# How NextDimension AI replaced a Clay, Apollo and Smartlead workflow with one platform

> NextDimension AI moved its specialty outbound off Clay, Apollo and Smartlead to one Dmand AI login in eight days. See its market, old workflow and results.

Source: https://dmand.ai/customers/nextdimension-ai · Last updated: 2026-11-04

![NextDimension AI](https://storage.googleapis.com/dmand-website/2026/11/nextdimension-ai-logo-mw25sxub.png)

Customer story

NextDimension AI sells AI agents that run the front office of specialty practices. Its commercial team was running outbound on four tools, and one 170-person list came back with 50 usable emails. Eight days after the first call, it moved to Dmand AI.

[Start free trial](https://app.dmand.ai/signup?from=customer_story&src=customer_story%3A%2Fcustomers%2Fnextdimension-ai&cta=hero) [Book a demo](https://dmand.ai/book-a-demo)

- 30 days free
- Self-serve
- No credit card

The commercial lead

NextDimension AI

The decision in June 2026

Keep building outbound on four tools, or move the market, contacts and sending into one platform.

- ![Clay logo](https://storage.googleapis.com/dmand-website/2026/11/clay-logo-mw25t61v.png) Workbook and AI columns
- ![Apollo logo](https://storage.googleapis.com/dmand-website/2026/11/apollo-logo-mw25t6vc.svg) Practice lists and emails
- ![Smartlead logo](https://storage.googleapis.com/dmand-website/2026/11/smartlead-logo-mw25t6gs.png) Mailboxes and sending
- ![LinkedIn](https://storage.googleapis.com/dmand-website/2026/11/linkedin-logo-mw25t78s.svg) Sales Navigator Executives, by hand

Cost of the stack About $800 a month

- 8 days from the first call to buying Dmand AI
- 4 to 1 tools in the outbound workflow
- Saved $500 a month on outbound tools: about $300 now, against an estimated $800 before
- 50 of 170 leads had a usable email in the old workflow

In brief

- **Situation**: NextDimension AI was about to launch its first cold outbound campaign to specialty practices, with most new deals still coming from referrals.
- **Problem**: Its workflow ran across Clay, Apollo, Smartlead and Sales Navigator, with two steps done by hand and three AI columns guessing at practice data, including the EHR.
- **Decision**: After dropping Definitive Healthcare and passing on ZoomInfo, the team stopped building on Clay and moved to one healthcare platform.
- **Result**: Practices filtered by EHR, the physicians and executives at each site of care, their contacts, warm introductions and sending in one Dmand AI login.

The decision point

## In June 2026, NextDimension AI was about to start cold outbound on a four-tool stack

NextDimension AI first spoke with Dmand AI in June 2026, on the day it planned to launch its first cold outbound campaign. Most new deals still came from referrals by advisors, investors and customers, and the commercial team wanted a steadier second source of pipeline.

The team had already built an outbound stack: a Clay workbook for research, Apollo for contacts, Smartlead for sending and LinkedIn Sales Navigator for executives. The question was whether to keep improving it or move to one platform, knowing that every switch costs time.

> “Every new tool, with all due respect, comes with some new learning curve and challenges.”

_Commercial Lead, NextDimension AI_

About NextDimension AI

- **Website**: [nextdim.io](https://nextdim.io)
- **What it sells**: AI agents that run front office work for specialty practices: patient calls, procedure prep and prior authorizations
- **Sells to**: Owner physicians and executives at procedure-heavy specialty practices: GI first, then dermatology, ophthalmology and radiology
- **Where it started**: Gastroenterology, where its flagship customers are
- **Replaced**: Clay, Apollo, Smartlead and LinkedIn Sales Navigator
- **Published**: November 2026

