GTM Engineering · As a System

Your GTM engineer.
Already trained
on your business.

Engram connects to your stack, learns your context, and runs your GTM — in your voice, without rebuilding it every time something changes.

Book a demo See how it works ↓
13
Active flows
44
Skills
3
GTM functions
30+
Connectors
What is Engram

GTM runs on context.
Most teams lose it every week.

Every new hire starts from zero. Every campaign brief gets rebuilt from scratch. Every sales call is a scramble through CRM notes that aren't quite right.

Engram is a GTM engineering system that connects to your stack, learns your business end-to-end, and runs the context-heavy work that falls through the cracks between your people and your tools.

The agent ARIA
Connects to Your CRM, Slack, Google Drive, call transcripts, social platforms, and outreach tools.
MarketingICP signals surfaced daily, voice-matched content, and live positioning intelligence.
SalesPersonalized outbound sequences, pre-call briefs, and pipeline scoring with clear next actions.
Customer SuccessOnboarding context briefs, renewal intelligence, and champion tracking across every account.
How It Works

13 flows across three GTM functions.

ARIA runs the context-heavy work across Marketing, Sales, and Customer Success. Click a function to browse the flows — each one shows what it produces, which skills run it, and what it connects to.

Connectors

Works inside your existing stack.

ARIA plugs into what you already use. If you run it, we connect to it.

The Engram Edge

Sitting above the models. Below your tool stack.

The layer between your tools and the outputs your team can use. Engram holds three things that make every output specific to your business.

Your tool stack
CRM, calls, docs, social, outreach, support
Engram
Vertical memory, marketing context, scaling taste
Foundation models
Reasoning, retrieval, generation, synthesis
01 — Memory
Vertical
memory
Engram holds your ICP definition, your brand voice, your best customers' exact words, and your positioning decisions. Every output draws from it. Every output updates it.
02 — Context
Marketing
context
What marketing learns about ICP fit shows up in sales sequences. What CS hears in renewals shows up in positioning. One source of truth, current across all three functions.
03 — Taste
Scaling
taste
The calibration a founder brings to the first hundred deals rarely reaches deal 1,000. Engram captures it and carries it forward — outputs hold quality as the team grows.
The Format

Forward deployed.
Embedded in your team.

We embed directly into your team as a forward-deployed GTM engineer — building the workflows, deploying the automations, working in your actual stack. You own what we build.

Deployment
Embedded in your team
We operate inside your Slack, your CRM, your Notion or Linear. Present in the work, alongside the people doing it — not a separate tool to check.
Scale
Built for teams of up to 10
For early and growth-stage GTM teams where one person covers the work of four. We help the small team operate at the output level of a much larger one.
Execution
Works in your stack
We don't ask you to change tools. We plug into what you have, connect what's currently siloed, and deploy flows that run inside the systems your team already uses.
Compounding
Taste + ops compound over time
Each cycle, Engram learns more about your business. Each output improves the next. The gap between you and slower-moving competitors widens.
Book a demo Get in touch
The Team

Built by founders with 2 decades of experience in both marketing and engineering.

Shagun Ohri
Shagun Ohri
Co-founder, CEO
Ran 100+ brand engagements across 7 years and watched the same context get rebuilt from scratch.
2x founder with 14+ years in brand and marketing. Built The Satori Studio to multi-million dollar revenue and 100+ startup clients, joined Nykaa before IPO, and most recently led marketing at Together Fund with the Series A-B companies Engram is built for.
Siddhant Singh
Siddhant Singh
Co-founder, CTO
Built generative infrastructure for enterprise brands and learned models without brand guardrails produce high-speed garbage.
Built Vinci for brands like Volkswagen, J&J, and DDB, where inconsistency was the core problem. Previously helped scale Flipkart Ads to $1B ARR. Now building Engram's orchestration, hypergraph brand context engine, and retrieval stack.
Pratyush Chauhan
Pratyush Chauhan
Founding AI Engineer
Georgia Tech researcher focused on generative media, agents, and the infrastructure behind AI-native products.
Built agentic workflows, long-memory systems, and content generation infrastructure at Vinci, then brought that systems depth into Engram as a founding engineer.
Substack

Latest writing from our team

Subscribe on Substack →
May 27, 2026
The Agent-Proof Founder: Building for the Economy That's Already Watching You
Silicon Valley may have horse blinders but the peripherals are 20/20.
Apr 9, 2026
The Cost of Amnesiac AI: What AI remembers will matter more than what it generates
Mar 17, 2026
I'm building something to replace myself, and the interface keeps getting in the way.
Jan 27, 2026
Brand Shame and Speed Trap: The Structural Problem in AI Companies
Jan 9, 2026
What Inspires A Brand.
Work with Engram

Built for the team that's serious about GTM.

For companies
Let's talk about
your GTM.
If your team is 2–10 people, generating pipeline manually, and losing context between functions — we should talk. One conversation to know if we're a fit.
Book a demo
For connectors
Know someone
who fits?
If you know a GTM team we should meet — or a company hiring a GTM engineer who could use a system instead of a headcount — we'd love the intro.
Make an intro →