Don't build it from scratch.
Build it on Evergrowth.
You want control over your GTM stack: custom qualification logic, proprietary data, your own scoring. Fair. But building the infrastructure underneath takes 12 months. Evergrowth gives you the foundation (13 types of specialized agents, 20+ data vendors, CRM sync, compliance) so your team builds the custom layer that actually matters, not the plumbing.
See what's already builtThe custom layer is where your edge lives
Most teams don't actually want to build an agent platform. They want to build the GTM logic unique to their business. Here's what that usually looks like.
Proprietary qualification logic
Scoring rules tied to your product usage data, signals only your team can see, qualification criteria specific to your ICP. The logic that makes your pipeline different from every competitor using the same data vendors.
Custom data and internal systems
Your data warehouse. Your product telemetry. Your Slack workflows. Your internal lead scoring. The integrations no off-the-shelf vendor would build, because they're specific to your stack.
Workflows tuned to how you sell
Your playbooks. Your sales motion. Your handoffs between BDR, AE, and CS. The exact sequence of research, enrichment, and outreach that fits how your team actually closes deals.
Building from scratch means spending 80% of your time on plumbing you'll never differentiate on
The custom GTM logic is where your edge is. Everything else underneath (the agent orchestration, the data pipelines, the CRM sync, the compliance) is a commodity tax every internal build pays. Evergrowth removes it.
The three layers of an agent platform
LLM orchestration, prompt versioning, output storage, retry logic, cost tracking. Every team building internally rebuilds the same foundation. None of it differentiates your GTM.
20+ data vendor APIs. CRM bi-directional sync across HubSpot, Salesforce, Pipedrive. SOC 2, ISO 27001, GDPR. Months of engineering, zero unique value to your customers.
Your qualification criteria. Your persona definitions. Your signal interpretation. Your playbooks. The only layer that actually differentiates your pipeline from a competitor's.
Before vs After: what your team actually works on
Engineers spend 10 months on plumbing before shipping a single custom workflow.
Engineers start shipping custom GTM logic in week 4. We handle the rest.
Account qualification
Account research
Account planning
Contact qualification
DISC profile
Contact finder
Evergrowth is the foundation. Your team builds the edge.
You're not choosing between "buy Evergrowth" and "build your own." You're choosing what your engineers spend their time on.
What Evergrowth gives you out of the box
- 13 types of specialized GTM agents: qualification, research, contact finding, enrichment, copywriting, coaching
- Waterfall enrichment across 20+ data vendors, no contracts to negotiate
- Bi-directional CRM sync: HubSpot, Salesforce, Pipedrive, Dynamics, Zoho, Attio
- SOC 2 Type II, ISO 27001, GDPR compliance
- Agent Training Center: structured schemas for value props, ICPs, personas, key accounts
- Ongoing model, API, and vendor maintenance, handled by us
What your team builds on top
- Custom signals: pull from product telemetry, data warehouse, or proprietary sources into agent context
- Proprietary scoring: override or extend qualification logic with your own rules
- Internal workflows: trigger agents from Slack, your CRM, internal tools, or scheduled jobs
- Custom agent prompts: tune research and copywriting agents to your tone, methodology, and playbooks
- Extended integrations: connect agents to whatever internal system makes your GTM unique
- Your own agents: use our APIs to build bespoke agents where the 13 types don't fit
How build-from-scratch compares to build-on-Evergrowth
The build-vs-buy debate is a false choice. The real question is what your engineers spend their time on.
| Build from scratch | Build on Evergrowth | |
|---|---|---|
| Time to first custom logic | 10-12 months | 2-4 weeks |
| Engineering focus | 80% infrastructure, 20% differentiation | 20% infrastructure (handled by us), 80% your edge |
| 13 types of pre-built agents | Build each one yourself | Use, extend, or override any of them. See the full workspace → |
| 20+ data vendor integrations | Negotiate and build each API | Included, no separate contracts |
| CRM sync | Build per CRM | Native bi-directional out of the box. View integrations → |
| Compliance | Build SOC 2, ISO, GDPR from scratch | Already certified. Security & Trust → |
| Proprietary data and scoring | Yes, after you finish the plumbing | Yes, from day one, via our APIs |
| Custom workflows and playbooks | Yes, after you finish the plumbing | Yes, from day one, extend any agent |
| Maintenance tax | Forever: LLM APIs, data vendors, CRMs | We handle infrastructure; you maintain your custom layer only |
| Total engineering cost | $500K+/year on infra you'll never differentiate on | Subscription plus a small team on differentiation |
Stop rebuilding the commodity. Start building the edge.
The teams winning with AI GTM aren't the ones who built the best agent orchestration. They're the ones who spent their time on the logic nobody else has.
Skip 10 months of infrastructure
Agent orchestration, prompt versioning, data vendor APIs, CRM sync, compliance. All handled. Your team starts on the custom layer in week 4, not month 10.
Build the differentiation, not the plumbing
Your engineers work on what makes your GTM unique: proprietary signals, custom scoring, playbook logic, not wiring up an LLM to a data vendor API for the 500th time in the industry.
Extend, don't replace
Use the 13 types of agents as-is, extend them with your own data and prompts, override their logic where you have a better approach, or build entirely custom agents on our APIs. You're never locked in.
We absorb the entropy. You own the edge.
LLM APIs change. Data vendors deprecate. Models get replaced. That surface area doesn't belong on your engineering team's plate. We handle it forever, so your team stays focused on the GTM logic only you can build.