Used in Dmand AI

- [Org Hierarchy Explorer](https://dmand.ai/platform/hospital-org-chart)
- [Physician Network Discovery](https://dmand.ai/platform/relationship-mapping)
- [Waterfall Contact Enrichment](https://dmand.ai/platform/waterfall-enrichment)
- [Zeus AI SDR](https://dmand.ai/platform/ai-sdr)
- [Sales Engagement Suite](https://dmand.ai/platform/sales-engagement)

The market

## NextDimension sells to 7,450 specialty groups, and MSOs own more than 1 in 5 of the large ones

NextDimension’s buyers run procedure-heavy specialty practices, where the front office carries the patient calls, procedure prep and prior authorizations its agents take over: gastroenterology first, then dermatology, ophthalmology and radiology, including groups that private equity owns through a management services organization (MSO).

In Dmand AI, **7,450 single-specialty groups in those four specialties sit outside health systems**. 1,881 have 15 or more practitioners, and MSOs own 422 of them.

At each practice the team sells to two groups of people: the physicians who own and run it, and its executives, from the C-suite to operations and IT leaders at manager level and above. Dmand AI holds about 11,000 of those executives at these groups and the organizations that own them.

_Where NextDimension’s buyers are Single-specialty groups outside health systems, one dot per group at its ZIP code, November 2026_

![Map of the United States with one dot per ophthalmology, radiology, dermatology or gastroenterology group outside health systems, densest in the Northeast, Florida, Texas and California](https://storage.googleapis.com/dmand-website/2026/11/specialty-groups-map-mw264g97.png)

**United States** 7,450 groups

State

Point at or tap a state to see its groups, or pick it from the list. Press a specialty to show only its groups.

United States: 7,450 groups

**Groups by state**

| State | Ophthalmology | Radiology | Dermatology | Gastroenterology | Total |
| --- | --- | --- | --- | --- | --- |
| California | 326 | 230 | 236 | 98 | 890 |
| Florida | 226 | 206 | 166 | 68 | 666 |
| New York | 203 | 160 | 139 | 68 | 570 |
| Texas | 186 | 137 | 160 | 62 | 545 |
| New Jersey | 108 | 97 | 76 | 33 | 314 |
| Pennsylvania | 122 | 68 | 57 | 26 | 273 |
| Illinois | 99 | 76 | 49 | 34 | 258 |
| Michigan | 98 | 67 | 69 | 23 | 257 |
| Georgia | 57 | 64 | 45 | 28 | 194 |
| Virginia | 60 | 50 | 63 | 15 | 188 |
| North Carolina | 58 | 56 | 55 | 18 | 187 |
| Massachusetts | 64 | 33 | 57 | 25 | 179 |
| Ohio | 70 | 46 | 40 | 22 | 178 |
| Arizona | 47 | 47 | 60 | 20 | 174 |
| Maryland | 59 | 38 | 42 | 16 | 155 |
| Colorado | 44 | 37 | 51 | 11 | 143 |
| Louisiana | 62 | 36 | 34 | 9 | 141 |
| Washington | 50 | 42 | 41 | 5 | 138 |
| Tennessee | 54 | 46 | 25 | 11 | 136 |
| Alabama | 34 | 46 | 30 | 11 | 121 |
| Indiana | 45 | 46 | 17 | 10 | 118 |
| Missouri | 48 | 30 | 29 | 11 | 118 |
| Connecticut | 30 | 41 | 26 | 12 | 109 |
| Oregon | 34 | 31 | 22 | 5 | 92 |
| South Carolina | 36 | 20 | 30 | 6 | 92 |
| Kentucky | 23 | 28 | 21 | 2 | 74 |
| Utah | 32 | 15 | 24 | 2 | 73 |
| Oklahoma | 24 | 26 | 16 | 4 | 70 |
| Mississippi | 27 | 22 | 15 | 3 | 67 |
| Nevada | 23 | 24 | 13 | 6 | 66 |
| Minnesota | 28 | 18 | 15 | 0 | 61 |
| Wisconsin | 21 | 28 | 6 | 6 | 61 |
| Arkansas | 23 | 15 | 11 | 6 | 55 |
| Kansas | 24 | 17 | 9 | 3 | 53 |
| Iowa | 15 | 22 | 14 | 1 | 52 |
| Idaho | 20 | 14 | 9 | 6 | 49 |
| Nebraska | 17 | 17 | 6 | 0 | 40 |
| Alaska | 7 | 22 | 6 | 3 | 38 |
| Rhode Island | 12 | 7 | 6 | 10 | 35 |
| New Hampshire | 10 | 14 | 5 | 3 | 32 |
| Delaware | 13 | 12 | 5 | 1 | 31 |
| New Mexico | 10 | 8 | 9 | 2 | 29 |
| West Virginia | 6 | 14 | 6 | 3 | 29 |
| District of Columbia | 9 | 3 | 12 | 2 | 26 |
| Hawaii | 16 | 3 | 4 | 3 | 26 |
| Maine | 10 | 11 | 4 | 1 | 26 |
| Montana | 7 | 9 | 8 | 0 | 24 |
| Wyoming | 1 | 13 | 4 | 2 | 20 |
| South Dakota | 8 | 4 | 4 | 0 | 16 |
| Vermont | 7 | 2 | 5 | 1 | 15 |
| North Dakota | 7 | 3 | 0 | 0 | 10 |

