Your revenue stack needs an engineer inside it, not a consultant outside it.
NeuroGTM delivers forward deployed AI engineering for GTM teams. We build agentic workflows, wire your integrations, and deploy AI agents directly into your revenue infrastructure - live, in production, alongside your team.
What forward deployed engineering actually means
Palantir invented the concept. Anthropic and OpenAI just validated it with $11.5 billion in combined PE-backed ventures. EY and Accenture launched formal FDE practices. Job postings for the role surged 800% in 2025.
The core idea: instead of handing a client a spec or a dashboard, you embed an engineer inside their infrastructure who builds, deploys, and iterates live. The system gets built where the problem lives - not in a sandbox that gets thrown over the wall.
Traditional Consulting
- Delivers a document
- Recommends tools
- 6-month implementation timeline
- Your team executes the plan
- Scope creep on every change
Forward Deployed
- Delivers a running system
- Builds on your existing tools
- 2 weeks to production
- Engineer builds it live
- Iterates as requirements change
GTM infrastructure is too messy to solve from a distance
Your CRM schema is unique. Your sales process has handoffs that don't match any template. Your reps ignore half the fields. Your data lives in six tools that don't talk to each other.
You can't spec an AI agent for this environment without being inside it. Forward deployed means the engineer sees your actual data, builds against your actual workflows, and iterates based on what your team actually does - not what the CRM says they do.
- Deal risk detection built on your pipeline's real signals
- Lead scoring trained on your actual win patterns
- Routing logic matched to your rep coverage and ICP
- MEDDIC extraction tuned to your team's call style
- Integrations wired between the tools you actually use
The FDE model without the $200K hire
Most companies that need forward deployed AI engineering don't need a full-time senior engineer. The implementation work peaks hard in the first 90 days, then drops to iteration and maintenance. We match the engagement model to that reality.
Sprint
$4,000 / 2 weeksDiagnose your stack, connect your tools, configure your CRM for AI, and stand up your intelligence layer. You leave with a working foundation.
Build
$8,000 / monthAI agents layered on your Sprint foundation - deal risk, lead scoring, pre-call briefs, pipeline alerts, and custom agents scoped to your workflow.
Fractional RevOps
$6,000 / monthOngoing AI ops management. New automations shipped monthly, agents tuned, signals sharpened. Your system grows as your team scales.
Get the forward deployed model for your GTM stack.
30-minute call. We map your pipeline, find the automation gaps, and tell you exactly what's worth building first.
Book a free GTM auditFrequently Asked Questions
What is a forward deployed engineer?
A forward deployed engineer embeds directly inside your business infrastructure to build, customize, and deploy technical solutions in production - not from a distance. The model was pioneered by Palantir and is now being adopted by Anthropic, OpenAI, and major consultancies like EY and Accenture.
How is this different from hiring a RevOps consultant?
A consultant audits your stack and hands you a document. A forward deployed engineer builds working systems inside your tools - agents, automations, integrations - and iterates live alongside your team. You get a running system, not a recommendation.
Do I need to hire a full-time FDE?
Most companies at Series A to B don't need a full-time hire at $200K+. The implementation work peaks in the first 90 days, then drops to maintenance. A sprint engagement followed by a retainer gives you the FDE model without the permanent headcount.
What tools do you work with?
HubSpot, Salesforce, Gong, Slack, n8n, Make, Clay, Apollo - plus AI from OpenAI, Anthropic, and open-source models. We build on your existing stack, not a proprietary platform.
How fast can you deploy?
Core infrastructure goes live in a 2-week Sprint. AI agents and advanced workflows layer on top over the following 1-3 months. You see working software in days, not quarters.
What do I own when the engagement ends?
Everything. The agents, workflows, prompts, integrations, and documentation are fully yours. Nothing is locked into our systems or breaks when a contract ends.