Autoengage AI
AI-personalized outbound platform shipped to production with sub-100ms enrichment latency and 6-figure ARR within six months.
We build the AI ad platforms, outbound engines, AEO tools, and content engines that funded marketing-AI startups ship to production.
180+ products shipped75+ funded clients2019 Founded
Capabilities
Production application layers for the campaign, content, and revenue workflows around your models.
Ad generation engines that produce multiple creative variants, feedback loops that show which one is working, and checks that catch off-brand creative before it ships. Platform-specific output for Meta, Google, TikTok, and LinkedIn.
Cold-email personalization at scale, lead enrichment pipelines, sequence orchestration, reply classification, and CRM sync, all built to clear deliverability thresholds.
Content engines, AI-search optimization for ChatGPT, Perplexity, and Claude visibility, schema generation, and ranking trackers, built on content pipelines that hold up in production.
Briefing → drafting → editing → distribution pipelines with brand-voice fine-tuning, multi-language support, and fact-checking built in. Built for editorial teams who publish daily.
Lead routing engines, scoring models, sales workflow automation, and multi-tool integrations, stitched into one coherent revenue pipeline.
Multi-touch attribution models, ad-platform data normalization, custom dashboards, and ROI calculators for your end users, built on infrastructure that tracks every event correctly.
Web and email personalization, segment models, A/B/n testing infrastructure, and real-time inference, fast enough to run without slowing the page down.
Customer data infrastructure, event tracking, identity resolution, audience builders, and BI dashboards: the foundation every other AI marketing system in your stack depends on.
Marketing systems
Each route goes deeper on the workflows, integrations, and production constraints for that part of the marketing stack.
Production proof
Measured outcomes stay attached to the systems that produced them.
AI-personalized outbound platform shipped to production with sub-100ms enrichment latency and 6-figure ARR within six months.
Multi-variant ad generation engine integrating Meta, Google, and LinkedIn APIs, with checks that catch off-brand creative and feedback loops that show which ad is winning.
Real-time AI commenting product handling thousands of personalized replies a day, with platform-policy checks and reply quality scoring.
Conversational commerce agent for end-customer marketing journeys: an AI-driven checkout flow, attribution, and CRM sync built on Anthropic and a vector store.
Architecture
Ad spend, CRM events, and web behaviour need one owned path before a model can return useful signal. We build that application layer around your model providers.
Integrations
We connect the operating stack you already use, with clear ownership of event contracts, retries, rate limits, and failure states.
Ad platforms
CRM and RevOps
Analytics
Content and SEO
Model providers
Email infrastructure
Control posture
| Standard | Status | What we ship |
|---|---|---|
| GDPR / UK GDPR | Compliant | Lawful-basis records, DPA templates, data subject request flows, retention enforcement at the schema level. |
| CCPA / CPRA | Compliant | "Do not sell" toggles, consumer-request endpoints, and audit logs that satisfy California disclosure rules. |
| CAN-SPAM / CASL | Compliant | Consent capture, unsubscribe-within-10-days enforcement, and physical-address footers wired into your outbound engines. |
| Ad platform policies | Compliant | Working knowledge of Meta, Google, LinkedIn, and TikTok advertising policies; creative review hooks; account-health monitoring. |
| ISO 27001 | Not yet | Internal controls library in place; no certification held. |
| SOC 2 | Not yet | Planned alongside ISO 27001 once the controls baseline is externally validated. |

Marketing data that holds up under real traffic

Production context
We engineer the data paths, application workflows, and safety limits that turn AI capability into a product your customers can run every day.
Free diagnostic
A focused review of architecture, model spend, and the bottlenecks holding back growth.
60-min audit of your AI marketing platform's architecture, model spend, and growth bottlenecks.
Request my free auditStart with a two-week technical read or bring in a senior team for the build. Each route begins with the constraints already in your stack.
Typical engagement runs 6–14 weeks, scoped and priced per project. Start with a $499 Tech Audit.
Testimonials
Real client reviews: 4.6/5 across 58, every one checkable at source. Lightly copyedited for spelling only.
4.6/5across 58 verified client reviews.Read them all at source
From the founder
I started Robust Devs in 2019 after watching too many good products die between agencies. The pattern was always the same: big promises in the sales call, silence by week six. We built this firm to be the opposite of that. A small senior team, honest scope, and the uncomfortable truth delivered early.
If you are building in marketing, healthtech, or fintech, tell me what you are working on. If we are not the right team for it, I will say so on the first call and point you somewhere better.

Tayyab Hanif
CEO, Robust Devs
Scope, integrations, ownership, and what happens before a build starts.
We default to the best off-the-shelf model for the job: OpenAI, Anthropic, or Google Vertex AI most of the time. We fine-tune when there's a genuine accuracy or cost win, but training a model from scratch is almost never the right call for an AI marketing product. We'll be honest about the trade-off.
Readiness check
Use the checklist to find production risks before they become roadmap work.
Self-assessment checklist for AI product teams to gauge production readiness.
Get my free checklist