Groups drawn on the map, by the state of their ZIP code. The states add up to 7,314: the other 136 groups have no usable ZIP code or are in Puerto Rico, so the national counts above are higher.

Ownership is what a domain list hides. An MSO sits above the practice, and one practice can run several sites under several web domains. [Org Hierarchy Explorer](https://dmand.ai/platform/hospital-org-chart) shows the MSO, each group it owns and every site under the group.

_Large groups owned by an MSO Single-specialty groups with 15 or more practitioners, by owner, November 2026_

- Owned by an MSO
- Other owners

- Dermatology 290 groups Owned by an MSO 34%, Other owners 66%
- Ophthalmology 374 groups Owned by an MSO 31%, Other owners 69%
- Gastroenterology 172 groups Owned by an MSO 30%, Other owners 70%
- Radiology 1,045 groups Owned by an MSO 15%, Other owners 85%

One MSO-owned group in Org Hierarchy Explorer

Harbor GI Partners, a management services organization, owns Alder Creek Gastroenterology, which runs four sites of care: Alder Creek Downtown (office, aldercreekgi.com), Alder Creek North (office, aldercreekgi.com), Alder Creek Endoscopy (ambulatory surgery center, acendoscopy.com) and Alder Creek Digestive Health (office, acdigestive.com).

One practice, **three web domains**. A list keyed by domain counts it as three accounts and misses the MSO above it.

Who NextDimension sells toAt the group, its sites and its MSO

- **Owner physicians** Managing partners and medical directors
- **C-suite** CEO, COO and CFO
- **Operations leaders** Practice administrators and up
- **IT leaders** IT managers and up

_Example of an MSO-owned GI group in Org Hierarchy Explorer: the MSO, the group it owns and the group’s four sites of care, each with its web domain. The organizations are examples._

The problem

## NextDimension’s four-tool workflow found a usable email for 50 of 170 leads

The team built its workflow in a Clay workbook. Getting from a list of practices to a sent email took eight steps across four tools: two of them by hand, and three AI columns guessing at data that a healthcare database already holds.

