Engineer your revenue systems using AI.
Put your revenue on autopilot using a GTM architecture that wires every signal, tool, and workflow into one revenue engine.
From signal to revenue, one connected system.
This is what we call GTM Engineering — the discipline of replacing the duct-taped stack of signals, data, and tools most teams stitch together with one connected system. The architecture splits into four stages — Identify, Qualify, Engage, and Convert & Retain. Click any stage to see the tools inside.
Identify
Multi-signal account detection — visitor ID, intent, social, hires, funding — unified into a single warehouse and CRM hub with firmographic enrichment.
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Qualify
Multi-signal account detection — visitor ID, intent, social, hires, funding — unified into a single warehouse and CRM hub with firmographic enrichment.
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Engage
Multi-signal account detection — visitor ID, intent, social, hires, funding — unified into a single warehouse and CRM hub with firmographic enrichment.
Convert & Retain
Multi-signal account detection — visitor ID, intent, social, hires, funding — unified into a single warehouse and CRM hub with firmographic enrichment.
Book a strategy call.
Get a GTM engine that wires intent, enrichment, AI outreach, and revenue ops into one connected system — designed for your ICP, deployed in 30 days.
See what AI-led GTM is worth to your pipeline.
Enter your current sales setup and the architecture investment. We'll show you the 12-month revenue impact, efficiency savings, payback period, and net ROI.
Where you are today
Your existing sales motion — team, pipeline, and economics.
What you'll invest
The new tech stack + implementation — the only numbers you need to add.
Includes new tech stack + one-time implementation. We do not assume you cut existing headcount — the productivity gains compound on top of your current team.
Uplift estimates are conservative mid-case targets from our deployed case studies — PropTech ($1.2M pipeline / 14mo), SaaS Enterprise ($200K / 4mo), and others. Baked-in defaults: +60% SDR output, +5pp conversion, +15% deal size, 15% shorter cycles. Only 40% of theoretical Year-1 upside is recognised — the rest carries into Y2 pipeline.
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What questions do we hear
about GTM Engineering often?
We build and run AI-native GTM systems for B2B companies - outbound, inbound, RevOps, and the automation layer that connects them.
You can hire us to design the system, build it, and run it end-to-end every month, or just one of those. Most clients pick "build and run."
We are tool-agnostic - what we sell is the orchestration: stitching Clay, Claude Code, Deepline, HubSpot, Apollo, HeyReach, Email Bison and the rest into a system that produces pipeline.
We run it. We've done short consulting engagements before, but our default is end-to-end execution. We build the infrastructure, write the messaging, run the campaigns, manage deliverability, handle the data layer, and automations.
You work directly with one of the founders, Soumya or Prashant, for the life of the engagement. We stay small on purpose so this doesn't turn into a sold-by-partner, delivered-by-intern situation.
Specialists join when the work calls for it (content writer for blogs, SEO expert for AI SEO, Webflow dev for site work), but the GTM thinking and execution sits with us.
Both. Our roots are B2B SaaS and that's still the majority of our portfolio, but we also run programs for IT, consulting, and professional services companies.
Yes, as the front of a longer engine. For long-cycle, high-ACV motions we layer four campaign types: intent-based outbound (RB2B, Unify, Trigify, hiring signals, lease signals, funding signals), lead nurturing, dormant database re-engagement, and referral plays. Pure cold email rarely produces enterprise meetings in volume; the combination consistently does.
Yes, the strategy just shifts. With zero brand recognition, pure volume cold email underperforms because recipients have no context for who you are. We compensate with tighter ICP targeting using intent signals, heavy personalization at the opener using public signals (funding, lease, hiring, leadership change), and multi-channel sequencing so the LinkedIn warm touch lands before the email. We run this playbook regularly for India-to-US and India-to-UK expansion programs.
Two weeks from contract to first send. Week 1 covers ICP alignment, account mapping, messaging, tool setup, and infrastructure provisioning. Week 2 is domain warmup, sequence build, list load, and first send.
End of month 2 is when reply rates and meetings find their rhythm. Month 3 is when we know what's working, kill what isn't, and double down.
Fixed monthly retainer, starting at $2,500/month and scaling with scope. Most engagements land between $2,500 and $6,000/month depending on email volume, channel mix, geos, and whether CRM/RevOps work is included.
We don't do pure outcome-based pricing because infrastructure, list building, and messaging cost the same regardless of meetings booked, and outcome-only models tend to push agencies toward shortcuts that wreck your domain. We do stand behind the outcomes we forecast in the proposal; it's just not the billing mechanism.