neww.ai is one workspace, one agent layer, and one data spine spanning 30 verticals. We do not build a smarter chat; we build the operating system that closes the loop between a user's goal and the artifact, transaction, or decision that satisfies it.
24+ domains. One identity, one data model, one agent layer.
Why neww.ai exists
The previous era of software was a fight over interfaces. Every category picked its winner — a CRM, an inbox, a spreadsheet, an editor — and a knowledge worker ran 10 of them in parallel. Each tool owned a sliver of the user's context and none of them could act for them.
The AI era is a fight over outcomes. A user does not want a better chat with their CRM; they want the deal closed. They do not want a faster query in their finance app; they want the books closed and the taxes filed. The companies that win the next decade will be the ones whose agents take the goal and return the artifact — with the receipts.
That product cannot be a chat layer on top of legacy SaaS. It must be an operating system: shared identity, shared data, shared memory, shared tools, shared billing. Every domain reachable from one prompt. Every action verifiable. Every workflow re-callable. We are building that operating system. We started with the wedge — finance, search, marketing, CRM, agents — and we are extending it across every category of work.
Each pillar is shipped or actively in flight in the codebase today — not a roadmap promise.
Not 30 SaaS apps glued together — one operating system with 30 verticals (15 consumer, 15 enterprise) sharing one identity, one data model, one billing surface, one agent layer. Switching domains is a context shift, not a re-login.
A single goal-routing brain. The user states an outcome; the dispatcher decomposes it, picks specialist agents and tools, runs a verified plan, and reports artifacts. Streams a typed DAG plan with budget caps before any tool fires.
53 production-band engines wrapping best-in-class open source — Meilisearch, Qdrant, Crawl4AI, Firecrawl, Twenty CRM, Medusa, Lago, MLflow, Ollama, vLLM. We integrate, not rebuild. Cost per call collapses; capability per call compounds.
Cross-domain memory is the moat. Lessons from a finance run inform the next legal task. Procedural memory mines repeated workflows into reusable skills. Tier-graded retrieval keeps the right context in the right window.
Every domain agent runs with real tools — read_context, search_vector, run_read_only_sql, browser-use, OSS connectors. Tools execute against real Postgres, real Qdrant, real APIs. Hard SQL safety on read-only paths. No simulated outputs.
Cloud SQL is the source of truth across every domain. Workspace-scoped reads, audit-logged writes, durable agent runs. The same row that powers a CRM card powers the dispatcher's recall and the analytics chart.
The map evolves every cycle. What ships moves left; what slips moves right. Counts trace to docs/launch/COMPETITIVE_ANALYSIS_LAUNCH_DOCUMENT.md and the master repair plan.
We do not win by adding features to incumbents' categories. We win by collapsing categories into outcomes — and by being the only place where the outcome of one domain feeds the agent in the next.
| Domain | Revenue leader | Our wedge | How we win |
|---|---|---|---|
| Personal Finance | Mint, Copilot.money | An agent that closes books, files quarterly taxes, and chases invoices — not a passive dashboard. | Mint reads. neww.ai acts. Same data, but the agent reconciles, drafts, and books. |
| Search & Research | Perplexity, Google | Cross-source reasoning over the user's own data + the open web, with citations and a follow-up agent. | Perplexity answers. neww.ai answers, then files the report, books the meeting, and updates the CRM. |
| Marketing & Growth | HubSpot, Klaviyo, Customer.io | Campaigns generated, sent, measured, and re-optimized by an agent loop, not configured by a human in 12 tabs. | HubSpot sells seats for marketers. neww.ai replaces the marketer's 80% repeatable work. |
| CRM & Revenue Ops | Salesforce, HubSpot, Attio | A CRM where the AI updates the records, not the rep — every email, call, and meeting flows in. | Salesforce charges for fields. neww.ai charges for outcomes — closed deals, recovered dunning, expanded ARR. |
| Code & Build | Cursor, v0, Replit | Agent that ships full apps end-to-end with real preview, real deploy, and the rest of the OS attached. | Cursor edits files. neww.ai edits the file, runs the test, deploys, and updates the changelog in one loop. |
| Data & Analytics | Metabase, WrenAI, Hex | Conversational analytics over the user's full domain spine — not a separate warehouse to wire up. | Metabase needs an analyst. neww.ai is the analyst — schema, query, chart, narrative. |
| Commerce | Shopify | Storefront + ops + finance + CRM in one workspace, agent-managed across the whole funnel. | Shopify is a storefront. neww.ai is the storefront, the merchandiser, the support rep, and the CFO. |
| Agents Platform | Manus, AutoGPT, OpenAI Assistants | Agents with real tool-use, real memory, real budget caps, real verification — running on real domain data. | General agents wander. neww.ai's agents run inside a domain OS with the data and tools they need built in. |
Honest position per domain available in /vs for live comparison.
An OS is not a feature list — it is a set of recurring outcomes a user can rely on. These are the seven loops every domain in neww.ai is being built to deliver.
User states an outcome; dispatcher returns a verified deliverable.
Email, CRM, finance, and support inboxes triaged and resolved by domain agents.
Cross-domain research that ends in a written brief, not a chat transcript.
Repeated multi-step work auto-mined into a callable skill.
From product idea to running app with deploy, tests, and changelog wired.
Behavior signals in, segmented campaigns out, with attribution closed.
Security, license, and policy violations caught and fixed before they ship.
Each of the four moats below compounds with usage. The longer a user is in neww.ai, the more expensive it becomes for any single-category incumbent to replicate the surface area they get for one bill.
What you do in finance teaches the legal agent. What you sell in commerce informs the marketing campaign. Incumbents are siloed; we are not.
Every agent ships with executable tools that touch real systems. We measure success in artifacts produced, not tokens emitted.
53 engines wrapping best-in-class open source means our marginal capability cost approaches zero while incumbents pay to build each capability twice.
The buyer replaces 5–10 SaaS subscriptions, not adds an 11th. Pricing power follows because we are the consolidator, not the add-on.
COMPETITIVE_ANALYSIS_LAUNCH_DOCUMENT.md — and closed before we declare parity.