_From a practice list to a sent email, the old way 8 steps, 4 tools_

| Step | What happened | Done by |
| --- | --- | --- |
| Build the practice list | Exported from Apollo. | Apollo |
| Copy each provider page | By hand, from each practice website, so the AI would not misread it. | By hand |
| Pull the roster | A Clay AI column turned each page into a list and dropped nurses and other roles. | Clay AI column |
| Pick the decision makers | A second, more expensive AI column chose the top five or six people. | Clay AI column |
| Find the executives | By hand in Sales Navigator, one practice at a time, saved to an Apollo list. | By hand |
| Guess the EHR | A third AI column read patient portal links and predicted the vendor. | Clay AI column |
| Find emails | Apollo first, then fallback email finders, merged into one column. | Apollo |
| Send | A CSV exported to Smartlead, three templated emails three days apart. | Smartlead |
| Result | 50 usable emails from a 170-person list |  |

The output was thin. On that list the workflow found emails for 100 people, and Smartlead’s check marked half of them invalid. Across target accounts, about 40% of the people the team could name had no working email, and a personal email to a high-priority practice took about an hour of research.

> “We know their names, we know who they are, but no great way of getting in front of them.”

_Commercial Lead, NextDimension AI_

Because the workbook keyed accounts by web domain, a site that belonged to a current customer could also land on the target list.

The options

## NextDimension weighed Definitive Healthcare, ZoomInfo, an in-house build and one platform

The team had already dropped Definitive Healthcare after an extensive review, and ZoomInfo was out of budget. It had also started to think about building the missing pieces itself. Meanwhile Clay had become the most expensive part of the stack.

_The options, in the commercial lead’s words_

| Option | In their words | Outcome |
| --- | --- | --- |
| Keep building on Clay | “This is an enterprise tool now. This is not a startup friendly tool anymore.” | Dropped |
| [Add ZoomInfo](https://dmand.ai/compare/zoominfo) | “A bit out of budget.” | Passed |
| [Buy Definitive Healthcare](https://dmand.ai/compare/definitive-healthcare) | Dropped after an extensive review. | Dropped |
| Build it in-house | “We were thinking of eventually Claude coding our way into this whole thing.” | Not needed |
| Dmand AI | “Look, I’m pretty much sold. We should get started.” | Chosen |

What decided it was a walkthrough of the team’s Clay workbook. Dmand AI answered with the GI market, physician first: gastroenterologists in groups of 10 to 40, at ambulatory surgery centers, each tied to its group and the site where they practice. Within minutes the commercial lead had found an endoscopy center in a region the team was not targeting.

> “You are basically saying, go bottoms up, physician to account. We are in the mindset of going account to physician. I can see how bottoms up, you’re able to gather all this additional data, which is actually helpful.”

_Commercial Lead, NextDimension AI_

The team bought the $249 [Kickstarter plan](https://dmand.ai/pricing) in the app before that call ended.

What they did

## NextDimension now works down from the specialty market to each physician and executive, in five steps

Every campaign now runs the same five steps in one Dmand AI login, from the practices worth a call to a first email ready for review.

### Find the practices on the EHRs NextDimension’s agents work inside

Lists start in Dmand AI’s [medical group search](https://dmand.ai/data/medical-groups): specialty, size, owner, state and the EHR each group runs. NextDimension’s agents work inside the practice’s own systems, so the EHR filter keeps the list to practices the agents can work in, and the team sees how big a segment is before it spends a credit.

_Example of a medical group search in Dmand AI: gastroenterology groups with 15 to 40 practitioners in New York on three selected EHRs, with each group’s owner, kinds of locations and EHR. The groups are examples._

_Example of a medical group search in Dmand AI: GI groups of 15 to 40 practitioners in New York, filtered to three EHRs, with each group’s owner, locations and EHR._

### Go down to each site of care and the people who work there

Each group opens to its sites of care, from offices to endoscopy centers, and to the MSO above it. Dmand AI ties every physician and executive to the site where they work, not only to the group, and the EHR filter works at that level too: the physicians who practice at sites on a given EHR, and the managing partners, administrators and operations leaders who decide.

