AI Outbound & SDR Engine Development

We build the cold email AI personalization layers, lead enrichment pipelines, and sequence orchestration engines that AI outbound startups ship to production.

What we build

Cold email AI personalization

Per-prospect personalization layers, prompt engineering for tone matching, and multi-step research-then-write pipelines.

Lead enrichment pipelines

Multi-source enrichment (Clay, Apollo, ZoomInfo, LinkedIn) with validation, deduplication, and scoring.

Sequence orchestration

Multi-channel sequence engines (email + LinkedIn + phone) with branching logic and response handling.

Reply classification

LLM-based reply intent classification: interested, not now, not relevant, or out of office, each with its own routing rule.

CRM sync layer

Bi-directional sync with HubSpot, Salesforce, Pipedrive, Outreach, and Apollo. Activity logging and deal updates.

Deliverability infrastructure

Sender reputation management, warmup automation, bounce handling, and domain rotation strategies.

Analytics dashboard on a laptop screen

Marketing data that resists wishful thinking

Reference architecture

  1. Enrichment API
  2. Personalization LLM
  3. Sequence Engine
  4. Delivery Infrastructure
  5. Reply Classifier
  6. CRM Sync

A typical AI outbound system: enrichment feeds the personalization model, the sequence engine schedules multi-channel touches, delivery infrastructure protects sender reputation, and the reply classifier routes responses back into your CRM.

Integrations shipped across 25+ partners.

Lead data

  • Apollo
  • Clay
  • ZoomInfo
  • Hunter
  • RB2B

CRMs

  • HubSpot
  • Salesforce
  • Pipedrive
  • Outreach
  • Salesloft
  • Apollo

Email infrastructure

  • SendGrid
  • Postmark
  • Resend
  • Mailgun
  • AWS SES

Deliverability

  • GlockApps
  • MailReach
  • Smartlead

AI providers

  • OpenAI
  • Anthropic
  • OpenRouter

Engagement tracking

  • Mixpanel
  • Amplitude
  • Segment

Which engagement fits

01

Project Build

For building the core engine: enrichment, personalization, sequencing, and delivery, in a focused 6–14 week scope.

Explore Project Build
02

Embedded Squad

For evolving roadmaps as the product scales: a dedicated team that ships alongside yours week over week.

Explore Embedded Squad
03

Tech Audit

For de-risking your current build before deciding scope: a 5-day diagnostic of architecture, deliverability, and readiness to scale.

Explore Tech Audit

Compliance considerations

Compliance posture for AI outbound builds. Status reflects how we engineer the controls into your platform.
StandardStatusWhat we ship
GDPR / UK GDPRCompliantLawful-basis handling, data subject rights, and retention controls baked into enrichment and storage.
CCPA / CPRACompliantConsumer opt-out handling and do-not-sell signals wired through the enrichment and sequencing layers.
CAN-SPAM / CASLCompliantSuppression lists, unsubscribe enforcement, and physical-address/identification requirements on every send.
SPF / DKIM / DMARCIn progressSender authentication setup and monitoring, configured per domain during deliverability hardening.
Data analyst working at a workstation with multiple data views

Built for marketing engineering

Attribution, personalisation, and scale in production

Marketing AI products live or die on data quality, latency, and whether the numbers hold up under real traffic. We build for the dashboard that a CMO opens at 8am on Monday.

Frequently asked questions

  • Almost certainly. We ship production integrations across lead data (Apollo, Clay, ZoomInfo, Hunter, RB2B), CRMs (HubSpot, Salesforce, Pipedrive, Outreach, Salesloft, Apollo), and email infrastructure (SendGrid, Postmark, Resend, Mailgun, AWS SES). If a tool has an API, we can wire it in. If it doesn’t, we’ll tell you the honest workaround.

Building an AI outbound product? Schedule a meeting.

We’ve shipped the personalization, enrichment, and deliverability layers AI outbound startups run in production. Tell us what you’re building.