Paradigm
Paradigm · Productivity
Paradigm is an AI research workspace for go-to-market teams. It puts agents inside a spreadsheet, where they research accounts, track signals, and leave sourced answers your reps can act on.
About Paradigm
What Is Paradigm
Paradigm is an AI-native workspace built around a spreadsheet. Instead of adding fixed fields to a list of companies, you describe what a good account looks like for your team, and agents go research each row against that description. The output stays in cells, next to the evidence that produced it.
The product targets the GTM research work that sits between a raw account list and a sales conversation. Think of it as sales intelligence you can inspect rather than a score you have to trust. A rep wants to know which accounts just raised a round, changed a data leader, or started hiring in a new region. Paradigm runs those questions across a whole market and keeps the answers structured enough to sort, score, and hand to someone else.
Two limits matter before you buy. There's no free tier, and pricing starts at $250 per month, so it's built for teams with a real research budget rather than individual experiments. It's also a web app, which means the work lives in Paradigm's workspace and reaches your CRM through connectors instead of replacing it.
Getting Started
- Create a workspace and pick a starting point. You can open a blank sheet, upload a CSV of accounts, or start from a template that already has columns for research, scoring, and summaries.
- Name your first column and describe the research you want. A prompt like "find the VP of Data and their most recent public statement" is enough. Set the column type to text, number, checkbox, URL, email, or select so results stay usable.
- Run the column and watch the agents work. Each cell fills with an answer, and you can open any cell to see the steps taken and the sources used.
- Add columns that build on each other. One column researches, another scores fit, another writes a short brief. Together they form a workflow you can reuse or share with your team.
- Turn findings into action. Push updates to your CRM, alert the account owner in Slack, or draft outreach with the evidence attached.
Product Information
A quick look at Paradigm's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Account executives
- RevOps and GTM engineers
- Founders and small sales teams
Tasks
- Defining ideal customer profile fit beyond database filters
- Monitoring account changes
- Cleaning up CRM records with sourced data
- Writing outreach with evidence attached
Scenarios
- Building a territory plan for a new quarter
- Preparing for an ABM campaign
- Replacing a stack of manual research tabs
Key features
Agentic Account Research
Each column runs a prompt of your own design against every row, so the research question comes from your team rather than a fixed field list. AI agents browse multiple sources, compare what they find, and write an answer into the cell. You can run a sample of ten rows first, check the quality, then scale the same column to the full list.
Signal Tracking
Signals monitors the events your team decides are worth watching, from market moves to buying intent. When something changes, the relevant account row updates, and the change can trigger a CRM update or a Slack alert through the action layer. It turns a static list into something that stays current between campaigns.
Source Tracing and Blank Cells
Every result can be opened to show the steps an agent took and the sources it cited. When the answer isn't findable, Paradigm leaves the cell empty rather than guessing. That behavior is the main reason the output is safe to act on: a blank tells you to look manually, and a filled cell comes with a trail you can check.
Workflow Columns and Templates
Seven column types cover text, numbers, checkboxes, URLs, emails, and select lists, and columns can depend on the output of earlier columns. Templates package a set of columns into a reusable workflow, so a playbook built by one rep can be applied by the whole team. A chat panel handles changes in plain language when you don't want to rebuild a column by hand.
Action Layer and Connectors
Research is only useful if it reaches the place where work happens. Paradigm connects to Salesforce, HubSpot, Slack, Google Drive, and Notion, so findings can update records, notify owners, or sit next to existing account context. Webhooks and email campaigns cover the cases where a native connector isn't available.
Team Workspace and Enterprise Controls
Credits are pooled across a workspace, so a heavy research week for one rep draws from the same balance as the rest of the team. Enterprise plans add role-based access controls, SAML or OIDC single sign-on, domain verification, optional tenant isolation, and custom credit pricing. Paradigm holds SOC 2 Type 2 certification and states that it doesn't train on customer data.
Pros and cons
Pros
- Research questions come from your team's criteria, so the output covers signals that generic enrichment fields miss.
- Every answer can be traced to its sources, and missing data stays blank instead of turning into a plausible guess.
- The spreadsheet interface means sales and RevOps users can build a workflow without writing code.
- Signals keep account data current between campaigns rather than freezing a list on the day it was built.
- Connectors to Salesforce, HubSpot, Slack, Google Drive, and Notion put findings where the team already works.
Cons
- At $250 per month for one seat and $1,250 for Business, it costs more than most enrichment tools and rules out casual testing.
- Credit use per cell varies with how hard the research is, so a large run can be harder to budget than a flat per-record price.
- There's no free plan, so evaluating it means a paid month or a sales conversation.
- It's a web workspace, which means an added tool in the stack rather than something that runs inside your CRM.
Frequently asked questions
Paradigm runs AI research across a list of companies or contacts. You describe what you want to know in a column prompt, agents research each row from public and connected sources, and the answers land in a spreadsheet you can sort, score, and sync to your CRM.
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