_Example of a site of care in Dmand AI: Kestrel Digestive Care’s endoscopy center in Saratoga Springs, New York, on athenahealth, with the executives and the physicians who work at that site. The practice and people are examples._

_Example of a site of care in Dmand AI: an endoscopy center on athenahealth, with the executives and the physicians who work there._

### Get verified contacts for the people who decide

Contacts come from [waterfall contact enrichment](https://dmand.ai/platform/waterfall-enrichment), which checks healthcare-specific sources in turn for each physician and executive and verifies the email before a sequence sends to it. The team pays for the contacts it picks, not for a list.

40% better healthcare contact coverage than ZoomInfo and Apollo, the tools NextDimension had used or priced for contacts. Dmand AI’s benchmark of [waterfall contact enrichment](https://dmand.ai/platform/waterfall-enrichment), not a NextDimension result.

### Turn advisors into warm introductions with Physician Network Discovery

Introductions from advisors, investors and customers were still NextDimension’s best source of deals, but asking for one depended on who happened to remember whom. On the first call, the commercial lead ran [Physician Network Discovery](https://dmand.ai/platform/relationship-mapping) on one of the team’s own physicians and called the result “very, very valuable.”

Now the team adds the physicians it already knows, its physician advisors and the physicians at its customers, and Discover Network lists the physicians they connect to: who trained in the same program, wrote papers together or work at the same group or hospital, with a connection strength from 0 to 100. Before asking for an introduction, the team brings the advisor a short list and one question.

_Example of Physician Network Discovery: the profile of a GI group’s managing partner, showing how two of the team’s physician advisors know him, through a fellowship and papers written together, with the strongest path picked. The physicians are examples._

_Example of Physician Network Discovery: how two of the team’s physician advisors know a GI group’s managing partner, with the strongest path picked._

> “Do you actually know these people?”

_Commercial Lead, NextDimension AI, on asking advisors for introductions_

The same check runs before the team brings on a new physician advisor, to see which practices that advisor’s network reaches. The team has used Physician Network Discovery regularly since June.

### Let Zeus AI SDR draft the first email, sent from domains the team owns

[Zeus AI SDR](https://dmand.ai/platform/ai-sdr) researches each person and practice and drafts the first email from what Dmand AI holds: the role, the site, the EHR and any new signal. The team reviews every draft before it sends. At onboarding, the Dmand AI team set up sending with NextDimension around four choices.

_How the team set up sending_

- **Domains the team owns**

  New domains bought for outbound, so their reputation stays with NextDimension if tools change.

- **Mailboxes warmed up first**

  About ten days of slow, rising volume before the first campaign email.

- **A short first email**

  Three emails in a sequence. The first one asks a question and carries no links.

- **Senior senders**

  Mailboxes for company leaders, since emails from senior people tend to get more replies.

What Zeus used

1. **The right person** The practice administrator runs the front desk the agents take over.
2. **A new site** An expansion signal on the group’s page.
3. **The EHR at the site** From the site’s profile, not a guess from its patient portal.
4. **One question, no links** The first-email rule the team set at onboarding.

Example of a first email Zeus AI SDR drafted for a practice administrator, with the four facts it used from Dmand AI marked in the text. The practice and people are examples. To Carla Nunez, Practice administrator, Kestrel Digestive Care. Subject: Recall calls across Kestrel’s four sites. Hi Carla, Congratulations on opening the endoscopy center in Saratoga. A fourth site usually means more recall and prep calls at the front desk. Our agents answer those calls inside athenahealth, so your staff keep the workflow they know. How is your team handling recall reminders today? The NextDimension AI team.

