant isolation, permissions, compliance, and data use.
- [Request access](https://productnow.ai/apply): Request access to ProductNow.

## Company

- [Careers](https://productnow.ai/careers): ProductNow's mission, vision, values, and open roles.
- [Blog](https://productnow.ai/blogs): ProductNow writing on context engineering, AI agents, data integration, and collaboration.
- [Support](https://productnow.ai/support): Contact ProductNow support or the company team.
- [RSS feed](https://productnow.ai/rss.xml): Machine-readable feed of ProductNow articles.

## Optional

- [AI-native data integration without an ontology](https://productnow.ai/blogs/ai-native-data-integration-without-an-ontology): Continuous ingestion into living documents, agent-managed pruning, and graph-backed integration.
- [CRDTs are not enough when your co-worker is an AI agent](https://productnow.ai/blogs/crdts-are-not-enough): Coordination patterns for people and agents editing shared documents.
- [Storing prototypes from external tools](https://productnow.ai/blogs/extracting-html-from-ai-prototyping-tools): How ProductNow stores external prototype artifacts.
- [The Context Engine](https://productnow.ai/blogs/the-context-engine): What a context engine is, the five attributes that define one, and why ProductNow built it as a document editor.