From Templated Outreach to a Custom AI Revenue Engine
Instantly needed an AI engine that could personalize outreach at a massive scale without triggering spam filters. Pinnasys redesigned its AI infrastructure to deliver contextual, high-converting cold email campaigns.
3x
Revenue growth
10x
Deals closed
The Problem
Scaling Cold Outreach Without Compromising Deliverability
Instantly is a sales engagement and lead intelligence platform used by 50,000+ teams to run cold email outreach at scale. The platform manages unlimited connected sending accounts, a 450M+ contact database, and millions of daily sends across all regions and verticals.
The challenge was structural. Generic templates and basic merge fields started failing as volume grew. Spam filters flagged repeating patterns, sender reputation dropped, and open rates collapsed. Agencies needed real personalization at scale, but manually customizing each email was impossible. The platform required an AI layer that could balance relevance with volume without compromising deliverability.
Our Approach
Custom AI Development to Rebuild the AI Layer From the Prompt Up
Pinnasys worked directly with Instantly's engineering team as an AI development partner rather than an external consultancy. Instead of bolting another feature onto the platform, we rebuilt the core prompt architecture that powers every email Instantly generates. The design principle came first. Deliverability and personalization are not in tension.
They reinforce each other because emails that feel written for the recipient perform better with spam filters and with human readers. On top of that foundation, we built a system for contextual prompt engineering. The system pulls live prospect signals, including company, role, industry, and recent activity, into every generation. Each email now reads as if a well-researched SDR wrote it. Supporting layers handle retrieval, output diversity, quality scoring, and per-account routing across thousands of accounts.
Contextual Prompt Engineering
Dynamic prompts adjust to prospect data, industry signals, and campaign goals, generating emails that read as if written one by one.
AI-Powered Lead Intelligence
The Leads Finder uses natural language search to surface and qualify prospects by title, industry, location, and company size.
Deliverability-First Generation
Every AI-generated email undergoes spam trigger analysis, repetition detection, and uniqueness scoring before leaving the platform.
Multi-Account Scale Architecture
AI automation, caching, and diversity controls work together to ensure every account produces unique copy, even during peak loads.
A Templated Workflow Turned Into an AI-Powered Revenue Engine
From Generic Templates to an AI-Powered Revenue Engine.
3x
Revenue growth driven by AI-powered outreach
10x
More deals closed through personalised AI campaigns
Millions
Of AI-personalised emails generated daily
Zero
Spam filter degradation — deliverability maintained at scale
Head of Growth — Instantly — Sales Engagement Platform
Three Engineering Notes From the Instantly AI Project
Treat Deliverability as a First-Class Constraint
Generated copy is worthless if it lands in spam. We treated deliverability as a hard constraint in the prompt architecture rather than a post-send check.
Real Prospect Data Wins Over Smart Phrasing
Generic personalization tokens never matched the lift from contextual data. Real signals consistently outperformed creative phrasing.
Scale Demands Architecture, Not Just Prompts
With millions of emails a day, prompt engineering alone fails. You need caching layers, output diversity checks, and quality monitoring at the infrastructure level.
See How Other Businesses Are Using AI with Pinnasys.
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