_Example of a first email Zeus AI SDR drafted for a practice administrator, with the four facts it used from Dmand AI marked in the text. The practice and people are examples._

_From first call to first campaign_

1. **First call** Physician Network Discovery, tried on one of the team’s physicians, on the day the first cold campaign was due to launch
2. **Next day** A walkthrough of Zeus AI SDR and of asking advisors for introductions
3. **8 days later** Clay workbook review, the GI market by group size, and the plan bought in the app
4. **3 weeks later** Onboarding: new domains, warmed-up mailboxes and the first campaign
5. **2 months later** The co-founder and CEO gives Dmand AI 5 stars in a [review on G2](https://www.g2.com/products/dmand-ai/reviews/dmand-ai-review-13329782)

What happened

## NextDimension now runs its specialty outbound from one login, for less than half the cost

Clay was the first tool to go, and the other three followed. The practices, the people at each site, their contacts, warm introductions, research and sending now sit in one login, and the money that went to AI columns guessing at rosters and EHRs no longer leaves the budget.

_Before and after Dmand AI Old workflow against Dmand AI_

- Monthly cost of outbound tools

  $800 Before

  $300 After

- Tools in the workflow

  4 Before

  1 After

- Data lookups done by hand

  2 Before

  0 After

- AI columns guessing at practice data

  3 Before

  0 After

Before: monthly list prices for Clay, Apollo, Smartlead and LinkedIn Sales Navigator, and the team’s own counts. After: the Dmand AI Kickstarter plan with mailboxes and domains. Rosters, executives, decision makers and the EHR now come from each group’s and site’s page in Dmand AI instead of copied web pages, Sales Navigator and AI columns.

_What changed in NextDimension’s outbound_

| The job | Before | With Dmand AI |
| --- | --- | --- |
| Size the market | Unknown: a search showed results, not how many groups exist | Every specialty group, by size, owner, EHR and site of care |
| Define the account | A web domain, sometimes three per practice | The group, its MSO and its sites of care in [Org Hierarchy Explorer](https://dmand.ai/platform/hospital-org-chart) |
| Find the EHR | Guessed by an AI column from patient portal links | On each group’s and site’s profile, and a filter for practices and physicians |
| Find the people | Sales Navigator by hand, one practice at a time | The physicians and executives tied to each site of care |
| Find emails | Apollo, then fallback finders, then a separate check | [Waterfall contact enrichment](https://dmand.ai/platform/waterfall-enrichment), verified before sending |
| Warm introductions | Asking advisors and investors who they happened to know | A list of who each advisor knows, from [Physician Network Discovery](https://dmand.ai/platform/relationship-mapping) |
| Write and send | CSV export to Smartlead, on a domain Smartlead held | [Zeus AI SDR](https://dmand.ai/platform/ai-sdr) drafts, and email goes out from NextDimension’s own domains |

> I love how it automatically researches prospects and writes hyper-personalized emails, saving me hours every day by eliminating manual research. […] The real value is speed and scale, as I can reach significantly more prospects every week with personalized, high-converting messages that don’t look like generic automated spam.

_Simran K. Co-founder & CEO, NextDimension AI Verified review on G2, August 2026_

[Read the review on G2](https://www.g2.com/products/dmand-ai/reviews/dmand-ai-review-13329782)

![Simran K., Co-founder and CEO of NextDimension AI](https://dmand.ai/images/home/people/simran-k.jpg)

Next, the team plans to take the same playbook beyond GI, to the 6,718 dermatology, ophthalmology and radiology groups in its market.

Lessons for your team

## Four lessons for small teams selling to specialty practices

1. ### Size the market before you build a list

   Work down from specialty, size, owner and EHR to each group and its sites. NextDimension’s market turned out to be four specialties, not one, and at MSO-owned groups the person who decides may sit above the practice.

   Ask your team

   How many practices fit your ideal customer profile, and who owns each one?

2. ### Count usable emails, not found emails

   A source that returns plenty of emails can still leave you with few you can send to. Judge a data source by what survives verification, not by how many rows it returns.

   Ask your team

   Of every 100 people on your list, how many can you actually email?

3. ### Stop paying AI to guess what healthcare data already holds

   Three of the eight old steps were AI columns guessing at rosters, decision makers and the EHR. A healthcare database already holds those facts at each site of care, so the AI can go to research and writing instead.

