You built the outbound system. Stop being the single point of failure that keeps it alive.
Your tables need babysitting and the whole motion breaks when you step away. The fragility is the bottleneck, not the moat. Salesgear puts owned data, deep research, and send in one engine, so the system runs without you holding it up.
Empowering 1,000+ sales leadersand representatives to build a stronger sales pipeline.
A stack only you can run, or one engine that runs without you
On the left, the system you wired together. Five tools, credit meters draining, a prompt chain that breaks on the next model update, and a tag that says it needs you to run. On the right, one engine that owns the data, the research, and the send.
Every broken column and credit waterfall routes back to one person. When that person is out, the motion stops.
One owned foundation feeds research, copy, and send. No seam to debug and no stack only you understand.
Owned data, research, and send, with no provider waterfall to maintain
A researched record is wasted if it routes to a dead number or a flagged domain. Salesgear keeps the data, the deliverability, and the dialer on one owned foundation, so the engine you built reaches real people.
- 800M+ owned contacts at 95% mobile direct-dial accuracy, so the records you researched connect on the first try, not a switchboard.
- No waterfall of provider credits to maintain, accounts are auto-enriched with no per-enrichment metering to babysit.
- Deliverability enforced inside the platform, so well-researched emails are not torched by a warm-up tool you bolted on and forgot.
Research-grade signal without building the pipeline yourself
The reason your tables got complex is that good outbound needs real research, not a merge field. Salesgear runs deep research across 100+ sources on every contact and account, so you inherit the depth without owning the infrastructure.
- The contact layer comes parsed, the role change, the recent post, the why-now, per prospect, not scraped into a column you have to clean.
- The account layer comes structured, funding, hiring, market shifts, so the message reads like it came from someone who studied the company.
- Output you can trust downstream, clean structured fields, not a prompt chain that drifts every time a model updates underneath you.
It scales the motion without scaling the maintenance
Your job is leverage, not a help desk for the table you wrote. As you add reps and volume, the research engine just runs, so you ship the next play instead of firefighting the last one.
Reps run it without you
Title and Persona research is baked into every send, so reps get relevance by default instead of pinging you to fix the copy logic.
It runs when you are out
Research and writing are not held together by a stack only you understand, so the motion keeps going on PTO.
One bill, not a longer invoice
One $99 platform replaces a $300 to $470 per-seat stack, so adding volume does not add four more portals to reconcile.
For GTM engineers, answered
I already built this in Clay. Why move?
A Clay-style build works until it needs you. Every credit waterfall, broken column, and prompt regression routes back to one person, and the motion stops when that person steps away. Salesgear collapses owned data, deep research, copy, and send into one engine, so the leverage you built is not also the thing you babysit.
Do I lose control by giving up the table I wrote?
No. You keep approvals, edits, and the logic that matters. What you hand off is the plumbing, the enrichment waterfall, the scraping, the prompt chains that break on model updates. You spend your hours on new plays instead of patching the old one at 11pm.
Is the research good enough to replace my own pipeline?
The engine reads 100+ sources per contact and returns structured contact and account layers, the role change, the post, the funding, the hiring signal. You inherit that depth without owning the infrastructure, and the output is clean fields rather than a brittle chain you maintain.
What about deliverability and dialing on top of the data?
They sit on the same owned foundation. 95% mobile direct-dial accuracy across 800M+ contacts means researched records connect on the first try, and deliverability is enforced inside the platform, so well-researched emails are not torched by a warm-up tool you bolted on and forgot.
How does this change the budget I have to defend?
You defend a simpler architecture. One $99 seat replaces a $300 to $470 stack of provider credits, a sequencer, a research tool, and a dialer add-on, so the case is a shorter invoice list and one data definition, not four.
Run the engine without being the thing that keeps it alive
Point it at one account. Watch the research run, the contact and account layers come back structured, and the first touch go out, all on owned data, with no waterfall to patch.
Get started for free