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Massivo

A serverless backend platform automating multi-channel marketing campaigns for a global consumer goods company across 180 markets.

Services
Team Extension services
Client
Under NDA
Location
California, USA
Industry
Ecommerce Marketplace Development Services
Results
40%
reduction in manual campaign management effort
3x
faster campaign rollout across new markets
35%
improvement in user engagement through personalized deeplinks
Current thumbnail
Team
AI / LLM EngineerAPI / Integration DeveloperAzure Cloud Engineer
Technologies
Amazon EC2
Python
ReactJS

Agentic AI Automation

  • The difficulties that this technique overcomes are frequently.
  • The difficulties that this technique overcomes are frequently not present while building.
  • For instance, according to the latest statistics.
  • The difficulties that this technique overcomes are frequently not present.
Agentic AI Automation

Natural Language Task Conversion

  • The difficulties that this technique overcomes are frequently.
  • The difficulties that this technique overcomes are frequently not present while building.
  • For instance, according to the latest statistics.
  • The difficulties that this technique overcomes are frequently not present.
Natural Language Task Conversion

Have a similar challenge? We can help!

How we actually ran this thing

Building CompanAIn wasn't just about writing good code.

It was about staying aligned across 13 people, a fast-moving roadmap, and a client who was hands-on from day one. Here's how we kept it together. Tools we used: Linear, Figma, Notion, Slack, GitHub, AWS, Loom

Discovery & Scoping

We started with product workshops to map the core AI flows before writing a single line. Every agent protocol was defined alongside veterinarians, not after.

Execution & Tracking

We ran two-week sprints with async standups and weekly syncs with the CompanAIn founders. Progress was tracked in Linear, design iterations lived in Figma with version history the client could always access.

Quality & Delivery

Every AI output went through structured QA with species-specific test cases. The iOS release went through two beta cycles on TestFlight before App Store submission.

Challenges & Solutions

challenge #1

No unified way to reach users across channels

solution #1

A unified messaging abstraction layer routing all campaign traffic through a single interface, regardless of platform.

challenge #2

Every market requires different integration configuration

solution #2

Configurable integration architecture enabling per-country setup without modifications to core system logic.

challenge #3

No reliable engagement signal from Telegram campaigns

solution #3

A custom event-driven tracking system mapping Telegram reactions to specific campaigns and users in real time.

сhallenge #4

Sensitive user data exposed through unprotected deeplinks

solution #4

End-to-end encrypted deeplink flow with server-side token generation, validation, and configurable expiry.

сhallenge #5

Maintaining code standards across a large distributed team

solution #5

A structured, high-detail code review process enforcing consistency across 22 developers with zero-deviation standards.

Clients say

Abdulrahman Aql
Abdulrahman Aql
PMO Manager at Tarmeez

Incora’s team is easy to communicate with and produces high-quality work. They’re also proactive and suggest good solutions for the product. It’s clear they want to make the product better and care about the quality of their work.

David Park
David Park
CEO & Co-Founder, Narada AI

Once we showed designs (e.g. Figma) of what we needed, along with aggressive deadlines, Incora always delivered on time and in many cases when above and beyond to build beautiful, robust UI interfaces for us. In addition to the high skill level of their engineers, I am very impressed with how personable and kind every employee, including their leadership, is. Their values and professionalism stand out, and they make it easy to partner with and communicate with them!

More cases like this

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