   Ask your team

   Which steps in your workflow are guesses at facts you could look up?

4. ### Bring advisors a list, not a favor

   An advisor who is asked “do you know anyone at Kestrel?” has to remember. An advisor shown the physicians their training, papers and practices connect them to only has to say yes or no.

   Ask your team

   Which of your advisors’ colleagues are already on your target list?

Circle Health

> I like Dmand AI’s extremely curated and comprehensive healthcare database, which you won’t find on any other platform with this level of detail. The ability to filter by specialty, location, independent physician or not, and many others is incredibly useful.

_Anupam D. Founder & CEO, StratAnalyze (for Circle Health) Verified review on G2, September 2026_

[Read the review on G2](https://www.g2.com/products/dmand-ai/reviews/dmand-ai-review-13413983)

![Anupam D., Founder and CEO of StratAnalyze, for Circle Health](https://dmand.ai/images/home/people/anupam-d.jpg)

FAQ

## Questions about selling to specialty practices

Can’t find your answer? Email [hello@dmand.ai](mailto:hello@dmand.ai) or book a demo with our team.

**How do you find specialty practices to sell to?**

Search medical groups in Dmand AI by specialty, size, owner, state and EHR, then open each group to see its sites of care, leaders and physicians. Dmand AI holds 7,450 single-specialty gastroenterology, dermatology, ophthalmology and radiology groups outside health systems, and 1,881 of them have 15 or more practitioners.

**Who makes buying decisions at a specialty practice?**

Two groups of people. The physicians who own and run the practice, such as managing partners and medical directors, and its executives: the C-suite, plus operations leaders from the practice administrator up and IT leaders from IT manager up. At an MSO-owned group, the same executive roles also sit at the MSO. Dmand AI ties each of them to the site of care where they work.

**How do you find practices owned by private equity?**

Look for the owner, not the practice website. Private equity usually owns practices through a management services organization (MSO). In Dmand AI, filter medical groups by owner, then open the MSO to see every group and site under it. MSOs own 422 of the 1,881 GI, dermatology, ophthalmology and radiology groups with 15 or more practitioners.

**How do you find which EHR a practice or physician uses?**

Open the group in Dmand AI: each site of care shows its EHR, and EHR is a filter for practices and for physicians, so you can list the groups on one EHR, or the physicians who practice at sites on it, before you write. NextDimension’s old workflow guessed the EHR with an AI column that read each practice’s patient portal links.

**How do you get warm introductions to physicians?**

Start from the physicians you already know, such as advisors, customers and KOLs. Physician Network Discovery in Dmand AI lists the physicians they trained, worked, published or ran clinical trials with, scores each connection from 0 to 100, and shows how the two know each other, so you can ask your contact about a short list of names instead of a vague favor.

**Is there a Clay alternative for healthcare outbound?**

Yes. Dmand AI does the jobs NextDimension AI had built in a Clay workbook, starting from a healthcare database instead of AI columns: medical groups with their owners, sites of care, EHR, leaders and physicians, then waterfall contact enrichment, AI research columns, Zeus AI SDR and sequences in one login. NextDimension moved off its Clay workbook eight days after its first call.

**What is a Definitive Healthcare alternative for a small sales team?**

NextDimension AI dropped Definitive Healthcare after an extensive review and chose Dmand AI, where the market, contacts, research and sending share one login. Plans start at $249 per user per month, and the trial is 30 days free, self-serve, with no credit card.

Your own specialty market

Size your specialty market and reach the people who decide, from one login

Find specialty practices by EHR, size and owner, reach the physicians and executives at each site of care, and send researched first emails without stitching tools together.

[Start free trial](https://app.dmand.ai/signup?from=customer_story&src=customer_story%3A%2Fcustomers%2Fnextdimension-ai&cta=closing_cta) [Book a demo](https://dmand.ai/book-a-demo)

- 30 days free
- Self-serve
- No credit card